Next Article in Journal
Metformin Is Associated with a Lower Incidence of Benign Brain Tumors: A Retrospective Cohort Study in Patients with Type 2 Diabetes Mellitus
Next Article in Special Issue
Effects of Molecular Iodine/Chemotherapy in the Immune Component of Breast Cancer Tumoral Microenvironment
Previous Article in Journal
The Interactions of H2TMPyP, Analogues and Its Metal Complexes with DNA G-Quadruplexes—An Overview
Previous Article in Special Issue
Computational Probing the Methylation Sites Related to EGFR Inhibitor-Responsive Genes
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Interplay between Epigenetics and Cellular Metabolism in Colorectal Cancer

1
Cancer Center, Medical Research Institute, Southwest University, Chongqing 400716, China
2
State Key Laboratory of Silkworm Genome Biology, Institute of Sericulture and Systems Biology, College of Sericulture & Textile & Biomass Science, Southwest University, Chongqing 400716, China
3
Engineering Research Center for Cancer Biomedical and Translational Medicine, Southwest University, Chongqing 400716, China
4
Chongqing Engineering and Technology Research Center for Silk Biomaterials and Regenerative Medicine, Southwest University, Chongqing 400716, China
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Biomolecules 2021, 11(10), 1406; https://doi.org/10.3390/biom11101406
Submission received: 16 August 2021 / Revised: 17 September 2021 / Accepted: 18 September 2021 / Published: 25 September 2021
(This article belongs to the Special Issue Novel Indications of Epigenetic Therapy in Cancer)

Abstract

:
Cellular metabolism alterations have been recognized as one of the most predominant hallmarks of colorectal cancers (CRCs). It is precisely regulated by many oncogenic signaling pathways in all kinds of regulatory levels, including transcriptional, post-transcriptional, translational and post-translational levels. Among these regulatory factors, epigenetics play an essential role in the modulation of cellular metabolism. On the one hand, epigenetics can regulate cellular metabolism via directly controlling the transcription of genes encoding metabolic enzymes of transporters. On the other hand, epigenetics can regulate major transcriptional factors and signaling pathways that control the transcription of genes encoding metabolic enzymes or transporters, or affecting the translation, activation, stabilization, or translocation of metabolic enzymes or transporters. Interestingly, epigenetics can also be controlled by cellular metabolism. Metabolites not only directly influence epigenetic processes, but also affect the activity of epigenetic enzymes. Actually, both cellular metabolism pathways and epigenetic processes are controlled by enzymes. They are highly intertwined and are essential for oncogenesis and tumor development of CRCs. Therefore, they are potential therapeutic targets for the treatment of CRCs. In recent years, both epigenetic and metabolism inhibitors are studied for clinical use to treat CRCs. In this review, we depict the interplay between epigenetics and cellular metabolism in CRCs and summarize the underlying molecular mechanisms and their potential applications for clinical therapy.

1. Introduction

Colorectal cancer (CRC), a multi-step, multi-factor complex disease, is a common malignant tumor of the digestive tract. It has become the world’s third most common cancer and the second most common cause of death from cancer [1]. Both genetic and environmental risk factors play essential roles during the development of CRC [2]. In recent years, there have been large advances in cancer diagnosis technology. However, because the early symptoms are not dominant, most patients are diagnosed at an advanced stage, which affects the prognosis. Therefore, it is urgent to reduce the high incidence and mortality of CRC, and to develop advanced prevention and treatment strategies. For decades, people have elucidated many aspects of CRC biology, including genetics, epigenetics, metabolism and signaling pathways. Among them, epigenetic changes and cellular metabolic reprogramming play a key role in the occurrence and development of CRC, which is becoming more and more important.
Epigenetics refers to the regulatory code that dictates gene expression or not and can be stably inherited in the absence of a constant genomic sequence. The current research content of epigenetics mainly includes DNA methylation and hydroxylmethylation, histone modifications, chromosome remodeling, and non-coding RNA regulation. In the early stage of CRC, DNA methylation status begins to change abnormally, mainly through the hypermethylation of some CpG islands leading to the down-regulation of gene expression and genome-wide hypomethylation, which cause genome instability to participate in tumorigenesis and development [3,4]. Histone modifications are often closely related to DNA methylation and act together in the process of gene transcription. Covalent modifications in histones includes acetylation, methylation, phosphorylation, ADP-ribosylation, ubiquitination, succinylation and myristoylation, etc. Histone methylation modifications mainly include the monomethylation, dimethylation or trimethylation of histone H3 or H4, such as H3K4me2, H3K4me3, H3K9me3 and H3K27me3. Histone acetylation modifications mainly include histone H3 and H4 acetylation. Histone modification significantly affects gene expression; therefore, there are obvious histone modification abnormalities in CRC [5]. MicroRNA (miRNA) is a small single-stranded non-coding RNA that can regulate the expression of various oncogenes and tumor suppressor genes after transcription. The dysregulated expression of many miRNAs has been shown to mediate important signaling pathways in the multi-step carcinogenesis of CRC [6]. In recent years, long non-coding RNA (lncRNA) has also been shown to be highly associated with the tumorigenesis of CRC [7,8]. Even in mitochondrion, epigenetics also plays a fundamental role in energy hemostasis [9].
Cell division and proliferation requires a large amount of protein, lipid and nucleic acid as molecular raw materials and adenosine triphosphate (ATP) as energy, leading to the reorganization of anabolic flow in tumor cells. Metabolic reprogramming contributes to tumor progression and metastasis, which is considered to be an important hallmark of cancer [10]. The most dominant metabolic reprogramming is the aerobic glycolysis, also called the Warburg effect. Tumor cells increase glucose consumption to promote glycolysis, converting pyruvate to lactic acid even under aerobic conditions, which is different to that of the normal cells. However, glutamine metabolism and oxidative phosphorylation (OXPHOS), as well as lipometabolism and one-carbon pathways, are also altered in some tumor cells because of genetic heterogeneity and microenvironmental discrepancy [11,12,13,14,15]. Cellular metabolism is exquisitely modulated. Nonetheless, the regulatory axis in tumors are usually disorganized. This is the reason why dysregulated cell metabolism is observed in tumors. Cell metabolism is one of the essential factors contributing to carcinogenesis, and is also a result of malignancy [16,17]. Studies have found that metabolic reprogramming is widespread in CRC. In different types of cancers, including CRC, dysregulated metabolic pathways such as abnormal glycolysis, glutamate and lipid synthesis are often observed, leading to unlimited tumorigenesis [18].
It is worth noting that certain metabolic changes are known to occur at the epigenetic level, so that epigenetics and metabolism are highly intertwined in a mutually beneficial manner [19]. Metabolites produced in metabolic pathways, such as glycolysis cycles and OXPHOS, can be used as cofactors for epigenetic regulation [20]. Studies have also shown that epigenetics can regulate the expression of metabolism-related genes and affect the metabolic reprogramming of tumor cells [21,22,23]. Since many metabolic changes and epigenetic regulation are common in multiple cancer types, they become promising targets for tumor therapy. The purpose of this review is to describe the interactions between epigenetic changes and metabolic reprogramming, and to list the research progress of drugs targeting epigenetics and metabolism in CRC.

2. Epigenetics in CRC

2.1. DNA Methylation and Hydroxymethylation in CRC

2.1.1. DNA Methylation in CRC

DNA methylation is the covalent bonding of a methyl group at the 5′ carbon position of the cytosine of CpG dinucleotides under the action of DNA methyltransferases (DNMTs) to form 5-methylcytosine (5mC). DNMTs are mainly divided into two categories: DNA methylation maintenance enzyme DNMT1 and DNA de novo methylase DNMT3A, DNMT3B and DNMT3L [24]. In the human genome, CpG dinucleotides account for 10% and exist in two forms. One is dispersed in DNA and accounts for 70% to 80% of CpG dinucleotides, and this form is in the form of methyl. Another form, where CpG sites are highly clustered, is called CpG islands, which only account for 1% to 2% of the genome. They are mostly found in the 5′ promoter region of the gene, and can also extend to the exon region of the gene. Changes in normal DNA methylation patterns include DNA hypomethylation, which occurs in normal unmethylated regions of the genome, and DNA hypermethylation, which usually occurs on CpG islands [25].
Recent studies have shown that inactivation of multiple tumor-suppressor genes due to abnormal methylation of CpG islands plays an important role in the development of CRC [26]. DNA methylation has a unique subtype in CRC, which is called the CpG island methylation phenotype (CIMP) [27]. CIMP has been considered a significant direction for CRC research [28]. Evidence shows that this abnormal methylation has been found in the promoter regions of some vital tumor suppressor genes in CRC, including O6-methylguanine-DNA methyltransferase (MGMT), thrombospondin 1 (THBS1), tissue inhibitor of metalloproteinases 3 (TIMP3), p14ARF, p15INK4B (cyclin dependent kinase inhibitor 2B), p16INK4a, adenomatous polyposis coli (APC), deleted in colorectal carcinoma (DCC), MutL homolog 1 (MLH1), insulin-like growth factor 2 (IGF2), suppressor of cytokine signaling 1 (SOCS-1) and Runt-related transcription factor 3 (RUNX3) genes. The CpG island methylation in the promoter region of the above genes may play a crucial role in the occurrence and development of CRC, and the hypermethylation of the p16 promoter region is common in CRC. Moreover, hypermethylation of the p16 promoter region is widespread in CRC, and p16 methylation can be considered as an indicator of the prognosis of CRC [29].
Genome-wide hypomethylation is aberrant and involves early epigenetic changes during the development of CRC [30]. There are few studies into molecular events related to human genome hypomethylation, but there is evidence that gene-related specific hypomethylation changes are closely related to the development of CRC. In tumor cells, oncogenes are in a state of hypomethylation, and so they are activated. Abnormal hypomethylation of some genes, such as mothers against decapentaplegic homolog 3 (SMAD3), long interspersed nucleotide element-1 (LINE-1) and GDNF family receptor alpha 1 (GFRA1) genes, have been shown to be associated with the poor prognosis of CRC [31,32,33].

2.1.2. DNA Hydroxymethylation in CRC

During active and passive demethylation pathways, there are several kinds of intermediates, such as 5-hydroxymethylcytosine (5hmC), 5-formylcytosine (5fC), 5-carboxylcytosine (5caC) and 5-hydroxymethyluracil (5hmU) [9]. Recently, DNA 5hmC is also found to be a biomarker for tumors and may play an important role during tumorigenesis [34]. 5hmC regulates intestinal differentiation in adults, and its aberrant alterations lead to the disorder of gene expression in CRC [35]. Besides, DNA 5hmC is associated with malignant tumor behavior in patients and is considered to be an independent prognostic factor for overall survival, indicating that down-regulation of DNA 5hmC may be a useful biomarker for prognostic assessment of CRC [36]. Aberrant hydroxymethylation of arachidonate 15-lipoxygenase (ALOX15), growth hormone releasing hormone receptor (GHRHR), tissue factor pathway inhibitor 2 (TFPI2) and transketolase like 1 (TKTL1) at some genome position is correlated with CRC [37]. These lines of evidence indicate that 5hmC in genomes may be a promising biomarker for the diagnosis and prognosis of CRC.
Abnormal 5hmC modifications often occur at transcription start site (TSSs) regions and proximal regions closer to TSSs than that of the abnormal methylation [37]. Some studies have shown that promoters with 5hmC have a natural resistance to hypermethylation in CRC [38]. This result means that 5hmC also functions as an important regulator during transcription, and can be used as a therapeutic target. Vitamin C can promote decitabine or azacytidine-induced DNA 5hmC, leading to subsequent reactivation of p21WAF1 (CDKN1A), an epigenetically silenced tumor suppressor in CRC [39]. Treatment with anti-cancerous omega-3 polyunsaturated fatty acids in CRC shows an increase in the genomic DNA 5hmC [40].

2.2. Histone Post-Translational Modification

Histone modification is mainly the various modifications of the free N-terminal, including acetylation, methylation, phosphorylation, ubiquitination and so on. These modifications direct the fate and function of histones, which further alter the chromosomal substructures and subsequently gene transcription. Histone modification can catalyze the change of gene expression through histone modification enzymes, including writers, erasers and readers, which play important roles in the occurrence and development of malignant tumors. Therefore, the dysregulation of histone modification in CRC may change the expression of corresponding genes. Histone modifications can result in the activation or inhibition of transcription, depending on the location and type of modification [41]. The acetylation of lysine residues is related to transcriptional activation and is considered an “activation marker” [42]. Studies have shown that the acetylation level of H3K27 in CRC is significantly higher than that in normal tissues [43]. Ashktorab et al. demonstrated that H3K12 and H3K18 acetylation are significantly increased in moderately and well-differentiated colon cancer, and are decreased in poorly differentiated colon cancer [44]. However, lysine methylation can cause many consequences, such as promotion of transcriptional activity, regulation of transcriptional inhibition and so on. H3K4me3 is enriched in transcriptionally active gene promoters, while H3K9me3 and H3K27me3 are present in transcriptional repressive gene promoters. Benard et al. demonstrated that the high expression of activated histone modification H3K4me3 and the low expression of silent modification H3K9me3 may be related to the poor clinical outcome of CRC [45].
Histone modification is dynamically regulated by a variety of enzymes. For example, histone methyltransferases (HMTs) and histone demethylases (HDMs) are responsible for increasing and removing methyl groups, respectively. Histone acetyltransferases (HATs) can increase the acetyl groups of lysine residues, while histone deacetylases (HDACs) can remove acetyl groups. The dynamic balance of these two enzyme activities maintains the proper state of histone acetylation. Therefore, the dysregulation of histone modification-related enzyme activities is related to the development of cancer [46]. For instance, H3K9 methyltransferase G9a promotes gastric cancer progression and suppresses its autophagy by activating mTOR signaling [47]. H4K16 acetyltransferase MYST1/KAT8 contributes to glioblastoma progression by activating EGFR signaling [48]. H3K9 deacetylase SIRT6, one of the class III HDACs, are important for melanoma and gliomblatoma progression via inhibition of the transcription of glycolytic genes [49,50]. In CRC, epigenetics also functions as a fundamental role during carcinogenesis and subsequent tumor development and metastasis. For instance, H3K79 methyltransferase DOT1L supports CRC cancer progression via epigenetically promoting c-Myc expression [51]. Histone demethylase JMJD2D can interacts with β-catenin, activating the transcription of its target genes, which further supports cell proliferation, migration, and invasion of CRC [52]. Histone deacetylase SIRT1 inhibits CRC metastasis by transcriptional repression of miR-15b-5p [53]. These results indicate that post-translational modifications of the histone are important for CRC tumorigenesis and may be used as therapeutic targets for targeted therapy. Importantly, inhibitors targeting histone deacetylase have become promising drugs for the treatment of CRC [54].

2.3. Non-Coding RNAs in CRC

2.3.1. MicroRNAs in CRC

MiRNA is a type of non-coding single-stranded RNA molecule with a length of about 22 nucleotides encoded by endogenous gene. By binding to a specific site in the 3′ UTR region of the target gene’s mRNA, miRNA promotes the degradation of the target gene’s mRNA, thereby exercising the function of regulating gene expression. A large number of studies have shown that the abnormal regulation of miRNAs plays an important role in the development and metastasis of CRC, showing dual effects of promoting tumors or suppressing tumors [55]. Deng et al. proved that overexpression of miR-21 can promote cell proliferation and invasion, and can alleviate the inhibitory effect of the chemotherapy drug 5-fluorouracil (5-Fu), the first-line drug for the treatment of CRC, on the proliferation and invasion of HT-29 cells [56]. The low expression of miR-133b is related to the poor survival rate and metastasis of CRC [57]. In SW620 and HT-29 cell lines, the ectopic expression of miR-133b can effectively inhibit tumor cell proliferation and apoptosis in vitro and in vivo by directly targeting receptor tyrosine kinases [58]. It has been found that the expression of miR-143 and miR-145 is reduced in CRC. Transfection of miR-143 and miR-145 precursors into HCT116 or SW480 cell lines, respectively, can observe cell growth inhibition and drug sensitivity enhancement [59]. More and more evidence shows that miRNAs can be used as markers for prognostic evaluation and efficacy evaluation of CRC [6]. Therefore, inhibiting oncogenic miRNAs and restoring the tumor-suppressive miRNAs can be used as promising strategies for the treatment of CRC.

2.3.2. LncRNAs in CRC

Long non-coding RNAs (lncRNAs) are transcripts longer than 200 nucleotides that do not encode proteins. They can interact with almost all molecules in cells, including RNA, DNA, proteins, and even metabolites. Recently, lncRNAs such as cancer-susceptibility 15 (CACS15), cytoskeleton regulator RNA (CYTOR), HOX transcript antisense RNA (HOTAIR), metastasis associated lung adenocarcinoma transcript 1 (MALAT1), taurine upregulated 1 (TUG1), nuclear paraspeckle assembly transcript 1 (NEAT1), miR-17-92a-1 cluster host gene (MIR17HG) and so on, have been shown to be tightly correlated with the prognosis of CRC and function as competitive endogenous RNAs (ceRNAs) [60]. These ceRNA networks, formed by the lncRNA/miRNA/mRNA interactions, have been found in a wide range of biological processes in CRC, including liver metastasis, epithelial-to-mesenchymal transition (EMT), inflammation, and chemotherapy/radiation resistance [60]. Moreover, lncRNAs also function as protein partners to regulate protein stabilization. For instance, lncRNA nuclear paraspeckle assembly transcript 1 (NEAT1) directly interacts with Ddx5 protein, enhancing its stability, and sequentially activating Wnt signaling in CRC [61]. LncRNA colon cancer associated transcript 1-L (CCAT1-L), which is specifically transcribed from the upstream 515kb site of MYC in human colorectal carcinoma, promotes long-term chromatin looping, which further enhances MYC transcription regulation via long-range interactions between the MYC promoter and its enhancers [62]. These findings indicate that lncRNAs may be potential biomarkers and therapeutic targets for CRC.

3. Cellular Metabolism in CRC

3.1. Aerobic Glycolysis in CRC

Current studies have found that the Warburg effect is closely related to the occurrence, invasion and metastasis of CRC [63,64]. Compared with normal mucosa, many metabolic pathways of CRC have changed. The metabolic changes of CRC is the result of metabolic reprogramming guided by the activation of proto-oncogenes and the inactivation of tumor suppressor genes [65]. Many genes and proteins related to glucose uptake and glycolysis are dysregulated in CRC, including K-RAS, hypoxia-inducible factor (HIF), MYC, PI3K/AKT/mTOR axis and their related signaling pathways and tumor suppressor gene p53 [66]. In fact, the dysregulation of many of the above genes is related to tumor aggressiveness and poor prognosis of CRC [67]. For instance, K-RAS mutations occur in approximately 40% of CRCs [68,69]. Yun et al. found that glucose transporter 1 (GLUT1) levels were up-regulated in the transcripts of CRC cell lines in the K-RAS gene mutation state, and K-RAS mutant cells showed increased glucose uptake and glycolysis [70]. Another major gene is HIF, which is stimulated by the hypoxic microenvironment. Up-regulation of HIF-1α expression was found in 55% of CRC biopsies [71]. HIF can up-regulate the expression of hundreds of genes, such as GLUT1, c-Myc, vascular endothelial growth factor (VEGF), and glycolysis-related genes. P53 is also one of the most import and mutant genes in CRCs. More than 40% of CRCs carry mutations in the tumor suppressor gene p53, leading to loss or gain of function [72]. Ma et al. found that the glycolysis of wild-type p53 CRC HCT116 cells contributes about 40% to ATP, while the contribution of p53 mutant cell glycolysis to ATP is up-regulated to about 66% [73].

3.2. Glutamine Metabolism in CRC

In addition to glycolysis, glutaminolysis is also important in CRC. Glutamine is the fastest consumed amino acid in tumor cells. The growth of cancer cells is dependent on glutamine, and tumor cells cannot grow in a medium lacking glutamine. After glutamine enters the cell via the transporter alanine-serine-cysteine transporter 2 (ASCT2), it is hydrolyzed into glutamate and ammonia under the action of glutaminase (GLS), glutamine can be converted into α-ketoglutaric acid (α-KG) and enter the tricarboxylic acid (TCA) cycle, which provides intermediate metabolites and energy for cells [74]. The gene expression of glutamine metabolism-related enzymes in CRC is up-regulated. For example, the level of GLS1 mRNA in CRC is significantly higher than that in neighboring normal tissues [75]. These changes are regulated by oncogenes and tumor suppressor genes. Among them, the proto-oncogene c-Myc is the main transcription factor that promotes the metabolism of glutamine in cancer cells. ASCT2 and GLS1 can be transcriptionally activated by c-Myc, thereby promoting the uptake and metabolism of glutamine [76,77].

3.3. Biosynthetic Metabolism in CRC

In addition to energy catabolism, the biosynthetic metabolism of CRC is also very different from normal human tissues, which is mainly reflected in lipids, proteins and nucleotides. For instance, comparing CRC to normal colon tissue, an integrated analysis of miRNA and mRNA endorses a twenty miRNAs signature, which is tightly correlated with metabolic genes including long-chain acyl-CoA synthetase 6 (ACSL6) and phosphoribosyl pyrophosphate synthetase 1 and 2 (PRPS1/2) [78]. Nucleotides in tumors are mainly synthesized by de novo pathways, and their de novo synthetase activities are relatively high in CRC [79,80].
The lipid metabolism of normal cells is maintained at a low level, and the activity of enzymes related to lipid metabolism is also low. Abnormal lipid metabolism of tumor cells is mainly manifested by de novo fatty acid synthesis and enhanced lipid synthesis [81]. Enzymes related to fatty acid synthesis have been discovered, such as ATP citrate lyase (ACLY), acetyl-CoA carboxylase (ACC) and fatty acid synthetase (FASN) is highly expressed in CRC [82,83]. Nevertheless, several genes, such as acetyl-CoA acyltransferase 2 (ACAA2), acyl-CoA dehydrogenase short chain (ACADS), acetyl-CoA acetyltransferase 1 (ACAT1), acyl-CoA oxidase 1 (ACOX), carnitine palmitoyltransferase 1A (CPT1A) and 3-hydroxy-3-methylglutaryl-CoA synthase 2 (HMGCS2), were shown to be downregulated in CRC, compared with distant normal colon tissue (NTC) in a transcriptome study [84]. This makes it complex for the relationship of lipogenesis and tumorigenesis in CRC.
Protein homeostasis is also important for cell fate. Interestingly, protein synthesis is also accurately modulated in cells and deregulation of it may be an important cause for carcinogensis. It is showed that the PI3K/AKT/mTOR signaling pathway is abnormally activated in CRC, which not only enhances glycolysis, but also enhances protein synthesis [85]. Activated mTOR can regulate downstream pathways, such as eukaryotic initiation factor 4E binding protein 1 (4EBP1) and S6 kinase 1 (S6K1), which are key regulators of protein translation [86].

4. Metabolism Influences Epigenetic in CRC

As shown in Figure 1, metabolites can effluence epigenetics by modulating the epigenetic chemical reaction or regulating the enzymatic activity of epigenetic enzymes.

4.1. Metabolites Influences Epigenetic Process

4.1.1. Methyl Donor Regulates Epigenetics in CRC

S-adenosylmethionine (SAM) is a product of the single-carbon metabolic cycle [87,88]. As the main biological methyl donor, SAM can methylate DNA, RNA, protein and phospholipids [89,90]. Therefore, it is considered to be a demethylation inhibitor that can induce gene hypermethylation and reverse overall hypomethylation. Wang et al. used exogenous administration of SAM to increase DNA methylation levels and block the growth cycle of SW620 and LoVo cell lines [91]. It is speculated that specific dietary interventions can affect the level of methylation in tumors [92]. Interestingly, this hypothesis has been confirmed in many studies. Methionine is an essential sulfur-containing amino acid, which reacts with ATP under the catalysis of adenosyltransferase to generate SAM. Methionine works synergistically with 5-Fu to inhibit the growth of CRC tumors, thereby affecting the level of methylation, disrupting nucleotide metabolism and redox balance [93]. There is a negative correlation between folate levels and the risk of CRC [94,95]. Folate metabolism can affect gene expression by regulating the level of SAM. Folate deficiency can lead to a decrease in SAM levels, resulting in DNA hypomethylation in colon cells [96,97]. However, conflicting results regarding the effect of folate status on DNA methylation have been reported. Another study showed that in a mouse model of CRC, a diet lacking folate reduced tumor size without affecting overall or gene-specific DNA methylation [98]. These findings may indicate that dietary folate levels are not the only determinant of DNA methylation status, and other confounding factors may regulate the role of folate as a methyl donor.

4.1.2. Acetyl Donor Regulates Epigenetics in CRC

Acetyl-coenzyme A (acetyl-CoA) is a significant metabolic intermediate of the three major nutrients of glucose, fatty acid, and amino acid [88,99]. As the sole acetyl donor in acetylation, acetyl-CoA plays a key role in the process of histone acetylation [100]. Under “fed” or “fasted” state, acetyl-CoA levels fluctuate in cytosol/nucleus/mitochondria resulting in changes in protein acetylation levels [101]. It is reported that metabolic reprogramming of acetyl-CoA exists in many types of tumors [102]. In addition to glucose and other conventional carbon sources, it has recently been demonstrated that acetyl-CoA can be produced from acetate in a variety of cancers, including CRC [103]. Gao et al. found that acetate can produce acetyl-CoA, which affects the acetylation levels of H3K9, H3K27 and H3K56 in HT-29 cells [104]. Besides Acetate, butyrate can also up-regulate the level of Ac-CoA, thereby enhancing the histone acetylation of promoters of DNA mismatch repair genes [105]. Recent report also showed that acetyl-CoA synthetase 2 (ACSS2) is downregulated in CRC and is associated with poor tumor prognosis [106,107]. Chen et al. presented that histone H3 acetylation levels are significantly downregulated in CRC tissues compared to normal colon tissues [108]. These phenomena are directly related to changes in Ac-CoA levels.

4.2. Metabolites Influences the Activity of Epigenetic Enzyme

4.2.1. Metabolites Affecting DNMTs and HATs

In CRC, increased levels of SAM can change the state of DNA hypomethylation and increase DNA methyltransferase activity [109,110]. In the SAM transmethylation reaction, S-adenosylhomocysteine (SAH) as a by-product is produced, which is a vigorous inhibitor of SAM-dependent methyltransferase [111,112]. Therefore, SAM/SAH ratios decide methyltransferase activity in vivo [88]. A present study shows that exogenous giving SAM increases SAM/SAH ratio, thus activating DNMTs and HATs resulting in increased methylation [113,114]. Dietary folate intake will change SAM/SAH ratio and cause fluctuations in DNMT levels, thereby affecting DNA hypomethylation in CRC [115,116,117,118].

4.2.2. Metabolites Affecting JMJDs and TETs

In the metabolism of TCA cycle, isocitrate dehydrogenase (IDH) can catalyze the conversion of isocitrate to α-KG [119]. IDH gene mutations are closely related to the occurrence and development of tumors, but the mutation rate of IDH in CRC is only 1% [120,121]. When IDH is mutated, its enzymatic activity changes, which can convert α-KG into 2-hydroxyglutarate (2-HG), resulting in excessively high levels of 2-HG in the body [122]. 2-HG and α-KG are highly similar molecules. 2-HG can occupy the same binding pocket as α-KG, and competitively inhibit α-KG-dependent dioxygenase, including histone demethylases dependent of Jumonji C-domain-containing (JMJDs) and ten-eleven translocations (TETs) [123,124,125]. Gerecke et al. proved that Vitamin C and IDH inhibitor ML309 act synergistically in some way to mediate the displacement of 2-HG on the catalytically active site of TETs and reactivate its full functions, accompanied by an increase in overall DNA hydroxymethylation and apoptosis in mutated IDH cells (HCT116 IDHR132H/+) [126]. Fumarate and succinate, other metabolites of TCA cycle, can act as α-KG antagonists to inhibit α-KG-dependent dioxygenase activity [127]. It has been confirmed that the accumulation of succinate can promote the effect of Wnt/β-catenin signaling pathway in KRAS-mutant CRC by blocking TETs [128].

4.2.3. Metabolites Affecting HATs

Both acetyl-CoA absolute levels and acetyl-CoA/CoA-SH ratios can regulate HATs activity in cancer cells [129,130]. Studies have shown that histone acetylation in mammalian cells relies on ACLY, which turns glucose-derived citric acid into acetyl-CoA. The effect of acetyl-CoA on HATs is regulated by the expression of ACLY [88]. Wellen et al. found that ACLY is the main source of acetyl-CoA for global histone acetylation under normal growth conditions, but ACLY gene silencing observably reduces the amount of histone acetylation in the HCT116 cell line [131].

4.2.4. Metabolites Affecting HDACs and SIRTs

According to three-dimensional structures, functions, and sequence homology, HDACs can be roughly divided into four categories: metal-dependent class I, II and IV (classical HDACs) and NAD+-dependent class III (SIRT1-7) [132]. It is reported that butyrate and pyruvate can inhibit classical HDACs activity in CRC [133,134]. More and more studies have shown the role of butyrate in preventing CRC [135,136]. Butyrate accumulates in cancerous cells undergoing the Warburg effect. Hence, the increase of butyrate may inhibit the growth of CRC cells and act as an inhibitor of HDACs to up-regulate pro-apoptotic genes [137].
Nicotinamide adenine dinucleotide (NAD+) is a significant cofactor for the activity of SIRTs, which can directly and indirectly affect many key cell functions, including metabolic pathways [138]. Nicotinamide phosphoribosyltransferase (NAMPT) is up-regulated in different types of cancers such as CRC, resulting in an increase in the NAD(H) pool size and the NAD+/NADH ratio [139]. Recently, Brandl et al. confirmed the existence of c-Myc/NAMPT/SIRT1 feedback loop in CRC [140]. Among them, c-Myc can cause an increase in NAD+ to mediate the activity of SIRT1 through transcriptional activation of NAMPT. Studies have shown that MYC can also increase the activity of lactate dehydrogenase A (LDHA), thereby promoting the reduction of pyruvate to lactate by LDHA. At the same time, this process is accompanied by the oxidation of NADH to form NAD+ [141]. The high expression of SIRT3, SIRT5, and SIRT7 is associated with poor CRC prognosis, while SIRT2, SIRT4, and SIRT6 are the opposite [142,143,144,145,146,147].

5. Epigenetics Influence Metabolism in CRC

As shown in Figure 2, epigenetics can modulate cellular metabolism in a direct or indirect manner. For direct modulation, epigenetic factors directly interact with genes of metabolism; for indirect modulation, epigenetic factors interact with major regulators of metabolism.

5.1. Epigenetics Direct Regulation of Metabolism-Related Genes

Epigenetic modification can directly change the mRNA expression of metabolic enzymes and transporters to regulate cell metabolism. DNA hypermethylation or hypomethylation in the promotor of glycolytic genes can directly determine their expression. Fructose-1,6-bisphosphatase-1 (FBP1) has been shown to be generally down-regulated in CRC [148]. It is considered that FBP1 is a key enzyme regulating gluconeogenesis, which can catalyze the hydrolysis of fructose-1,6-diphosphate to fructose-6-phosphate and inorganic phosphate. FBP1 can antagonize glycolysis, hence its low expression can increase glycolytic flux, which further promotes tumor proliferation and metastasis. Chen et al. found that in SW620, HCT116 and other CRC cell lines, DNA methylation mediates promoter methylation to silence FBP1 [149]. On the contrary, the up-regulation of hexokinase 2 (HK2) and pyruvate kinase isozyme 2 (PKM2) in CRC is beneficial to increase glycolytic flux by promoter hypomethylation, which further improves the Warburg effect and CRC tumorigenesis [150,151,152,153].
MiRNAs can also participate in the expression of metabolism-related genes at the post-transcriptional level to regulate the transformation of glycometabolism in CRC. MiRNAs regulate the expression of many genes involved in glutamate metabolism, including miR-23a/b targeting GLS [76], and glycolytic, such as miR-760 and miR-143 targeting GLUT1 [154,155], miR-1 and miR-143 targeting HK2 [156,157], miR-133b targeting PKM2 [158], miR-149-3p targeting PDK2 [159], miR-335-5p targeting LDHB [160] and miR-374a targeting LDHA [161].
LncRNAs also regulate cell metabolism in CRC via direct interaction with glycolytic genes, mRNAs and proteins through multiple molecular mechanisms. For instance, lncRNA SNHG6 could target the mRNA of PKM and induce hnRNPA1 to splice the mRNA of PKM specifically, resulting in an increase in the ratio of PKM2/PKM1 [162]. LncRNA FEZF1-AS1 could bind PKM2 protein and increase its stability, leading to an increase in both cytoplasmic and nuclear PKM2 levels. Increased cytoplasmic PKM2 promotes pyruvate kinase activity and aerobic glycolysis, whereas upregulated nuclear PKM2 further activates STAT3 signaling [163]. LncRNA KCNQ1OT1 promotes CRC progression by increasing aerobic glycolysis through stabilizing HK2 [164]. In addition, LncRNA RAD51-AS1 and SLCC1 can all target HK2 [165,166].

5.2. Epigenetics Indirectly Regulate Cellular Metabolism via Modulating Metabolism-Related Transcription Factors and Signaling Pathways

DNA methylation can silence major regulators including transcriptional factors such as HIF-1/2, c-Myc, p53, phosphatase and tensin homolog deleted on chromosome 10 (PTEN), PI3K/AKT and LKB1-AMPK that control cellular metabolism in CRC. It is reported that PTEN, LKB1, prolyl hydroxylase enzymes (PHD1/2/3, negative upstream factors of HIFs) are silenced by promoter hypermethylation in CRC [167,168,169]. Fu et al. proved that JMJD2B can be combined with HIF-1α to reduce H3K9me3 on the promoter of HIF-1α targeted genes, such as LDHA, GLUT1/3, HK2, von Hippel-Lindau (VHL) and monocarboxylate transporters 4 (MCT4), to up-regulate their expression and contribute to the malignant phenotype of CRC [170]. DNA methylation also silences the Derlin-3—a key protein that mediates proteasomal degradation of GLUT1 and a pivotal regulator of glucose transport—which is confirmed to be connected with the occurrence and prognosis of CRC [171,172].
Histone post-translational modifications in the promoter region of metabolic major regulator is also an important regulatory mode for epigenetics affecting cellular metabolism. For example, Fu et al. proved that JMJD2B can be combined with HIF-1α to reduce H3K9me3 on the promoter of HIF-1α-targeted genes to upregulate their expression and to contribute to the malignant phenotype of CRC [170].
Increasing researches have shown that miRNAs also exert an important influence on signal transduction through PI3K/AKT/mTOR, HIF-1α. For example, miR-1, miR-31, miR-526b-3p, miR-200b and miR-93-5p target HIF-1α and regulate its expression in CRC [156,173,174,175,176]. MiR-1 also targets Smad3 in CRC, leading to inhibition of glycolysis and cell proliferation [156]. Besides, the PI3K/AKT/mTOR signaling pathway is identified as a direct target of miR-218 and miR-10b [177,178].
LncRNA also indirectly regulates cellular metabolism in CRC. For instance, lncRNA GLCC1 promotes colorectal carcinogenesis and glucose metabolism by stabilizing c-Myc, protecting it from ubiquitination-mediated degradation [179]. As an important transcription regulator of c-Myc in CRC cells, lncRNA00504 regulates metabolism at the transcription level and affects a variety of metabolic pathways [180]. Wang et al. proved lncRNA LINRIS (long intergenic noncoding RNA for IGF2BP2 stability) stabilizes IGF2BP2, a newly found N6-methyladenosine (m6A) reader that can recognize c-Myc mRNA, via protecting it from autophagic degradation, thus promoting the expression of GLUT1, PKM2 and LDHA and enhancing aerobic glycolysis in CRC [181]. LncRNA MCF2L-AS1 (MCF2 transforming sequence-like protein antisense RNA 1) aggravates cell proliferation, invasion and glycolysis of CRC cells via sponging miR-874-3p that targets forkhead box protein M1 (FOXM1) [182].
Circular RNAs (circRNAs), a special kind of lncRNAs, often function as sponges to antagonize miRNAs. CircRNA circDENND4C also sponges miR-760, which further targets GLUT1 to facilitate cell proliferation, migration and glycolysis of CRC [154]. LncRNA ARSR sponges miR-34a-5p that targets HK1 to promote glycolysis, which further stimulates CRC invasion and metastasis [183]. Exosome-delivered circRNA hsa_circ_0005963 can sponge miR-122 targeting PKM2, thereby promoting glycolysis to induce chemoresistance in CRC [184]. CircRNA hsa_circ_0000231 and lncRNA HNF1A-AS1 can promote migration, invasion and aerobic glycolysis via inhibition of miR-124/MYO6 (myosin VI) axis in CRC [185,186]. However, the relationship between MYO6 and glycolysis is not clear. CircRNA TADA2A can inhibit aerobic glycolysis and suppress the progression of CRC via sponging miR-374a-3p, which targets Kruppel like factor 14 (KLF14), a transcriptional factor that can repress the expression of glycolytic enzyme LDHB [187].

6. Epigenetic-Metabolic Crosstalk as a Therapeutic Target of CRC

As shown in Table 1 and Table 2, many inhibitors of cellular metabolism and epigenetics are under investigation in CRC. These inhibitors are potential therapeutic drugs for the treatment of CRC in the future.

6.1. Metabolism Inhibitors

6.1.1. Glycolysis Inhibitors

2-Deoxyglucose (2-DG) is a well-known glycolysis inhibitor. It has a similar structure to glucose and can competitively bind to HK2 with glucose, thereby stopping glycolysis. In HCT116 cells treated with 2-DG, the activity of acetyl-CoA is inhibited and the activity of HDACs is increased, and it is found that the degree of acetylation at multiple sites of histones H3, H4, H2A and H2B is significantly reduced [188]. In addition, 3-Bromopyruvate (3-BrPA) can also inhibit the activity of HK2, thereby inhibiting the production of ATP and inducing the death of CRC cells [189]. Hence, glycolysis is a viable target for regulating histone acetylation.

6.1.2. Glutaminase Inhibitors

Bis-2-(5-phenylacetamido-1,2,4-thiadiazol-2-yl) ethyl sulfide (BPTES), CB-839, and compound 968 are glutaminase inhibitors that have been developed, and their inhibitory effects on CRC cell viability are compared. Compound 968 may be the most effective drug, because CRC cells are more sensitive to compound 968 than BPTES and CB-839 [190]. Compound 968 is a specific inhibitor of GLS1, which can inhibit the recombinant expression of GLS1, and combine with inactive GLS to prevent GLS1 activation. However, the safety and clinical efficacy of compound 968 for the targeted treatment of glutamine metabolism in CRC needs to be evaluated in further clinical trials. Therefore, targeting glutamine metabolism may be a promising method for the treatment of CRC.

6.1.3. SAM Cycle Inhibitors

As an effective inhibitor of SAH hydrolase, 3-deazaneplanocin A (DZNep) inhibits DNA and histone methylation by reducing the SAM/SAH ratio in CRC [191].

6.2. Epigenetic Inhibitors

6.2.1. DNMT Inhibitors

5-Azacytidine and 5-Aza-2′-deoxycytidine have been approved for clinical DNMT inhibitors by regulatory agencies in the United States and Europe. 5-Azacytidine and 5-Aza-2′-deoxycytidine have been clinically studied for metastatic CRC, and 5-Azacytidine is combined with a variety of drugs to treat CRC. Li et al. proved that 5-Aza-2′-deoxycytidine has a significant inhibitory effect on the growth of CRC cell lines HCT116 and SW620, and observed that DNMTs activity was significantly reduced after treatment with different concentrations of 5-Aza-2′-deoxycytidine [192]. However, these two DNMT inhibitors have great toxic and side effects, which may be related to the formation of a covalent bond between DNA and DNMT protein being acted on [202]. Unlike the previous two, zebularine has fewer side effects. Cheng et al., through the study of tumor cell lines such as HCT15, SW48, HT-29 and a variety of normal human fibroblast cell lines, found that zebularine shows high selectivity in inhibiting DNMTs [193]. In normal fibroblast cell lines, it has little effect on DNMT1, DNMT3a and DNMT3b enzymes, while in tumor cells, DNMT1 is almost completely inhibited, and the other two enzymes are also partially inactivated.

6.2.2. HDAC Inhibitors

HDAC inhibitors can restore the activity and expression of silenced tumor suppressor genes by targeting HDAC, thereby inhibiting the proliferation of tumor cells and inducing their apoptosis. At present, drugs that have been clinically reviewed and approved, such as chidamide, belinostat, and valproic acid, have been studied and reported in the treatment of CRC. The above three drugs also have related reports on the basic research of CRC. Liu et al. found that chidamide can increase histone H3 acetylation and induce apoptosis of CRC cells, and these effects may be achieved by inhibiting PI3K/AKT and MAPK/RAS gene pathways [194]. Beck et al. proved that belinostat can induce hyperacetylation of histones and has an inhibitory effect on the proliferation of HCT116 cells [195]. Zhu et al. found that valproic acid can inhibit HDACs, induce HDAC2 degradation, and significantly reduce the number and average size of adenomas in the entire intestine of APCmin mice [196].

6.2.3. SIRT Activators and Inhibitors

Since members of SIRTs play an important role in the regulation of cancer cell metabolism, specific inhibitors may provide a strategy for cancer cell metabolism. At present, there are many studies on SIRT inhibitors, and most of the inhibitors are aimed at inhibiting the deacetylase activity of SIRT1 and SIRT2 [203,204]. Ueno et al. found that tenovin-6, a small molecule inhibitor of SIRT1 and SIRT2, can induce apoptosis of CRC cells and enhance the anti-tumor properties of 5-Fu and oxaliplatin [197]. Interestingly, in addition to drugs, some nutrients also can be potential epigenetic modulators. For instance, SIRT6 is a tumor suppressor against glycolysis and has been shown to be 35 times activated by free fatty acids, such as myristic acid, oleic acid and linoleic acid [198].

6.2.4. MiRNA Modulators

Suppressing miRNAs as oncogenes, and restoring the tumor suppressor function of miRNAs, are currently the actual strategies for cancer treatment. It is well known that the down-regulation of miRNAs that inhibit tumors contributes to the development of cancer. MiRNA-like molecules, such as miRNA mimics and miRNAs in encoding expression vectors, can effectively restore the functions of these “lost” miRNAs. MiRNA mimics are chemically modified double-stranded RNAs that can mimic endogenous precursor miRNAs and form active miRNA molecules after being processed in cells, thereby mediating the degradation and/or post-translational blocking of the target mRNA [205]. Using miRNA mimics to restore the down-regulated expression of miR-31, miR-335-5p and miRNA-802 can inhibit the proliferation, migration and invasion of CRC cells [160,199,200].
Besides, there are a variety of other methods, including antisense nucleotides and miRNA sponges, to inhibit miRNAs that are overexpressed in tumors. Antisense nucleotides are single-stranded oligonucleotides complementary to target miRNAs, which can block the interaction of miRNAs with their endogenous mRNA targets [206]. Valeri et al. proved that the specific inhibition of miR-135b can inhibit the proliferation, migration and induce apoptosis of CRC cells [201]. However, cancer treatment with miRNA as a target still faces many challenges. The temporary expression of miRNA mimics in cells also reduces the efficiency of treatment, and can cause innate immune responses, leading to adverse reactions. At the same time, the miRNA delivery system needs to be further improved [207].
In clinical practice, epigenetic drugs can be used not only alone, but also in combination with emerging anti-tumor drugs, which can greatly reduce the side effects of anti-tumor drugs while improving the efficacy. The combination of belinostat and irinotecan can synergistically enhance cell killing and inhibit tumor growth in CRC xenograft models [208]. Valproic acid can induce cell apoptosis and effectively enhance the cytotoxicity of bosutinib in vitro and in vivo at clinically relevant concentrations [209]. In addition, the current clinical studies of chidamide and valproic acid in the treatment of metastatic CRC are mainly based on combination drugs. Epigenetic drugs alone or in combination provide an attractive target for the treatment of CRC, but due to the lack of specificity and some adverse reactions, further research is still needed.

7. Summary

Abnormal epigenetic modifications in CRC can coordinate the dysregulation of driver gene expression. KRAS, HIF, MYC, PI3K/AKT/mTOR axis as driver genes are up-regulated in CRC that can increase glycolytic flux and lipid anabolism, which all contribute to the occurrence and development of CRC [66,210]. The crosstalk between epigenetic changes and metabolic reprogramming plays a very vital function in the occurrence and development of CRC, and it can be used as a promising target for tumor therapy.
In this review, we describe that DNA methylation, histone modification, and non-coding RNA-mediated epigenetic modification directly regulates the expression of metabolism-related genes in CRC, and can indirectly affect metabolic reprogramming through the regulation of metabolic-related signaling pathways. Metabolites such as glycolysis and TCA cycles can be used as cofactors, modification donors or antagonist molecules for epigenetic modifying enzymes in CRC to affect an epigenetic modification landscape. For example, SAM can be used as a methyl donor and can also activate DNMTs activity. Drugs targeting epigenetics and metabolism have achieved good results in CRC research. A deep understanding of the relationship between epigenetic modification and metabolic reprogramming is helpful in the discovery of new molecular targets and has great practical significance for the development of targeted drugs in CRC treatment.
At present, the research results of many drugs in CRC are based on cell culture systems, and to some extent it is difficult to represent the growth environment of cells in the body. The tumor microenvironment is of great significance to cell metabolism [211]. Devarasetty et al. created a colorectal tumor organism model to evaluate tumor microenvironmental effects by using its internal bioengineered mucosal cell body and embedded CRC HCT116 cells [212]. The use of the organism model provides a powerful tool for in vitro pharmacological testing, and also provides a good platform for the study of epigenetic and metabolic drugs in CRC. Future research should focus on exploring the complex crossover network between cell metabolism, epigenetic modification and tumor cell microenvironment, which is of great significance for the discovery of new or more effective molecular targets.

Author Contributions

Z.D. designed the topic and made the outline. X.Z. and Z.D. reviewed the literature and wrote the manuscript, drew cartoons and made up tables. H.C. supervised this review. All authors have read and agreed to the published version of the manuscript.

Funding

We are grateful for funding support from the National Natural Science Foundation of China (Nos. 81902664 and 81872071), the Fundamental Research Funds for the Central Universities (SWU120009) and the Natural Science Foundation of Chongqing (No. cstc2019jcyj-zdxmX0033).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

This review did not contain any data.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Purushothaman, V.L.; Cuomo, R.E.; Garland, C.F.; Mackey, T.K. Could age increase the strength of inverse association between ultraviolet B exposure and colorectal cancer? BMC Public Health 2021, 21, 1238. [Google Scholar] [CrossRef]
  2. Dekker, E.; Tanis, P.J.; Vleugels, J.L.A.; Kasi, P.M.; Wallace, M.B. Colorectal cancer. Lancet 2019, 394, 1467–1480. [Google Scholar] [CrossRef]
  3. Jair, K.-W.; Bachman, K.E.; Suzuki, H.; Ting, A.H.; Rhee, I.; Yen, R.-W.C.; Baylin, S.B.; Schuebel, K.E. De novo CpG island methylation in human cancer cells. Cancer Res. 2006, 66, 682–692. [Google Scholar] [CrossRef] [Green Version]
  4. Herman, J.G.; Baylin, S.B. Gene silencing in cancer in association with promoter hypermethylation. N. Engl. J. Med. 2003, 349, 2042–2054. [Google Scholar] [CrossRef]
  5. Qin, J.; Wen, B.; Liang, Y.; Yu, W.; Li, H. Histone Modifications and their Role in Colorectal Cancer (Review). Pathol. Oncol. Res. 2020, 26, 2023–2033. [Google Scholar] [CrossRef] [Green Version]
  6. To, K.K.; Tong, C.W.; Wu, M.; Cho, W.C. MicroRNAs in the prognosis and therapy of colorectal cancer: From bench to bedside. World J. Gastroenterol. 2018, 24, 2949–2973. [Google Scholar] [CrossRef] [PubMed]
  7. Dastmalchi, N.; Safaralizadeh, R.; Nargesi, M.M. LncRNAs: Potential Novel Prognostic and Diagnostic Biomarkers in Colorectal Cancer. Curr. Med. Chem. 2020, 27, 5067–5077. [Google Scholar] [CrossRef] [PubMed]
  8. Bermúdez, M.; Aguilar-Medina, M.; Lizárraga-Verdugo, E.; Avendaño-Félix, M.; Silva-Benítez, E.; López-Camarillo, C.; Ramos-Payán, R. LncRNAs as Regulators of Autophagy and Drug Resistance in Colorectal Cancer. Front. Oncol. 2019, 9, 1008. [Google Scholar] [CrossRef]
  9. Dong, Z.; Pu, L.; Cui, H. Mitoepigenetics and Its Emerging Roles in Cancer. Front. Cell Dev. Biol. 2020, 8, 4. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  10. Hanahan, D.; Weinberg, R.A. Hallmarks of cancer: The next generation. Cell 2011, 144, 646–674. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  11. Altman, B.J.; Stine, Z.E.; Dang, C.V. From Krebs to clinic: Glutamine metabolism to cancer therapy. Nat. Rev. Cancer 2016, 16, 619–634. [Google Scholar] [CrossRef] [PubMed]
  12. Cluntun, A.A.; Lukey, M.J.; Cerione, R.A.; Locasale, J.W. Glutamine Metabolism in Cancer: Understanding the Heterogeneity. Trends Cancer 2017, 3, 169–180. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Ashton, T.M.; McKenna, W.G.; Kunz-Schughart, L.A.; Higgins, G.S. Oxidative Phosphorylation as an Emerging Target in Cancer Therapy. Clin. Cancer Res. Off. J. Am. Assoc. Cancer Res. 2018, 24, 2482–2490. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Newman, A.C.; Maddocks, O.D.K. One-carbon metabolism in cancer. Br. J. Cancer 2017, 116, 1499–1504. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Zhao, E.; Hou, J.; Cui, H. Serine-glycine-one-carbon metabolism: Vulnerabilities in MYCN-amplified neuroblastoma. Oncogenesis 2020, 9, 14. [Google Scholar] [CrossRef] [Green Version]
  16. Cairns, R.A.; Harris, I.S.; Mak, T.W. Regulation of cancer cell metabolism. Nat. Rev. Cancer 2011, 11, 85–95. [Google Scholar] [CrossRef] [Green Version]
  17. Pavlova, N.N.; Thompson, C.B. The Emerging Hallmarks of Cancer Metabolism. Cell Metab. 2016, 23, 27–47. [Google Scholar] [CrossRef] [Green Version]
  18. La Vecchia, S.; Sebastián, C. Metabolic pathways regulating colorectal cancer initiation and progression. Semin. Cell Dev. Biol. 2020, 98, 63–70. [Google Scholar] [CrossRef]
  19. Sun, L.; Zhang, H.; Gao, P. Metabolic reprogramming and epigenetic modifications on the path to cancer. Protein Cell 2021, 1–43. [Google Scholar] [CrossRef]
  20. Aspeslagh, S.; Morel, D.; Soria, J.C.; Postel-Vinay, S. Epigenetic modifiers as new immunomodulatory therapies in solid tumours. Ann. Oncol. 2018, 29, 812–824. [Google Scholar] [CrossRef]
  21. Dong, Z.; Cui, H. Epigenetic modulation of metabolism in glioblastoma. Semin. Cancer Biol. 2019, 57, 45–51. [Google Scholar] [CrossRef] [PubMed]
  22. Zhu, S.; Dong, Z.; Ke, X.; Hou, J.; Zhao, E.; Zhang, K.; Wang, F.; Yang, L.; Xiang, Z.; Cui, H. The roles of sirtuins family in cell metabolism during tumor development. Semin. Cancer Biol. 2019, 57, 59–71. [Google Scholar] [CrossRef] [PubMed]
  23. Dong, Z.; Cui, H. Chapter 11—Sirtuins and cellular metabolism in cancers. In Sirtuin Biology in Cancer and Metabolic Disease; Maiese, K., Ed.; Academic Press: London, UK, 2021; pp. 195–217. [Google Scholar] [CrossRef]
  24. Margot, J.B.; Cardoso, M.C.; Leonhardt, H. Mammalian DNA methyltransferases show different subnuclear distributions. J. Cell. Biochem. 2001, 83, 373–379. [Google Scholar] [CrossRef] [PubMed]
  25. Jung, G.; Hernández-Illán, E.; Moreira, L.; Balaguer, F.; Goel, A. Epigenetics of colorectal cancer: Biomarker and therapeutic potential. Nat. Rev. Gastroenterol. Hepatol. 2020, 17, 111–130. [Google Scholar] [CrossRef]
  26. Peng, X.; Qing, Z. CpG island methylation of tumor suppressor genes in colorectal cancer. Chin. J. Gen. Surg. 2012, 21, 1279–1282. [Google Scholar]
  27. Lao, V.V.; Grady, W.M. Epigenetics and colorectal cancer. Nat. Rev. Gastroenterol. Hepatol. 2011, 8, 686–700. [Google Scholar] [CrossRef]
  28. Toyota, M.; Ahuja, N.; Ohe-Toyota, M.; Herman, J.G.; Baylin, S.B.; Issa, J.P. CpG island methylator phenotype in colorectal cancer. Proc. Natl. Acad. Sci. USA 1999, 96, 8681–8686. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  29. Bahrami, A.; Hassanian, S.M.; Khazaei, M.; Gharib, M.; Rahmani, M.; Fiuji, H.; Jazayeri, M.H.; Moetamani-Ahmadi, M.; Ferns, G.A.; Avan, A. The 9p21 locus as a potential therapeutic target and prognostic marker in colorectal cancer. Pharmacogenomics 2018, 19, 463–474. [Google Scholar] [CrossRef]
  30. Cavestro, G.M.; Mannucci, A.; Zuppardo, R.A.; Di Leo, M.; Stoffel, E.; Tonon, G. Early onset sporadic colorectal cancer: Worrisome trends and oncogenic features. Dig. Liver Dis. 2018, 50, 521–532. [Google Scholar] [CrossRef]
  31. Ogino, S.; Nosho, K.; Kirkner, G.J.; Kawasaki, T.; Chan, A.T.; Schernhammer, E.S.; Giovannucci, E.L.; Fuchs, C.S. A cohort study of tumoral LINE-1 hypomethylation and prognosis in colon cancer. J. Natl. Cancer Inst. 2008, 100, 1734–1738. [Google Scholar] [CrossRef] [Green Version]
  32. Lam, K.; Pan, K.; Linnekamp, J.F.; Medema, J.P.; Kandimalla, R. DNA methylation based biomarkers in colorectal cancer: A systematic review. Biochim. Biophys. Acta 2016, 1866, 106–120. [Google Scholar] [CrossRef]
  33. Dong, Z.; Dai, L.; Zhang, Y.; Fang, C.; Shi, G.; Chen, Y.; Li, J.; Wang, Q.; Fu, J.; Yu, Y.; et al. Hypomethylation of GDNF family receptor alpha 1 promotes epithelial-mesenchymal transition and predicts metastasis of colorectal cancer. PLoS Genet. 2020, 16, e1009159. [Google Scholar] [CrossRef]
  34. Jeschke, J.; Collignon, E.; Fuks, F. Portraits of TET-mediated DNA hydroxymethylation in cancer. Curr. Opin. Genet. Dev. 2016, 36, 16–26. [Google Scholar] [CrossRef]
  35. Chapman, C.G.; Mariani, C.J.; Wu, F.; Meckel, K.; Butun, F.; Chuang, A.; Madzo, J.; Bissonnette, M.B.; Kwon, J.H.; Godley, L.A. TET-catalyzed 5-hydroxymethylcytosine regulates gene expression in differentiating colonocytes and colon cancer. Sci. Rep. 2015, 5, 17568. [Google Scholar] [CrossRef] [Green Version]
  36. Zhong, A.; Tian, Y.; Zhang, H.; Lai, M. DNA hydroxymethylation of colorectal primary carcinoma and its association with survival. J. Surg. Oncol. 2018, 117, 1029–1037. [Google Scholar] [CrossRef]
  37. Li, M.; Gao, F.; Xia, Y.; Tang, Y.; Zhao, W.; Jin, C.; Luo, H.; Wang, J.; Li, Q.; Wang, Y. Filtrating colorectal cancer associated genes by integrated analyses of global DNA methylation and hydroxymethylation in cancer and normal tissue. Sci. Rep. 2016, 6, 31826. [Google Scholar] [CrossRef] [PubMed]
  38. Uribe-Lewis, S.; Stark, R.; Carroll, T.; Dunning, M.J.; Bachman, M.; Ito, Y.; Stojic, L.; Halim, S.; Vowler, S.L.; Lynch, A.G.; et al. 5-hydroxymethylcytosine marks promoters in colon that resist DNA hypermethylation in cancer. Genome Biol. 2015, 16, 69. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  39. Gerecke, C.; Schumacher, F.; Edlich, A.; Wetzel, A.; Yealland, G.; Neubert, L.K.; Scholtka, B.; Homann, T.; Kleuser, B. Vitamin C promotes decitabine or azacytidine induced DNA hydroxymethylation and subsequent reactivation of the epigenetically silenced tumour suppressor CDKN1A in colon cancer cells. Oncotarget 2018, 9, 32822–32840. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  40. Huang, Q.; Mo, M.; Zhong, Y.; Yang, Q.; Zhang, J.; Ye, X.; Zhang, L.; Cai, C. The Anticancer Role of Omega-3 Polyunsaturated Fatty Acids was Closely Associated with the Increase in Genomic DNA Hydroxymethylation. Anti-Cancer Agents Med. Chem. 2019, 19, 330–336. [Google Scholar] [CrossRef] [PubMed]
  41. Sharma, S.; Kelly, T.K.; Jones, P.A. Epigenetics in cancer. Carcinogenesis 2010, 31, 27–36. [Google Scholar] [CrossRef] [PubMed]
  42. Hebbes, T.R.; Thorne, A.W.; Crane-Robinson, C. A direct link between core histone acetylation and transcriptionally active chromatin. EMBO J. 1988, 7, 1395–1402. [Google Scholar] [CrossRef] [PubMed]
  43. Karczmarski, J.; Rubel, T.; Paziewska, A.; Mikula, M.; Bujko, M.; Kober, P.; Dadlez, M.; Ostrowski, J. Histone H3 lysine 27 acetylation is altered in colon cancer. Clin. Proteom. 2014, 11, 24. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Ashktorab, H.; Belgrave, K.; Hosseinkhah, F.; Brim, H.; Nouraie, M.; Takkikto, M.; Hewitt, S.; Lee, E.L.; Dashwood, R.H.; Smoot, D. Global histone H4 acetylation and HDAC2 expression in colon adenoma and carcinoma. Dig. Dis. Sci. 2009, 54, 2109–2117. [Google Scholar] [CrossRef] [Green Version]
  45. Benard, A.; Goossens-Beumer, I.J.; van Hoesel, A.Q.; de Graaf, W.; Horati, H.; Putter, H.; Zeestraten, E.C.M.; van de Velde, C.J.H.; Kuppen, P.J.K. Histone trimethylation at H3K4, H3K9 and H4K20 correlates with patient survival and tumor recurrence in early-stage colon cancer. BMC Cancer 2014, 14, 531. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  46. Valencia, A.M.; Kadoch, C. Chromatin regulatory mechanisms and therapeutic opportunities in cancer. Nat. Cell Biol. 2019, 21, 152–161. [Google Scholar] [CrossRef]
  47. Yin, C.; Ke, X.; Zhang, R.; Hou, J.; Dong, Z.; Wang, F.; Zhang, K.; Zhong, X.; Yang, L.; Cui, H. G9a promotes cell proliferation and suppresses autophagy in gastric cancer by directly activating mTOR. FASEB J. 2019, 33, 14036–14050. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  48. Dong, Z.; Zou, J.; Li, J.; Pang, Y.; Liu, Y.; Deng, C.; Chen, F.; Cui, H. MYST1/KAT8 contributes to tumor progression by activating EGFR signaling in glioblastoma cells. Cancer Med. 2019, 8, 7793–7808. [Google Scholar] [CrossRef] [Green Version]
  49. Dong, Z.; Yang, J.; Li, L.; Tan, L.; Shi, P.; Zhang, J.; Zhong, X.; Ge, L.; Wu, Z.; Cui, H. FOXO3a-SIRT6 axis suppresses aerobic glycolysis in melanoma. Int. J. Oncol. 2020, 56, 728–742. [Google Scholar] [CrossRef] [Green Version]
  50. Dong, Z.; Zhong, X.; Lei, Q.; Chen, F.; Cui, H. Transcriptional activation of SIRT6 via FKHRL1/FOXO3a inhibits the Warburg effect in glioblastoma cells. Cell. Signal. 2019, 60, 100–113. [Google Scholar] [CrossRef]
  51. Yang, L.; Lei, Q.; Li, L.; Yang, J.; Dong, Z.; Cui, H. Silencing or inhibition of H3K79 methyltransferase DOT1L induces cell cycle arrest by epigenetically modulating c-Myc expression in colorectal cancer. Clin. Epigenet. 2019, 11, 199. [Google Scholar] [CrossRef] [Green Version]
  52. Peng, K.; Kou, L.; Yu, L.; Bai, C.; Li, M.; Mo, P.; Li, W.; Yu, C. Histone Demethylase JMJD2D Interacts With β-Catenin to Induce Transcription and Activate Colorectal Cancer Cell Proliferation and Tumor Growth in Mice. Gastroenterology 2019, 156, 1112–1126. [Google Scholar] [CrossRef] [PubMed]
  53. Sun, L.N.; Zhi, Z.; Chen, L.Y.; Zhou, Q.; Li, X.M.; Gan, W.J.; Chen, S.; Yang, M.; Liu, Y.; Shen, T.; et al. SIRT1 suppresses colorectal cancer metastasis by transcriptional repression of miR-15b-5p. Cancer Lett. 2017, 409, 104–115. [Google Scholar] [CrossRef]
  54. Tampakis, A.; Tampaki, E.C.; Nebiker, C.A.; Kouraklis, G. Histone deacetylase inhibitors and colorectal cancer: What is new? Anticancer Agents Med. Chem. 2014, 14, 1220–1227. [Google Scholar] [CrossRef] [PubMed]
  55. Balacescu, O.; Sur, D.; Cainap, C.; Visan, S.; Cruceriu, D.; Manzat-Saplacan, R.; Muresan, M.-S.; Balacescu, L.; Lisencu, C.; Irimie, A. The Impact of miRNA in Colorectal Cancer Progression and Its Liver Metastases. Int. J. Mol. Sci. 2018, 19, 3711. [Google Scholar] [CrossRef] [Green Version]
  56. Deng, J.; Lei, W.; Fu, J.-C.; Zhang, L.; Li, J.-H.; Xiong, J.-P. Targeting miR-21 enhances the sensitivity of human colon cancer HT-29 cells to chemoradiotherapy in vitro. Biochem. Biophys. Res. Commun. 2014, 443, 789–795. [Google Scholar] [CrossRef] [PubMed]
  57. Akçakaya, P.; Ekelund, S.; Kolosenko, I.; Caramuta, S.; Ozata, D.M.; Xie, H.; Lindforss, U.; Olivecrona, H.; Lui, W.-O. miR-185 and miR-133b deregulation is associated with overall survival and metastasis in colorectal cancer. Int. J. Oncol. 2011, 39, 311–318. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  58. Hu, G.; Chen, D.; Li, X.; Yang, K.; Wang, H.; Wu, W. miR-133b regulates the MET proto-oncogene and inhibits the growth of colorectal cancer cells in vitro and in vivo. Cancer Biol. Ther. 2010, 10, 190–197. [Google Scholar] [CrossRef] [Green Version]
  59. Gomes, S.E.; Simões, A.E.S.; Pereira, D.M.; Castro, R.E.; Rodrigues, C.M.P.; Borralho, P.M. miR-143 or miR-145 overexpression increases cetuximab-mediated antibody-dependent cellular cytotoxicity in human colon cancer cells. Oncotarget 2016, 7, 9368–9387. [Google Scholar] [CrossRef] [PubMed]
  60. Wang, L.; Cho, K.B.; Li, Y.; Tao, G.; Xie, Z.; Guo, B. Long Noncoding RNA (lncRNA)-Mediated Competing Endogenous RNA Networks Provide Novel Potential Biomarkers and Therapeutic Targets for Colorectal Cancer. Int. J. Mol. Sci. 2019, 20, 5758. [Google Scholar] [CrossRef] [Green Version]
  61. Zhang, M.; Weng, W.; Zhang, Q.; Wu, Y.; Ni, S.; Tan, C.; Xu, M.; Sun, H.; Liu, C.; Wei, P.; et al. The lncRNA NEAT1 activates Wnt/β-catenin signaling and promotes colorectal cancer progression via interacting with DDX5. J. Hematol. Oncol. 2018, 11, 113. [Google Scholar] [CrossRef] [Green Version]
  62. Xiang, J.F.; Yin, Q.F.; Chen, T.; Zhang, Y.; Zhang, X.O.; Wu, Z.; Zhang, S.; Wang, H.B.; Ge, J.; Lu, X.; et al. Human colorectal cancer-specific CCAT1-L lncRNA regulates long-range chromatin interactions at the MYC locus. Cell Res. 2014, 24, 513–531. [Google Scholar] [CrossRef] [Green Version]
  63. Hussain, A.; Qazi, A.K.; Mupparapu, N.; Guru, S.K.; Kumar, A.; Sharma, P.R.; Singh, S.K.; Singh, P.; Dar, M.J.; Bharate, S.B.; et al. Modulation of glycolysis and lipogenesis by novel PI3K selective molecule represses tumor angiogenesis and decreases colorectal cancer growth. Cancer Lett. 2016, 374, 250–260. [Google Scholar] [CrossRef]
  64. Saunier, E.; Antonio, S.; Regazzetti, A.; Auzeil, N.; Laprévote, O.; Shay, J.W.; Coumoul, X.; Barouki, R.; Benelli, C.; Huc, L.; et al. Resveratrol reverses the Warburg effect by targeting the pyruvate dehydrogenase complex in colon cancer cells. Sci. Rep. 2017, 7, 6945. [Google Scholar] [CrossRef] [Green Version]
  65. Brown, R.E.; Short, S.P.; Williams, C.S. Colorectal Cancer and Metabolism. Curr. Colorectal Cancer Rep. 2018, 14, 226–241. [Google Scholar] [CrossRef] [PubMed]
  66. Neitzel, C.; Demuth, P.; Wittmann, S.; Fahrer, J. Targeting Altered Energy Metabolism in Colorectal Cancer: Oncogenic Reprogramming, the Central Role of the TCA Cycle and Therapeutic Opportunities. Cancers 2020, 12, 1731. [Google Scholar] [CrossRef] [PubMed]
  67. Fang, S.; Fang, X. Advances in glucose metabolism research in colorectal cancer. Biomed. Rep. 2016, 5, 289–295. [Google Scholar] [CrossRef] [PubMed]
  68. Neumann, J.; Zeindl-Eberhart, E.; Kirchner, T.; Jung, A. Frequency and type of KRAS mutations in routine diagnostic analysis of metastatic colorectal cancer. Pathol. Res. Pract. 2009, 205, 858–862. [Google Scholar] [CrossRef]
  69. Ucar, G.; Ergun, Y.; Esen, S.A.; Acikgoz, Y.; Dirikoc, M.; Esen, İ.; Bal, Ö.; Uncu, D. Prognostic and predictive value of KRAS mutation number in metastatic colorectal cancer. Medicine 2020, 99, e22407. [Google Scholar] [CrossRef]
  70. Yun, J.; Rago, C.; Cheong, I.; Pagliarini, R.; Angenendt, P.; Rajagopalan, H.; Schmidt, K.; Willson, J.K.V.; Markowitz, S.; Zhou, S.; et al. Glucose deprivation contributes to the development of KRAS pathway mutations in tumor cells. Science 2009, 325, 1555–1559. [Google Scholar] [CrossRef] [Green Version]
  71. Cao, D.; Hou, M.; Guan, Y.-s.; Jiang, M.; Yang, Y.; Gou, H.-f. Expression of HIF-1alpha and VEGF in colorectal cancer: Association with clinical outcomes and prognostic implications. BMC Cancer 2009, 9, 432. [Google Scholar] [CrossRef] [Green Version]
  72. Olivier, M.; Hollstein, M.; Hainaut, P. TP53 mutations in human cancers: Origins, consequences, and clinical use. Cold Spring Harb. Perspect. Biol. 2010, 2, a001008. [Google Scholar] [CrossRef] [Green Version]
  73. Ma, W.; Sung, H.J.; Park, J.Y.; Matoba, S.; Hwang, P.M. A pivotal role for p53: Balancing aerobic respiration and glycolysis. J. Bioenerg. Biomembr. 2007, 39, 243–246. [Google Scholar] [CrossRef]
  74. Zhang, J.; Pavlova, N.N.; Thompson, C.B. Cancer cell metabolism: The essential role of the nonessential amino acid, glutamine. EMBO J. 2017, 36, 1302–1315. [Google Scholar] [CrossRef] [Green Version]
  75. Xiang, L.; Mou, J.; Shao, B.; Wei, Y.; Liang, H.; Takano, N.; Semenza, G.L.; Xie, G. Glutaminase 1 expression in colorectal cancer cells is induced by hypoxia and required for tumor growth, invasion, and metastatic colonization. Cell Death Dis. 2019, 10, 40. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  76. Gao, P.; Tchernyshyov, I.; Chang, T.-C.; Lee, Y.-S.; Kita, K.; Ochi, T.; Zeller, K.I.; De Marzo, A.M.; Van Eyk, J.E.; Mendell, J.T.; et al. c-Myc suppression of miR-23a/b enhances mitochondrial glutaminase expression and glutamine metabolism. Nature 2009, 458, 762–765. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  77. Xu, X.; Li, J.; Sun, X.; Guo, Y.; Chu, D.; Wei, L.; Li, X.; Yang, G.; Liu, X.; Yao, L.; et al. Tumor suppressor NDRG2 inhibits glycolysis and glutaminolysis in colorectal cancer cells by repressing c-Myc expression. Oncotarget 2015, 6, 26161–26176. [Google Scholar] [CrossRef]
  78. Angius, A.; Uva, P.; Pira, G.; Muroni, M.R.; Sotgiu, G.; Saderi, L.; Uleri, E.; Caocci, M.; Ibba, G.; Cesaraccio, M.R.; et al. Integrated Analysis of miRNA and mRNA Endorses a Twenty miRNAs Signature for Colorectal Carcinoma. Int. J. Mol. Sci. 2019, 20, 4067. [Google Scholar] [CrossRef] [Green Version]
  79. Shiyong, L.; Bo, Y.; Ping, A.; Zhenjia, L.; Shujun, Y. Expression of thymidylate synthase gene and recurrence of colorectal carcinoma: Their relation and clinical significance. Chin. J. Surg. 2000, 38, 60–62. [Google Scholar]
  80. Houqiang, L.; Yinghao, Y. TS gene polymorphisms in gastric cancer and colorectal cancer. World Chin. J. Dig. 2013, 21, 865–872. [Google Scholar]
  81. Menendez, J.A.; Lupu, R. Fatty acid synthase and the lipogenic phenotype in cancer pathogenesis. Nat. Rev. Cancer 2007, 7, 763–777. [Google Scholar] [CrossRef] [PubMed]
  82. Khwairakpam, A.D.; Shyamananda, M.S.; Sailo, B.L.; Rathnakaram, S.R.; Padmavathi, G.; Kotoky, J.; Kunnumakkara, A.B. ATP citrate lyase (ACLY): A promising target for cancer prevention and treatment. Curr. Drug Targets 2015, 16, 156–163. [Google Scholar] [CrossRef]
  83. Zhan, Y.; Ginanni, N.; Tota, M.R.; Wu, M.; Bays, N.W.; Richon, V.M.; Kohl, N.E.; Bachman, E.S.; Strack, P.R.; Krauss, S. Control of cell growth and survival by enzymes of the fatty acid synthesis pathway in HCT-116 colon cancer cells. Clin. Cancer Res. 2008, 14, 5735–5742. [Google Scholar] [CrossRef] [Green Version]
  84. Pira, G.; Uva, P.; Scanu, A.M.; Rocca, P.C.; Murgia, L.; Uleri, E.; Piu, C.; Porcu, A.; Carru, C.; Manca, A.; et al. Landscape of transcriptome variations uncovering known and novel driver events in colorectal carcinoma. Sci. Rep. 2020, 10, 432. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  85. Narayanankutty, A. PI3K/Akt/mTOR Pathway as a Therapeutic Target for Colorectal Cancer: A Review of Preclinical and Clinical Evidence. Curr. Drug Targets 2019, 20, 1217–1226. [Google Scholar] [CrossRef] [PubMed]
  86. Hua, H.; Kong, Q.; Zhang, H.; Wang, J.; Luo, T.; Jiang, Y. Targeting mTOR for cancer therapy. J. Hematol. Oncol. 2019, 12, 71. [Google Scholar] [CrossRef] [PubMed]
  87. Lu, S.C. S-adenosylmethionine. Int. J. Biochem. Cell Biol. 2000, 32, 391–395. [Google Scholar] [CrossRef]
  88. Wong, C.C.; Qian, Y.; Yu, J. Interplay between epigenetics and metabolism in oncogenesis: Mechanisms and therapeutic approaches. Oncogene 2017, 36, 3359–3374. [Google Scholar] [CrossRef]
  89. Lu, S.C.; Mato, J.M. S-adenosylmethionine in liver health, injury, and cancer. Physiol. Rev. 2012, 92, 1515–1542. [Google Scholar] [CrossRef] [Green Version]
  90. Zsigrai, S.; Kalmár, A.; Nagy, Z.B.; Barták, B.K.; Valcz, G.; Szigeti, K.A.; Galamb, O.; Dankó, T.; Sebestyén, A.; Barna, G.; et al. S-adenosylmethionine Treatment of Colorectal Cancer Cell Lines Alters DNA Methylation, DNA Repair and Tumor Progression-Related Gene Expression. Cells 2020, 9, 1864. [Google Scholar] [CrossRef]
  91. Bo, W.; He, J.; Ting, L.T.; Jie, L.; Qing, D.Y. Effects of methylation agent S-adenosyl-l-methionine on the biological behaviors of colorectal cancer cells. Guangdong Med. J. 2011, 32, 3157–3160. [Google Scholar]
  92. Mahmoud, A.M.; Ali, M.M. Methyl Donor Micronutrients that Modify DNA Methylation and Cancer Outcome. Nutrients 2019, 11, 608. [Google Scholar] [CrossRef] [Green Version]
  93. Gao, X.; Sanderson, S.M.; Dai, Z.; Reid, M.A.; Cooper, D.E.; Lu, M.; Richie, J.P.; Ciccarella, A.; Calcagnotto, A.; Mikhael, P.G.; et al. Dietary methionine influences therapy in mouse cancer models and alters human metabolism. Nature 2019, 572, 397–401. [Google Scholar] [CrossRef] [PubMed]
  94. Prinz-Langenohl, R.; Fohr, I.; Pietrzik, K. Beneficial role for folate in the prevention of colorectal and breast cancer. Eur. J. Nutr. 2001, 40, 98–105. [Google Scholar] [CrossRef] [PubMed]
  95. Kim, Y.-I. Folate and DNA Methylation: A Mechanistic Link between Folate Deficiency and Colorectal Cancer? Cancer Epidemiol. Biomark. Prev. 2004, 13, 511–519. [Google Scholar]
  96. Duthie, S.J.; Narayanan, S.; Brand, G.M.; Pirie, L.; Grant, G. Impact of folate deficiency on DNA stability. J. Nutr. 2002, 132, 2444S–2449S. [Google Scholar] [CrossRef] [PubMed]
  97. Duthie, S.J.; Narayanan, S.; Blum, S.; Pirie, L.; Brand, G.M. Folate deficiency in vitro induces uracil misincorporation and DNA hypomethylation and inhibits DNA excision repair in immortalized normal human colon epithelial cells. Nutr. Cancer 2000, 37, 245–251. [Google Scholar] [CrossRef]
  98. Song, J.; Sohn, K.J.; Medline, A.; Ash, C.; Gallinger, S.; Kim, Y.I. Chemopreventive effects of dietary folate on intestinal polyps in Apc+/− Msh2−/− mice. Cancer Res. 2000, 60, 3191–3199. [Google Scholar]
  99. Pietrocola, F.; Galluzzi, L.; Bravo-San Pedro, J.M.; Madeo, F.; Kroemer, G. Acetyl coenzyme A: A central metabolite and second messenger. Cell Metab. 2015, 21, 805–821. [Google Scholar] [CrossRef] [Green Version]
  100. Choudhary, C.; Weinert, B.T.; Nishida, Y.; Verdin, E.; Mann, M. The growing landscape of lysine acetylation links metabolism and cell signalling. Nat. Rev. Mol. Cell Biol. 2014, 15, 536–550. [Google Scholar] [CrossRef]
  101. Shi, L.; Tu, B.P. Acetyl-CoA and the regulation of metabolism: Mechanisms and consequences. Curr. Opin. Cell Biol. 2015, 33, 125–131. [Google Scholar] [CrossRef] [Green Version]
  102. Chao, G.; Sheng-hao, W.; Wen-wei, Z.; Jin-hong, C.; Ming, L.; Lun-xiu, Q. Acetyl-CoA metabolism and cancer metastasis. Electron. J. Metab. Nutr. Cancer 2019, 6, 376–381. [Google Scholar]
  103. Schug, Z.T.; Peck, B.; Jones, D.T.; Zhang, Q.; Grosskurth, S.; Alam, I.S.; Goodwin, L.M.; Smethurst, E.; Mason, S.; Blyth, K.; et al. Acetyl-CoA synthetase 2 promotes acetate utilization and maintains cancer cell growth under metabolic stress. Cancer Cell 2015, 27, 57–71. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  104. Gao, X.; Lin, S.-H.; Ren, F.; Li, J.-T.; Chen, J.-J.; Yao, C.-B.; Yang, H.-B.; Jiang, S.-X.; Yan, G.-Q.; Wang, D.; et al. Acetate functions as an epigenetic metabolite to promote lipid synthesis under hypoxia. Nat. Commun. 2016, 7, 11960. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  105. Sun, X.; Zhu, M.-J. Butyrate Inhibits Indices of Colorectal Carcinogenesis via Enhancing α-Ketoglutarate-Dependent DNA Demethylation of Mismatch Repair Genes. Mol. Nutr. Food Res. 2018, 62, e1700932. [Google Scholar] [CrossRef]
  106. Yun, Y.; Deyu, C. Research progress on acyl-CoA synthetase short chain family member 2 in tumorigenesis and development. J. New Med. 2021, 52, 234–238. [Google Scholar]
  107. Bae, J.M.; Kim, J.H.; Oh, H.J.; Park, H.E.; Lee, T.H.; Cho, N.-Y.; Kang, G.H. Downregulation of acetyl-CoA synthetase 2 is a metabolic hallmark of tumor progression and aggressiveness in colorectal carcinoma. Mod. Pathol. 2017, 30, 267–277. [Google Scholar] [CrossRef] [PubMed]
  108. Chen, Z.; Luo, Y.; Li, L.; Tian, B.; Zheng, L.; Tian, T.; Yu, L.; Liao, X.; Zhan, W. Changes of histone acetylation modification levels in colorectal cancer. Chin. J. Gen. Surg. 2018, 27, 1348–1352. [Google Scholar]
  109. Guruswamy, S.; Swamy, M.V.; Choi, C.-I.; Steele, V.E.; Rao, C.V. S-adenosyl l-methionine inhibits azoxymethane-induced colonic aberrant crypt foci in F344 rats and suppresses human colon cancer Caco-2 cell growth in 3D culture. Int. J. Cancer 2008, 122, 25–30. [Google Scholar] [CrossRef] [PubMed]
  110. Luo, J.; Li, Y.-n.; Geng, X.; Zhang, W.-m. Experimental study on inhibition of colorectal cancer cell growth by S-adenosylmethionine. BME Clin. Med. 2011, 15, 183–186. [Google Scholar]
  111. Xiao, Y.; Su, X.; Huang, W.; Zhang, J.; Peng, C.; Huang, H.; Wu, X.; Huang, H.; Xia, M.; Ling, W. Role of S-adenosylhomocysteine in cardiovascular disease and its potential epigenetic mechanism. Int. J. Biochem. Cell Biol. 2015, 67, 158–166. [Google Scholar] [CrossRef]
  112. Zhou, J.; Yang, L.; Zhong, T.; Mueller, M.; Men, Y.; Zhang, N.; Xie, J.; Giang, K.; Chung, H.; Sun, X.; et al. H19 lncRNA alters DNA methylation genome wide by regulating S-adenosylhomocysteine hydrolase. Nat. Commun. 2015, 6, 10221. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  113. Pascale, R.M.; Simile, M.M.; De Miglio, M.R.; Feo, F. Chemoprevention of hepatocarcinogenesis: S-adenosyl-l-methionine. Alcohol 2002, 27, 193–198. [Google Scholar] [CrossRef]
  114. Garcea, R.; Daino, L.; Pascale, R.; Simile, M.M.; Puddu, M.; Ruggiu, M.E.; Seddaiu, M.A.; Satta, G.; Sequenza, M.J.; Feo, F. Protooncogene methylation and expression in regenerating liver and preneoplastic liver nodules induced in the rat by diethylnitrosamine: Effect of variations of S-adenosylmethionine: S-adenosylhomocysteine ratio. Carcinogenesis 1989, 10, 1183–1192. [Google Scholar] [CrossRef] [PubMed]
  115. Sibani, S.; Melnyk, S.; Pogribny, I.P.; Wang, W.; Hiou-Tim, F.; Deng, L.; Trasler, J.; James, S.J.; Rozen, R. Studies of methionine cycle intermediates (SAM, SAH), DNA methylation and the impact of folate deficiency on tumor numbers in Min mice. Carcinogenesis 2002, 23, 61–65. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  116. Kim, Y.I.; Salomon, R.N.; Graeme-Cook, F.; Choi, S.W.; Smith, D.E.; Dallal, G.E.; Mason, J.B. Dietary folate protects against the development of macroscopic colonic neoplasia in a dose responsive manner in rats. Gut 1996, 39, 732–740. [Google Scholar] [CrossRef] [Green Version]
  117. Baylin, S.B.; Herman, J.G.; Graff, J.R.; Vertino, P.M.; Issa, J.P. Alterations in DNA methylation: A fundamental aspect of neoplasia. Adv. Cancer Res. 1998, 72, 141–196. [Google Scholar]
  118. Schmutte, C.; Yang, A.S.; Nguyen, T.T.; Beart, R.W.; Jones, P.A. Mechanisms for the involvement of DNA methylation in colon carcinogenesis. Cancer Res. 1996, 56, 2375–2381. [Google Scholar]
  119. Lee, S.M.; Koh, H.-J.; Park, D.-C.; Song, B.J.; Huh, T.-L.; Park, J.-W. Cytosolic NADP(+)-dependent isocitrate dehydrogenase status modulates oxidative damage to cells. Free Radic. Biol. Med. 2002, 32, 1185–1196. [Google Scholar] [CrossRef]
  120. Jia, P.; Kuang, X.; Wu, Y.; Sun, L.; Yuan, S. Progress on Relationship Between IDH Gene Mutation and Tumor. Prog. Mod. Biomed. 2019, 27, 1454–1457. [Google Scholar]
  121. Borger, D.R.; Tanabe, K.K.; Fan, K.C.; Lopez, H.U.; Fantin, V.R.; Straley, K.S.; Schenkein, D.P.; Hezel, A.F.; Ancukiewicz, M.; Liebman, H.M.; et al. Frequent mutation of isocitrate dehydrogenase (IDH)1 and IDH2 in cholangiocarcinoma identified through broad-based tumor genotyping. Oncologist 2012, 17, 72–79. [Google Scholar] [CrossRef] [Green Version]
  122. Dang, L.; White, D.W.; Gross, S.; Bennett, B.D.; Bittinger, M.A.; Driggers, E.M.; Fantin, V.R.; Jang, H.G.; Jin, S.; Keenan, M.C.; et al. Cancer-associated IDH1 mutations produce 2-hydroxyglutarate. Nature 2009, 462, 739–744. [Google Scholar] [CrossRef] [Green Version]
  123. Xu, W.; Yang, H.; Liu, Y.; Yang, Y.; Wang, P.; Kim, S.-H.; Ito, S.; Yang, C.; Wang, P.; Xiao, M.-T.; et al. Oncometabolite 2-hydroxyglutarate is a competitive inhibitor of α-ketoglutarate-dependent dioxygenases. Cancer Cell 2011, 19, 17–30. [Google Scholar] [CrossRef] [Green Version]
  124. Lu, C.; Ward, P.S.; Kapoor, G.S.; Rohle, D.; Turcan, S.; Abdel-Wahab, O.; Edwards, C.R.; Khanin, R.; Figueroa, M.E.; Melnick, A.; et al. IDH mutation impairs histone demethylation and results in a block to cell differentiation. Nature 2012, 483, 474–478. [Google Scholar] [CrossRef] [Green Version]
  125. Koivunen, P.; Lee, S.; Duncan, C.G.; Lopez, G.; Lu, G.; Ramkissoon, S.; Losman, J.A.; Joensuu, P.; Bergmann, U.; Gross, S.; et al. Transformation by the (R)-enantiomer of 2-hydroxyglutarate linked to EGLN activation. Nature 2012, 483, 484–488. [Google Scholar] [CrossRef]
  126. Gerecke, C.; Schumacher, F.; Berndzen, A.; Homann, T.; Kleuser, B. Vitamin C in combination with inhibition of mutant IDH1 synergistically activates TET enzymes and epigenetically modulates gene silencing in colon cancer cells. Epigenetics 2020, 15, 307–322. [Google Scholar] [CrossRef] [PubMed]
  127. Ly, C.H.; Lynch, G.S.; Ryall, J.G. A Metabolic Roadmap for Somatic Stem Cell Fate. Cell Metab. 2020, 31, 1052–1067. [Google Scholar] [CrossRef]
  128. Wong, C.C.; Xu, J.; Li, W.; Qian, Y.; Kang, W.; Wu, J.; Sung, J.J.; Yu, J. Slc25A22 Drives Oncometabolite Succinate to Promote Wnt/Β-Catenin Signaling and Cancer Stemness in Kras-Mutant Colorectal Cancer. Gastroenterology 2019, 156, S-188. [Google Scholar] [CrossRef]
  129. Lee, J.V.; Carrer, A.; Shah, S.; Snyder, N.W.; Wei, S.; Venneti, S.; Worth, A.J.; Yuan, Z.-F.; Lim, H.-W.; Liu, S.; et al. Akt-dependent metabolic reprogramming regulates tumor cell histone acetylation. Cell Metab. 2014, 20, 306–319. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  130. Zaidi, N.; Swinnen, J.V.; Smans, K. ATP-citrate lyase: A key player in cancer metabolism. Cancer Res. 2012, 72, 3709–3714. [Google Scholar] [CrossRef] [Green Version]
  131. Wellen, K.E.; Hatzivassiliou, G.; Sachdeva, U.M.; Bui, T.V.; Cross, J.R.; Thompson, C.B. ATP-citrate lyase links cellular metabolism to histone acetylation. Science 2009, 324, 1076–1080. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  132. Seto, E.; Yoshida, M. Erasers of histone acetylation: The histone deacetylase enzymes. Cold Spring Harb. Perspect. Biol. 2014, 6, a018713. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  133. Thangaraju, M.; Carswell, K.N.; Prasad, P.D.; Ganapathy, V. Colon cancer cells maintain low levels of pyruvate to avoid cell death caused by inhibition of HDAC1/HDAC3. Biochem. J. 2009, 417, 379–389. [Google Scholar] [CrossRef] [PubMed]
  134. Li, Q.; Cao, L.; Tian, Y.; Zhang, P.; Ding, C.; Lu, W.; Jia, C.; Shao, C.; Liu, W.; Wang, D.; et al. Butyrate Suppresses the Proliferation of Colorectal Cancer Cells via Targeting Pyruvate Kinase M2 and Metabolic Reprogramming. Mol. Cell. Proteom. 2018, 17, 1531–1545. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  135. Canani, R.B.; Costanzo, M.D.; Leone, L.; Pedata, M.; Meli, R.; Calignano, A. Potential beneficial effects of butyrate in intestinal and extraintestinal diseases. World J. Gastroenterol. 2011, 17, 1519–1528. [Google Scholar] [CrossRef]
  136. Bultman, S.J. Interplay between diet, gut microbiota, epigenetic events, and colorectal cancer. Mol. Nutr. Food Res. 2017, 61. [Google Scholar] [CrossRef] [Green Version]
  137. Donohoe, D.R.; Collins, L.B.; Wali, A.; Bigler, R.; Sun, W.; Bultman, S.J. The Warburg effect dictates the mechanism of butyrate-mediated histone acetylation and cell proliferation. Mol. Cell 2012, 48, 612–626. [Google Scholar] [CrossRef] [Green Version]
  138. Cantó, C.; Menzies, K.J.; Auwerx, J. NAD(+) Metabolism and the Control of Energy Homeostasis: A Balancing Act between Mitochondria and the Nucleus. Cell Metab. 2015, 22, 31–53. [Google Scholar] [CrossRef] [Green Version]
  139. Hong, S.M.; Hwang, S.W.; Wang, T.; Park, C.W.; Ryu, Y.-M.; Jung, J.-H.; Shin, J.H.; Kim, S.-Y.; Lee, J.L.; Kim, C.W.; et al. Increased nicotinamide adenine dinucleotide pool promotes colon cancer progression by suppressing reactive oxygen species level. Cancer Sci. 2019, 110, 629–638. [Google Scholar] [CrossRef] [Green Version]
  140. Brandl, L.; Kirstein, N.; Neumann, J.; Sendelhofert, A.; Vieth, M.; Kirchner, T.; Menssen, A. The c-MYC/NAMPT/SIRT1 feedback loop is activated in early classical and serrated route colorectal cancer and represents a therapeutic target. Med. Oncol. 2018, 36, 5. [Google Scholar] [CrossRef]
  141. Le, A.; Cooper, C.R.; Gouw, A.M.; Dinavahi, R.; Maitra, A.; Deck, L.M.; Royer, R.E.; Vander Jagt, D.L.; Semenza, G.L.; Dang, C.V. Inhibition of lactate dehydrogenase A induces oxidative stress and inhibits tumor progression. Proc. Natl. Acad. Sci. USA 2010, 107, 2037–2042. [Google Scholar] [CrossRef] [Green Version]
  142. Hua, L. Expression of SIRT6 Protein in Colon Cancer and Its Effect on the Biological Behavior of Colon Cancer Cells. Master’s Thesis, Jinzhou Medical University, Jinzhou, China, 2019. [Google Scholar]
  143. Wang, J.; Zhang, M.; Zhang, D.; Fan, Q. Effects of SIRT5 Gene Silencing on Migration and Invasion of Colonic Carcinoma Cells. Mil. Med. J. S Chin. 2017, 31, 225–228. [Google Scholar]
  144. Qin, Y.; Jiang, M.; Feng, J.; Bian, X.; Xu, H. The Emerging Roles of SIRT7 in Tumorigenesis. Prog. Mod. Biomed. 2017, 17, 1964–1967. [Google Scholar]
  145. Wang, B.; Shen, Z.; Ye, Y.; Jiang, K.; Wang, S. SIRT2 expression in colorectal cancer patients with liver metastasis and its clinical significance. Chin. J. Gen. Surg. 2019, 12, 49–52. [Google Scholar]
  146. Huang, G. The Expression of SIRT4 in Gastrointestinal Carcinoma and Its Effect on Human Colorectal Cancer Cell Strains’ Biological Behavior Study. Ph.D. Thesis, Shanghai Jiaotong University, Shanghai, China, 2015. [Google Scholar]
  147. Wei, Z.; Song, J.; Wang, G.; Cui, X.; Zheng, J.; Tang, Y.; Chen, X.; Li, J.; Cui, L.; Liu, C.-Y.; et al. Deacetylation of serine hydroxymethyl-transferase 2 by SIRT3 promotes colorectal carcinogenesis. Nat. Commun. 2018, 9, 4468. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  148. Li, Q.; Wei, P.; Wu, J.; Zhang, M.; Li, G.; Li, Y.; Xu, Y.; Li, X.; Xie, D.; Cai, S.; et al. The FOXC1/FBP1 signaling axis promotes colorectal cancer proliferation by enhancing the Warburg effect. Oncogene 2019, 38, 483–496. [Google Scholar] [CrossRef] [PubMed]
  149. Chen, M.; Zhang, J.; Li, N.; Qian, Z.; Zhu, M.; Li, Q.; Zheng, J.; Wang, X.; Shi, G. Promoter hypermethylation mediated downregulation of FBP1 in human hepatocellular carcinoma and colon cancer. PLoS ONE 2011, 6, e25564. [Google Scholar] [CrossRef]
  150. Desai, S.; Ding, M.; Wang, B.; Lu, Z.; Zhao, Q.; Shaw, K.; Yung, W.K.A.; Weinstein, J.N.; Tan, M.; Yao, J. Tissue-specific isoform switch and DNA hypomethylation of the pyruvate kinase PKM gene in human cancers. Oncotarget 2014, 5, 8202–8210. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  151. Cha, P.-H.; Hwang, J.-H.; Kwak, D.-K.; Koh, E.; Kim, K.-S.; Choi, K.-Y. APC loss induces Warburg effect via increased PKM2 transcription in colorectal cancer. Br. J. Cancer 2021, 124, 634–644. [Google Scholar] [CrossRef]
  152. Katagiri, M.; Karasawa, H.; Takagi, K.; Nakayama, S.; Yabuuchi, S.; Fujishima, F.; Naitoh, T.; Watanabe, M.; Suzuki, T.; Unno, M.; et al. Hexokinase 2 in colorectal cancer: A potent prognostic factor associated with glycolysis, proliferation and migration. Histol. Histopathol. 2017, 32, 351–360. [Google Scholar] [CrossRef]
  153. Wolf, A.; Agnihotri, S.; Munoz, D.; Guha, A. Developmental profile and regulation of the glycolytic enzyme hexokinase 2 in normal brain and glioblastoma multiforme. Neurobiol. Dis. 2011, 44, 84–91. [Google Scholar] [CrossRef]
  154. Zhang, Z.J.; Zhang, Y.H.; Qin, X.J.; Wang, Y.X.; Fu, J. Circular RNA circDENND4C facilitates proliferation, migration and glycolysis of colorectal cancer cells through miR-760/GLUT1 axis. Eur. Rev. Med. Pharmacol. Sci. 2020, 24, 2387–2400. [Google Scholar] [CrossRef]
  155. Du, L.; Duan, W.; Jiang, X.; Zhao, L.; Li, J.; Wang, R.; Yan, S.; Xie, Y.; Yan, K.; Wang, Q.; et al. Cell-free lncRNA expression signatures in urine serve as novel non-invasive biomarkers for diagnosis and recurrence prediction of bladder cancer. J. Cell. Mol. Med. 2018, 22, 2838–2845. [Google Scholar] [CrossRef] [PubMed]
  156. Xu, W.; Zhang, Z.; Zou, K.; Cheng, Y.; Yang, M.; Chen, H.; Wang, H.; Zhao, J.; Chen, P.; He, L.; et al. MiR-1 suppresses tumor cell proliferation in colorectal cancer by inhibition of Smad3-mediated tumor glycolysis. Cell Death Dis. 2017, 8, e2761. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  157. Gregersen, L.H.; Jacobsen, A.; Frankel, L.B.; Wen, J.; Krogh, A.; Lund, A.H. MicroRNA-143 down-regulates Hexokinase 2 in colon cancer cells. BMC Cancer 2012, 12, 232. [Google Scholar] [CrossRef] [Green Version]
  158. Taniguchi, K.; Sakai, M.; Sugito, N.; Kumazaki, M.; Shinohara, H.; Yamada, N.; Nakayama, T.; Ueda, H.; Nakagawa, Y.; Ito, Y.; et al. PTBP1-associated microRNA-1 and -133b suppress the Warburg effect in colorectal tumors. Oncotarget 2016, 7, 18940–18952. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  159. Liang, Y.; Hou, L.; Li, L.; Li, L.; Zhu, L.; Wang, Y.; Huang, X.; Hou, Y.; Zhu, D.; Zou, H.; et al. Dichloroacetate restores colorectal cancer chemosensitivity through the p53/miR-149-3p/PDK2-mediated glucose metabolic pathway. Oncogene 2020, 39, 469–485. [Google Scholar] [CrossRef]
  160. Zhang, D.; Yang, N. MiR-335-5p Inhibits Cell Proliferation, Migration and Invasion in Colorectal Cancer through Downregulating LDHB. J. BUON 2019, 24, 1128–1136. [Google Scholar] [PubMed]
  161. Wang, J.; Wang, H.; Liu, A.; Fang, C.; Hao, J.; Wang, Z. Lactate dehydrogenase A negatively regulated by miRNAs promotes aerobic glycolysis and is increased in colorectal cancer. Oncotarget 2015, 6, 19456–19468. [Google Scholar] [CrossRef]
  162. Lan, Z.; Yao, X.; Sun, K.; Li, A.; Liu, S.; Wang, X. The Interaction Between lncRNA SNHG6 and hnRNPA1 Contributes to the Growth of Colorectal Cancer by Enhancing Aerobic Glycolysis Through the Regulation of Alternative Splicing of PKM. Front. Oncol. 2020, 10, 363. [Google Scholar] [CrossRef]
  163. Bian, Z.; Zhang, J.; Li, M.; Feng, Y.; Wang, X.; Zhang, J.; Yao, S.; Jin, G.; Du, J.; Han, W.; et al. LncRNA-FEZF1-AS1 Promotes Tumor Proliferation and Metastasis in Colorectal Cancer by Regulating PKM2 Signaling. Clin. Cancer Res. Off. J. Am. Assoc. Cancer Res. 2018, 24, 4808–4819. [Google Scholar] [CrossRef] [Green Version]
  164. Chen, C.; Wei, M.; Wang, C.; Sun, D.; Liu, P.; Zhong, X.; Yu, W. Long noncoding RNA KCNQ1OT1 promotes colorectal carcinogenesis by enhancing aerobic glycolysis via hexokinase-2. Aging (Albany NY) 2020, 12, 11685–11697. [Google Scholar] [CrossRef] [PubMed]
  165. Li, C.; Wang, P.; Du, J.; Chen, J.; Liu, W.; Ye, K. LncRNA RAD51-AS1/miR-29b/c-3p/NDRG2 crosstalk repressed proliferation, invasion and glycolysis of colorectal cancer. IUBMB Life 2021, 73, 286–298. [Google Scholar] [CrossRef] [PubMed]
  166. Yan, T.; Shen, C.; Jiang, P.; Yu, C.; Guo, F.; Tian, X.; Zhu, X.; Lu, S.; Han, B.; Zhong, M.; et al. Risk SNP-induced lncRNA-SLCC1 drives colorectal cancer through activating glycolysis signaling. Signal Transduct. Target. 2021, 6, 70. [Google Scholar] [CrossRef] [PubMed]
  167. Goel, A.; Arnold, C.N.; Niedzwiecki, D.; Carethers, J.M.; Dowell, J.M.; Wasserman, L.; Compton, C.; Mayer, R.J.; Bertagnolli, M.M.; Boland, C.R. Frequent inactivation of PTEN by promoter hypermethylation in microsatellite instability-high sporadic colorectal cancers. Cancer Res. 2004, 64, 3014–3021. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  168. Trojan, J.; Brieger, A.; Raedle, J.; Esteller, M.; Zeuzem, S. 5′-CpG island methylation of the LKB1/STK11 promoter and allelic loss at chromosome 19p13.3 in sporadic colorectal cancer. Gut 2000, 47, 272–276. [Google Scholar] [CrossRef] [Green Version]
  169. Rawluszko, A.A.; Bujnicka, K.E.; Horbacka, K.; Krokowicz, P.; Jagodziński, P.P. Expression and DNA methylation levels of prolyl hydroxylases PHD1, PHD2, PHD3 and asparaginyl hydroxylase FIH in colorectal cancer. BMC Cancer 2013, 13, 526. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  170. Fu, L.; Chen, L.; Yang, J.; Ye, T.; Chen, Y.; Fang, J. HIF-1α-induced histone demethylase JMJD2B contributes to the malignant phenotype of colorectal cancer cells via an epigenetic mechanism. Carcinogenesis 2012, 33, 1664–1673. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  171. Feng, W.; Cui, G.; Tang, C.-W.; Zhang, X.-L.; Dai, C.; Xu, Y.-Q.; Gong, H.; Xue, T.; Guo, H.-H.; Bao, Y. Role of glucose metabolism related gene GLUT1 in the occurrence and prognosis of colorectal cancer. Oncotarget 2017, 8, 56850–56857. [Google Scholar] [CrossRef] [PubMed]
  172. Lopez-Serra, P.; Marcilla, M.; Villanueva, A.; Ramos-Fernandez, A.; Palau, A.; Leal, L.; Wahi, J.E.; Setien-Baranda, F.; Szczesna, K.; Moutinho, C.; et al. A DERL3-associated defect in the degradation of SLC2A1 mediates the Warburg effect. Nat. Commun. 2014, 5, 3608. [Google Scholar] [CrossRef] [Green Version]
  173. Shang, Y.; Chen, H.; Ye, J.; Wei, X.; Liu, S.; Wang, R. HIF-1α/Ascl2/miR-200b regulatory feedback circuit modulated the epithelial-mesenchymal transition (EMT) in colorectal cancer cells. Exp. Cell Res. 2017, 360, 243–256. [Google Scholar] [CrossRef]
  174. Chen, T.; Yao, L.-Q.; Shi, Q.; Ren, Z.; Ye, L.-C.; Xu, J.-M.; Zhou, P.-H.; Zhong, Y.-S. MicroRNA-31 contributes to colorectal cancer development by targeting factor inhibiting HIF-1α (FIH-1). Cancer Biol. 2014, 15, 516–523. [Google Scholar] [CrossRef] [Green Version]
  175. Zhang, R.; Zhao, J.; Xu, J.; Wang, J.; Jia, J. miR-526b-3p functions as a tumor suppressor in colon cancer by regulating HIF-1α. Am. J. Transl. Res. 2016, 8, 2783–2789. [Google Scholar]
  176. Yang, L.G.; Cao, M.Z.; Zhang, J.; Li, X.Y.; Sun, Q.L. LncRNA XIST modulates HIF-1A/AXL signaling pathway by inhibiting miR-93-5p in colorectal cancer. Mol. Genet. Genom. Med. 2020, 8, e1112. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  177. Zhang, X.; Shi, H.; Tang, H.; Fang, Z.; Wang, J.; Cui, S. miR-218 inhibits the invasion and migration of colon cancer cells by targeting the PI3K/Akt/mTOR signaling pathway. Int. J. Mol. Med. 2015, 35, 1301–1308. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  178. Dai, G.; Yao, X.; Zhang, Y.; Gu, J.; Geng, Y.; Xue, F.; Zhang, J. Colorectal cancer cell-derived exosomes containing miR-10b regulate fibroblast cells via the PI3K/Akt pathway. Bull. Cancer 2018, 105, 336–349. [Google Scholar] [CrossRef]
  179. Tang, J.; Yan, T.; Bao, Y.; Shen, C.; Yu, C.; Zhu, X.; Tian, X.; Guo, F.; Liang, Q.; Liu, Q.; et al. LncRNA GLCC1 promotes colorectal carcinogenesis and glucose metabolism by stabilizing c-Myc. Nat. Commun. 2019, 10, 3499. [Google Scholar] [CrossRef]
  180. Feng, J.; Ma, J.; Liu, S.; Wang, J.; Chen, Y. A noncoding RNA LINC00504 interacts with c-Myc to regulate tumor metabolism in colon cancer. J. Cell Biochem. 2019, 120, 14725–14734. [Google Scholar] [CrossRef] [PubMed]
  181. Wang, Y.; Lu, J.H.; Wu, Q.N.; Jin, Y.; Wang, D.S.; Chen, Y.X.; Liu, J.; Luo, X.J.; Meng, Q.; Pu, H.Y.; et al. LncRNA LINRIS stabilizes IGF2BP2 and promotes the aerobic glycolysis in colorectal cancer. Mol. Cancer 2019, 18, 174. [Google Scholar] [CrossRef] [Green Version]
  182. Zhang, Z.; Yang, W.; Li, N.; Chen, X.; Ma, F.; Yang, J.; Zhang, Y.; Chai, X.; Zhang, B.; Hou, X.; et al. LncRNA MCF2L-AS1 aggravates proliferation, invasion and glycolysis of colorectal cancer cells via the crosstalk with miR-874-3p/FOXM1 signaling axis. Carcinogenesis 2021, 42, 263–271. [Google Scholar] [CrossRef] [PubMed]
  183. Li, S.; Zhu, K.; Liu, L.; Gu, J.; Niu, H.; Guo, J. lncARSR sponges miR-34a-5p to promote colorectal cancer invasion and metastasis via hexokinase-1-mediated glycolysis. Cancer Sci. 2020, 111, 3938–3952. [Google Scholar] [CrossRef]
  184. Wang, X.; Zhang, H.; Yang, H.; Bai, M.; Ning, T.; Deng, T.; Liu, R.; Fan, Q.; Zhu, K.; Li, J.; et al. Exosome-delivered circRNA promotes glycolysis to induce chemoresistance through the miR-122-PKM2 axis in colorectal cancer. Mol. Oncol. 2020, 14, 539–555. [Google Scholar] [CrossRef] [PubMed]
  185. Guo, X.; Zhang, Y.; Liu, L.; Yang, W.; Zhang, Q. HNF1A-AS1 Regulates Cell Migration, Invasion and Glycolysis via Modulating miR-124/MYO6 in Colorectal Cancer Cells. OncoTargets Ther. 2020, 13, 1507–1518. [Google Scholar] [CrossRef] [Green Version]
  186. Liu, Y.; Li, H.; Ye, X.; Ji, A.; Fu, X.; Wu, H.; Zeng, X. Hsa_circ_0000231 knockdown inhibits the glycolysis and progression of colorectal cancer cells by regulating miR-502-5p/MYO6 axis. World J. Surg. Oncol. 2020, 18, 255. [Google Scholar] [CrossRef]
  187. Li, Z.; Yao, H.; Wang, S.; Li, G.; Gu, X. CircTADA2A suppresses the progression of colorectal cancer via miR-374a-3p/KLF14 axis. J. Exp. Clin. Cancer Res. 2020, 39, 160. [Google Scholar] [CrossRef] [PubMed]
  188. Liu, X.-S.; Little, J.B.; Yuan, Z.-M. Glycolytic metabolism influences global chromatin structure. Oncotarget 2015, 6, 4214–4225. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  189. Sun, Y.; Liu, Z.; Zou, X.; Lan, Y.; Sun, X.; Wang, X.; Zhao, S.; Jiang, C.; Liu, H. Mechanisms underlying 3-bromopyruvate-induced cell death in colon cancer. J. Bioenerg. Biomembr. 2015, 47, 319–329. [Google Scholar] [CrossRef] [Green Version]
  190. Li, J.; Song, P.; Zhu, L.; Aziz, N.; Zhou, Q.; Zhang, Y.; Xu, W.; Feng, L.; Chen, D.; Wang, X.; et al. Synthetic lethality of glutaminolysis inhibition, autophagy inactivation and asparagine depletion in colon cancer. Oncotarget 2017, 8, 42664–42672. [Google Scholar] [CrossRef] [Green Version]
  191. Glazer, R.I.; Knode, M.C.; Tseng, C.K.; Haines, D.R.; Marquez, V.E. 3-Deazaneplanocin A: A new inhibitor of S-adenosylhomocysteine synthesis and its effects in human colon carcinoma cells. Biochem. Pharm. 1986, 35, 4523–4527. [Google Scholar] [CrossRef] [Green Version]
  192. Li, S.; Han, Z.; Zhao, N.; Zhu, B.; Zhang, Q.; Yang, X.; Sheng, D.; Hou, J.; Guo, S.; Wei, L.; et al. Inhibition of DNMT suppresses the stemness of colorectal cancer cells through down-regulating Wnt signaling pathway. Cell. Signal. 2018, 47, 79–87. [Google Scholar] [CrossRef] [PubMed]
  193. Cheng, J.C.; Yoo, C.B.; Weisenberger, D.J.; Chuang, J.; Wozniak, C.; Liang, G.; Marquez, V.E.; Greer, S.; Orntoft, T.F.; Thykjaer, T.; et al. Preferential response of cancer cells to zebularine. Cancer Cell 2004, 6, 151–158. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  194. Liu, L.; Chen, B.; Qin, S.; Li, S.; He, X.; Qiu, S.; Zhao, W.; Zhao, H. A novel histone deacetylase inhibitor Chidamide induces apoptosis of human colon cancer cells. Biochem. Biophys. Res. Commun. 2010, 392, 190–195. [Google Scholar] [CrossRef] [PubMed]
  195. Beck, H.C.; Petersen, J.; Nielsen, S.J.; Morsczeck, C.; Morszeck, C.; Jensen, P.B.; Sehested, M.; Grauslund, M. Proteomic profiling of human colon cancer cells treated with the histone deacetylase inhibitor belinostat. Electrophoresis 2010, 31, 2714–2721. [Google Scholar] [CrossRef] [PubMed]
  196. Zhu, P.; Martin, E.; Mengwasser, J.; Schlag, P.; Janssen, K.-P.; Göttlicher, M. Induction of HDAC2 expression upon loss of APC in colorectal tumorigenesis. Cancer Cell 2004, 5, 455–463. [Google Scholar] [CrossRef] [Green Version]
  197. Ueno, T.; Endo, S.; Saito, R.; Hirose, M.; Hirai, S.; Suzuki, H.; Yamato, K.; Hyodo, I. The sirtuin inhibitor tenovin-6 upregulates death receptor 5 and enhances cytotoxic effects of 5-fluorouracil and oxaliplatin in colon cancer cells. Oncol. Res. 2013, 21, 155–164. [Google Scholar] [CrossRef] [Green Version]
  198. Feldman, J.L.; Baeza, J.; Denu, J.M. Activation of the protein deacetylase SIRT6 by long-chain fatty acids and widespread deacylation by mammalian sirtuins. J. Biol. Chem. 2013, 288, 31350–31356. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  199. Tian, Y.; Xu, J.; Li, Y.; Zhao, R.; Du, S.; Lv, C.; Wu, W.; Liu, R.; Sheng, X.; Song, Y.; et al. MicroRNA-31 Reduces Inflammatory Signaling and Promotes Regeneration in Colon Epithelium, and Delivery of Mimics in Microspheres Reduces Colitis in Mice. Gastroenterology 2019, 156, 2281–2296. [Google Scholar] [CrossRef]
  200. Zhang, Y.; Ma, L.N.; Xie, Y. MiRNA-802 inhibits the metastasis of colorectal cancer by targeting FOXE1. Eur. Rev. Med. Pharm. Sci. 2020, 24, 1778–1785. [Google Scholar] [CrossRef]
  201. Valeri, N.; Braconi, C.; Gasparini, P.; Murgia, C.; Lampis, A.; Paulus-Hock, V.; Hart, J.R.; Ueno, L.; Grivennikov, S.I.; Lovat, F.; et al. MicroRNA-135b promotes cancer progression by acting as a downstream effector of oncogenic pathways in colon cancer. Cancer Cell 2014, 25, 469–483. [Google Scholar] [CrossRef] [Green Version]
  202. Jüttermann, R.; Li, E.; Jaenisch, R. Toxicity of 5-aza-2′-deoxycytidine to mammalian cells is mediated primarily by covalent trapping of DNA methyltransferase rather than DNA demethylation. Proc. Natl. Acad. Sci. USA 1994, 91, 11797–11801. [Google Scholar] [CrossRef] [Green Version]
  203. Farooqi, A.S.; Hong, J.Y.; Cao, J.; Lu, X.; Price, I.R.; Zhao, Q.; Kosciuk, T.; Yang, M.; Bai, J.J.; Lin, H. Novel Lysine-Based Thioureas as Mechanism-Based Inhibitors of Sirtuin 2 (SIRT2) with Anticancer Activity in a Colorectal Cancer Murine Model. J. Med. Chem. 2019, 62, 4131–4141. [Google Scholar] [CrossRef]
  204. Dong, Z.; Cui, H. Function of Sirtuins in Cancer Stem Cells. Int. J. Stem Cell Res. Ther. 2016, 3, 24. [Google Scholar] [CrossRef]
  205. van Rooij, E.; Kauppinen, S. Development of microRNA therapeutics is coming of age. EMBO Mol. Med. 2014, 6, 851–864. [Google Scholar] [CrossRef] [PubMed]
  206. Garzon, R.; Marcucci, G.; Croce, C.M. Targeting microRNAs in cancer: Rationale, strategies and challenges. Nat. Rev. Drug Discov. 2010, 9, 775–789. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  207. Hosseinahli, N.; Aghapour, M.; Duijf, P.H.G.; Baradaran, B. Treating cancer with microRNA replacement therapy: A literature review. J. Cell. Physiol. 2018, 233, 5574–5588. [Google Scholar] [CrossRef] [PubMed]
  208. Na, Y.-S.; Jung, K.-A.; Kim, S.-M.; Hong, Y.S.; Ryu, M.-H.; Jang, S.J.; Moon, D.H.; Cho, D.-H.; Kim, J.C.; Lee, J.S.; et al. The histone deacetylase inhibitor PXD101 increases the efficacy of irinotecan in in vitro and in vivo colon cancer models. Cancer Chemother. Pharm. 2011, 68, 389–398. [Google Scholar] [CrossRef] [PubMed]
  209. Mologni, L.; Cleris, L.; Magistroni, V.; Piazza, R.; Boschelli, F.; Formelli, F.; Gambacorti-Passerini, C. Valproic acid enhances bosutinib cytotoxicity in colon cancer cells. Int. J. Cancer 2009, 124, 1990–1996. [Google Scholar] [CrossRef]
  210. Raskov, H.; Søby, J.H.; Troelsen, J.; Bojesen, R.D.; Gögenur, I. Driver Gene Mutations and Epigenetics in Colorectal Cancer. Ann. Surg. 2020, 271, 75–85. [Google Scholar] [CrossRef]
  211. Xiao, Z.; Dai, Z.; Locasale, J.W. Metabolic landscape of the tumor microenvironment at single cell resolution. Nat. Commun. 2019, 10, 3763. [Google Scholar] [CrossRef]
  212. Devarasetty, M.; Skardal, A.; Cowdrick, K.; Marini, F.; Soker, S. Bioengineered Submucosal Organoids for In Vitro Modeling of Colorectal Cancer. Tissue Eng. Part A 2017, 23, 1026–1041. [Google Scholar] [CrossRef]
Figure 1. Mode of actions of metabolites modulating epigenetics in colorectal cancer.
Figure 1. Mode of actions of metabolites modulating epigenetics in colorectal cancer.
Biomolecules 11 01406 g001
Figure 2. Mode of actions of epigenetics regulating metabolites in colorectal cancer.
Figure 2. Mode of actions of epigenetics regulating metabolites in colorectal cancer.
Biomolecules 11 01406 g002
Table 1. Drugs targeting cellular metabolism in CRC.
Table 1. Drugs targeting cellular metabolism in CRC.
InhibitorTarget EnzymeMode of ActionOngoing Clinical Use/TrialsRef.
2-Deoxyglucose (2-DG)HexokinasesIt has a structure similar to glucose and can competitively bind to HK2 with glucose; it can also inhibit acetyl-CoA and increase the activity of HDACsPhase I/II for prostate cancer,
Phase I dose escalation trial
[188]
3-Bromopyruvate (3-BrPA)HexokinasesIt can inhibit the activity of HK2, thereby inhibiting the production of ATP and inducing the death of CRC cellsNA[189]
Compound 968GlutaminasesIt can inhibit the recombinant expression of GLS1 and combine with inactivated GLS to prevent GLS1 activationNA[190]
3-deazaneplanocin A (DZNep)SAH hydrolaseIt suppresses DNA and histone methylation by reducing the SAM/SAH ratio in CRCNA[191]
Table 2. Drugs targeting epigenetics in CRC.
Table 2. Drugs targeting epigenetics in CRC.
InhibitorTarget EnzymeMode of ActionOngoing Clinical Use/TrialsRef.
DNMT inhibitors
5-Azacytidine, 5-Aza-2′-deoxycytidine, ZebularineDNA methyltransferasesThe first two drugs inactivate DNMTs non-selectively. Unlike the first two, zebularine has much smaller side effects and shows high selectivity in inhibiting DNMTs5-Azacytidine (Phase I–III for various malignant tumors; Phase II for metastatic CRC),
5-Aza-2′-deoxycytidine (Phase I–III for various malignant tumors; Phase I for liver metastatic CRC;)
[192,193]
HDAC inhibitors
Chidamide, Belinostat, Valproic acidHistone deacetylasesHDAC inhibitors can induce histone acetylation and reverse the abnormal gene expression caused by HDACsChidamide, Valproic acid (Phase I–III for various malignant tumors; Phase II for metastatic CRC),
Belinostat (Phase I/II for various malignant tumors; Phase I for CRC)
[194,195,196]
SIRT activators and inhibitors
Tenovin-6SIRT1, SIRT2It inhibits the protein deacetylation activity of SIRT1 and SIRT2NA[197]
Myristic acid, Oleic acid, Linoleic acidSIRT6Free fatty acids activate SIRT6, which functions as a
tumor suppressor to inhibit glycolysis
NA[198]
miRNA modulators
miRNA mimics, miRNAs in encoding expression vectorsmiRNAsThey can effectively restore the functions of these “lost” miRNAs. For example, restoring the down-regulated expression of miR-31 can inhibit the proliferation, migration and invasion of CRC cells.miR-16 mimic (Phase I for non-small cell lung cancer)[160,199,200]
Antisense nucleotides, miRNA spongesmiRNAsThey can inhibit miRNAs that are overexpressed in tumors. For example, specific inhibition of miR-135b can inhibit the proliferation, migration and induce apoptosis of CRC cells.NA[201]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Zhang, X.; Dong, Z.; Cui, H. Interplay between Epigenetics and Cellular Metabolism in Colorectal Cancer. Biomolecules 2021, 11, 1406. https://doi.org/10.3390/biom11101406

AMA Style

Zhang X, Dong Z, Cui H. Interplay between Epigenetics and Cellular Metabolism in Colorectal Cancer. Biomolecules. 2021; 11(10):1406. https://doi.org/10.3390/biom11101406

Chicago/Turabian Style

Zhang, Xiaolin, Zhen Dong, and Hongjuan Cui. 2021. "Interplay between Epigenetics and Cellular Metabolism in Colorectal Cancer" Biomolecules 11, no. 10: 1406. https://doi.org/10.3390/biom11101406

APA Style

Zhang, X., Dong, Z., & Cui, H. (2021). Interplay between Epigenetics and Cellular Metabolism in Colorectal Cancer. Biomolecules, 11(10), 1406. https://doi.org/10.3390/biom11101406

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop