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Cancers
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Staging and Pathology of Bladder Cancer
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Staging and Pathology of Bladder Cancer

A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Pathophysiology".

Deadline for manuscript submissions: closed (15 July 2024) | Viewed by 6347

Special Issue Editors

Prof. Dr. Ke-Hung Tsui

E-Mail Website
Guest Editor
1. Department of Urology, Shuang Ho Hospital, New Taipei City, Taiwan
2. TMU Research Center of Urology and Kidney, Department of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
Interests: uro-oncology; bladder; urology; endocrinology; molecular biology; translation medicine
Prof. Dr. Horng-Heng Juang

E-Mail Website
Guest Editor
Department of Anatomy, College of Medicine, Chang Gung University, Taoyuan, Taiwan
Interests: prostate cancer; bladder cancer; genitourinary oncology; biomarkers; molecular biology

Special Issue Information

Dear Colleagues,

This Special Issue is about bladder cancer. Bladder cancer has become the ninth most common cancer worldwide, and the sixth most common malignancy in the United States, according to an epidemiologic statistics report published in 2017. Although many tumor markers associated with the development of bladder cancer have been widely reported, the rates of mortality and recurrence of bladder cancer are still high. Bladder cancer usually presents at an early stage, with most patients presenting with Tis or T1 disease and, thus, high recurrence rates. At present, different recurrence rates are observed according to the pathological staging and tumor grading. The reasons for this increase in recurrence, and tumor biology in particular, are poorly understood. Treatment of bladder cancer has evolved in recent years, with several new treatment techniques that lead to improvements in uro-oncology. This Special Issue mainly aims to discuss a collection of basic research and clinical treatments for the early detection, early diagnosis and early treatment of bladder cancer.

Here, we welcome papers outlining tumor biology, diagnostics, and treatment modalities of bladder cancer.

Prof. Dr. Ke-Hung Tsui
Prof. Dr. Horng-Heng Juang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Cancers is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • bladder neoplasm
  • carcinoma
  • biology
  • surgery
  • biomarker
  • tumor grading
  • tumor staging

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Published Papers (3 papers)

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Research

9 pages, 607 KiB  
Article
Racial Differences in the Detection Rate of Bladder Cancer Using Blue Light Cystoscopy: Insights from a Multicenter Registry
by Seyedeh-Sanam Ladi-Seyedian, Alireza Ghoreifi, Badrinath Konety, Kamal Pohar, Jeffrey M. Holzbeierlein, John Taylor, Max Kates, Brian Willard, Jennifer M. Taylor, Joseph C. Liao, Hristos Z. Kaimakliotis, Sima P. Porten, Gary D. Steinberg, Mark D. Tyson, Yair Lotan, Siamak Daneshmand and Blue Light Cystoscopy with Cysview Registry Group
Cancers 2024, 16(7), 1268; https://doi.org/10.3390/cancers16071268 - 24 Mar 2024
Cited by 1 | Viewed by 2087
Abstract
The use of blue light cystoscopy (BLC) has been shown to improve bladder tumor detection. However, data demonstrating the efficacy of BLC across different races are limited. Herein, we aim to evaluate heterogeneity in the characteristics of BLC for the detection of malignant [...] Read more.
The use of blue light cystoscopy (BLC) has been shown to improve bladder tumor detection. However, data demonstrating the efficacy of BLC across different races are limited. Herein, we aim to evaluate heterogeneity in the characteristics of BLC for the detection of malignant lesions among various races. Clinicopathologic information was collected from patients enrolled in the multi-institutional Cysview® registry (2014–2021) who underwent transurethral resection or biopsy of bladder tumors. Outcome variables included sensitivity and negative and positive predictive values of BLC and white light cystoscopy (WLC) for the detection of malignant lesions among various races. Overall, 2379 separate lesions/tumors were identified from 1292 patients, of whom 1095 (85%) were Caucasian, 96 (7%) were African American, 51 (4%) were Asian, and 50 (4%) were Hispanic. The sensitivity of BLC was higher than that of WLC in the total cohort, as well as in the Caucasian and Asian subgroups. The addition of BLC to WLC increased the detection rate by 10% for any malignant lesion in the total cohort, with the greatest increase in Asian patients (18%). Additionally, the positive predictive value of BLC was highest in Asian patients (94%), while Hispanic patients had the highest negative predictive value (86%). Our study showed that regardless of race, BLC increases the detection of bladder cancer when combined with WLC. Full article
(This article belongs to the Special Issue Staging and Pathology of Bladder Cancer)
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14 pages, 3708 KiB  
Article
Survival Prediction of Patients with Bladder Cancer after Cystectomy Based on Clinical, Radiomics, and Deep-Learning Descriptors
by Di Sun, Lubomir Hadjiiski, John Gormley, Heang-Ping Chan, Elaine M. Caoili, Richard H. Cohan, Ajjai Alva, Vikas Gulani and Chuan Zhou
Cancers 2023, 15(17), 4372; https://doi.org/10.3390/cancers15174372 - 1 Sep 2023
Cited by 4 | Viewed by 1537
Abstract
Accurate survival prediction for bladder cancer patients who have undergone radical cystectomy can improve their treatment management. However, the existing predictive models do not take advantage of both clinical and radiological imaging data. This study aimed to fill this gap by developing an [...] Read more.
Accurate survival prediction for bladder cancer patients who have undergone radical cystectomy can improve their treatment management. However, the existing predictive models do not take advantage of both clinical and radiological imaging data. This study aimed to fill this gap by developing an approach that leverages the strengths of clinical (C), radiomics (R), and deep-learning (D) descriptors to improve survival prediction. The dataset comprised 163 patients, including clinical, histopathological information, and CT urography scans. The data were divided by patient into training, validation, and test sets. We analyzed the clinical data by a nomogram and the image data by radiomics and deep-learning models. The descriptors were input into a BPNN model for survival prediction. The AUCs on the test set were (C): 0.82 ± 0.06, (R): 0.73 ± 0.07, (D): 0.71 ± 0.07, (CR): 0.86 ± 0.05, (CD): 0.86 ± 0.05, and (CRD): 0.87 ± 0.05. The predictions based on D and CRD descriptors showed a significant difference (p = 0.007). For Kaplan–Meier survival analysis, the deceased and alive groups were stratified successfully by C (p < 0.001) and CRD (p < 0.001), with CRD predicting the alive group more accurately. The results highlight the potential of combining C, R, and D descriptors to accurately predict the survival of bladder cancer patients after cystectomy. Full article
(This article belongs to the Special Issue Staging and Pathology of Bladder Cancer)
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11 pages, 2659 KiB  
Article
Prospective Validation of the ROL System in Substaging pT1 High-Grade Urothelial Carcinoma: Results from a Mono-Institutional Confirmatory Analysis in BCG Treated Patients
by Marina Valeri, Roberto Contieri, Vittorio Fasulo, Martina Iuzzolino, Miriam Cieri, Grazia M. Elefante, Camilla De Carlo, Alessandra Bressan, Cesare Saitta, Andrea Gobbo, Pier Paolo Avolio, Valerio Dacrema, Massimo Lazzeri, Gianluigi Taverna, Luigi M. Terracciano, Rodolfo Hurle and Piergiuseppe Colombo
Cancers 2023, 15(3), 934; https://doi.org/10.3390/cancers15030934 - 1 Feb 2023
Cited by 5 | Viewed by 1913
Abstract
Patients with pT1 high-grade (HG) urothelial carcinoma (UC) and a very high risk of progression might benefit from immediate radical cystectomy (RC), but this option remains controversial. Validation of a standardized method to evaluate the extent of lamina propria (LP) invasion (with recognized [...] Read more.
Patients with pT1 high-grade (HG) urothelial carcinoma (UC) and a very high risk of progression might benefit from immediate radical cystectomy (RC), but this option remains controversial. Validation of a standardized method to evaluate the extent of lamina propria (LP) invasion (with recognized prognostic value) in transurethral resection (TURBT) specimens is still needed. The Rete Oncologica Lombarda (ROL) system showed a high predictive value for progression after TURBT in recent retrospective studies. The ROL system was supposed to be validated on a large prospective series of primary urothelial carcinomas from a single institution. From 2016 to 2020, we adopted ROL for all patients with pT1 HG UC on TURBT. We employed a 1.0-mm threshold to stratify tumors in ROL1 and ROL2. A total of 222 pT1 HG UC were analyzed. The median age was 74 years, with a predominance of men (73.8%). ROL was feasible in all cases: 91 cases were ROL1 (41%), and 131 were ROL2 (59%). At a median follow-up of 26.9 months (IQR 13.8–40.6), we registered 81 recurrences and 40 progressions. ROL was a significant predictor of tumor progression in both univariable (HR 3.53; CI 95% 1.56–7.99; p < 0.01) and multivariable (HR 2.88; CI 95% 1.24–6.66; p = 0.01) Cox regression analyses. At Kaplan-Meier estimates, ROL showed a correlation with both PFS (p = 0.0012) and RFS (p = 0.0167). Our results confirmed the strong predictive value of ROL for progression in a large prospective series. We encourage the application of ROL for reporting the extent of LP invasion, substaging T1 HG UC, and improving risk tables for urological decision-making. Full article
(This article belongs to the Special Issue Staging and Pathology of Bladder Cancer)
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