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Review

Homeobox Gene Expression Dysregulation as Potential Diagnostic and Prognostic Biomarkers in Bladder Cancer

by
Fee-Wai Chin
1,
Soon-Choy Chan
2,* and
Abhi Veerakumarasivam
3,*
1
Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia
2
School of Liberal Arts, Science and Technology, Perdana University, Kuala Lumpur 50490, Malaysia
3
School of Medical and Life Sciences, Sunway University, Bandar Sunway 47500, Selangor, Malaysia
*
Authors to whom correspondence should be addressed.
Diagnostics 2023, 13(16), 2641; https://doi.org/10.3390/diagnostics13162641
Submission received: 30 May 2023 / Revised: 7 July 2023 / Accepted: 10 July 2023 / Published: 10 August 2023
(This article belongs to the Special Issue Advanced Diagnosis and Treatment Strategies for Bladder Cancer)

Abstract

:
Homeobox genes serve as master regulatory transcription factors that regulate gene expression during embryogenesis. A homeobox gene may have either tumor-promoting or tumor-suppressive properties depending on the specific organ or cell lineage where it is expressed. The dysregulation of homeobox genes has been reported in various human cancers, including bladder cancer. The dysregulated expression of homeobox genes has been associated with bladder cancer clinical outcomes. Although bladder cancer has high risk of tumor recurrence and progression, it is highly challenging for clinicians to accurately predict the risk of tumor recurrence and progression at the initial point of diagnosis. Cystoscopy is the routine surveillance method used to detect tumor recurrence. However, the procedure causes significant discomfort and pain that results in poor surveillance follow-up amongst patients. Therefore, the development of reliable non-invasive biomarkers for the early detection and monitoring of bladder cancer is crucial. This review provides a comprehensive overview of the diagnostic and prognostic potential of homeobox gene expression dysregulation in bladder cancer.

1. Introduction

Homeobox genes are a superfamily of regulatory genes that encode transcription factors that regulate cell differentiation and morphogenesis during embryogenesis [1,2]. A homeobox gene contains a homeobox sequence that encodes a homeoprotein that contains a highly conserved homeodomain. The homeodomain acts as a transcriptional regulator to activate and repress downstream target genes [3,4]. Homeobox genes can be categorized into clustered (HOX) and non-clustered (non-HOX) homeobox genes. HOX homeobox genes are further classified into four gene clusters (HOX A, HOX B, HOX C, and HOX D) that are located on different chromosomes. Non-HOX homeobox genes are dispersed throughout the genome and are located outside the HOX clusters [5].
The dysregulation of homeobox genes has been reported in various human cancers such as bladder, breast, colorectal, gastric, kidney, liver, lung, ovarian, and prostate cancers [6,7,8,9,10,11,12,13,14]. The dysregulated expression of homeobox genes in cancers has been identified in various stages of tumorigenesis that include epithelial–mesenchymal transition (EMT), cell proliferation, invasion, and metastasis [15,16,17,18]. The dysregulation of homeobox genes is driven by several mechanisms, such as DNA hypermethylation, loss of heterozygosity, gene amplification, and histone deacetylation [19]. Interestingly, a homeobox gene may have tumor-promoting or tumor-suppressing properties depending on the cell lineage or specific organ in which it is expressed [16,17,18].
Bladder cancer is the most common urinary tract cancer, affecting men more frequently than women [20,21]. Urothelial cell carcinoma (UCC) is the most common histological type; accounting for about 90% of all bladder cancers [22]. Approximately 70% of UCCs are non-muscle invasive bladder cancers (NMIBCs; carcinoma in situ, stages Ta and T1), while the remaining 30% are muscle invasive bladder cancers (MIBCs; stages T2-T4) [23]. Up to 50–70% of patients with NMIBC develop tumor recurrence after transurethral resection of the bladder tumor (TURBT). Of these, 10–20% of the patients will progress to MIBC [24,25]. Unfortunately, patients with MIBC frequently progress to become metastatic cancer and when this happens, patients have the poorest prognosis with a 5-year survival rate of less than 5% [26].
The high recurrence and progression rate of bladder cancer necessitate frequent and long-term surveillance [27]. However, the use of cystoscopy for the diagnosis and surveillance of bladder cancer is invasive. The procedure often causes pain and bleeding in patients, resulting in moderate to low compliance towards surveillance follow-up [28]. Thus, the development of reliable and effective biomarkers for bladder cancer is crucial. Therefore, this review aims to provide a comprehensive review of the existing literature related to the dysregulated expression of homeobox genes in bladder cancer and assessing the diagnosis and prognosis biomarker potential in bladder cancer.

2. Method of Search

A comprehensive literature search was conducted in PubMed search engine for relevant articles published as of 24 March 2022. Search was performed using the “All Fields” search function based on the search terms of “homeobox gene symbol” and “bladder cancer” used in combination with the Boolean operator “AND”. Studies regarding the following topics were selected: homeobox genes in bladder cancer related to (1) gene expression analysis, (2) transcriptomic analysis, (3) phenotypic assay, (4) microRNAs (miRNAs), (5) long non-coding RNA (lncRNA), and (6) DNA methylation. Studies regarding the following topics were excluded: (1) single nucleotide polymorphisms (SNPs), (2) mutations, (3) gene fusion, (4) alternative splicing, and (5) other cancers (not bladder cancer). In addition, journal articles written in (1) non-English, (2) case reports, and (3) review articles were also excluded.

3. Homeobox Genes in Bladder Cancer

A comprehensive summary of the literature on the dysregulation of homeobox genes expression in bladder cancer is presented in this review. A schematic representation of the dysregulated homeobox genes in bladder cancer is shown in Figure 1. It was reported that some of these homeobox genes were associated with bladder tumorigenesis (Figure 2) and clinical outcomes of bladder cancer (Figure 3).

3.1. The ANTP Homeobox Class

3.1.1. CDX2

The CDX2 encodes a transcription factor that is involved in the differentiation and proliferation of intestinal epithelial cells [29,30,31]. Differential CDX2 expression has been reported in different subtypes of bladder cancer. Positive CDX2 expression was detected in 0–22% of urothelial carcinoma of the bladder (UCB) [32,33], in 50% of UCBs following augmentation cystoplasty [34], in 85% of urachal adenocarcinomas, and in 100% of urachal carcinomas [33]. The CDX2 could be a useful biomarker to distinguish some subtypes of bladder cancers that have difficulty in differential diagnosis due to their shared morphologic resemblance. CDX2 expression was detected in 47% of primary bladder adenocarcinomas but was not detected in any primary or secondary colorectal adenocarcinomas. These findings suggest that CDX2 is a promising biomarker to distinguish primary bladder adenocarcinomas from the morphologically similar colorectal adenocarcinoma [35].
Intestinal metaplasia of the bladder exhibited a different and contrasting CDX2 immunoprofile as compared to that of its morphologically similar cystitis glandularis of the bladder. Nuclear CDX2 staining was observed in 83% of the intestinal metaplasia, whereas it was not observable in the cystitis glandularis [36]. There is a difficulty in differential diagnosis between urothelial carcinoma in situ with glandular differentiation (CISg), and concurrent conventional urothelial carcinoma in situ (cCIS). However, CDX2 expression was detected in 76% of the CISg but was not detected in the cCIS. These findings suggest that CISg can be distinguished from cCIS by immunohistochemistry (IHC) using CDX2 as the diagnostic biomarker [37].

3.1.2. EN1 and HOXB9

The Database for Annotation, Visualization, and Integrated Discovery (DAVID) analysis for differentially expressed genes (DEGs) in bladder cancer tissues as compared to normal bladder tissues identified EN1 and HOXB9 as key genes that are involved in the development and progression of bladder cancer [38].

3.1.3. EN2

Majority of bladder cancer cell lines expressed higher EN2 mRNA levels compared with the normal urothelium cell line (NHU-BTERT). These bladder cancer cell lines (EJ, RT4, RT112, and UMUC3) had moderate to high EN2 expression, whereas the normal urothelium cell line had low EN2 expression. EN2 protein was expressed in UCC, squamous cell carcinoma (SCC), and adenocarcinoma. In contrast, EN2 protein was not expressed in normal bladder tissue [39].
EN2 mRNA expression was significantly higher in bladder cancer cells than in the human uroepithelial cells (SV-HUC-1). The overexpression of EN2 promoted cell proliferation and invasion in vitro but inhibited apoptosis. Meanwhile, the knockdown of EN2 significantly promoted cell cycle arrest and apoptosis but inhibited cell proliferation and invasion in vitro as well as decreased tumor growth in vivo. Moreover, EN2 knockdown significantly decreased PI3K, pAkt-308, and pAkt-473 expression but increased PTEN expression. These findings suggest that EN2 induced the activation of the PI3K pathway by inhibiting PTEN. Taken together, EN2 may be a candidate oncogene that plays a crucial role in the development and progression of bladder cancer. In addition, EN2 may be a potential therapeutic target for bladder cancer [40]. The upregulation of EN2 and the downregulation of miR-27b were found in bladder cancer tissues and cell lines. EN2 is a direct target of miR-27b in bladder cancer, wherein EN2 is negatively regulated by miR-27b. The miR-27b significantly inhibited cell proliferation and invasion. It also enhanced the apoptosis of bladder cancer cells. The overexpression of EN2 reversed the biological effects of miR-27b on bladder cancer cells. These findings suggest that EN2 is involved in the development of bladder cancer through the negative modulation of miR-27b [41].
In urine samples, patients with stage ≥T2 tumors had significantly higher urinary EN2 protein concentrations as compared to those with stage Ta and T1 tumors. In addition, higher grade (grades 2 and 3) tumors were associated with higher mean urinary EN2 protein concentrations as compared to low grade (grade 1) tumors. These findings suggest that EN2 plays a role in the pathogenesis of bladder cancer. Urinary EN2 was detected in the majority of NMIBCs, with a sensitivity of 82% and a specificity 75%. Therefore, urinary EN2 protein could be used as a sensitive and specific biomarker for NMIBC to reduce the use of cystoscopy for bladder cancer surveillance [39]. A rapid test prototype that utilized lateral flow immunoassay technology was successfully developed to screen urine samples for the detection of EN2 protein. This non-invasive in vitro diagnostic test had an 85.5% sensitivity and a 71.7% specificity and was deemed to surpass the sensitivity and specificity of many commercially available bladder cancer markers and tests [42]. This further supports the diagnostic role of EN2 in bladder cancer. In addition, two multi biomarker panels that include EN2 were identified as potential non-invasive diagnostic tools for the diagnosis of recurrent NMIBC [43,44]. Taken together, the use of EN2 as a diagnostic biomarker is promising.

3.1.4. HOXA1

The mRNA expression levels of HOXA1 and KDM3A were significantly higher in bladder cancer tissues as compared to normal bladder tissues. KDM3A was found to regulate the growth of bladder cancer cells and HOXA1 expression through the demethylation of H3K9me2. The knockdown of KDM3A downregulated CCND1 (cell cycle progression factor) expression and arrested G1/S transition of cell cycle. The upregulation of HOXA1 activated CCND1 transcription and promoted the G1/S transition. Meanwhile, the knockdown of HOXA1 suppressed the growth of bladder cancer cells. These findings indicate that elevated KDM3A expression in bladder cancer cells transactivates HOXA1 expression through the demethylation of H3K9me2 [45].

3.1.5. HOXB2

The methylation of HOXB2, FRZB, and KRT13 was greater in invasive bladder cancers as compared to non-invasive bladder cancers. An increased HOXB2 methylation was significantly associated with invasive bladder cancer, with an 8.6-fold increased risk of developing invasive bladder cancer. In non-invasive bladder cancers, a significantly greater extent of HOXB2, FRZB, and KRT13 methylation was detected in grade 3 tumors as compared to grade 1 and 2 tumors. The methylation of these three genes was associated with aggressive non-invasive bladder cancer, with a significant 7.4-fold increased risk of developing high grade non-invasive bladder cancer. HOXB2, FRZB, and KRT13 methylation status may be potential prognostic biomarkers to predict the likelihood of getting high grade non-invasive bladder cancer, that can subsequently be used to predict tumor recurrence or progression to muscle-invasion [46]. In luminal infiltrated and luminal papillary subtypes of bladder cancer, HOXB2 mRNA expression was significantly upregulated. The knockdown of HOXB2 reduced the cell proliferation, adhesion, and invasion of bladder cancer in vitro. Meanwhile, the overexpression of HOXB2 induced cell proliferation and adhesion. These findings indicate that HOXB2 promotes cell proliferation and adhesion in bladder cancer [47].

3.1.6. HOXB5

HOXB5 mRNA was found to be overexpressed in 70% of bladder cancer tissues. In cell lines, HOXB5 mRNA expression was higher in most bladder cancer cell lines (5637, HT-1376, J82, RT4, T24, and TCCSUP) as compared to normal bladder cell lines. These findings suggest that HOXB5 may function as an oncogene in bladder cancer. The proliferation and migration abilities of bladder cancer cells were significantly decreased in a HOXB5 siRNA-transfected group as compared to the negative and mock control groups. Moreover, the HOXB5 siRNA-transfected group suppressed clonogenicity in vitro, which further supports the oncogenic function of the HOXB5 in bladder cancer [48].
In the same study, both the mRNA and protein levels of HOXB5 were downregulated in a miR-7-transfected group as compared to that of the control group, thus indicating that HOXB5 expression may be regulated by miR-7. This may be due to the presence of a SNP 1010A/G located within the miR-7 binding site in the 3′ untranslated region (UTR) of the HOXB5. An association was found between the frequency of the 1010A/G genotype and bladder cancer. The frequency of the 1010G genotype was higher in the bladder cancer group as compared to that of the normal control. Moreover, the frequency of 1010G genotype was also associated with high grade (grades 2 and 3) and high stage (stages T2–T4) tumors. These findings suggest that the presence of a SNP 1010A/G affects HOXB5 expression [48]. Furthermore, HOXB5 expression was strongly associated with tumor stage, tumor grade, and the overall survival [49]. Taken together, HOXB5 is overexpressed in bladder cancer and may act as oncogene. Hence, HOXB5 could be a useful prognostic biomarker for bladder cancer.

3.1.7. HOXC4, HOXC5, HOXC6, HOXC11, and HOXD11

Four genes (HOXC4, HOXC5, HOXC6, and HOXC11) located at the HOX C locus as well as one gene (HOXD11) located at the HOX D locus were not expressed in normal bladder tissues but expressed in most bladder cancer tissues. The expression of HOXC4, HOXC5, HOXC6, and HOXC11 was detected in 60%, 86%, 100%, and 80% of bladder cancer tissues, respectively. In addition, HOXD11 expression was detected in 57% of bladder cancer tissues. The findings suggest that these HOX genes, especially those located in the HOX C locus are involved in bladder tumorigenesis [50].

3.1.8. HOXC8

Circular RNAs have been identified as crucial regulators of gene expression and may play important roles in cancer development. CircNT5E was found to promote bladder cancer cell proliferation and migration in vitro. CircNT5E acts as an miRNA sponge for miR-502-5p. The increased expression of miR-502-5p significantly inhibited both the mRNA and protein expression of HOXC8. The suppression of circNT5E inhibited both the mRNA and protein expression of HOXC8. The overexpression of HOXC8 reversed the proliferation and migration inhibition of bladder cancer cells induced by the suppression of circNT5E expression. These findings suggest that the circNT5E/miR-502-5p/HOXC8 pathway is a potentially important pathway associated with the development and progression of bladder cancer [51].

3.1.9. HOXA9

The methylation status of a 4-gene panel (HOXA9, EOMES, POU4F2, and ZNF154) was significantly different between urine samples from bladder cancer patients and healthy individuals. The 84% sensitivity rate of the 4-gene panel methylation assay was higher than that of urinary cytology. These findings suggest that the methylation of the 4-gene panel can be used as a urinary biomarker for the early detection of bladder cancer [52]. In addition, a 6-gene panel (HOXA9, EOMES, POU4F2, TWIST1, VIM, and ZNF154) was highly hypermethylated in the urine of bladder cancer patients as compared to healthy individuals. The hypermethylation of the 6-gene panel had an 82–89% sensitivity in diagnosing bladder cancer and an 88–94% sensitivity in detecting bladder cancer recurrence. These findings suggest that methylation of the 6-gene panel can be utilized as a biomarker for the diagnosis and recurrence surveillance of bladder cancer [53].
In urine samples, the methylation status of a urinary biomarker panel (HOXA9, ONECUT2, PCDH17, PENK, TWIST1, VIM, and ZNF154) showed great prediction accuracy in predicting bladder cancer in patients with hematuria [54]. Another urinary biomarker panel (HOXA9, ONECUT2, PCDH17, and POU4F2) had a high positive predictive value and a negative predictive value in patients with hematuria [55]. These findings are useful for the detection of bladder cancer in patients with hematuria, which may help to reduce the need for cystoscopy in low-risk individuals. In relation to chemoresistance, nine genes (HOXA9, ADD1, DBNDD2, EPAS1, GCNT4, RAPGEF5, TLR4, TSTD1, and ZNF582) were found to be differentially expressed in cisplatin-resistant bladder cancer cell lines as compared to those that were cisplatin-sensitive. HOXA9 promoter methylation was associated with greater resistance to cisplatin-based chemotherapy. These findings suggest that HOXA9 promoter methylation could serve as a potential biomarker to predict chemoresistance in patients receiving cisplatin-based chemotherapy [56].
In high grade MIBC, a panel of hypermethylated genes (HOXA9, CSPG2, HOXA11, HS3ST2, SOX1, and TWIST1) was associated with muscle invasiveness. In addition, another panel of hypermethylated genes (HOXA9, APC, CSPG2, EPHA5, EYA4, IPF1, ISL1, JAK3, PITX2, SOX1, and TWIST1) predicted cancer-specific survival. These hypermethylated genes could potentially serve as biomarkers for the prognosis of bladder cancer [57]. The hypermethylation of a 3-gene panel (HOXA9, ALDH1A3, and ISL1) was observed in patients with NMIBC as compared to normal control group. The hypermethylation of the 3-gene panel is a predictor of bladder cancer recurrence, thus suggesting that the 3-gene panel is a promising biomarker for the early detection, diagnosis, and recurrence surveillance of bladder cancer [58]. There was significantly higher mean methylation of HOXA9 and ISL1 in recurrent and progressed high-grade NMIBC as compared to their non-recurrent counterparts. The concurrent methylation of HOXA9 and ISL1 predicted tumor recurrence and progression within one year, with a specificity of 90.9% and a positive predictive value of 91.7%. In relation to disease-specific mortality, the methylation of HOXA9 and ISL1 had an negative predictive value of 70.6% and 60%, respectively at a specificity of 57.1% [59]. These findings suggest that the methylation of HOXA9 and ISL1 have potential as prognostic biomarkers for bladder cancer.

3.1.10. HOXC9

The miR-193a-3p promoted multi-chemoresistance of bladder cancer by repressing HOXC9 expression. HOXC9 is a direct target of miR-193a-3p in bladder cancer. Both the mRNA and protein expression of HOXC9 were significantly higher in bladder cancer 5637 cells (multi-chemosensitive) as compared to resistant bladder cancer H-bc cells (multi-chemoresistant). The HOXC9 influences the chemoresistance promoting effect of miR-193a-3p in bladder cancer cell lines and tumor-xenografted/nude mice through the regulation of the DNA damage response and oxidative stress pathways. These findings suggest that the identified genes involved in the miR-193a-3p/HOXC9/DNA damage response/oxidative stress pathway can serve as predictive of bladder cancer chemotherapy response [60].

3.1.11. HOXA10

HOXA10 protein expression was significantly higher in bladder cancer tissues as compared to adjacent normal tissues. HOXA10 is overexpressed in bladder cancer tissues and contributes to the malignant behavior of bladder cancer cells. HOXA10 expression was significantly associated with the pathological grade and clinical stage of bladder cancer patients, thus suggesting that HOXA10 may be involved in the pathological progression of bladder cancer. The knockdown of HOXA10 in bladder cancer cells inhibited cell proliferation, migration, and invasion as well as decreased MMP3 expression. Hence, HOXA10 may be a potential biomarker for evaluating the progression of bladder cancer and a potential therapeutic target for bladder cancer [61].
HOXA10 mRNA expression was found to be significantly upregulated in bladder cancer tissues and cell lines. Patients with high HOXA10 expression had lower survival rates as compared to those with low HOXA10 expression, thus suggesting that high HOXA10 expression is related to poorer bladder cancer prognosis. The knockdown of HOXA10 inhibited cell migration and invasion in bladder cancer in vitro. In addition, HOXA10 promoted the metastasis of bladder cancer by regulating FOSLI. These findings suggest that HOXA10 may be an oncogene in bladder cancer that enhances the metastatic ability of bladder cancer cells [62].

3.1.12. HOXA11

The hypermethylation of HOXA11 was significantly more frequent in MIBC as compared to NMIBC. Thus, the silencing of HOXA11 by hypermethylation could be used as a potential diagnostic and prognostic biomarker in bladder cancer [57].

3.1.13. HOXD10

Ten miRNAs (miR-10b, miR-29a, miR-29b, miR-126, miR-142-5p, miR-146a, miR-146b-5p, miR-150, miR-155, and miR-342-3p) were upregulated, while three miRNAs (miR-143, miR-145, and miR-320) were downregulated in both primary and metastatic bladder cancers. The expression of HOXD10 was detected in these samples. In comparison to primary bladder cancer, HOXD10 was downregulated in metastatic bladder cancers. These findings suggest that HOXD10 dysregulation may associated with bladder cancer metastasis [63].
Notably, miR-10b was significantly upregulated in metastatic bladder cancer cell lines and tissues. The expression of miR-10b promoted bladder cancer cell migration and invasion in vitro but suppressed metastasis in vivo. HOXD10 and KLF4 were identified as direct targets of miR-10b in bladder cancer. The overexpression of miR-10b decreased the protein expression of HOXD10 and KLF4, whereas the downregulation of miR-10b increased the protein expression of HOXD10 and KLF4. MMP14 and E-cadherin may be the downstream targets of HOXD10 and KLF4 in the miR-10b-mediated suppression of bladder cancer metastasis. These findings indicate that miR-10b functions as a pro-metastatic miRNA in bladder cancer by targeting HOXD10 and KLF4. Therefore, the inhibition of the miR-10b/HOXD10/MMP14 and miR-10b/KLF4/E-cadherin axes may offer potential therapeutic targets for metastatic bladder cancer [64].
Propofol was found to significantly increase both the mRNA and protein expression of HOXD10 in bladder cancer T24 cells. Propofol is a commonly used intravenous anaesthetic drug that exhibits antitumor properties in human cancers. It was reported that propofol inhibited bladder cancer cell viability, migration, and invasion in vitro. HOXD10 is a direct target of miR-10b in bladder cancer cells. The overexpression of miR-10b in propofol-treated T24 cells significantly downregulated the expression of HOXD10. These findings suggest that propofol has a tumor-suppressive role in the regulation of cell viability, migration, and invasion of bladder cancer cells by targeting the miR-10b/HOXD10 signaling pathway [65].

3.1.14. HOXA13

HOXA13 encodes a transcription factor that is involved in the differentiation and morphogenesis of genitourinary tracts [66]. HOXA13 was significantly higher expressed in bladder cancer tissues as compared to adjacent normal tissues. In addition, HOXA13 expression was significantly associated with lymphatic metastasis, higher tumor stage, and higher tumor grade. Bladder cancer patients with high HOXA13 expression had shorter overall survival and disease-free survival as compared to those with low HOXA13 expression. Moreover, HOXA13 was an independent prognostic factor for the overall survival of bladder cancer patients, in which increased HOXA13 expression level was associated with a poorer bladder cancer prognosis [13].
In the urine samples of bladder cancer patients, the mRNA expression of a panel of genes (HOXA13, CDC2, IGFBP5, and MDK) was detected in 48% of stage Ta tumors, 90% of stage T1 tumors, and 100% of stage >T1 tumors at a specificity of 85%. At a high specificity of >90%, a combination of HOXA13 and IGFBP5 had greater sensitivity in detecting low stage or grade tumors as compared to that of MDK and CDC2. In addition, the HOXA13 and CDC2 combination successfully distinguished grades 1–2 from grade 3 tumors and stage Ta from stage ≥T1 tumors, at a specificity and sensitivity of 80% [67].
The upregulation of HOXA13, BLCA-4, IGF-1, and hTERT was greater in stage Ta and T1 tumors as compared to stage >T1 tumors, with the greatest differential expression in HOXA13 and BLCA-4. A combination of HOXA13 and BLCA-4 had an 80% specificity and sensitivity in differentiating low grade tumors from high grade tumors. At a specificity of 85%, a panel of biomarkers (HOXA13, BLCA-4, hTERT, and IGF-1) had detection rates of 48%, 90%, and 100% for Ta, T1, and >T1 stage tumors, respectively. Moreover, the panel had higher sensitivity than urine cytology across all tumor stages and grades. In addition, the panel detected 90% of stage T1 tumors as compared to 40% by cytology [68]. Based on pathway analysis, the genes in the biomarker panel play important roles in cell proliferation, differentiation, adhesion, and tumorigenesis [69]. Regardless of either being employed alone or in combination with other genes, HOXA13 is a useful biomarker for stratifying bladder cancer patients into different groups of tumor stages and grades. Therefore, HOXA13 helps to identify bladder cancer patient groups that require immediate surveillance and follow-up.

3.1.15. HOXB13

IHC results show that the HOXB13 protein was heterogeneously expressed in bladder cancer tissues but was lowly expressed in normal bladder tissues. In addition, MIBC had a significantly higher HOXB13 protein expression as compared to NMIBC. The findings were corroborated by quantitative real time PCR (qPCR) results, in which a low or moderate increase (2–8-fold) of HOXB13 mRNA expression was observed in all NMIBCs. In contrast, a significant increase (10–100-fold) of the HOXB13 mRNA expression was observed in the majority of MIBCs. The findings indicate that HOXB13 expression is able to distinguish between NMIBC and MIBC phenotypes. NMIBCs had low nuclear and cytoplasmic HOXB13 expression, in which the loss of nuclear HOXB13 expression was significantly correlated with disease-free survival. The identification of nuclear HOXB13 expression in NMIBC contributed to better stratification of bladder cancer patients in relation to the risk of tumor recurrence. Interestingly, MIBC had low nuclear but high cytoplasmic HOXB13 expression. High cytoplasmic HOXB13 expression was significantly associated with MIBC. Taken together, the dysregulation and delocalization of HOXB13 suggest that HOXB13 plays a crucial role in tumor evolution and is a potential prognostic biomarker for bladder cancer [14].

3.1.16. MNX1

The mRNA and protein expression of MNX1 were markedly upregulated in bladder cancer cell lines as compared to primary normal urethral epithelial cells. In addition, MNX1 expression was also significantly higher in bladder cancer tissues than in paired adjacent normal tissues. These findings show that MNX1 is upregulated in bladder cancer. High MNX1 expression was significantly correlated with a shorter 5-year overall and relapse-free survival, thus suggesting that MNX1 expression is related to a poor bladder cancer prognosis. The overexpression of MNX1 promoted cell proliferation in vitro and tumor growth in vivo, and promoted G1 to S phase transition of the cell cycle. In contrast, the downregulation of MNX1 yielded the opposite effect. These findings suggest that MNX1 promoted bladder cancer cell cycle progression, thus confirming that MNX1 promotes bladder cancer cell proliferation. In addition, MNX1 transcriptionally upregulated CCNE1 and CCNE2 by directly targeting their promoters. These findings suggest that MNX1 may be an oncogene and a potential prognostic biomarker for bladder cancer [70].

3.1.17. BARX2

The overexpression of BARX2 significantly repressed the viability and invasion of bladder cancer cells. BARX2 expression was upregulated by circSHPRH overexpression and downregulated by miR-942 overexpression. BARX2 partially abrogated the tumorpromoting effects of circSHPRH knockdown on proliferation, migration, and invasion in bladder cancer cells. It was further confirmed that circSHPRH knockdown activated the Wnt/ß-catenin signaling pathway by regulating BARX2. These findings suggest that the circSHPRH/miR-942/BARX2/Wnt/ß-catenin axis might play an important role in bladder cancer progression and potentially serve as a therapeutic target for bladder cancer [71].

3.1.18. NANOG

NANOG was significantly expressed in bladder cancer cell lines and tissues [72]. In bladder cancer tissues, differential expression patterns of stemness and EMT markers were found in NMIBC and MIBC. NANOG and SOX2 expression levels were significantly higher in MIBC as compared to NMIBC. In contrast, E-cadherin expression was significantly lower in MIBC than in NMIBC. These findings indicate that EMT and cancer stemness are enhanced in MIBC. An inverse correlation was found between E-cadherin and NANOG/SOX2 expression in bladder cancer tissues. E-cadherin expression was significantly associated with lower TNM stage and tumor grade. In contrast, NANOG expression significantly associated with higher TNM stage, higher tumor grade, and higher Ki-67 LI. SOX2 expression was significantly correlated with higher TNM stage, higher tumor grade, and higher Ki-67 LI. These findings suggest that bladder cancer progression involves a decrease in E-cadherin and an increase in NANOG/SOX2 protein expression [73].
NANOG and BMI1 protein were highly expressed in the bladder cancer tissues. The overexpression of NANOG and BMI1 were correlated with a high tumor grade [74]. Positive NANOG expression was detected in all the formalin-fixed paraffin-embedded (FFPE) bladder cancer tissues with cytoplasmic, nuclear, and nuclear membrane localizations. The NANOG expression was increased across different tumor stages and grades, and was significantly associated with tumor invasion [75]. The downregulation of NANOG decreased bladder cancer cell migration and invasion as well as MMP2 and MMP9 mRNA levels. These findings suggest that the transcriptional activity of NANOG might be related to bladder cancer cell metastasis in vitro and that it has an influence on MMP2 and MMP9 expression [76].
The overexpression of NANOG remarkably increased the number and size of the spheres in bladder cancer UMUC3 and T24 cells, thus suggesting that NANOG promotes the self-renewal of bladder cancer cells. On the other hand, the overexpression of WDR5 increased the expression of NANOG. These findings suggest that WDR5 promotes bladder cancer cell self-renewal by mediating NANOG [77]. In another study, a significant correlation was found between NANOG and CD44 expression. Bladder cancer patients with a high NANOG and CD44 expression had poorer recurrence-free survival and overall survival rates. A combined NANOG and CD44 expression were identified as independent prognostic biomarkers for recurrence-free survival and overall survival in bladder cancer [78].
Both the mRNA and protein expression of NANOG, BMI1, and OCT4 (embryonic stem cell markers) were higher in cisplatin-resistant T24 cells (DR-T24) than that of parental T24 cells. In addition, the DR-T24 cells had a higher protein expression of CD44 (cancer stem cells marker) as compared to the parental T24 cells. This provides the first evidence for the presence of self-renewing populations of cancer stem cells (CSCs) in the DR-T24 and T24 cells. The CSCs could be enriched from T24 cells by cisplatin selection. These findings suggest that CSCs may be involved in the progression and cisplatin resistance of bladder cancer [74]. In bladder cancer T24 and 5637 cells, significantly higher mRNA and protein expression of NANOG and OCT4 were observed after exposure to the highest concentration of mitomycin C (chemotherapy drug). These findings suggest that chemotherapy sorting might be a feasible method for isolating CSCs in bladder cancer [79]. In NMIBC, the ABCG2hi side population cells had higher NANOG, NOTCH 1, and SOX2 (embryonic stem cell markers) expression levels as well as increased colony forming efficiency when compared to the ABCG2low non-side population cells [80]. Taken together, these findings suggest that NANOG might be useful as a potential biomarker for the diagnosis and prognosis of bladder cancer as well as for the identification of bladder CSCs.

3.1.19. NANOGP8

The mRNA expression of NANOGP8 was detected in bladder cancer tissues. The percentage of NANOGP8-transfected cells at the S phase of cell cycle was higher than that of the control cells. These findings indicate that NANOGP8 promotes cells to enter into the S phase of cell cycle. In addition, NANOGP8 also promotes cell proliferation, in which a significantly increase in cell proliferation was observed in NANOGP8-transfected cells as compared to the control cells. These findings suggest that NANOGP8 may play an important role in bladder tumorigenesis [81].

3.1.20. NKX2-8

Both the mRNA and protein expression of NKX2-8 were markedly reduced in bladder cancer tissues when compared to normal bladder tissues. Moreover, patients with negative NKX2-8 expression had a higher tumor recurrence risk as compared to those with positive NKX2-8 expression. The overexpression of NKX2-8 in bladder cancer T24 cells significantly inhibited cell proliferation in vitro and in vivo, whereas the silencing of Nkx2-8 in bladder cancer 5637 cells dramatically enhanced cell proliferation. The silencing of NKX2-8 also resulted in an acceleration of the G1/S transition, downregulation of p27kip1, upregulation of cyclin D1 and p-FOXO3a, and an increase in MEK/ERK pathway activity. Meanwhile, the overexpression of NKX2-8 yielded the opposite effect. These findings indicate that NKX2-8 regulates cyclin D1 and p27kip1 through the MEK/ERK pathway in bladder cancer cells. Nkx2-8 potentially acts as a tumor suppressor gene in bladder cancer progression and could be developed as prognostic biomarker of bladder cancer [82].
NKX2-8 inhibited the EMT phenotype in bladder cancer cells. The knockdown of NKX2-8 promoted the invasion and metastatic potential of bladder cancer cells, whereas the overexpression of NKX2-8 inhibited this potential. These findings suggest that NKX2-8 acts as a negative regulator of aggressive metastasis of bladder cancer. In addition, NKX2-8 downregulated TWIST1 expression, whereby NKX2-8 bound to the TWIST1 promoter locus and transcriptionally repressed TWIST1. The upregulation of TWIST1 reversed EMT inhibition by NKX2-8 as well as restored the invasive phenotype of bladder cancer cells. In bladder cancer tissues, NKX2-8 expression was inversely correlated with TWIST1 expression. Bladder cancer patients with tumors that were NKX2-8 positive and low TWIST1 expression had better prognosis as compared to those that were negative NKX2-8 and harbored high TWIST1 expression. These findings suggest that NKX2-8 inhibited EMT in bladder cancer through the transcriptional repression of TWIST1. In addition, the NKX2-8/TWIST1 axis plays a crucial role in bladder cancer EMT and may be a potential therapeutic target for bladder cancer [83].

3.1.21. NKX6-2

Eight genes (NKX6-2, A2BP1, CA10, DBC1, MYO3A, NPTX2, PENK, and SOX11) were significantly highly methylated in the urine sediments of bladder cancer patients as compared to that of control subjects. A 5-gene panel was identified (NKX6-2, CA10, DBC1, MYO3A, and PENK or SOX11) and the panel had an 85% sensitivity and a 95% specificity for the detection of bladder cancer. The detection rates of bladder cancer in NMIBC and MIBC were 81% and 90%, respectively. In addition, the detection rate was 85% in both primary and recurrent bladder cancers [84]. In recurrent and progressed bladder tumors, the frequency of NKX6-2 methylation was higher than that of non-recurrence bladder tumors [59]. Taken together, these findings suggest that NKX6-2 methylation is a potential biomarker for the detection of bladder cancer that if introduced, can potentially reduce the frequency of using cystoscopy for bladder cancer surveillance. In addition, NKX6-2 methylation also potentially predicts the risk of recurrence and the progression of bladder cancer.

3.1.22. TLX1

BCAR4 promoted the cell proliferation, migration, and invasion of bladder cancer. BCAR4 can directly bind to miR-644a and regulate TLX1 expression. The knockdown of BCAR4 or the overexpression of miR-644a significantly decreased the expression of TLX1. On the other hand, the overexpression of TLX1 or the inhibition of miR-644a increased bladder cancer cell migration. This is the first study to show that BCAR4 and miR-644a can regulate the expression of TLX1 and the expression of TLX1 was associated with bladder cancer progression [85].

3.1.23. TLX3

TLX3 was methylated in cisplatin-resistant cells (T24DDP10 and KK47DDP20) and bladder cancer tissues in which TLX3 mRNA expression was not detected. In contrast, TLX3 was unmethylated in cisplatin-sensitive cells (T24 and KK47) and non-malignant bladder tissues in which TLX3 mRNA expression was detected. These findings indicated that TLX3 may be involved in cell proliferation and cisplatin resistance in bladder cancer. The overexpression of the TLX3 protein in T24DDP10 cells increased cell proliferation and restored cisplatin sensitivity. In contrast, the knockdown of TLX3 in T24 cells inhibited cell proliferation and increased cisplatin resistance. These findings suggest that TLX3 expression induced bladder cancer cell proliferation and cisplatin resistance, hence increasing cisplatin toxicity. In contrast, the loss of TLX3 expression resulted in cisplatin resistance in bladder cancer. Bladder cancer patients with TLX3 hypermethylation had higher succinate dehydrogenase (SD) activity (decreased chemosensitivity to cisplatin). Patients with TLX3 unmethylation had lower SD activity (increased chemosensitivity to cisplatin). These findings indicate that TLX3 methylation in bladder cancer is associated with cisplatin resistance. Hence, TLX3 methylation can be utilized as a predictive biomarker for cisplatin resistance in bladder cancer [86].

3.1.24. VAX1

The methylation frequency of eight genes (VAX1, ECEL1, KCNV1, LMX1A, PROX1, SLC6A20, TAL1, and TMEM26) was significantly higher in the urine of bladder cancer patients as compared to that of normal controls. A 5-gene panel (VAX1, CFTR, KCNV1, PROX1, and TAL1) had an 88.7% sensitivity and an 87.3% specificity for the diagnosis of bladder cancer. Moreover, the 5-gene panel had an accuracy of 81.3%, which is comparable to that of cystoscopy. These findings suggest that the 5-gene panel is a promising diagnostic biomarker for the early non-invasive detection and surveillance of bladder cancer. Remarkably, VAX1 and LMX1A methylation were more frequently detected in urine samples from recurrent bladder cancer patients as compared to that of newly diagnosed bladder cancer patients, thus suggesting that the methylation of VAX1 and LMX1A was associated with bladder cancer recurrence. These findings suggest that VAX1 and LMX1A hypermethylation may be useful as a biomarker for predicting bladder cancer recurrence [87].

3.1.25. VAX2

In NMIBC, VAX2 had significantly higher methylation frequency in high-grade tumors as compared to low or intermediate-grade tumors. In addition, the promoter methylation of VAX2 was significantly associated with reduced gene expression. The findings suggest that VAX2 may be a potential therapeutic target for bladder cancer [88].

3.2. The CERS Homeobox Class

 CERS2

The protein expression of CERS2 was detected in bladder cancer tissues across different stages, in which it was detected in 90.5%, 62.5%, and 33.3% of stages I, II, and III tumors, respectively. Bladder cancer patients with negative CERS2 expression had significantly poorer survival as compared to those with positive CERS2 expression. In addition, the differential mRNA expression of CERS2 was detected in freshly frozen bladder cancer tissues, paraneoplastic, and normal bladder tissues. Both the protein and mRNA expression of CERS2 were downregulated in advanced bladder cancer tissues and they were significantly associated with tumor stage, the depth of tumor invasion, and tumor recurrence. The loss of CERS2 expression was strongly associated with progression and invasion of bladder cancer. These findings suggest that CERS2 serves as a tumor metastasis suppressor gene and may serve as a prognostic biomarker for bladder cancer [74]. The potential utility of CERS2 as a predictive biomarker of response to oncolytic virotherapy has also been investigated [89]. Unfortunately, the potential of CERS2 as a predictive biomarker was found to be limited but may have the potential as a therapeutic target for bladder cancer, since the siRNA-mediated downregulation of CERS2 expression resulted in reduced bladder cancer cell migratory potential [90].
CERS2 (also known as LASS2) mRNA expression was significantly different across four bladder cancer cell lines (EJ, EJ-M3, T24, and BIU-87 cells). The invasiveness of EJ, T24, and BIU-87 cells was not significantly different. However, the invasiveness of EJ-M3 cells was significantly different from that of EJ, T24, and BIU-87 cells. Notably, EJ-M3 was the most aggressive among these cell lines. In addition, LASS2 mRNA expression was significantly correlated with diverse cell proliferation, invasion, and metastasis. At the protein level, a lower LASS2 protein expression level was observed in the more aggressive cell line. These findings suggest that LASS2 acts as a metastasis suppressor gene in bladder cancer and potentially serves as a biomarker for the prognosis of bladder cancer [89].
Apart from mRNA expression, LASS2 protein expression was also significantly associated with tumor stage, the depth of tumor invasion, and tumor recurrence. The loss of LASS2 protein expression was strongly associated with the progression and invasion of bladder cancer. Patients with LASS2-negative bladder cancer had significantly poorer survival than those with LASS2-positive bladder cancer. Taken together, these findings support the role of LASS2 as a metastasis suppressor gene in bladder cancer and its potential utility as a prognostic biomarker for bladder cancer [91].
It was reported that LASS2 was a target of miR-20a, whereby miR-20a negatively regulate LASS2 gene at both the mRNA and protein levels. Increasing the miR-20a expression level was closely related to aggressive clinicopathological parameters. Expression of miRNA-20a promotes bladder cancer cell proliferation, invasiveness, and migration by targeting LASS2 [92]. In advanced bladder cancers, the expression of LASS2 was found to be downregulated. The lower expression of LASS2 was associated with a higher tumor stage and poorer survival as compared to tumors with normal expression of LASS2. Thus, LASS2 might be a potential biomarker of bladder cancer progression. In addition, hsa-miR-3622a was found to be negatively correlated with LASS2. The overexpression of miR-3622a promoted bladder cancer cell proliferation and invasion in vitro by downregulating LASS2 [93].
The expression of miR-9 was higher in bladder cancer tissues as compared to normal tissues. It was found that miR-9 increased cell proliferation, invasion, cell cycle progression, and chemoresistance. LASS2 is also a direct target of miR-9 in bladder cancer and the transfection of a miR-9 mimic was found to downregulate the expression of LASS2. These findings indicate that miR-9 upregulation was associated with a malignant phenotype of bladder cancer and promoted cell proliferation and chemoresistance by targeting LASS2 in bladder cancer [94]. Another miRNA expression, miR-98, was higher in bladder cancer tissues and cell lines as compared to adjacent normal tissues and SV-HUC-1 cells. The miR-98 mimic was found to promote cell proliferation, inhibit apoptosis, and increase cisplatin/doxorubicin resistance in bladder cancer T24 cells. Meanwhile, the miR-98 inhibitor inhibited cell proliferation, promoted apoptosis, decreased chemoresistance in bladder cancer BIU-87 cells. In addition, miR-98 could regulate mitochondrial fission/fusion balance and mitochondrial membrane potential. LASS2 is also a direct target of miR-98 in bladder cancer and a negative correlation was found between LASS2 and miR-98 mRNA levels. The overexpression of LASS2 induced mitochondrial fusion and downregulated mitochondrial potential. Meanwhile, LASS2 siRNA abrogated the chemoresistance effects of the miR-98 mimic. These findings demonstrate that miR-98 promotes bladder cancer chemoresistance and regulates mitochondrial function by targeting LASS2 [95].

3.3. The CUT Homeobox Class

3.3.1. CUX1

The PIK3CA is overexpressed in bladder cancer and its expression is regulated by CUX1. PIK3CA promotes bladder cancer cell proliferation, migration, invasion, and angiogenesis in vitro. In addition, PIK3CA also enhances the growth and metastasis of bladder cancer in vivo. The overexpression of CUX1 elevates both the mRNA and protein expression of PIK3CA, whereas the knockdown of CUX1 reduces PIK3CA expression. CUX1 stimulates the transcription activity of PIK3CA in bladder cancer cells via direct interaction with the binding site of the PIK3CA promoter. CUX1 upregulates PIK3CA expression in bladder cancer and this in turn, further activates EMT. These findings indicate that PIK3CA is targeted by CUX1 and the activation of the CUX1/PIK3CA axis activates the EMT pathway, which may contribute to the promotion of invasion and metastasis in bladder cancer [96].

3.3.2. ONECUT2

A combination of five methylation markers (ONECUT2, MEIS1, OSR1, OTX1, and SIM2) resulted in a bladder cancer prediction model, with a sensitivity of 85% and a specificity of 87% [97]. Another combination of three methylation markers (ONECUT2, OTX1, and TWIST1), together with the mutation status of FGFR3, HRAS, and TERT, and patient age were included in another prediction model that had a 97% sensitivity and an 83% specificity. Based on these prediction models, epigenetic profiling using urine samples of patients with hematuria may reduce the need for invasive cystoscopy in the management of low-risk patients [98,99].

3.3.3. SATB1

SATB1 expression was increased significantly in bladder cancer cell lines as compared to normal bladder cell lines. The knockdown of SATB1 in two high-grade bladder cancer cell lines (TCCSUP and 5637) showed opposite functional roles. Compared to the non-silencing control, the SATB1-knockdown TCCSUP cells showed a decrease in cell proliferation and an increase in sensitivity to cisplatin. In contrast, SATB1-knockdown 5637 cells showed an increase in cell proliferation and resistance to cisplatin. The differences in cisplatin resistance and proliferation between the SATB1-knockdown TCCSUP and 5637 cells may be due to differential gene expressions of SATB1 (and other modifying genes) between the cell lines [100].
Both the mRNA and protein expression of SATB1 and ERBB2 were significantly upregulated in bladder cancer tissues when compared to normal bladder tissues. A positive correlation was found between SATB1 and ERBB2. Elevated mRNA and protein levels of both genes were significantly associated with tumor stage and lymph node involvement. These findings suggest that SATB1 and ERBB2 may serve as potential biomarkers for predicting the aggressive behavior and poor prognosis of bladder cancer [101]. In NMIBC tissues, both the mRNA and protein expression of SATB1 was significantly upregulated as compared to that of adjacent normal tissues. The SATB1 expression was remarkably higher in MIBC tissues than in NMIBC tissues. The same trend was observed in which the SATB1 expression level was higher in the metastatic bladder cancer T24 cells than in the non-metastatic bladder cancer BIU-87 cells. These findings suggest that SATB1 expression is associated with aggressive tumor phenotypes. Moreover, a positive correlation was found between SATB1 and EMT markers as well as vimentin. The overexpression of SATB1 in the BIU-87 cells significantly increased cell migration and invasiveness, and also caused changes in the cell morphology; from cobblestone-like morphology (epithelial phenotype) to spindle-like fibroblastic morphology (mesenchymal phenotype), thus indicating an induction of EMT. In contrast, the downregulation of SATB1 yielded the opposite effect. A significant correlation was found between a higher SATB1 expression and shorter survival times. In addition, SATB1 expression was to be a significant and independent prognostic factor for bladder cancer [102].
SATB1 expression was detected in 38.8% of FFPE bladder cancer tissues but was not expressed in normal bladder tissues. Higher SATB1 expression was found in stage T2–T4 tumors when compared to stage T1 tumors, thus suggesting that SATB1 plays an important role in bladder cancer progression. SATB1 was also highly expressed in bladder cancer 5637 and T24 cells but was not expressed in the SV-HUC-1 cells. The downregulation of SATB1 expression decreased cell proliferation and increased cisplatin-induced apoptosis. SATB1 downregulation also decreased both the mRNA and protein expression of cyclin D1 (cell proliferation factor) and cyclin E (cyclin D inhibitor) but increased the expression of cleaved caspase 3 (an apoptosis-related gene). These findings suggest that SATB1 is overexpressed in bladder cancer and SATB1 also regulates cell proliferation and cisplatin-induced apoptosis by modulating cyclin D1, cyclin E, and caspase 3. Therefore, SATB1 may be a therapeutic target for bladder cancer [103].

3.4. The LIM Homeobox Classes

 ISL1 and LHX5

The positive expression of ISL1 and LHX5 was detected in 94% and 98% of FFPE bladder cancer tissues, respectively. The proportion of tumors expressing high ISL1 and LHX5 levels were highest in late-stage and high-grade tumors, respectively. In addition, a significant association was found between LHX5 expression and tumor grade. These findings suggest that ISL1 and LHX5 play an important role in bladder tumorigenesis [104].

3.5. The POU Homeobox Class

 POU5F1

The expression of POU5F1 was detected in bladder cancer tissues and cell lines (J82, T24, TCCSUP, and TSGH-8301) but was not detected in normal bladder tissues and SV-HUC-1 cell line [105,106]. These findings were in agreement with those studies that reported that positive POU5F1 protein expression was detected in 68%–81.6% of bladder cancer tissues. In contrast, normal bladder tissues showed negative POU5F1 expression [107,108]. Taken together, the presence of POU5F1 expression in bladder cancer tissues and cell lines suggests that POU5F1 promotes bladder tumorigenesis [105,106,107,108]. In addition, POU5F1 positive expression was associated with high-grade (grades 2 and 3) tumors when compared to low-grade (grade 1) tumors, and was also significantly associated with higher recurrence incidence [107]. Intense POU5F1 expression was associated with disease progression, greater metastasis, and shorter cancer-related survival as compared to tumors with low or moderate POU5F1 expression [105]. These findings suggest that POU5F1 may play a role in the development of high-grade tumors and in the recurrence in bladder cancer. Hence, POU5F1 could be useful as a diagnostic biomarker as well as a prognosis biomarker for the prediction of recurrence risk and the survival of bladder cancer patients [105,107,109,110].
More rapid cell migration was observed in both human TCCSUP/POU5F1 cells and murine MBT-2/POU5F1 cells when compared to control cells. In addition, the overexpression of POU5F1 in TCCSUP/POU5F1 cells and MBT-2/POU5F1 cells exhibited greatly enhanced cell migration and invasion. In contrast, POU5F1 knockdown reduced cell migration and invasion in both cells. These findings suggest that POU5F1 is involved in bladder cancer cell migration and invasion in vitro. In animal models, mice inoculated with MBT-2/POU5F1 cells had a higher frequency of tumor nodules, more lung tumor lesions, and a greater number of visible metastatic pulmonary nodules as compared to those inoculated with control cells. The overexpression of POU5F1 increased FGF-4, MMP2, and MMP13 expression that cell displayed a metastatic phenotype. In contrast, the knockdown of POU5F1 yielded the opposite effect. These findings suggest that POU5F1 overexpression in bladder cancer upregulates FGF-4, MMP2, and MMP13 expression, hence promoting metastasis of bladder cancer in vivo. In a syngeneic murine tumor model, mice bearing MBT-2 tumors treated with an oncolytic adenovirus, Ad5WS4 (E1B-55 kD-deleted adenovirus driven by the POU5F1 promoter), significantly suppressed tumor growth and prolonged survival as compared to the control group [105].
The majority of the FFPE bladder cancer tissues showed positive OCT4 (also known as POU5F1) expression with a variety of intensities, thus indicating that OCT4 is heterogeneously expressed in bladder cancer cells. The OCT4 protein was mainly localized in the nucleus of bladder cancer cells, with a low to moderate cytoplasmic localization. The low expression of OCT4 was found in 72% of cases, whereas the high expression of OCT4 was found in 28% of cases. A highly significant correlation was found between OCT4 expression intensity and tumor stage. In addition, a significant correlation was also found between OCT4 expression intensity and lamina propria/muscularis propria invasion. Taken together, OCT4 expression was associated with advanced tumor stage, the involvement of the lamina propria and muscularis propria invasion. These findings suggest that the expression of OCT4 promotes bladder tumor progression and aggressive bladder cancer cell phenotype. Hence, OCT4 can be a potential prognostic biomarker and therapeutic target for bladder cancer [111].
The expression of embryonic stem cell markers (OCT4 and NANOG) was significantly higher in bladder cancer T24 and 5637 cells as compared to the controls after exposure to the highest concentration of mitomycin C, thus indicating that OCT4 and NANOG expression were higher in drug-resistant cells. These findings suggest that chemotherapy sorting might be a feasible method for identifying CSCs in bladder cancer [79].
The mRNA expression level of OCT4 were significantly higher in bladder cancer tissues as compared to normal bladder tissues. Patients with OCT4 high-expressing tumors had significantly shorter recurrence-free interval than those with OCT4 low-expressing tumors. The expression level of OCT4 were significantly higher in recurrent tumors than those in primary tumors. In addition, OCT4 expression was dramatically increased in bladder cancer TCCSUP cells treated with anticancer drugs (i.e., cisplatin, doxorubicin, and 5-fluorouracil). The knockdown of OCT4 expression increased the drug sensitivity of bladder cancer cells, whereas the overexpression of OCT4 expression yielded the opposite effect. On the other hand, CD44 was colocalized with OCT4, thus suggesting that the concurrent upregulation of CD44 and OCT4 during cisplatin treatment. CD44-positive bladder cancer cells that expressed OCT4 were dramatically increased in bladder cancer cell lines after cisplatin treatment. Furthermore, the colocalization of CD44 with OCT4 was detectable in human bladder tumor xenografts that were resistant to cisplatin treatment. These findings demonstrate that CD44-positive bladder cancer cells expressing OCT4 are induced by cisplatin, which may contribute to drug resistance. Taken together, the overexpression of OCT4 in bladder cancer confers resistance against cisplatin in vitro and in vivo, thus suggesting that the mechanism underlying acquired drug resistance may involve OCT4 overexpression [112].
The protein expression level of OCT4 was found to be positively correlated with KPNA2 expression level in bladder cancer tissues. Upregulated OCT4 and KPNA2 expression positively correlated with tumor stage and pathological types. The high protein expression of OCT4 and KPNA2 were independent prognostic predictors of bladder cancer. Both OCT4 and KPNA2 were also found to be upregulated in bladder cancer J82 and T24 cells. The mRNA expression level of OCT4 was downregulated when KPNA2 was silenced. The silencing of OCT4 and KPNA2 decreased bladder cancer cell proliferation and migration while increasing apoptosis. These findings demonstrate that both OCT4 and KPNA2 promotes cell proliferation and migration as well as inhibit apoptosis in vitro. In addition, the knockdown of KPNA2 inhibits the nuclear translocation of OCT4, thus suggesting that the process of OCT4 nuclear transportation in bladder cancer was regulated by KPNA2 [113].

3.6. The PRD Homeobox Class

3.6.1. ALX4

ALX4 was methylated in 25% of the urine sediments of bladder cancer patients, whereas no methylation of ALX4 was observed in non-malignant urinary lesions. Methylation profiling of an 11-gene panel (ALX4, ABCC6, BRCA1, CDH13, CFTR, HPR1, MINT1, MT1A, RASSF1A, RPRM, and SALL3) had a 91.7% sensitivity and an 87% specificity for the detection of bladder cancer. Based on the methylation profiles of the 11-gene panel, >75% of stage 0a and 88% of stage 1 tumors were detected. The methylation profiling of the 11-gene panel may contribute to the development of diagnostic biomarkers for the early detection of bladder cancer [114].

3.6.2. DUXAP10

The expression of DUXAP10 in bladder cancer cell lines (5637, EJ, RT4, T24, TCCSUP, and UMUC3) was significantly higher as compared to that of SV-HUC-1 cell line, thus suggesting that DUXAP10 is overexpressed in bladder cancer. The knockdown of DUXAP10 was found to inhibit bladder cancer cell proliferation, induce cell cycle arrest at the G0/G1 phase, and promote apoptosis. These findings indicate that DUXAP10 accelerates proliferation by promoting the G0/G1 to S phase transition and suppressing apoptosis in bladder cancer cells. In addition, the knockdown of DUXAP10 also inhibited the PI3K/Akt/mTOR signaling pathway in bladder cancer cells. These findings suggest that DUXAP10 inhibited bladder cancer cell proliferation and induced apoptosis through the PI3K/Akt/mTOR signaling pathway. Taken together, DUXAP10 plays an important role in bladder cancer and the inhibition of DUXAP10 is a potential therapeutic target for bladder cancer [115].

3.6.3. OTX1

OTX1 was overexpressed in bladder cancer tissues and cell lines, which was significantly associated with a poor prognosis of bladder cancer. OTX1 silencing significantly reduced cell viability and inhibited cell proliferation in bladder cancer. In contrast, the overexpression of OTX1 yielded the opposite effect. In addition, OTX1 silencing induced cell cycle arrest in the G0/G1 phase and inhibited tumor growth in vivo. Taken together, these findings suggest that OTX1 promotes cell proliferation and cell cycle progression in vitro as well as tumor growth in vivo. Hence, OTX1 may promote bladder cancer progression and might be a potential prognostic biomarker for bladder cancer [116].

3.6.4. PAX2

PAX2 expression has been frequently detected in various human cancers, including brain, breast, colon, lung, and ovarian cancers. Moderate mRNA expression and the detectable protein expression of PAX2 were observed in bladder cancer EJ cells. The knockdown of PAX2 inhibited and induced apoptosis in the EJ cells as compared to the control cells, thus suggesting that PAX2 is essential for the proliferation and survival of bladder cancer cells [117].

3.6.5. PAX5

PAX5 protein expression is not frequently detected in bladder cancer. Nuclear PAX5 protein was only detected in 0.2–10% of bladder cancer cases, thus suggesting that PAX5 may only play a minor functional role in bladder cancer [118,119]. However, PAX5 mRNA expression has been detected in 79% of bladder cancer tissues and cell lines (RT112, HT-1376 and MGH-U1) [120,121,122]. A significantly higher PAX5 mRNA expression was detected in pT2 and pT3 tumors when compared to pT1 tumors [89]. PAX5 mRNA expression was detected in 83.3% of bladder cancer patients, whereas negative PAX5 expression was detected in the control group [122]. Patients with a high PAX5 expression had lower 3-year recurrence-free survival rate and 3-year progression-free survival rate as compared to those with negative PAX5 expression [121]. These findings suggest that PAX5 may in fact play a role in bladder cancer and potentially serve as a diagnostic biomarker for bladder cancer [120,121,122].
PAX5 was significantly increased in cisplatin-resistant bladder cancer tissues and cell lines. The knockdown of PAX5 improved cisplatin sensitivity of bladder cancer cells, whereas the overexpression of PAX5 increased cisplatin resistance. PTGS2 is the direct downstream transcriptional target of PAX5. These findings suggest that the dysregulation of the PAX5/PTGS2 cascade plays a crucial role in the induction of cisplatin resistance in bladder cancer. Hence, gene silencing approaches targeting this pathway may provide a therapeutic strategy for overcoming cisplatin resistance in bladder cancer [123].

3.6.6. PAX6

The methylation rate of the PAX6 promoter was found to be significantly higher in bladder cancer tissues as compared to adjacent normal tissues. Interestingly, the methylation rate of the PAX6 promoter was higher in the adjacent normal tissues from patients with pTa tumors as compared to those with pT1 tumors. The PAX6 methylation level in non-malignant tissues was associated with tumor stages, thus suggesting that a putative field cancerization effect in the normal adjacent bladder mucosa. Hence, PAX6 methylation has diagnostic implications for bladder cancer [124].
In high-grade pT1 tumors, the methylation profile of PAX6, ATM, CHTR, and RB1 independently predicted the recurrence of bladder cancer. In addition, the methylation of PAX6, ESR1, MGMT, PTEN, RB1, and TP73 had a 100% positive predictive value for progression. The methylation of PAX6 had a 100% positive predictive value for progression and disease-specific survival. These findings suggest that methylation profiling of PAX6 is a potential prognostic biomarker for identifying bladder cancer patients with a higher recurrence risk [125]. The hypermethylation of PAX6 was found in T1G3 tumors, whereas no hypermethylation was found in the normal bladder tissues. T1G3 bladder cancer patients who treated with Bacillus Calmette–Guerin (BCG) immunotherapy had a higher recurrence rate when the tumors harbored PAX6 methylation as compared to those that were unmethylated. Taken together, PAX6 methylation status is able to distinguish bladder cancer patients who are most likely to have a high risk of recurrence [126].

3.6.7. PAX8

Nested urothelial carcinoma is a rare histological variant of bladder cancer. A significant proportion of nested urothelial carcinoma cases express PAX8. The PAX8 immunoreactivity was strong in 30% and moderate in 26% of the cases. These findings suggest that positive PAX8 expression may be useful in avoiding the misdiagnosis of nested urothelial carcinoma as nephrogenic adenoma, particularly in cases with limited sampling [127]. In addition, positive PAX8 expression was detected in 52% and 67% of primary and metastatic nested urothelial carcinoma, respectively [128].
Nuclear PAX8 expression was detected in 93% of non-invasive urothelial tumors, including papillary urothelial neoplasm of low malignant potential (PUNLMP), non-invasive low-grade papillary urothelial carcinoma (NILGC), and non-invasive high-grade papillary urothelial carcinoma (NIHGC). In contrast, all the normal bladder tissues examined showed negative PAX8 expression. These findings suggest that PAX8 may play a role in the neoplastic transformation of bladder cancer cells [129].

3.6.8. PRRX1

Weighted gene co-expression network analysis (WGCNA), protein–protein interaction (PPI), the Gene Expression Omnibus (GEO) database, and survival analysis identified five hub genes related to prognosis, including PRRX1, ACTA2, COL5A1, DCN, and LUM. In addition, the expression of the five hub genes was closely related to tumor invasion, whereby it was statistically significant different in T2-T4 tumors. Thus, the expression of the five hub genes can be potentially used as biomarkers and for the targeted therapy of MIBC [130].
A total of 14 DEGs were found to be associated with the overall survival of bladder cancer. Of these, 10 immune-associated DEGs were demonstrated to be predictive of the prognosis in bladder cancer. Five genes (PRRX1, BTBD16, OLFML2B, SPINK4, and SPON2) have not been previously reported to be associated with the prognosis of bladder cancer. These findings suggest that the 10 genes that were closely related to prognosis probability may have potential as prognostic biomarkers for bladder cancer [131].

3.7. The PROS Homeobox Class

 PROX1

The lncRNA LNMAT2 was found to upregulate PROX1 expression by increasing H3K4 trimethylation level of the PROX1 promoter. PROX1 promotor hypermethylation was also found to be associated with lymphatic metastasis in bladder cancer [132].

3.8. The SINE Homeobox Class

 SIX4

SIX4 is a direct target of miR-203a in bladder cancer. The mRNA expression level of SIX4 is negatively corrected with that of miR-203a. The miR-203a was found to be significantly inhibit bladder cancer cell proliferation, migration, and invasion. Nevertheless, miR-203a overexpression induce apoptosis and G2/M phase cell cycle arrest. The miRNA was found to suppress EMT progression and the PI3K/Akt signaling pathway in vitro. The downregulation of SIX4 in bladder cancer cells inhibit cell migration and invasion, and induce G2/M phase cell cycle arrest and apoptosis. Meanwhile, the overexpression of SIX4 diminished the effects of miR-203a on bladder cancer cells in vitro. These findings suggest that miR-203a acts as a tumor suppressor in bladder cancer by inhibiting the potentially oncogenic SIX4. The expression ratios of miR-203a/SIX4 may be a useful as a prognostic biomarker for bladder cancer [133].

3.9. The TALE Homeobox Class

 TGIF1

Higher cell migration, reactive oxygen species (ROS) production, TGIF1 and p67phox expression, and AKTs473 phosphorylation were detected in invasive bladder cancer T24 cells as compared to the non-invasive bladder cancer RT4 cells. The knockdown of TGIF1 in the T24 cells significantly reduced cell migration and invasion, ROS production, and Nox2 and p67phox expression. Meanwhile, the overexpression of TGIF1 in the RT4 cells yielded the opposite effect. Hence, TGIF1 was found to promote bladder cancer cell migration and invasion, induced the production of ROS, and regulated Nox2 and p67phox expression. The PI3K/AKT pathway is involved in the production of TGIF1-induced ROS, while the activation of TGIF1-induced Nox2/p67phox is associated with cell migration and invasion [134]. The overexpression of TGIF1 was also found to enhance cell migration, activate p-AKT (Ser473), and reduce cellular sensitivity to gemcitabine. Meanwhile, the knockdown of TGIF1 yielded the opposite effect. These findings suggest that TGIF1 contributes to gemcitabine resistance of bladder cancer via AKT activation [135].

3.10. The ZF Homeobox Class

3.10.1. ADNP

Both the mRNA and protein expression of ADNP were significantly higher in patients with progressive bladder cancer as compared to those with non-progressive bladder cancer. All the patients underwent TURBT and treated with intravesical chemotherapy. Thus, these findings suggest that ADNP overexpression was associated with bladder cancer progression in patients treated with intravesical chemotherapy. Bladder cancer patients with a high ADNP expression had significantly shorter tumor-free survival after chemotherapy. ADNP was a prognostic risk factor for bladder cancer progression after intravesical chemotherapy treatment. These findings support that the upregulation of ADNP in bladder cancer tissues was associated with poor prognosis in intravesical chemotherapy-treated patients. The knockdown of ADNP in bladder cancer cell lines significantly reduced cell proliferation and migration, which in turn, increased cisplatin resistance. Moreover, ADNP was found to be associated with cisplatin resistance in bladder cancer in vivo. In contrast, the upregulation of ADNP yield the opposite effect. These findings suggest that ADNP accelerates cell migration, promotes EMT, and increases cisplatin resistance in bladder cancer. In addition, ADNP also activates the TGF-ß/Smad signaling pathway [136].
ADNP is highly expressed in bladder cancer, wherein the mRNA and protein expression of ADNP was significantly upregulated in bladder cancer tissues as compared to normal bladder tissues. In addition, ADNP protein expression was higher in MIBC and high-grade tumors than in NMIBC and low-grade tumors. Patients with high ADNP expression had lower overall survival rates than that of patients with low ADNP expression. High ADNP protein expression was significantly associated with poor prognosis of bladder cancer and an increased risk of mortality. The knockdown of ADNP markedly reduced bladder cancer cell proliferation in vitro, the growth of bladder cancer in vivo, and G1/S phase transition of the cell cycle. In contrast, the overexpression of ADNP yielded the opposite effect. These findings suggest that ADNP increased bladder cancer cell proliferation by accelerating the G1/S phase transition of the cell cycle. Hence, ADNP might play a key role in bladder tumorigenesis. At a molecular level, ADNP was found to activate the AKT/MDM2/p53 signaling pathway, thus promoting bladder cancer cell proliferation. Taken together, ADNP is overexpressed in bladder cancer and may act as an oncogene in bladder tumorigenesis [137]. Hence, ADNP may be a novel molecular target for predicting prognosis in bladder cancer as well as adjuvant therapeutic for bladder cancer patients receiving intravesical chemotherapy.

3.10.2. ZEB1

ZEB1 mRNA expression was significantly higher in bladder cancer tissues than in adjacent normal tissues. ZEB1 overexpression was associated with greater tumor size. These findings suggest that ZEB1 plays a role in bladder cancer and may potentially be a biomarker for the early detection and progression of bladder cancer [138]. In a study using publicly available RNA sequencing (RNA-seq) data, high ZEB1 protein expression was related to poor survival in bladder cancer patients. ZEB1 expression was also found to be clinically relevant. ZEB1 knockdown in bladder cancer T24 cells resulted in a significant reduction in cell proliferation when compared to the control cells. These finding suggest that ZEB1 may play an oncogenic role in bladder cancer [139].
Higher ZEB1 expression was found in MIBC and high-grade tumors as compared to NMIBC and low-grade tumors. Both the mRNA and protein expression of ZEB1 were higher in bladder cancer UMUC3 and J82 cells as compared to the SV-HUC-1 cells. The downregulation of ZEB1 inhibited the formation of vasculogenic mimicry, whereas the overexpression of ZEB1 was significantly positively associated with vasculogenic mimicry. These findings suggest that ZEB1 plays an important role in the process of vasculogenic mimicry formation in bladder cancer [140].
Six differentially expressed mRNAs (DEmRNAs) comprising of ZEB1, AIFM3, DUSP2, JUN, MAP1B, and TMEM100 were found to be significantly associated with the overall survival of bladder cancer patients. The six DEmRNAs were identified as independent prognostic factors for overall survival and were associated with the pathogenesis of bladder cancer [141]. In another study, seven ferroptosis-related genes (ZEB1, G6PD, PRDX6, SCD, SLC38A1, SRC, and TFRC) were identified as a prognostic signature for bladder cancer. The prognostic signature had high accuracy in predicting the overall survival of bladder cancer patients [142]. In another study, eight ferroptosis-related genes (ZEB1, ISCU, JDP2, MAFG, NFE2L2, SCD, TXNIP, and VDAC2) were established as a prognostic model. ISCU, NFE2L2, and TXNIP were classified as low-risk genes, while ZEB1, JDP2, MAFG, SCD, and VDAC2 were classified as high-risk genes. These genes may be reliable prognostic biomarkers for bladder cancer [143].
Six invasive bladder cancer cells (J82, KK47, KU7, T24, TCCSUP, and UMUC3) that exhibit mesenchymal morphology were found to have high ILK protein expression, high ZEB1 expression, and low E-cadherin expression. These findings indicate that ZEB1 plays a crucial role in the regulation of E-cadherin expression in bladder cancer. The overexpression of ILK-induced GSK3β resulted in E-cadherin suppression and promoted cell invasion. However, the knockdown of ILK suppressed cell invasion through the regulation of E-cadherin and MMP9. These findings suggest that the ILK–GSK3β–ZEB1 pathway is important in regulating the EMT in bladder cancer through the regulation of E-cadherin and potentially other pathways associated with ILK regulation [144].
Urothelial and adjacent sarcomatoid morphologies of MIBC arise from the same common ancestor and share a basal-like phenotype. When shifting from the urothelial to the sarcomatoid morphology, ZEB1 and TWIST1 expression was found to be increased while the expression of E-cadherin decreased. The divergence between the morphologies at the genome, transcriptome, and proteome levels suggest differential sensitivity to therapies [145]. In another study, a higher mRNA expression of ZEB1, PD-L1, TIMP2, TWIST1, and VIM was detected in NMIBC patients with pT1 tumors as compared to those with pTa tumors. A strong association was found between PD-L1 and TIMP2/TWIST1 as well as between TIMP2 and ZEB1/VIM. High ZEB1, PD-L1, TIMP2, TWIST1, and VIM expression represents a specific gene signature in blood-circulating tumor cells from NMIBC patients. In addition, a significant correlation was found between high ZEB1, PD-L1, TIMP2, and TWIST1 expression, and a reduced recurrence-free survival. These findings demonstrate that NMIBC patients with high ZEB1, PD-L1, TIMP2, and TWIST1 expression tend to have a worse prognosis. Therefore, it is necessary to consider these patients as candidates for systemic therapy approaches with immune checkpoint inhibitors [146].
The upregulation of cytokeratin 18 and cytokeratin 19 (epithelial markers) and the downregulation of vimentin, N-cadherin, MMP2, and ZEB1 (mesenchymal markers) were observed in the bone metastatic T24-B bladder cancer cells. In addition, the T24-B cells also displayed increased adhesion but decreased cell invasion or migration abilities. This suggests that the T24-B cells was able to reacquire their epithelial phenotypes after metastasizing to the bone. The PI3K/Akt pathway targets GSK3β/β–catenin to regulate ZEB1 transcription and subsequently regulates the expression of cytokeratins, vimentin, and MMP2 for tumor cell adhesion, invasion, and migration. The overexpression of ZEB1 in the T24-B cells abrogates cytokeratin 18 and cytokeratin 19 expression, increases vimentin and MMP2 expression. These findings suggest that ZEB1 plays important roles in bladder cancer cell adhesion, migration, invasion, and distant metastasis, thus suggesting that ZEB1 is a potential prognostic biomarker and therapeutic target for metastatic bladder cancer [147].
The expression of ZEB1 was higher in bladder cancer tissues than in normal bladder tissues. ZEB1 was negatively correlated with the expression of GRHL2. Upregulation of GRHL2 was found to directly inhibit the expression of ZEB1. The overexpression of ZEB1 reduced the mRNA expression level of E-cadherin and promoted the expression levels of vimentin, Snail, and Slug as compared to that of the control group. Taken together, these findings suggest that ZEB1 is the downstream target of GRHL2, whereby GRHL2 inhibits the EMT process by targeting ZEB1 [148].
The expression of ZEB1 and HIF-1α in bladder cancer tissues was significantly higher than in normal bladder tissues. In addition, the expression of ZEB1 and HIF-1α were significantly increased in high-grade, invasive, and metastatic bladder cancer tissues as compared to the low-grade, superficial, and non-metastatic bladder cancer tissues. A significant positive association was found between ZEB1 and HIF-1α protein expression in bladder cancer. The knockdown of HIF-1α significantly increased the expression of ZEB1 and promoted cell migration, invasion, and EMT. These findings suggest that HIF-1α plays an important role in bladder cancer metastasis, and both HIF-1α and ZEB1 may be potential therapeutic targets for inhibiting bladder cancer metastasis [149].
ZEB1 is a direct target of miR-23b. A significant reduction in the protein level of ZEB1 was observed after miR-23b overexpression, thus indicating that post-transcriptional regulation of ZEB1 can be modulated through the targeting of its 3′ UTR. The overexpression of miR-23b resulted in the suppression of ZEB1 in bladder cancer cells. Meanwhile, the knockdown of ZEB1 decreased bladder cancer cell migration and invasion. These findings suggest that miR-23b directly targets ZEB1 in bladder cancer and has diagnostic and prognostic significance [150]. Apart from miR-23b, miR-429 was also found to inhibit bladder cancer cell migration and invasion. In addition, miR-429 was able to reduce ZEB1 expression, restore E-cadherin expression, and downregulate ß-catenin. These findings suggest that miR-429 potentially inhibits EMT by targeting ZEB1 and ß-catenin [151].
Ginkgolide B (an anticancer drug) decreased ZEB1 protein in a dose-dependent manner and resulted in the suppression of bladder cancer cell invasion. However, the overexpression of ZEB1 abolished the ginkgolide-B-induced suppression of bladder cancer cell invasion. The overexpression of miR-223-3p decreased ZEB1 protein production, which resulted in a decrease in bladder cancer cell invasion. In contrast, the depletion of miR-223-3p yielded the opposite effect. These findings suggest that ginkgolide B inhibits bladder cancer cell invasion through the suppression of ZEB1 protein translation via the upregulation of miR-223-3p [152]. A high DDR1 expression in bladder cancer was also found to be correlated with poor prognosis of bladder cancer. The overexpression of DDR1 promotes the cell invasion of bladder cancer in vitro and tumor xenograft growth in vivo, whereas the knockdown of DDR1 yielded the opposite effect. Moreover, DDR1 increased the protein levels of ZEB1 and Slug. These findings suggest that DDR1 enhances bladder cancer cell invasion through the regulation of ZEB1 and Slug expression [153].
In highly metastatic T24-L cells, silibinin inhibited GSK3ß/ß-catenin signaling and ZEB1 expression. On the other hand, ß-catenin regulates CSC properties via ZEB1 in bladder cancer cells. The knockdown of ZEB1 could inhibit the mRNA, protein, and promoter activity of CD44 in the T24-L cells. Silibinin may targets CSC phenotype by inhibiting ZEB1 and its downstream CD44 expression. These findings suggest that silibinin inhibited CD44 expression and CSC properties through ZEB1. Consistent with the in vitro findings, silibinin was shown to suppress ß-catenin/ZEB1 signaling, EMT, and CSC properties in vivo. Taken together, silibinin inhibits ß-catenin/ZEB1 signaling and suppresses bladder cancer metastasis via dual-blocking EMT and stemness [154].
Sulforaphane (SFN), a chemopreventive agent that is abundant in broccoli and broccoli sprouts. SFN was found to inhibit the migration and invasion in bladder cancer T24 cells. The miR-200c inhibitor can reverse the inhibition of ZEB1 and the induction of E-cadherin via SFN. Two transcriptional repressors, which are ZEB1 and Snail—that negatively and transcriptionally regulate E-cadherin expression—were activated, eventually blocking the EMT process. COX-2, MMP2, MMP9, and E-cadherin are involved in the inhibitory effect of SFN against metastasis. In addition, the miR200c/ZEB1 pathway is also involved in the EMT regulation by SFN. Collectively, these findings suggest that SFN suppresses bladder cancer metastasis via the COX-2/MMP2, MMP9/ZEB1, and Snail pathway as well as the miR-200c/ZEB1 pathway [155].
IncRNA ZEB1-AS1 expression was found to be significantly increased in MIBC tissues. In addition, ZEB1-AS1 expression is associated with bladder cancer metastasis. The knockdown of ZEB1-AS1 inhibited the migration and invasion in bladder cancer cells. The tumors formed by the ZEB1-AS1 knockdown of bladder cancer cells grown in nude mice exhibited sharp edges. In contrast, the control tumors exhibited spike-like structures that invaded the surrounding muscle tissues. Taken together, these findings indicate that ZEB1-AS1 regulates bladder cancer cell migration, invasion in vitro, and its metastasis in vivo, thus suggesting that ZEB1-AS1 may be an oncogene in bladder cancer. ZEB1-AS1 regulates bladder cancer metastasis through the upregulation of ZEB1 protein. On the other hand, ZEB1-AS1 increased ZEB1 protein expression by recruiting AUF1 to activate the translation of ZEB1 mRNA. The elucidation of the role of ZEB1-AS1 in the progression of bladder cancer will improve the understanding of lncRNA-induced tumorigenesis and metastasis in bladder cancer [156].

3.10.3. ZEB2

ZEB2 expression was significantly higher but miR-138 was significantly lower in bladder cancer tissues when compared to normal bladder tissues. There was a strong inverse correlation found between ZEB2 and miR-138. ZEB2 is a target of miR-138, wherein miR-138 targets the 3′ UTR of the ZEB2 mRNA, thus leading to the inhibition of its protein translation. The overexpression of miR-138 significantly increased E-cadherin and decreased ZEB2 protein and vimentin. In contrast, the depletion of miR-138 significantly decreased E-cadherin and increased ZEB2 protein and vimentin. Moreover, the overexpression of miR-138 decreased migration and invasion, while the depletion of miR-138 yielded the opposite effect. The suppression of ZEB2 abolished the effects of miR-138 on E-cadherin, vimentin, cell migration, and invasion. These findings suggest that miR-138 inhibits bladder cancer cell migration and invasion through ZEB2 suppression. The miR-138/ZEB2 regulatory axis may play an important role in the regulation of bladder cancer cell migration and invasion [157]. In addition, ZEB2 was found to be upregulated in bladder cancer tissues and higher ZEB2 expression was associated with a lower overall survival rate. ZEB2 is also a target of miR-454-3p and miR-374b-5p. Both miR-454-3p and miR-374b-5p are able to inhibit cell migration, invasion, and EMT in bladder cancer by targeting ZEB2 [158].
ZEB2 is also a downstream target of miR-145 that represses ZEB2 protein expression in bladder cancer cells. The expression of TUG1 was found to be upregulated in bladder cancer tissues and cell lines. TUG1 elevated ZEB2 expression by negatively regulating miR-145 expression. TUG1 promoted bladder cancer cell invasion and radiotherapy resistance by inducing EMT [159]. In another study, both the mRNA and protein expression of TUG1 and ZEB2 were significantly increased in bladder cancer tissues as compared to normal bladder tissues. These findings suggest that TUG1 and ZEB2 might play an oncogenic role in bladder cancer. The knockdown of either ZEB2 or TUG1 inhibited cell proliferation and induced apoptosis in bladder cancer. The overexpression of ZEB2 reversed the effects of TUG1 knockdown on cell proliferation and apoptosis. TUG1 binds to miR-142 to regulate ZEB2 expression. The knockdown of TUG1 suppressed the activation of the Wnt/ß-catenin pathway by affecting ZEB2 expression [160].
MiR-377 targets ZEB2 and suppress its expression in bladder cancer cells. CircZFR directly binds to miR-377 as a sponge to promote ZEB2 expression. The knockdown of circZFR inhibits cell proliferation and migration by targeting the miR-377/ZEB2 axis. Taken together, these findings suggest that circZFR promotes bladder cancer progression by regulating miR-377/ZEB2 signaling and circZFR could be a therapeutic marker in bladder cancer [161].
The expression of ZEB2-AS1 was found to be significantly increased in bladder cancer tissues as compared to adjacent normal tissues. The high ZEB2-AS1 expression significantly correlated with tumor size, tumor stage, and lymph node metastasis. The ZEB2-AS1 expression levels in bladder cancer cell lines were significantly higher as compared to that of bladder cancer cells. These findings indicate that ZEB2-AS1 was upregulated in bladder cancer tissues and cell lines. ZEB2-AS1 knockdown repressed the proliferation and induced apoptosis of bladder cancer cells. In contrast, ZEB2-AS1 overexpression markedly increased cell viability and inhibited apoptosis. MiR-27b was downregulated in bladder cancer tissues as compared to adjacent normal tissues. ZEB2-AS1 was significantly negatively correlated with miR-27b expression in bladder cancer tissues, thus indicating an inverse correlation relationship between ZEB2-AS1 and miR-27b. The knockdown of ZEB2-AS1 promoted miR-27b expression in bladder cancer cells, whereas ZEB2-AS1 overexpression dramatically reduced miR-27b expression. MiR-27b knockdown significantly reversed si-ZEB2-AS1-mediated inhibition on bladder cancer cell proliferation and almost eliminated the pro-apoptotic effect of si-ZEB2-AS1 in bladder cancer cells. Taken together, these findings suggest that ZEB2-AS1 promotes bladder cancer tumorigenesis through the downregulation of the tumor-suppressive miR-27b [162].
The protein expression of ZEB1 and ZEB2 were detected in 7.5% and 24% of bladder cancer tissues, respectively. In contrast, neither ZEB1 nor ZEB2 protein expression were detected in the normal bladder tissues. Nuclear ZEB1 expression was detected in 22.8% of NMIBCs and in 21.7% of MIBCs. In addition, ZEB1 protein expression was also found in invasive bladder cancer cell lines (EJ, HU456, J82, KK47, MGHU1, T24, and UMUC3) [163]. The majority of NMIBCs showed no or low nuclear ZEB1 staining, whereas strong nuclear ZEB1 staining was observed in the majority of MIBCs. There were relationships between ZEB1 and ZEB2 expression, prognosis, and clinical outcomes of bladder cancer. ZEB1 staining was significantly increased in higher stage tumors [147]. Bladder cancer patients with ZEB2-immunopositive tumors had a lower 5-year survival and most likely died from the disease as compared to those with ZEB2-immunonegative tumors. The findings suggest that ZEB2 could be a predictor of cancer-specific survival [164].
The forced expression of ZEB1 enhances invasion potential, whereas the knockdown of ZEB1 reduces cell migration and invasion potential, thus suggesting that ZEB1 promotes cell migration and invasion in bladder cancer [163]. On the other hand, ZEB2 strongly decreases UV-induced DNA fragmentation, thus suggesting that ZEB2 protects bladder cancer cells from DNA damage-induced apoptosis. Hence, ZEB2 may contribute to tumor progression by protecting bladder cancer cells from apoptosis. A high mRNA and protein expression levels of ZEB1 and ZEB2 were observed in mesenchymal bladder cancer cells (J82, T24, and UMUC3), whereas low or absent ZEB1 and ZEB2 expression was observed in bladder cancer cells (HT1376, RT4, and RT112). The findings indicate that ZEB1 and ZEB2 are highly expressed in bladder cancer cell lines that exhibit mesenchymal phenotypes, thus indicating their involvement in the EMT of bladder cancer [164]. In another study, NMIBC was found to have higher expression levels of epithelial markers (E-cadherin and p63), while MIBC was found to have higher expression levels of mesenchymal markers (ZEB1, ZEB2, MMP2, MMP9, and vimentin). Interestingly, a subset of MIBCs maintained high expression levels of E-cadherin and p63, thus suggesting that the epithelial phenotype remains present in a subset of MIBCs [165].
The miR-200 family (miR-141, miR-200a, miR-200b, miR-200c, and miR-429) expression was inversely correlated with the expression ZEB1 and ZEB2. The ZEB1 and ZEB2 expression was inversely correlated with the E-cadherin expression. These findings suggest that the miR-200 family members inhibits EMT in bladder cancer cells by targeting the transcriptional repressors of E-cadherin (ZEB1 and ZEB2) [166]. The miR-200 family expression was increased in NMIBC as compared to normal bladder tissues but its expression was found to be reduced in MIBCs as compared to NMIBCs. In MIBCs, both the ZEB1 and ZEB2 expression were reduced and negatively correlated with the miR-200 family expression. These findings indicate that the miR-200 family potentially regulates the EMT in MIBC progression by regulating ZEB1 and ZEB2 expression [167]. The relationship between miR-200 family and ZEB1/ZEB2 was also observed when lncRNA SNHG16 was found to promote EMT by increasing ZEB1 and ZEB2 expression via the targeting of miR-200a-3p. These findings suggest that SNHG16 promotes EMT through the miR-200a-3p/ZEB1/ZEB2 axis [168].
The miR-205 was able to distinguish NILGC from NIHGC, with a sensitivity of 95.8% and a specificity of 96.7%. The miR-145 distinguished NIHGC from infiltrating carcinoma, with a sensitivity of 100% and a specificity of 91.7%. The miR-125b expression was significantly lower in NILGC than in PUNLMP, with a sensitivity of 93.3% and a specificity of 84.2%. The ZEB1 and ZEB2 expression were associated with tumor grade and miRNA expression. ZEB1 immunoreactivity was more frequently detected in NIHGC than in NILGC as well as in infiltrating carcinoma. In contrast, ZEB2 immunoreactivity was more frequent in infiltrating carcinoma than in NIHGC. These findings suggest that ZEB1/ZEB2 expression can be used to distinguish between different grades of papillary urothelial carcinomas. Hence, ZEB1 and ZEB2 may be useful as a complementary diagnostic biomarkers for the grading or classification of bladder cancer [169].
IncRNA ZFAS1 is overexpressed in bladder cancer tissues and cell lines. The knockdown of ZFAS1 showed reduced cell migration and invasion in bladder cancer. In addition, reduced ZFAS1 markedly decreased ZEB1, ZEB2, and vimentin expression levels but increased KLF2, NKD2, and E-Cadherin expression levels. These findings demonstrate that ZFAS1 knockdown potentially inhibits cell migration and invasion by downregulating ZEB1 and ZEB2 expression and inhibits cell proliferation by upregulating KLF2 and NKD2 expression [170].

3.10.4. TSHZ3

The expression levels of TSHZ3, ISL, MEIS1, ZEB2, and ZFHX4 were significantly lower, whereas the expression of HOXC4 was higher in bladder cancer tissues when compared to that of normal bladder tissues. Five out of the six homeobox genes (TSHZ3, ISL1, MEIS1, ZEB2, and ZFHX4) had a strong correlation with most cytokines, while HOXC4 was found to have a strong correlation with IL-17A. In addition, the expression of the six signature genes correlated with most immune checkpoints (CTLA-4, PD-1, PD-L1, and PD-L2). The developed prognostic signature showed good accuracy and consistency in predicting prognosis and response to immunotherapy. Hence, the prognostic signature could be a potential biomarker and therapeutic target for bladder cancer [171].

3.10.5. ZHX3

ZHX3 was found to be highly expressed in bladder cancer tissues and cell lines, thus indicating that ZHX3 is upregulated in bladder cancer. High ZHX3 expression was positively correlated with worse clinical outcomes, such as advanced T stage, N stage, and recurrence. Bladder cancer patients with high ZHX3 expression had poorer disease-free survival and shorter overall survival rates. Thus, ZHX3 is an independent prognostic factor of bladder cancer. The overexpression of ZHX3 in bladder cancer T24 cells significantly increased cell migration and invasion. However, the knockdown of ZHX3 in SV-HUC-1 cells did not affect cell migration and invasion. ZHX3 is a downstream target gene of TRIM21 that regulates the stability of ZHX3 protein by modulating through proteasomal degradation. RNA-seq analysis revealed that when ZHX3 was downregulated, RGS2 was upregulated, whereas, when ZHX3 was upregulated, RGS2 was downregulated. These findings indicate that RGS2 is the downstream target gene of ZHX3 in bladder cancer. The knockdown of RGS2 markedly restored the abilities of migration and invasion in the ZHX3 knockdown bladder cancer cells. These findings support the important regulatory role of the ZHX3/RGS2 axis in mediating metastasis. In bladder cancer tissues, ZHX3 expression negatively correlated with RGS2 expression. Bladder cancer patients with high ZHX3 and low RGS2 expression had the worst prognosis. The knockdown of ZHX3 reduced the expression of RhoA. Moreover, RhoA activity was decreased in ZHX3-knockdown bladder cancer cells but was significantly increased in ZHX3-knockdown bladder cancer cells treated with siRGS2. These findings suggest that ZHX3 acts as an oncogene to promote bladder cancer cell aggressiveness through the RGS2/RhoA pathway. Thus, ZHX3 could be used as a prognostic biomarker for bladder cancer [172].

4. Conclusions

Although there are several commercially available biomarkers for bladder cancer, none of them can completely replace cystoscopy, which is the gold standard for the diagnosis and surveillance of bladder cancer. Therefore, the need for developing new non-invasive biomarkers for bladder cancer remains crucial. New approaches focusing on transcriptomic dysregulation of special interest since the changes in gene expression happen at a molecular rather than cellular levels and have biological and functional significance. Dysregulated homeobox genes are promising biomarkers for the diagnosis, prognosis, and therapy of bladder cancer, as they are directly associated with bladder tumorigenesis and clinically relevant bladder cancer outcomes. This review provides a snapshot summary of the homeobox genes that have been reported to be dysregulated and associated with bladder cancer. This preliminarily screening of the existing literature presents a rich list of homeobox genes for further biomarker evaluation by urologic researchers and clinicians. We tried to simplify the current landscape of homeobox gene dysregulation in bladder cancer in order to enrich the knowledge of researchers and clinicians involved in the development of new non-invasive biomarkers. It is hoped that this will contribute towards the effective clinical translation of homeobox-gene-derived biomarkers; thereby relieving the human and economic costs associated with unoptimized treatment of patients and ultimately, improving the survival of bladder cancer patients through earlier and more accurate detection and novel therapeutic modalities.

Author Contributions

Conceptualization, A.V. and S.-C.C.; methodology, F.-W.C.; writing—original draft preparation, F.-W.C.; writing—review and editing, S.-C.C. and A.V.; visualization, F.-W.C.; funding acquisition, S.-C.C. and A.V. All authors have read and agreed to the published version of the manuscript.

Funding

This review was supported by the Ministry of Higher Education in Malaysia under the Fundamental Research Grant Scheme (FRGS), grant number FRGS/2/2014/SKK01/PERDANA/03/01. F.-W.C. is sponsored by the MyBrain15 scholarship awarded by the Ministry of Higher Education in Malaysia.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data sharing is not applicable to this article.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Gorski, D.H.; Walsh, K. The Role of Homeobox Genes in Vascular Remodeling and Angiogenesis. Circ. Res. 2000, 87, 865–872. [Google Scholar] [CrossRef] [PubMed]
  2. Mark, M.; Rijli, F.M.; Chambon, P. Homeobox Genes in Embryogenesis and Pathogenesis. Pediatr. Res. 1997, 42, 421–429. [Google Scholar] [CrossRef] [PubMed]
  3. McGinnis, W.; Krumlauf, R. Homeobox genes and axial patterning. Cell 1992, 68, 283–302. [Google Scholar] [CrossRef]
  4. Quiring, R.; Walldorf, U.; Kloter, U.; Gehring, W.J. Homology of the eyeless Gene of Drosophila to the Small eye Gene in Mice and Aniridia in Humans. Science 1994, 265, 785–789. [Google Scholar] [CrossRef] [PubMed]
  5. James, J.A.; DavidG, D.G.; Thompson, A.; Lappin, T.R.J. Development and cancer: The HOX gene connection. In The Cancer Handbook, 2nd ed.; Alison, M., Ed.; John Wiley & Sons Ltd: Chichester, UK, 2007; pp. 298–310. [Google Scholar]
  6. Gao, A.C.; Lou, W.; Isaacs, J.T. Enhanced GBX2 expression stimulates growth of human prostate cancer cells via transcriptional up-regulation of the interleukin 6 gene. Clin. Cancer Res. 2000, 6, 493–497. [Google Scholar]
  7. Lu, S.; Liu, R.; Su, M.; Wei, Y.; Yang, S.; He, S.; Wang, X.; Qiang, F.; Chen, C.; Zhao, S.; et al. Overexpression of HOXC8 is Associated With Poor Prognosis in Epithelial Ovarian Cancer. Reprod. Sci. 2016, 23, 944–954. [Google Scholar] [CrossRef]
  8. Chen, Y.; Knösel, T.; Ye, F.; Pacyna-Gengelbach, M.; Deutschmann, N.; Petersen, I. Decreased PITX1 homeobox gene expression in human lung cancer. Lung Cancer 2007, 55, 287–294. [Google Scholar] [CrossRef]
  9. Li, Y.; Yang, X.H.; Fang, S.J.; Qin, C.F.; Sun, R.L.; Liu, Z.Y.; Jiang, B.Y.; Wu, X.; Li, G. HOXA7 stimulates human hepatocellular carcinoma proliferation through cyclin E1/CDK2. Oncol. Rep. 2014, 33, 990–996. [Google Scholar] [CrossRef] [Green Version]
  10. Liu, Y.-J.; Zhu, Y.; Yuan, H.-X.; Zhang, J.-P.; Guo, J.-M.; Lin, Z.-M. Overexpression of HOXC11 homeobox gene in clear cell renal cell carcinoma induces cellular proliferation and is associated with poor prognosis. Tumor Biol. 2014, 36, 2821–2829. [Google Scholar] [CrossRef]
  11. Ji, M.; Feng, Q.; He, G.; Yang, L.; Tang, W.; Lao, X.; Zhu, D.; Lin, Q.; Xu, P.; Wei, Y.; et al. Silencing homeobox C6 inhibits colorectal cancer cell proliferation. Oncotarget 2016, 7, 29216–29227. [Google Scholar] [CrossRef] [Green Version]
  12. Makiyama, K.; Hamada, J.-I.; Takada, M.; Murakawa, K.; Takahashi, Y.; Tada, M.; Tamoto, E.; Shindo, G.; Matsunaga, A.; Teramoto, K.-I.; et al. Aberrant expression of HOX genes in human invasive breast carcinoma. Oncol. Rep. 2005, 13, 673–679. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Hu, H.; Chen, Y.; Cheng, S.; Li, G.; Zhang, Z. Dysregulated expression of homebox gene HOXA13 is correlated with the poor prognosis in bladder cancer. Wien. Klin. Wochenschr. 2016, 129, 391–397. [Google Scholar] [CrossRef]
  14. Marra, L.; Cantile, M.; Scognamiglio, G.; Perdona, S.; La Mantia, E.; Cerrone, M.; Gigantino, V.; Cillo, C.; Caraglia, M.; Pignata, S.; et al. Deregulation of HOX B13 Expression in Urinary Bladder Cancer Progression. Curr. Med. Chem. 2013, 20, 833–839. [Google Scholar] [CrossRef] [PubMed]
  15. Wu, X.; Chen, H.; Parker, B.; Rubin, E.; Zhu, T.; Lee, J.S.; Argani, P.; Sukumar, S. HOXB7, a Homeodomain Protein, Is Overexpressed in Breast Cancer and Confers Epithelial-Mesenchymal Transition. Cancer Res. 2006, 66, 9527–9534. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Samuel, S.; Naora, H. Homeobox gene expression in cancer: Insights from developmental regulation and deregulation. Eur. J. Cancer 2005, 41, 2428–2437. [Google Scholar] [CrossRef]
  17. Shah, N.; Sukumar, S. The Hox genes and their roles in oncogenesis. Nat. Rev. Cancer 2010, 10, 361–371. [Google Scholar] [CrossRef]
  18. Abate-Shen, C. Deregulated homeobox gene expression in cancer: Cause or consequence? Nat. Rev. Cancer 2002, 2, 777–785. [Google Scholar] [CrossRef]
  19. Joo, M.K.; Park, J.-J.; Chun, H.J. Impact of homeobox genes in gastrointestinal cancer. World J. Gastroenterol. 2016, 22, 8247–8256. [Google Scholar] [CrossRef]
  20. Nio, C.Y. Urothelial cell carcinoma in lower urinary tract: Conventional imaging techniques. In Imaging in Oncological Urology; Rosette, J.J.M.C.H., Manyak, M.J., Harisinghani, M.G., Wijkstra, H., Eds.; Springer: London, UK, 2009; pp. 177–184. [Google Scholar]
  21. Hurst, C.; Rosenberg, J.; Knowles, M. SnapShot: Bladder Cancer. Cancer Cell 2018, 34, 350–350.e1. [Google Scholar] [CrossRef]
  22. Tung, M.-C.; Wen, Y.-C.; Wang, S.-S.; Lin, Y.-W.; Chow, J.-M.; Yang, S.-F.; Chien, M.-H. Impact of Long Non-Coding RNA HOTAIR Genetic Variants on the Susceptibility and Clinicopathologic Characteristics of Patients with Urothelial Cell Carcinoma. J. Clin. Med. 2019, 8, 282. [Google Scholar] [CrossRef] [Green Version]
  23. Pstein, J.I.; Amin, M.B.; Reuter, V.R.; Mostofi, F.K. The World Health Organization/International Society of Urological Pathology consensus classification of urothelial (transitional cell) neoplasms of the urinary bladder. Bladder Consensus Conference Committee. Am. J. Surg. Pathol. 1998, 22, 1435–1448. [Google Scholar] [CrossRef] [PubMed]
  24. Fernandez-Gomez, J.; Madero, R.; Solsona, E.; Unda, M.; Martinez-Piñeiro, L.; Gonzalez, M.; Portillo, J.; Ojea, A.; Pertusa, C.; Rodriguez-Molina, J.; et al. Predicting Nonmuscle Invasive Bladder Cancer Recurrence and Progression in Patients Treated With Bacillus Calmette-Guerin: The CUETO Scoring Model. J. Urol. 2009, 182, 2195–2203. [Google Scholar] [CrossRef] [PubMed]
  25. Sylvester, R.J.; van der Meijden, A.P.; Oosterlinck, W.; Witjes, J.A.; Bouffioux, C.; Denis, L.; Newling, D.W.; Kurth, K. Predicting Recurrence and Progression in Individual Patients with Stage Ta T1 Bladder Cancer Using EORTC Risk Tables: A Combined Analysis of 2596 Patients from Seven EORTC Trials. Eur. Urol. 2006, 49, 466–477. [Google Scholar] [CrossRef]
  26. Cheng, T.; Roth, B.; Choi, W.; Black, P.C.; Dinney, C.; McConkey, D.J. Fibroblast Growth Factor Receptors-1 and -3 Play Distinct Roles in the Regulation of Bladder Cancer Growth and Metastasis: Implications for Therapeutic Targeting. PLoS ONE 2013, 8, e57284. [Google Scholar] [CrossRef] [Green Version]
  27. Avritscher, E.B.; Cooksley, C.D.; Grossman, H.B.; Sabichi, A.L.; Hamblin, L.; Dinney, C.P.; Elting, L.S. Clinical model of lifetime cost of treating bladder cancer and associated complications. Urology 2006, 68, 549–553. [Google Scholar] [CrossRef]
  28. Chamie, K.; Saigal, C.S.; Lai, J.; Hanley, J.M.; Setodji, C.M.; Konety, B.R.; Litwin, M.S.; Project, T.U.D.I.A. Compliance with guidelines for patients with bladder cancer: Variation in the delivery of care. Cancer 2011, 117, 5392–5401. [Google Scholar] [CrossRef]
  29. Winn, B.; Tavares, R.; Matoso, A.; Noble, L.; Fanion, J.; Waldman, S.A.; Resnick, M.B. Expression of the intestinal biomarkers Guanylyl cyclase C and CDX2 in poorly differentiated colorectal carcinomas. Hum. Pathol. 2010, 41, 123–128. [Google Scholar] [CrossRef] [Green Version]
  30. Gao, N.; White, P.; Kaestner, K.H. Establishment of Intestinal Identity and Epithelial-Mesenchymal Signaling by Cdx2. Dev. Cell 2009, 16, 588–599. [Google Scholar] [CrossRef] [Green Version]
  31. De Lott, B.L.B.; Morrison, C.; Suster, S.; Cohn, D.E.; Frankel, W.L. CDX2 Is a Useful Marker of Intestinal-Type Differentiation: A Tissue Microarray–Based Study of 629 Tumors From Various Sites. Arch. Pathol. Lab. Med. 2005, 129, 1100–1105. [Google Scholar] [CrossRef] [PubMed]
  32. Kaimaktchiev, V.; Terracciano, L.; Tornillo, L.; Spichtin, H.; Stoios, D.; Bundi, M.; Korcheva, V.; Mirlacher, M.; Loda, M.; Sauter, G.; et al. The homeobox intestinal differentiation factor CDX2 is selectively expressed in gastrointestinal adenocarcinomas. Mod. Pathol. 2004, 17, 1392–1399. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Werling, R.W.; Yaziji, H.; Bacchi, C.E.; Gown, A.M. CDX2, a Highly Sensitive and Specific Marker of Adenocarcinomas of Intestinal Origin: An immunohistochemical survey of 476 primary and metastatic carcinomas. Am. J. Surg. Pathol. 2003, 27, 303–310. [Google Scholar] [CrossRef] [PubMed]
  34. Sung, M.-T.; Zhang, S.; Lopez-Beltran, A.; Montironi, R.; Wang, M.; Davidson, D.D.; O Koch, M.; Cain, M.P.; Rink, R.C.; Cheng, L. Urothelial carcinoma following augmentation cystoplasty: An aggressive variant with distinct clinicopathological characteristics and molecular genetic alterations. Histopathology 2009, 55, 161–173. [Google Scholar] [CrossRef] [PubMed]
  35. Suh, N.; Yang, X.J.; Tretiakova, M.S.; A Humphrey, P.; Wang, H.L. Value of CDX2, villin, and α-methylacyl coenzyme A racemase immunostains in the distinction between primary adenocarcinoma of the bladder and secondary colorectal adenocarcinoma. Mod. Pathol. 2005, 18, 1217–1222. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Sung, M.-T.; Lopez-Beltran, A.; Eble, J.N.; MacLennan, G.T.; Tan, P.-H.; Montironi, R.; Jones, T.D.; Ulbright, T.M.; E Blair, J.; Cheng, L. Divergent pathway of intestinal metaplasia and cystitis glandularis of the urinary bladder. Mod. Pathol. 2006, 19, 1395–1401. [Google Scholar] [CrossRef] [Green Version]
  37. Lopez-Beltran, A.; Jimenez, R.E.; Montironi, R.; Patriarca, C.; Blanca, A.; Menendez, C.L.; Algaba, F.; Cheng, L. Flat urothelial carcinoma in situ of the bladder with glandular differentiation. Hum. Pathol. 2011, 42, 1653–1659. [Google Scholar] [CrossRef]
  38. Gao, J.; Zhang, M.; Li, H.; Zou, D. Ruguo key genes and tumor driving factors identification of bladder cancer based on the RNA-seq profile. OncoTargets Ther. 2016, 9, 2717–2723. [Google Scholar] [CrossRef] [Green Version]
  39. Morgan, R.; Bryan, R.T.; Javed, S.; Launchbury, F.; Zeegers, M.P.; Cheng, K.; James, N.D.; Wallace, D.M.A.; Hurst, C.D.; Ward, D.G.; et al. Expression of Engrailed-2 (EN2) protein in bladder cancer and its potential utility as a urinary diagnostic biomarker. Eur. J. Cancer 2013, 49, 2214–2222. [Google Scholar] [CrossRef] [Green Version]
  40. Li, Y.; Liu, H.; Lai, C.; Su, Z.; Heng, B.; Gao, S. Repression of engrailed 2 inhibits the proliferation and invasion of human bladder cancer in vitro and in vivo. Oncol. Rep. 2015, 33, 2319–2330. [Google Scholar] [CrossRef] [Green Version]
  41. Li, Y.; Duan, Q.; Gan, L.; Li, W.; Yang, J.; Huang, G. microRNA-27b inhibits cell proliferation and invasion in bladder cancer by targeting engrailed-2. Biosci. Rep. 2021, 41, BSR20201000. [Google Scholar] [CrossRef]
  42. Elamin, A.A.; Klunkelfuß, S.; Kämpfer, S.; Oehlmann, W.; Stehr, M.; Smith, C.; Simpson, G.R.; Morgan, R.; Pandha, H.; Singh, M. A Specific Blood Signature Reveals Higher Levels of S100A12: A Potential Bladder Cancer Diagnostic Biomarker Along With Urinary Engrailed-2 Protein Detection. Front. Oncol. 2020, 9, 1484. [Google Scholar] [CrossRef] [Green Version]
  43. De Paoli, M.; Gogalic, S.; Sauer, U.; Preininger, C.; Pandha, H.; Simpson, G.; Horvath, A.; Marquette, C. Multiplatform Biomarker Discovery for Bladder Cancer Recurrence Diagnosis. Dis. Markers 2016, 2016, 4591910. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Gogalic, S.; Sauer, U.; Doppler, S.; Heinzel, A.; Perco, P.; Lukas, A.; Simpson, G.; Pandha, H.; Horvath, A.; Preininger, C. Validation of a protein panel for the noninvasive detection of recurrent non-muscle invasive bladder cancer. Biomarkers 2017, 22, 674–681. [Google Scholar] [CrossRef] [PubMed]
  45. Cho, H.-S.; Toyokawa, G.; Daigo, Y.; Hayami, S.; Masuda, K.; Ikawa, N.; Yamane, Y.; Maejima, K.; Tsunoda, T.; Field, H.I.; et al. The JmjC domain-containing histone demethylase KDM3A is a positive regulator of the G1/S transition in cancer cells via transcriptional regulation of the HOXA1 gene. Int. J. Cancer 2011, 131, E179–E189. [Google Scholar] [CrossRef] [PubMed]
  46. Marsit, C.J.; Houseman, E.A.; Christensen, B.C.; Gagne, L.; Wrensch, M.R.; Nelson, H.H.; Wiemels, J.; Zheng, S.; Wiencke, J.K.; Andrew, A.S.; et al. Identification of Methylated Genes Associated with Aggressive Bladder Cancer. PLoS ONE 2010, 5, e12334. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. Liu, J.; Li, S.; Cheng, X.; Du, P.; Yang, Y.; Jiang, W.G. HOXB2 is a Putative Tumour Promotor in Human Bladder Cancer. Anticancer Res. 2019, 39, 6915–6921. [Google Scholar] [CrossRef] [PubMed]
  48. Luo, J.; Cai, Q.; Wang, W.; Huang, H.; Zeng, H.; He, W.; Deng, W.; Yu, H.; Chan, E.; Ng, C.-F.; et al. A MicroRNA-7 Binding Site Polymorphism in HOXB5 Leads to Differential Gene Expression in Bladder Cancer. PLoS ONE 2012, 7, e40127. [Google Scholar] [CrossRef] [Green Version]
  49. Xu, Z.; Wang, C.; Xiang, X.; Li, J.; Huang, J. Characterization of mRNA Expression and Endogenous RNA Profiles in Bladder Cancer Based on The Cancer Genome Atlas (TCGA) Database. Experiment 2019, 25, 3041–3060. [Google Scholar] [CrossRef]
  50. Cantile, M.; Cindolo, L.; Napodano, G.; Altieri, V.; Cillo, C. Hyperexpression of locus C genes in the HOX network is strongly associated in vivo with human bladder transitional cell carcinomas. Oncogene 2003, 22, 6462–6468. [Google Scholar] [CrossRef] [Green Version]
  51. Yang, J.; Liu, X.; Dai, G.; Qu, L.; Tan, B.; Zhu, B.; Qi, F.; Gai, X.; Cheng, B. CircNT5E promotes the proliferation and migration of bladder cancer via sponging miR-502-5p. J. Cancer 2021, 12, 2430–2439. [Google Scholar] [CrossRef]
  52. Reinert, T.; Modin, C.; Castano, F.M.; Lamy, P.; Wojdacz, T.K.; Hansen, L.L.; Wiuf, C.; Borre, M.; Dyrskjøt, L.; Ørntoft, T.F. Comprehensive Genome Methylation Analysis in Bladder Cancer: Identification and Validation of Novel Methylated Genes and Application of These as Urinary Tumor Markers. Clin. Cancer Res. 2011, 17, 5582–5592. [Google Scholar] [CrossRef] [Green Version]
  53. Reinert, T.; Borre, M.; Christiansen, A.; Hermann, G.G.; Ørntoft, T.F.; Dyrskjøt, L. Diagnosis of Bladder Cancer Recurrence Based on Urinary Levels of EOMES, HOXA9, POU4F2, TWIST1, VIM, and ZNF154 Hypermethylation. PLoS ONE 2012, 7, e46297. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. Zhang, N.; Chen, S.; Wu, L.; Wu, Y.; Jiang, G.; Shao, J.; Chen, L.; Sun, J.; Na, R.; Wang, X.; et al. Identification of Cancer-Specific Methylation of Gene Combination for the Diagnosis of Bladder Cancer. J. Cancer 2019, 10, 6761–6766. [Google Scholar] [CrossRef] [PubMed]
  55. Wu, Y.; Jiang, G.; Zhang, N.; Liu, S.; Lin, X.; Perschon, C.; Zheng, S.; Ding, Q.; Wang, X.; Na, R.; et al. HOXA9, PCDH17, POU4F2, and ONECUT2 as a Urinary Biomarker Combination for the Detection of Bladder Cancer in Chinese Patients with Hematuria. Eur. Urol. Focus 2018, 6, 284–291. [Google Scholar] [CrossRef]
  56. Xylinas, E.; Hassler, M.R.; Zhuang, D.; Krzywinski, M.; Erdem, Z.; Robinson, B.D.; Elemento, O.; Clozel, T.; Shariat, S.F. An Epigenomic Approach to Improving Response to Neoadjuvant Cisplatin Chemotherapy in Bladder Cancer. Biomolecules 2016, 6, 37. [Google Scholar] [CrossRef]
  57. López, J.I.; Angulo, J.C.; Martín, A.; Sánchez-Chapado, M.; González-Corpas, A.; Colás, B.; Ropero, S. A DNA hypermethylation profile reveals new potential biomarkers for the evaluation of prognosis in urothelial bladder cancer. APMIS 2017, 125, 787–796. [Google Scholar] [CrossRef]
  58. Kim, Y.-J.; Yoon, H.-Y.; Kim, J.S.; Kang, H.W.; Min, B.-D.; Kim, S.-K.; Ha, Y.-S.; Kim, I.Y.; Ryu, K.H.; Lee, S.-C.; et al. HOXA9, ISL1 and ALDH1A3 methylation patterns as prognostic markers for nonmuscle invasive bladder cancer: Array-based DNA methylation and expression profiling. Int. J. Cancer 2013, 133, 1135–1142. [Google Scholar] [CrossRef]
  59. Kitchen, M.O.; Bryan, R.T.; Haworth, K.E.; Emes, R.D.; Luscombe, C.; Gommersall, L.; Cheng, K.K.; Zeegers, M.P.; James, N.D.; Devall, A.J.; et al. Methylation of HOXA9 and ISL1 Predicts Patient Outcome in High-Grade Non-Invasive Bladder Cancer. PLoS ONE 2015, 10, e0137003. [Google Scholar] [CrossRef] [Green Version]
  60. Lv, L.; Li, Y.; Deng, H.; Zhang, C.; Pu, Y.; Qian, L.; Xiao, J.; Zhao, W.; Liu, Q.; Zhang, D.; et al. MiR-193a-3p promotes the multi-chemoresistance of bladder cancer by targeting the HOXC9 gene. Cancer Lett. 2015, 357, 105–113. [Google Scholar] [CrossRef]
  61. Liu, C.; Ge, M.; Ma, J.; Zhang, Y.; Zhao, Y.; Cui, T. Homeobox A10 promotes the proliferation and invasion of bladder cancer cells via regulation of matrix metalloproteinase-3. Oncol. Lett. 2019, 18, 49–56. [Google Scholar] [CrossRef] [Green Version]
  62. Cui, Y.-P.; Xie, M.; Pan, W.-X.; Zhang, Z.-Y.; Li, W.-F. HOXA10 promotes the development of bladder cancer through regulating FOSL1. Eur. Rev. Med. Pharmacol. Sci. 2020, 24, 2945–2954. [Google Scholar] [PubMed]
  63. Baffa, R.; Fassan, M.; Volinia, S.; O’Hara, B.; Liu, C.-G.; Palazzo, J.P.; Gardiman, M.; Rugge, M.; Gomella, L.G.; Croce, C.M.; et al. MicroRNA expression profiling of human metastatic cancers identifies cancer gene targets. J. Pathol. 2009, 219, 214–221. [Google Scholar] [CrossRef] [PubMed]
  64. Tian, Y.; Luo, A.; Cai, Y.; Su, Q.; Ding, F.; Chen, H.; Liu, Z. MicroRNA-10b Promotes Migration and Invasion through KLF4 in Human Esophageal Cancer Cell Lines. J. Biol. Chem. 2010, 285, 7986–7994. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  65. Qi, Z.; Yuan, L.; Sun, N. Propofol exhibits a tumor-suppressive effect and regulates cell viability, migration and invasion in bladder carcinoma by targeting the microRNA-10b/HOXD10 signaling pathway. Oncol. Lett. 2019, 18, 6228–6236. [Google Scholar] [CrossRef] [PubMed]
  66. Scott, V.; Morgan, E.A.; Stadler, H.S. Genitourinary Functions of Hoxa13 and Hoxd13. J. Biochem. 2005, 137, 671–676. [Google Scholar] [CrossRef] [PubMed]
  67. Holyoake, A.; O’Sullivan, P.; Pollock, R.; Best, T.; Watanabe, J.; Kajita, Y.; Matsui, Y.; Ito, M.; Nishiyama, H.; Kerr, N.; et al. Development of a Multiplex RNA Urine Test for the Detection and Stratification of Transitional Cell Carcinoma of the Bladder. Clin. Cancer Res. 2008, 14, 742–749. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  68. Guo, B.; Che, T.; Shi, B.; Guo, L.; Yin, Y.; Li, L.; Wang, J.; Yan, D.; Chen, Y. Screening and identification of specific markers for bladder transitional cell carcinoma from urine urothelial cells with suppressive subtractive hybridization and cDNA microarray. Can. Urol. Assoc. J. 2011, 5, e129–e137. [Google Scholar] [CrossRef]
  69. Guo, B.; Che, T.; Shi, B.; Guo, L.; Zhang, Z.; Li, L.; Cai, C.; Chen, Y. Interaction network analysis of differentially expressed genes and screening of cancer marker in the urine of patients with invasive bladder cancer. Int. J. Clin. Exp. Med. 2015, 8, 3619–3628. [Google Scholar]
  70. Chen, M.; Wu, R.; Li, G.; Liu, C.; Tan, L.; Xiao, K.; Ye, Y.; Qin, Z. Motor neuron and pancreas homeobox 1/HLXB9 promotes sustained proliferation in bladder cancer by upregulating CCNE1/2. J. Exp. Clin. Cancer Res. 2018, 37, 154. [Google Scholar] [CrossRef] [Green Version]
  71. Zuo, L.; Zhu, Y.; Han, J.; Liu, H. Circular RNA circSHPRH inhibits the malignant behaviors of bladder cancer by regulating the miR-942/BARX2 pathway. Aging 2022, 14, 1891–1909. [Google Scholar] [CrossRef]
  72. Amini, S.; Fathi, F.; Mobalegi, J.; Sofimajidpour, H.; Ghadimi, T. The expressions of stem cell markers: Oct4, Nanog, Sox2, nucleostemin, Bmi, Zfx, Tcl1, Tbx3, Dppa4, and Esrrb in bladder, colon, and prostate cancer, and certain cancer cell lines. Anat. Cell Biol. 2014, 47, 1–11. [Google Scholar] [CrossRef] [Green Version]
  73. Migita, T.; Ueda, A.; Ohishi, T.; Hatano, M.; Seimiya, H.; Horiguchi, S.-I.; Koga, F.; Shibasaki, F. Epithelial–mesenchymal transition promotes SOX2 and NANOG expression in bladder cancer. Lab. Investig. 2017, 97, 567–576. [Google Scholar] [CrossRef] [Green Version]
  74. Zhang, Y.; Wang, Z.; Yu, J.; Shi, J.Z.; Wang, C.; Fu, W.H.; Chen, Z.W.; Yang, J. Cancer stem-like cells contribute to cisplatin resistance and progression in bladder cancer. Cancer Lett. 2012, 322, 70–77. [Google Scholar] [CrossRef] [PubMed]
  75. A Akhir, M.K.; Hussin, H.; Veerakumarasivam, A.; Choy, C.S.; Abdullah, M.A.; Ghani, F.A. Immunohistochemical expression of NANOG in urothelial carcinoma of the bladder. Malays. J. Pathol. 2017, 39, 227–234. [Google Scholar]
  76. Gawlik-Rzemieniewska, N.; Galilejczyk, A.; Krawczyk, M.; Bednarek, I. Silencing expression of the NANOG gene and changes in migration and metastasis of urinary bladder cancer cells. Arch. Med. Sci. 2016, 12, 889–897. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  77. Chen, X.; Xie, W.; Gu, P.; Cai, Q.; Wang, B.; Xie, Y.; Dong, W.; He, W.; Zhong, G.; Lin, T.; et al. Upregulated WDR5 promotes proliferation, self-renewal and chemoresistance in bladder cancer via mediating H3K4 trimethylation. Sci. Rep. 2015, 5, srep08293. [Google Scholar] [CrossRef] [Green Version]
  78. Siddiqui, Z.; Srivastava, A.; Sankhwar, S.; Dalela, D.; Singh, V.; Zaidi, N.; Fatima, N.; Bano, I.; Anjum, S. Synergic effects of cancer stem cells markers, CD44 and embryonic stem cell transcription factor Nanog, on bladder cancer prognosis. Br. J. Biomed. Sci. 2019, 77, 69–75. [Google Scholar] [CrossRef] [PubMed]
  79. Li, L.; Li, B.; Shao, J.; Wang, X. Chemotherapy sorting can be used to identify cancer stem cell populations. Mol. Biol. Rep. 2012, 39, 9955–9963. [Google Scholar] [CrossRef]
  80. Hepburn, A.C.; Veeratterapillay, R.; Williamson, S.C.; El-Sherif, A.; Sahay, N.; Thomas, H.D.; Mantilla, A.; Pickard, R.S.; Robson, C.N.; Heer, R. Side Population in Human Non-Muscle Invasive Bladder Cancer Enriches for Cancer Stem Cells That Are Maintained by MAPK Signalling. PLoS ONE 2012, 7, e50690. [Google Scholar] [CrossRef]
  81. Zhang, J.; Wang, X.; Li, M.; Han, J.; Chen, B.; Wang, B.; Dai, J. NANOGP8 is a retrogene expressed in cancers. FEBS J. 2006, 273, 1723–1730. [Google Scholar] [CrossRef]
  82. Yu, C.; Zhang, Z.; Liao, W.; Zhao, X.; Liu, L.; Wu, Y.; Liu, Z.; Li, Y.; Zhong, Y.; Chen, K.; et al. The tumor-suppressor gene Nkx2.8 suppresses bladder cancer proliferation through upregulation of FOXO3a and inhibition of the MEK/ERK signaling pathway. Carcinogenesis 2012, 33, 678–686. [Google Scholar] [CrossRef]
  83. Yu, C.; Liu, Z.; Chen, Q.; Li, Y.; Jiang, L.; Zhang, Z.; Zhou, F. Nkx2.8 Inhibits Epithelial–Mesenchymal Transition in Bladder Urothelial Carcinoma via Transcriptional Repression of Twist1. Cancer Res. 2018, 78, 1241–1252. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  84. Chung, W.; Bondaruk, J.; Jelinek, J.; Lotan, Y.; Liang, S.; Czerniak, B.; Issa, J.-P.J. Detection of Bladder Cancer Using Novel DNA Methylation Biomarkers in Urine Sediments. Cancer Epidemiol. Biomark. Prev. 2011, 20, 1483–1491. [Google Scholar] [CrossRef] [Green Version]
  85. Wang, X.; He, H.; Rui, W.; Xie, X.; Wang, D.; Zhu, Y. Long Non-Coding RNA BCAR4 Binds to miR-644a and Targets TLX1 to Promote the Progression of Bladder Cancer. OncoTargets Ther. 2020, 13, 2483–2490. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  86. Tada, Y.; Yokomizo, A.; Shiota, M.; Tsunoda, T.; Plass, C.; Naito, S. Aberrant DNA methylation of T-cell leukemia, homeobox 3 modulates cisplatin sensitivity in bladder cancer. Int. J. Oncol. 2011, 39, 727–733. [Google Scholar] [CrossRef] [PubMed]
  87. Zhao, Y.; Guo, S.; Sun, J.; Huang, Z.; Zhu, T.; Zhang, H.; Gu, J.; He, Y.; Wang, W.; Ma, K.; et al. Methylcap-Seq Reveals Novel DNA Methylation Markers for the Diagnosis and Recurrence Prediction of Bladder Cancer in a Chinese Population. PLoS ONE 2012, 7, e35175. [Google Scholar] [CrossRef]
  88. Kitchen, M.O.; Bryan, R.T.; Emes, R.D.; Glossop, J.R.; Luscombe, C.; Cheng, K.K.; Zeegers, M.P.; James, N.D.; Devall, A.J.; Mein, C.A.; et al. Quantitative genome-wide methylation analysis of high-grade non-muscle invasive bladder cancer. Epigenetics 2016, 11, 237–246. [Google Scholar] [CrossRef] [Green Version]
  89. Zhao, Q.; Wang, H.; Yang, M.; Yang, D.; Zuo, Y.; Wang, J. Expression of a tumor-associated gene, LASS2, in the human bladder carcinoma cell lines BIU-87, T24, EJ and EJ-M3. Exp. Ther. Med. 2013, 5, 942–946. [Google Scholar] [CrossRef]
  90. Aldoghachi, A.; Baharudin, A.; Ahmad, U.; Chan, S.C.; Ong, T.A.; Yunus, R.; Razack, A.H.; Yusoff, K.; Veerakumarasivam, A. Evaluation of CERS2 Gene as a Potential Biomarker for Bladder Cancer. Dis. Markers 2019, 2019, 3875147–3875148. [Google Scholar] [CrossRef]
  91. Wang, H.; Wang, J.; Zuo, Y.; Ding, M.; Yan, R.; Yang, D.; Ke, C. Expression and prognostic significance of a new tumor metastasis suppressor gene LASS2 in human bladder carcinoma. Med. Oncol. 2011, 29, 1921–1927. [Google Scholar] [CrossRef]
  92. Xiao, S.; Chen, Y.; Luan, T.; Huang, Y.; Fu, S.; Zuo, Y.; Wang, H.; Wang, J. MicroRNA-20a Targeting LASS2 Promotes the Proliferation, Invasiveness and Migration of Bladder Cancer. Clin. Lab. 2021, 67, 1789–1798. [Google Scholar] [CrossRef]
  93. Fu, S.; Luan, T.; Jiang, C.; Huang, Y.; Li, N.; Wang, H.; Wang, J. miR-3622a promotes proliferation and invasion of bladder cancer cells by downregulating LASS2. Gene 2019, 701, 23–31. [Google Scholar] [CrossRef]
  94. Wang, H.; Zhang, W.; Zuo, Y.; Ding, M.; Ke, C.; Yan, R.; Zhan, H.; Liu, J.; Wang, J. miR-9 promotes cell proliferation and inhibits apoptosis by targeting LASS2 in bladder cancer. Tumor Biol. 2015, 36, 9631–9640. [Google Scholar] [CrossRef]
  95. Luan, T.; Fu, S.; Huang, L.; Zuo, Y.; Ding, M.; Li, N.; Chen, J.; Wang, H.; Wang, J. MicroRNA-98 promotes drug resistance and regulates mitochondrial dynamics by targeting LASS2 in bladder cancer cells. Exp. Cell Res. 2018, 373, 188–197. [Google Scholar] [CrossRef]
  96. Wang, Z.; Shang, J.; Li, Z.; Li, H.; Zhang, C.; He, K.; Li, S.; Ju, W. PIK3CA Is Regulated by CUX1, Promotes Cell Growth and Metastasis in Bladder Cancer via Activating Epithelial-Mesenchymal Transition. Front. Oncol. 2020, 10, 536072. [Google Scholar] [CrossRef] [PubMed]
  97. Beukers, W.; Kandimalla, R.; van Houwelingen, D.; Kovacic, H.; Chin, J.-F.D.; Lingsma, H.F.; Dyrskjot, L.; Zwarthoff, E.C. The Use of Molecular Analyses in Voided Urine for the Assessment of Patients with Hematuria. PLoS ONE 2013, 8, e77657. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  98. Van Kessel, K.E.; Beukers, W.; Lurkin, I.; Der Made, A.Z.-V.; Van Der Keur, K.A.; Boormans, J.L.; Dyrskjøt, L.; Márquez, M.; Ørntoft, T.F.; Real, F.X.; et al. Validation of a DNA Methylation-Mutation Urine Assay to Select Patients with Hematuria for Cystoscopy. J. Urol. 2017, 197, 590–595. [Google Scholar] [CrossRef] [PubMed]
  99. Van Kessel, K.E.M.; Van Neste, L.; Lurkin, I.; Zwarthoff, E.C.; Van Criekinge, W. Evaluation of an Epigenetic Profile for the Detection of Bladder Cancer in Patients with Hematuria. J. Urol. 2016, 195, 601–607. [Google Scholar] [CrossRef]
  100. Choudhary, D.; Clement, J.M.; Choudhary, S.; Voznesensky, O.; Pilbeam, C.C.; Woolbright, B.L.; Taylor, J.A. SATB1 and bladder cancer: Is there a functional link? Urol. Oncol. Semin. Orig. Investig. 2018, 36, 93.e13–93.e21. [Google Scholar] [CrossRef]
  101. Hussein, S.; Fathi, A.; Abouhashem, N.S.; Amer, S.; Hemeda, M.; Mosaad, H. SATB-1 and Her2 as predictive molecular and immunohistochemical markers for urothelial cell carcinoma of the bladder. Cancer Biomark. 2021, 30, 249–259. [Google Scholar] [CrossRef]
  102. Wan, F.; Cheng, C.; Wang, Z.; Xiao, X.; Zeng, H.; Xing, S.; Chen, X.; Wang, J.; Li, S.; Zhang, Y.; et al. SATB1 Overexpression Regulates the Development and Progression in Bladder Cancer through EMT. PLoS ONE 2015, 10, e0117518. [Google Scholar] [CrossRef]
  103. Han, B.; Luan, L.; Xu, Z.; Wu, B. Expression and biological roles of SATB1 in human bladder cancer. Tumor Biol. 2013, 34, 2943–2949. [Google Scholar] [CrossRef] [PubMed]
  104. Akhir, M.K.A.M.; Choy, C.S.; Abdullah, M.A.; Ghani, F.A.; Veerakumarasivam, A.; Hussin, H. The Role of ISL1 and LHX5 LIM Homeobox Genes in Bladder Tumourigenesis. Malays. J. Med. Sci. 2020, 27, 37–45. [Google Scholar] [CrossRef] [PubMed]
  105. Chang, C.-C.; Shieh, G.-S.; Wu, P.; Lin, C.-C.; Shiau, A.-L.; Wu, C.-L. Oct-3/4 Expression Reflects Tumor Progression and Regulates Motility of Bladder Cancer Cells. Cancer Res. 2008, 68, 6281–6291. [Google Scholar] [CrossRef] [Green Version]
  106. Wu, C.-L.; Shieh, G.-S.; Chang, C.-C.; Yo, Y.-T.; Su, C.-H.; Chang, M.-Y.; Huang, Y.-H.; Wu, P.; Shiau, A.-L. Tumor-Selective Replication of an Oncolytic Adenovirus Carrying Oct-3/4 Response Elements in Murine Metastatic Bladder Cancer Models. Clin. Cancer Res. 2008, 14, 1228–1238. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  107. Huang, P.; Chen, J.; Wang, L.; Na, Y.; Kaku, H.; Ueki, H.; Sasaki, K.; Yamaguchi, K.; Zhang, K.; Saika, T.; et al. Implications of transcriptional factor, OCT-4, in human bladder malignancy and tumor recurrence. Med. Oncol. 2011, 29, 829–834. [Google Scholar] [CrossRef]
  108. Xu, K.; Zhu, Z.; Zeng, F.; Dong, J. Expression and significance of Oct4 in bladder cancer. J. Huazhong Univ. Sci. Technol. 2007, 27, 675–677. [Google Scholar] [CrossRef]
  109. Atlasi, Y.; Mowla, S.J.; Ziaee, S.A.; Bahrami, A.-R. OCT-4, an embryonic stem cell marker, is highly expressed in bladder cancer. Int. J. Cancer 2007, 120, 1598–1602. [Google Scholar] [CrossRef]
  110. Asadzadeh, J.; Asadi, M.H.; Shakhssalim, N.; Rafiee, M.-R.; Kalhor, H.R.; Tavallaei, M.; Mowla, S.J. A plausible anti-apoptotic role of up-regulated OCT4B1 in bladder tumors. Urol. J. 2012, 9, 574–581. [Google Scholar]
  111. Sedaghat, S.; Gheytanchi, E.; Asgari, M.; Roudi, R.; Keymoosi, H.; Madjd, Z. Expression of Cancer Stem Cell Markers OCT4 and CD133 in Transitional Cell Carcinomas. Appl. Immunohistochem. Mol. Morphol. 2017, 25, 196–202. [Google Scholar] [CrossRef]
  112. Lu, C.-S.; Shieh, G.-S.; Wang, C.-T.; Su, B.-H.; Su, Y.-C.; Chen, Y.-C.; Su, W.-C.; Wu, P.; Yang, W.-H.; Shiau, A.-L.; et al. Chemotherapeutics-induced Oct4 expression contributes to drug resistance and tumor recurrence in bladder cancer. Oncotarget 2016, 8, 30844–30858. [Google Scholar] [CrossRef] [Green Version]
  113. Zhou, J.; Dong, D.; Cheng, R.; Wang, Y.; Jiang, S.; Zhu, Y.; Fan, L.; Mao, X.; Gui, Y.; Li, Z.; et al. Aberrant expression of KPNA2 is associated with a poor prognosis and contributes to OCT4 nuclear transportation in bladder cancer. Oncotarget 2016, 7, 72767–72776. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  114. Yu, J.; Zhu, T.; Wang, Z.; Zhang, H.; Qian, Z.; Xu, H.; Gao, B.; Wang, W.; Gu, L.; Meng, J.; et al. A Novel Set of DNA Methylation Markers in Urine Sediments for Sensitive/Specific Detection of Bladder Cancer. Clin. Cancer Res. 2007, 13, 7296–7304. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  115. Lv, X.-Y.; Ma, L.; Chen, J.-F.; Yu, R.; Li, Y.; Yan, Z.; Cheng, Y.; Ma, Q. Knockdown of DUXAP10 inhibits proliferation and promotes apoptosis in bladder cancer cells via PI3K/Akt/mTOR signaling pathway. Int. J. Oncol. 2017, 52, 288–294. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  116. Jiang, L.; Zuo, Z.; Lin, J.; Yang, C. Orthodenticle homeobox OTX1 is a potential prognostic biomarker for bladder cancer. Bioengineered 2021, 12, 6559–6571. [Google Scholar] [CrossRef]
  117. Muratovska, A.; Zhou, C.; He, S.; Goodyer, P.; Eccles, M.R. Paired-Box genes are frequently expressed in cancer and often required for cancer cell survival. Oncogene 2003, 22, 7989–7997. [Google Scholar] [CrossRef] [Green Version]
  118. Mhawech-Fauceglia, P.; Saxena, R.; Zhang, S.; Terracciano, L.; Sauter, G.; Chadhuri, A.; Herrmann, F.R.; Penetrante, R. Pax-5 immunoexpression in various types of benign and malignant tumours: A high-throughput tissue microarray analysis. J. Clin. Pathol. 2007, 60, 709–714. [Google Scholar] [CrossRef] [Green Version]
  119. Denzinger, S.; Burger, M.; Hammerschmied, C.G.; Wieland, W.F.; Hartmann, A.; Obermann, E.C.; Stoehr, R. Pax-5 protein expression in bladder cancer: A preliminary study that shows no correlation to grade, stage or clinical outcome. Pathology 2008, 40, 465–469. [Google Scholar] [CrossRef]
  120. Adshead, J.M.; Ogden, C.W.; Penny, M.; Stuart, E.T.; Kessling, A.M. The expression of PAX5 in human transitional cell carcinoma of the bladder: Relationship with de-differentiation. BJU Int. 2001, 83, 1039–1044. [Google Scholar] [CrossRef]
  121. Babjuk, M.; Soukup, V.; Mareš, J.; Dušková, J.; Pecen, L.; Pešl, M.; Pavlík, I.; DvorŘcek, J. Association of PAX5 expression with clinical outcome in patients with TaT1 transitional cell carcinoma of the bladder. Urology 2006, 67, 756–761. [Google Scholar] [CrossRef]
  122. Babjuk, M.; Soukup, V.; Mareš, J.; Dušková, J.; Sedláček, Z.; Trková, M.; Pecen, L.; Dvořáček, J.; Hanuš, T.; Kočvara, R.; et al. The expression of PAX5, p53 immunohistochemistry and p53 mutation analysis in superficial bladder carcinoma tissue. Correlation with pathological findings and clinical outcome. Int. Urol. Nephrol. 2002, 34, 495–501. [Google Scholar] [CrossRef]
  123. Dong, B.-W.; Zhang, W.-B.; Qi, S.-M.; Yan, C.-Y.; Gao, J. Transactivation of PTGS2 by PAX5 signaling potentiates cisplatin resistance in muscle-invasive bladder cancer cells. Biochem. Biophys. Res. Commun. 2018, 503, 2293–2300. [Google Scholar] [CrossRef] [PubMed]
  124. Hellwinkel, O.J.; Kedia, M.; Isbarn, H.; Budäus, L.; Friedrich, M.G. Methylation of the TPEF- and PAX6-promoters is increased in early bladder cancer and in normal mucosa adjacent to pTa tumours. BJU Int. 2008, 101, 753–757. [Google Scholar] [CrossRef]
  125. Sacristan, R.; Gonzalez, C.; Fernández-Gómez, J.M.; Fresno, F.; Escaf, S.; Sánchez-Carbayo, M. Molecular Classification of Non–Muscle-Invasive Bladder Cancer (pTa Low-Grade, pT1 Low-Grade, and pT1 High-Grade Subgroups) Using Methylation of Tumor-Suppressor Genes. J. Mol. Diagn. 2014, 16, 564–572. [Google Scholar] [CrossRef]
  126. Agundez, M.; Grau, L.; Palou, J.; Algaba, F.; Villavicencio, H.; Sanchez-Carbayo, M. Evaluation of the Methylation Status of Tumour Suppressor Genes for Predicting Bacillus Calmette-Guérin Response in Patients with T1G3 High-Risk Bladder Tumours. Eur. Urol. 2011, 60, 131–140. [Google Scholar] [CrossRef]
  127. Legesse, T.; Matoso, A.; Epstein, J.I. PAX8 positivity in nested variant of urothelial carcinoma: A potential diagnostic pitfall. Hum. Pathol. 2019, 94, 11–15. [Google Scholar] [CrossRef]
  128. Taylor, A.S.; McKenney, J.K.; Osunkoya, A.O.; Chan, M.P.; Al-Ahmadie, H.A.; Spratt, D.E.; Fullen, D.R.; Chinnaiyan, A.M.; Brown, N.A.; Mehra, R. PAX8 expression and TERT promoter mutations in the nested variant of urothelial carcinoma: A clinicopathologic study with immunohistochemical and molecular correlates. Mod. Pathol. 2020, 33, 1165–1171. [Google Scholar] [CrossRef]
  129. Pellizzari, L.; Puppin, C.; Mariuzzi, L.; Saro, F.; Pandolfi, M.; Di Lauro, R.; Beltrami, C.A.; Damante, G. PAX8 expression in human bladder cancer. Oncol. Rep. 2006, 16, 1015–1020. [Google Scholar] [CrossRef] [Green Version]
  130. Li, P.; Cao, J.; Li, J.; Yao, Z.; Han, D.; Ying, L.; Wang, Z.; Tian, J. Identification of prognostic biomarkers associated with stromal cell infiltration in muscle-invasive bladder cancer by bioinformatics analyses. Cancer Med. 2020, 9, 7253–7267. [Google Scholar] [CrossRef] [PubMed]
  131. Zhao, X.; Tang, Y.; Ren, H.; Lei, Y. Identification of Prognosis-Related Genes in Bladder Cancer Microenvironment across TCGA Database. BioMed Res. Int. 2020, 2020, 9143695. [Google Scholar] [CrossRef]
  132. Chen, C.; Luo, Y.; He, W.; Zhao, Y.; Kong, Y.; Liu, H.; Zhong, G.; Li, Y.; Li, J.; Huang, J.; et al. Exosomal long noncoding RNA LNMAT2 promotes lymphatic metastasis in bladder cancer. J. Clin. Investig. 2019, 130, 404–421. [Google Scholar] [CrossRef] [PubMed]
  133. Na, X.Y.; Shang, X.S.; Zhao, Y.; Ren, P.P.; Hu, X.Q. MiR-203a functions as a tumor suppressor in bladder cancer by targeting SIX4. Neoplasma 2019, 66, 211–221. [Google Scholar] [CrossRef]
  134. Huang, H.-S.; Liu, Z.-M.; Chen, P.-C.; Tseng, H.-Y.; Yeh, B.-W. TG-interacting factor-induced superoxide production from NADPH oxidase contributes to the migration/invasion of urothelial carcinoma. Free Radic. Biol. Med. 2012, 53, 769–778. [Google Scholar] [CrossRef] [PubMed]
  135. Yeh, B.-W.; Li, W.-M.; Li, C.-C.; Kang, W.-Y.; Huang, C.-N.; Hour, T.-C.; Liu, Z.-M.; Wu, W.-J.; Huang, H.-S. Histone deacetylase inhibitor trichostatin A resensitizes gemcitabine resistant urothelial carcinoma cells via suppression of TG-interacting factor. Toxicol. Appl. Pharmacol. 2016, 290, 98–106. [Google Scholar] [CrossRef] [PubMed]
  136. Xie, Y.; Zhu, S.; Zang, J.; Wu, G.; Wen, Y.; Liang, Y.; Long, Y.; Guo, W.; Zang, C.; Hu, X.; et al. ADNP prompts the cisplatin-resistance of bladder cancer via TGF-β-mediated epithelial-mesenchymal transition (EMT) pathway. J. Cancer 2021, 12, 5114–5124. [Google Scholar] [CrossRef] [PubMed]
  137. Zhu, S.; Xu, Z.; Zeng, Y.; Long, Y.; Fan, G.; Ding, Q.; Wen, Y.; Cao, J.; Dai, T.; Han, W.; et al. ADNP Upregulation Promotes Bladder Cancer Cell Proliferation via the AKT Pathway. Front. Oncol. 2020, 10, 491129. [Google Scholar] [CrossRef]
  138. Mahdavinezhad, A.; Yadegarazari, R.; Mousavi-Bahar, S.H.; Poorolajal, J.; Jafari, M.; Amirzargar, M.A.; Effatpanah, H.; Saidijam, M. Evaluation of zinc finger E-box binding homeobox 1 and transforming growth factor-beta2 expression in bladder cancer tissue in comparison with healthy adjacent tissue. Investig. Clin. Urol. 2017, 58, 140–145. [Google Scholar] [CrossRef]
  139. Liang, Y.; Ye, F.; Xu, C.; Zou, L.; Hu, Y.; Hu, J.; Jiang, H. A novel survival model based on a ferroptosis-related gene signature for predicting overall survival in bladder cancer. BMC Cancer 2021, 21, 943. [Google Scholar] [CrossRef]
  140. Li, B.; Mao, X.; Wang, H.; Su, G.; Mo, C.; Cao, K.; Qiu, S. Vasculogenic mimicry in bladder cancer and its association with the aberrant expression of ZEB1. Oncol. Lett. 2018, 15, 5193–5200. [Google Scholar] [CrossRef] [Green Version]
  141. Wang, J.; Zhang, C.; Wu, Y.; He, W.; Gou, X. Identification and analysis of long non-coding RNA related miRNA sponge regulatory network in bladder urothelial carcinoma. Cancer Cell Int. 2019, 19, 327. [Google Scholar] [CrossRef]
  142. Sun, J.; Yue, W.; You, J.; Wei, X.; Huang, Y.; Ling, Z.; Hou, J. Identification of a Novel Ferroptosis-Related Gene Prognostic Signature in Bladder Cancer. Front. Oncol. 2021, 11, 730716. [Google Scholar] [CrossRef]
  143. Yi, K.; Liu, J.; Rong, Y.; Wang, C.; Tang, X.; Zhang, X.; Xiong, Y.; Wang, F. Biological Functions and Prognostic Value of Ferroptosis-Related Genes in Bladder Cancer. Front. Mol. Biosci. 2021, 8, 631152. [Google Scholar] [CrossRef] [PubMed]
  144. Matsui, Y.; Assi, K.; Ogawa, O.; Raven, P.A.; Dedhar, S.; Gleave, M.E.; Salh, B.; So, A.I. The importance of integrin-linked kinase in the regulation of bladder cancer invasion. Int. J. Cancer 2011, 130, 521–531. [Google Scholar] [CrossRef] [PubMed]
  145. Genitsch, V.; Kollár, A.; Vandekerkhove, G.; Blarer, J.; Furrer, M.; Annala, M.; Herberts, C.; Pycha, A.; de Jong, J.J.; Liu, Y.; et al. Morphologic and genomic characterization of urothelial to sarcomatoid transition in muscle-invasive bladder cancer. Urol. Oncol. Semin. Orig. Investig. 2019, 37, 826–836. [Google Scholar] [CrossRef]
  146. Morelli, M.B.; Amantini, C.; de Vermandois, J.A.R.; Gubbiotti, M.; Giannantoni, A.; Mearini, E.; Maggi, F.; Nabissi, M.; Marinelli, O.; Santoni, M.; et al. Correlation between High PD-L1 and EMT/Invasive Genes Expression and Reduced Recurrence-Free Survival in Blood-Circulating Tumor Cells from Patients with Non-Muscle-Invasive Bladder Cancer. Cancers 2021, 13, 5989. [Google Scholar] [CrossRef]
  147. Wu, K.; Fan, J.; Zhang, L.; Ning, Z.; Zeng, J.; Zhou, J.; Li, L.; Chen, Y.; Zhang, T.; Wang, X.; et al. PI3K/Akt to GSK3β/β-catenin signaling cascade coordinates cell colonization for bladder cancer bone metastasis through regulating ZEB1 transcription. Cell Signal. 2012, 24, 2273–2282. [Google Scholar] [CrossRef]
  148. Shen, J.; Lv, X.; Zhang, L. GRHL2 Acts as an Anti-Oncogene in Bladder Cancer by Regulating ZEB1 in Epithelial-Mesenchymal Transition (EMT) Process. OncoTargets Ther. 2020, 13, 2511–2522. [Google Scholar] [CrossRef] [Green Version]
  149. Zhu, J.; Huang, Z.; Zhang, M.; Wang, W.; Liang, H.; Zeng, J.; Wu, K.; Wang, X.; Hsieh, J.; Guo, P.; et al. HIF-1α promotes ZEB1 expression and EMT in a human bladder cancer lung metastasis animal model. Oncol. Lett. 2018, 15, 3482–3489. [Google Scholar] [CrossRef]
  150. Majid, S.; Dar, A.A.; Saini, S.; Deng, G.; Chang, I.; Greene, K.; Tanaka, Y.; Dahiya, R.; Yamamura, S. MicroRNA-23b Functions as a Tumor Suppressor by Regulating Zeb1 in Bladder Cancer. PLoS ONE 2013, 8, e67686. [Google Scholar] [CrossRef] [Green Version]
  151. Wu, C.-L.; Ho, J.-Y.; Chou, S.-C.; Yu, D.-S. MiR-429 reverses epithelial-mesenchymal transition by restoring E-cadherin expression in bladder cancer. Oncotarget 2016, 7, 26593–26603. [Google Scholar] [CrossRef]
  152. Zhi, Y.; Pan, J.; Shen, W.; He, P.; Zheng, J.; Zhou, X.; Lu, G.; Chen, Z.; Zhou, Z. Ginkgolide B Inhibits Human Bladder Cancer Cell Migration and Invasion Through MicroRNA-223-3p. Cell Physiol. Biochem. 2016, 39, 1787–1794. [Google Scholar] [CrossRef]
  153. Xie, X.; Rui, W.; He, W.; Shao, Y.; Sun, F.; Zhou, W.; Wu, Y.; Zhu, Y. Discoidin domain receptor 1 activity drives an aggressive phenotype in bladder cancer. Am. J. Transl. Res. 2017, 9, 2500–2507. [Google Scholar]
  154. Wu, K.; Ning, Z.; Zeng, J.; Fan, J.; Zhou, J.; Zhang, T.; Zhang, L.; Chen, Y.; Gao, Y.; Wang, B.; et al. Silibinin inhibits β-catenin/ZEB1 signaling and suppresses bladder cancer metastasis via dual-blocking epithelial–mesenchymal transition and stemness. Cell Signal. 2013, 25, 2625–2633. [Google Scholar] [CrossRef]
  155. Shan, Y.; Zhang, L.; Bao, Y.; Li, B.; He, C.; Gao, M.; Feng, X.; Xu, W.; Zhang, X.; Wang, S. Epithelial-mesenchymal transition, a novel target of sulforaphane via COX-2/MMP2, 9/Snail, ZEB1 and miR-200c/ZEB1 pathways in human bladder cancer cells. J. Nutr. Biochem. 2013, 24, 1062–1069. [Google Scholar] [CrossRef] [PubMed]
  156. Zhao, X.; Wang, D.; Ding, Y.; Zhou, J.; Liu, G.; Ji, Z. lncRNA ZEB1-AS1 promotes migration and metastasis of bladder cancer cells by post-transcriptional activation of ZEB1. Int. J. Mol. Med. 2019, 44, 196–206. [Google Scholar] [CrossRef] [PubMed]
  157. Sun, D.-K.; Wang, J.-M.; Zhang, P.; Wang, Y.-Q. MicroRNA-138 Regulates Metastatic Potential of Bladder Cancer Through ZEB2. Cell Physiol. Biochem. 2015, 37, 2366–2374. [Google Scholar] [CrossRef]
  158. Wang, S.; Zhang, G.; Zheng, W.; Xue, Q.; Wei, D.; Zheng, Y.; Yuan, J. MiR-454-3p and miR-374b-5p suppress migration and invasion of bladder cancer cells through targetting ZEB2. Biosci. Rep. 2018, 38, BSR20181436. [Google Scholar] [CrossRef] [Green Version]
  159. Tan, J.; Qiu, K.; Li, M.; Liang, Y. Double-negative feedback loop between long non-coding RNA TUG1 and miR-145 promotes epithelial to mesenchymal transition and radioresistance in human bladder cancer cells. FEBS Lett. 2015, 589, 3175–3181. [Google Scholar] [CrossRef] [PubMed]
  160. Liu, Q.; Liu, H.; Cheng, H.; Li, Y.; Li, X.; Zhu, C. Downregulation of long noncoding RNA TUG1 inhibits proliferation and induces apoptosis through the TUG1/miR-142/ZEB2 axis in bladder cancer cells. OncoTargets Ther. 2017, 10, 2461–2471. [Google Scholar] [CrossRef] [Green Version]
  161. Zhang, W.-Y.; Liu, Q.-H.; Wang, T.-J.; Zhao, J.; Cheng, X.-H.; Wang, J.-S. CircZFR serves as a prognostic marker to promote bladder cancer progression by regulating miR-377/ZEB2 signaling. Biosci. Rep. 2019, 39, BSR20192779. [Google Scholar] [CrossRef] [PubMed]
  162. Wu, X.; Yan, T.; Wang, Z.; Wu, X.; Cao, G.; Zhang, C. LncRNA ZEB2-AS1 promotes bladder cancer cell proliferation and inhibits apoptosis by regulating miR-27b. Biomed. Pharmacother. 2017, 96, 299–304. [Google Scholar] [CrossRef]
  163. Kenney, P.A.; Wszolek, M.F.; Rieger-Christ, K.M.; Neto, B.S.; Gould, J.J.; Harty, N.J.; Mosquera, J.M.; Zeheb, R.; Loda, M.; Darling, D.S.; et al. Novel ZEB1 expression in bladder tumorigenesis. BJU Int. 2011, 107, 656–663. [Google Scholar] [CrossRef]
  164. Sayan, A.E.; Griffiths, T.R.; Pal, R.; Browne, G.J.; Ruddick, A.; Yagci, T.; Edwards, R.; Mayer, N.J.; Qazi, H.; Goyal, S.; et al. SIP1 protein protects cells from DNA damage-induced apoptosis and has independent prognostic value in bladder cancer. Proc. Natl. Acad. Sci. USA 2009, 106, 14884–14889. [Google Scholar] [CrossRef]
  165. Choi, W.; Shah, J.B.; Tran, M.; Svatek, R.; Marquis, L.; Lee, I.-L.; Yu, D.; Adam, L.; Wen, S.; Shen, Y.; et al. p63 Expression Defines a Lethal Subset of Muscle-Invasive Bladder Cancers. PLoS ONE 2012, 7, e30206. [Google Scholar] [CrossRef] [Green Version]
  166. Adam, L.; Zhong, M.; Choi, W.; Qi, W.; Nicoloso, M.; Arora, A.; Calin, G.; Wang, H.; Siefker-Radtke, A.; McConkey, D.; et al. miR-200 Expression Regulates Epithelial-to-Mesenchymal Transition in Bladder Cancer Cells and Reverses Resistance to Epidermal Growth Factor Receptor Therapy. Clin. Cancer Res. 2009, 15, 5060–5072. [Google Scholar] [CrossRef] [Green Version]
  167. Martínez-Fernández, M.; Dueñas, M.; Feber, A.; Segovia, C.; García-Escudero, R.; Rubio, C.; López-Calderón, F.F.; Díaz-García, C.; Villacampa, F.; Duarte, J.; et al. A Polycomb-mir200 loop regulates clinical outcome in bladder cancer. Oncotarget 2015, 6, 42258–42275. [Google Scholar] [CrossRef] [Green Version]
  168. Chen, W.; Jiang, T.; Mao, H.; Gao, R.; Zhang, H.; He, Y.; Liu, C.; Chen, Q. SNHG16 regulates invasion and migration of bladder cancer through induction of epithelial-to-mesenchymal transition. Hum. Cell 2020, 33, 737–749. [Google Scholar] [CrossRef]
  169. Lee, H.; Jun, S.-Y.; Lee, Y.-S.; Lee, H.J.; Lee, W.S.; Park, C.S. Expression of miRNAs and ZEB1 and ZEB2 correlates with histopathological grade in papillary urothelial tumors of the urinary bladder. Virchows Arch. 2014, 464, 213–220. [Google Scholar] [CrossRef] [PubMed]
  170. Yang, H.; Li, G.; Cheng, B.; Jiang, R. ZFAS1 functions as an oncogenic long non-coding RNA in bladder cancer. Biosci. Rep. 2018, 38, BSR20180475. [Google Scholar] [CrossRef] [Green Version]
  171. Dong, B.; Liang, J.; Li, D.; Song, W.; Song, J.; Zhu, M.; Zhao, S.; Ma, Y.; Yang, T. Identification of a Prognostic Signature Associated With the Homeobox Gene Family for Bladder Cancer. Front. Mol. Biosci. 2021, 8, 688298. [Google Scholar] [CrossRef] [PubMed]
  172. Deng, M.; Wei, W.; Duan, J.; Chen, R.; Wang, N.; He, L.; Peng, Y.; Ma, X.; Wu, Z.; Liu, J.; et al. ZHX3 promotes the progression of urothelial carcinoma of the bladder via repressing of RGS2 and is a novel substrate of TRIM21. Cancer Sci. 2021, 112, 1758–1771. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Homeodomain and specific protein domains of the human homeobox genes reported to be dysregulated in bladder cancer.
Figure 1. Homeodomain and specific protein domains of the human homeobox genes reported to be dysregulated in bladder cancer.
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Figure 2. Dysregulation of homeobox gene expression in bladder cancer is associated with bladder tumorigenesis. Homeobox genes that are upregulated and downregulated in bladder cancer are highlighted in red and green boxes, respectively. The dysregulated expression of homeobox genes led to an increase (+) or a decrease (−) in specific biological activities in bladder cancer.
Figure 2. Dysregulation of homeobox gene expression in bladder cancer is associated with bladder tumorigenesis. Homeobox genes that are upregulated and downregulated in bladder cancer are highlighted in red and green boxes, respectively. The dysregulated expression of homeobox genes led to an increase (+) or a decrease (−) in specific biological activities in bladder cancer.
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Figure 3. Dysregulation of homeobox gene expression in bladder cancer is associated with clinically relevant bladder cancer outcomes. Homeobox genes that are upregulated and downregulated in bladder cancer are highlighted in red and green boxes, respectively. Plus sign (+) indicates an increased risk of tumor recurrence, metastasis, disease progression, drug resistance, and patient survival. Meanwhile, minus sign (−) indicates a decreased risk of tumor recurrence, metastasis, disease progression, drug resistance, and patient survival.
Figure 3. Dysregulation of homeobox gene expression in bladder cancer is associated with clinically relevant bladder cancer outcomes. Homeobox genes that are upregulated and downregulated in bladder cancer are highlighted in red and green boxes, respectively. Plus sign (+) indicates an increased risk of tumor recurrence, metastasis, disease progression, drug resistance, and patient survival. Meanwhile, minus sign (−) indicates a decreased risk of tumor recurrence, metastasis, disease progression, drug resistance, and patient survival.
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Chin, F.-W.; Chan, S.-C.; Veerakumarasivam, A. Homeobox Gene Expression Dysregulation as Potential Diagnostic and Prognostic Biomarkers in Bladder Cancer. Diagnostics 2023, 13, 2641. https://doi.org/10.3390/diagnostics13162641

AMA Style

Chin F-W, Chan S-C, Veerakumarasivam A. Homeobox Gene Expression Dysregulation as Potential Diagnostic and Prognostic Biomarkers in Bladder Cancer. Diagnostics. 2023; 13(16):2641. https://doi.org/10.3390/diagnostics13162641

Chicago/Turabian Style

Chin, Fee-Wai, Soon-Choy Chan, and Abhi Veerakumarasivam. 2023. "Homeobox Gene Expression Dysregulation as Potential Diagnostic and Prognostic Biomarkers in Bladder Cancer" Diagnostics 13, no. 16: 2641. https://doi.org/10.3390/diagnostics13162641

APA Style

Chin, F. -W., Chan, S. -C., & Veerakumarasivam, A. (2023). Homeobox Gene Expression Dysregulation as Potential Diagnostic and Prognostic Biomarkers in Bladder Cancer. Diagnostics, 13(16), 2641. https://doi.org/10.3390/diagnostics13162641

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