Next Article in Journal
Integrative RNA-Seq and TCGA-BRCA Analyses Highlight the Role of LINC01133 in Triple-Negative Breast Cancer
Next Article in Special Issue
New SPRi Biosensors for Simultaneous Detection of Tau Protein Isoforms—The Importance of the Ptau181/Total Tau Ratio in Alzheimer’s Disease
Previous Article in Journal
Bioartificial Cardiac Patches Functionalized with Apelin-13 Increase Cardiac C-Type Natriuretic Peptide Expression in Infarcted Rats
Previous Article in Special Issue
Alzheimer’s Disease-Associated Molecular Abnormalities in White Matter Glia and Related Pathologies Detected in Unfractionated and O4-Selected Serum Exosomes Using a Liquid Biopsy Approach
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Diet-Driven Epigenetic Alterations in Colorectal Cancer: From DNA Methylation and microRNA Expression to Liquid Biopsy Readouts

by
Theodora Chindea
1,
Alina-Teodora Nicu
1,*,
Gheorghe Dănuț Cimponeriu
1,*,
Bianca Galateanu
1,
Ariana Hudita
1,
Mirela Violeta Șerban
1,
Remus Iulian Nica
2,3,† and
Liliana Burlibasa
1,†
1
Faculty of Biology, University of Bucharest, 050663 Bucharest, Romania
2
Faculty of Midwifery and Nursing, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania
3
“Dr. Carol Davila” Central Military Emergency University Hospital, 010825 Bucharest, Romania
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Biomedicines 2026, 14(2), 267; https://doi.org/10.3390/biomedicines14020267
Submission received: 15 December 2025 / Revised: 8 January 2026 / Accepted: 22 January 2026 / Published: 24 January 2026

Abstract

The escalating incidence of colorectal cancer (CRC), particularly the alarming rise in early-onset cases, necessitates a paradigm shift from a purely genetic perspective to a broader investigation of promising pathways. This review explores the “nutri-epigenetic” interface, positioning liquid biopsy as a critical technology for translating dietary impacts into actionable clinical biomarkers. We contrast the molecular consequences of the Western dietary pattern, characterized by methyl-donor deficiency and pro-inflammatory metabolites, with the protective mechanisms of the Mediterranean diet. Mechanistically, we detail how Western-style diets drive a specific “epigenetic double-hit”: promoting global DNA hypomethylation (destabilizing LINE-1) while paradoxically inducing promoter hypermethylation of critical tumour suppressors (MLH1, APC, MGMT) and silencing tumour-suppressive microRNAs (miR-34b/c, miR-137) via methylation of their encoding genes. Conversely, we highlight the capacity of Mediterranean bioactive compounds (e.g., resveratrol, curcumin, butyrate) to inhibit DNA methyltransferases and restore epigenetic homeostasis. Bridging molecular biology and clinical utility, we demonstrate how these diet-sensitive signatures, specifically circulating methylated DNA and dysregulated microRNAs, can be captured via liquid biopsy. We propose that these circulating analytes serve as dynamic, accessible biomarkers for monitoring the molecular progression toward a carcinogenic state, thereby establishing a novel framework for personalized risk stratification and validating the efficacy of preventive nutritional strategies.

1. Introduction

In the 21st century, colorectal cancer (CRC) remains one of the most prevalent and lethal malignancies worldwide. According to Bray et al. 2024, approximately 1.93 million new cases and 904,000 deaths were attributed to CRC, maintaining its status as the third most common cancer and the second leading cause of cancer-related death globally [1]. Europe bears one of the heaviest burdens, accounting for 22.4% of global cancer cases and 20.4% of deaths despite having only 9.6% of the global population [1,2]. Although the notable improvements in screening and therapeutic approaches are undeniable, incidence and mortality remain substantial, and both are projected to increase further in the coming decades, driven by population aging and demographic growth [3,4]. Acknowledging the heterogeneity of European populations is crucial, as CRC-related mortality in 2021 showed marked geographic variability, ranging from 3.4% of all deaths in Croatia and 3.3% in Spain, to as low as 1.3–1.9% in Turkey, Bulgaria, Romania, Cyprus, Latvia, and Greece [1,2,4,5,6].
Santucci et al. projected that, across the European Union, age-standardized mortality rates for colorectal cancer would decline in 2024 compared to 2018, by approximately 6.5% in men and 4.3% in women [7]. Current data largely supports this downward trajectory in older populations, though it contrasts sharply with the rising mortality observed in early-onset cases [1,7].
Traditionally and canonically considered a disease of old age, CRC has shown a worrying rise among younger individuals (i.e., under 50 years of age) in recent years, particularly since the mid-1990s. This occurrence is now termed early-onset colorectal cancer (eoCRC) [8]. Data from the United States highlights the severity of this shift: CRC has risen to become the leading cause of cancer death in men under 50 and the second leading cause in women [8]. In several high-income regions, particularly Northern Europe and North America, eoCRC incidence has been increasing by 1–3% annually, with some countries reporting even steeper rises for colon cancer (up to 6–9% per year) [3,9,10,11,12]. The causes of this shift are multifactorial, involving both genetic predisposition and dynamic environmental exposure, including unhealthy dietary patterns, obesity, sedentary behaviour, and metabolic disturbances. These factors not only promote inflammation and oxidative stress but may also cause epigenetic changes that speed up the development of cancer at younger ages [13,14,15,16].
Incidence patterns reveal a stark geographic dichotomy: regions with Westernized diets (high in ultra-processed foods and red meats) exhibit the highest rates, whereas Mediterranean populations, traditionally adherent to polyphenol- and fiber-rich diets, have maintained lower disease burdens, though this advantage is eroding as dietary habits shift [9].
This means that understanding the cause of CRC requires looking beyond traditional risk factors to the epigenetic mechanisms that control gene-environment interactions. DNA methylation, carried out by DNA methyltransferases (DNMTs) at CpG islands, represents an essential mechanism in silencing tumour suppressor genes [17]. At the same time, microRNAs (miRNAs) allow fine post-transcriptional control, processed through the canonical Drosha/Dicer pathway. Mature miRNAs direct the RNA-induced Silencing Complex (RISC) to block target messenger RNAs translation or trigger their destruction [17,18].
Notably, these two epigenetic layers are functionally intertwined. A significant proportion of miRNA genes are located within CpG island-rich regions, rendering them susceptible to the same DNA hypermethylation machinery that silences protein-coding genes. This epigenetic silencing of non-coding RNA thus represents a multilayer regulatory interface where environmental stimuli can simultaneously disrupt multiple signalling pathways [19,20,21].
In this narrative review, we will explore the complex interplay between modifiable risk factors, particularly dietary patterns, and the colorectal epigenome. We will present how specific nutrients modulate DNA methylation and microRNA expression, including the methylation of miRNA genes themselves, to provide a comprehensive overview of how lifestyle choices can effectively reprogram the molecular landscape of colorectal cancer.

2. Staging and Classification

The CRC staging framework is based on the TNM (T—primary tumour, N—regional lymph nodes’ status, and M—distant metastases) classification [22].
The World Health Organization’s (WHO’s) classification of colorectal carcinomas presents five categories: (1) adenocarcinoma, (2) adenosquamous carcinoma, (3) squamous cell carcinoma, (4) undifferentiated carcinoma, and (5) spindle cell carcinoma. By far, the most common type of CRC is adenocarcinoma, which accounts for about 90% of all colorectal carcinomas. In contrast, colorectal malignancies such as adenosquamous, squamous cell, or undifferentiated carcinomas have a low incidence, with spindle cell carcinomas being the rarest type [23,24,25,26].
At the molecular level, CRCs can be classified using a gene-expression-based system, the Consensus Molecular Subtypes (CMS), or by other genetic/epigenetic criteria.
The CMS stratification, often called the “gold standard,” consists of CMS1 (immune subtype, approximately 14% of cases), CMS2 (canonical subtype, 37%), CMS3 (metabolic subtype, 13%), and CMS4 (mesenchymal subtype, 23%). Heterogeneous samples with differing characteristics are classified as mixed or indeterminate samples (14%). CMS1 subtype exhibits a strong immune response and widespread hypermethylation, CMS2 subtype is associated with WNT and MYC signalling activation, CMS3 is characterized by metabolic dysregulation and KRAS-activating mutations, while CMS4 manifests an upregulation of the TGFB pathway [27,28].
Tumour genetic and epigenetic profiling highlights three main pathways: chromosomal instability (CIN), microsatellite instability (MSI), and the CpG island methylator phenotype (CIMP). CIN involves large-scale chromosomal gains, losses, and rearrangements, leading to aneuploidy and accounting for most non-hypermutated CRCs. MSI results from defects in the DNA mismatch repair (MMR) system, leading to the accumulation of mutations in microsatellite regions; tumours are further categorized as MSI-high (MSI-H) or MSI-low (MSI-L), with MSI-H tumours often showing better prognosis and response to immunotherapy. CIMP is characterized by widespread promoter hypermethylation, leading to gene silencing, and is frequently associated with MSI-H tumours and specific mutations such as in BRAF [29].
Crucially, contemporary practice routinely assesses driver mutations (KRAS, NRAS, BRAF) and EGFR status, which are pivotal for prognosis and therapeutic stratification [27,28]. Expanded RAS testing is now mandatory for anti-EGFR therapy eligibility, while BRAF V600E mutations signal aggressive disease, often overlapping with the CIMP-high/MSI-H phenotype [16,27]. Integrating these biomarkers, increasingly via liquid biopsy, is essential for refining TNM staging and guiding precision treatment [1,16].
Understanding these molecular classifications is crucial, given that different risk factors, namely dietary ones and specific nutrients, have been shown to differentially impact these pathways, suggesting that dietary intervention may be most effective against particular tumour subtypes (e.g., CIMP-high tumours).

3. Risk Factors

Colorectal cancer is a multifactorial disease shaped by both inherited and acquired alterations, which can be broadly classified into non-modifiable and modifiable risk factors [30,31]. Among the non-modifiable determinants, age, sex, and genetic susceptibility play central roles. The incidence of CRC increases sharply after the age of 50, and men consistently exhibit a higher risk than women [31].
Inherited syndromes, such as familial adenomatous polyposis (FAP) and Lynch syndrome (LS), make up about 5% of all cases, while a positive family history significantly raises individual risk. These conditions result from distinct germline mutations that increase the risk of cancer development via well-understood molecular pathways [30].
Familial adenomatous polyposis (FAP) is an autosomal dominant syndrome primarily driven by inherited heterozygous germline mutations in the Adenomatous Polyposis Coli (APC) tumour suppressor gene [32]. These genetic alterations often manifest as protein-truncating nonsense or frameshift mutations (e.g., p.S1281, p.E1538, or p.V677Sfs*3) that result in a premature termination of translation and loss of protein function [33]. Functional APC acts as a critical negative regulator of the Wnt signalling pathway, while its genetic inactivation leads to the accumulation of β-catenin and the constitutive activation of Wnt signalling, which triggers genomic instability and uncontrolled cell proliferation. This progression aligns with Knudson’s two-hit hypothesis, where the inherited germline mutation serves as the first hit, and polyp formation is initiated following the acquisition of a somatic second hit in the wild-type allele. Notably, the specific location of the germline mutation influences the type of the somatic second hit selected during tumorigenesis and directly correlates with the severity of the clinical phenotype [33,34].
Lynch syndrome (LS), also known as hereditary non-polyposis colorectal cancer (HNPCC), is an autosomal dominant condition caused by pathogenic germline variants in the DNA mismatch repair (MMR) genes MLH1, MSH2, MSH6, and PMS2, or deletions in EPCAM [35]. Among these, MLH1 and MSH2 variants are the most frequent causes of the syndrome [35,36]. A critical feature of the MMR system is the interdependence of protein stability, namely, the MLH1 protein is required to stabilize PMS2 by forming the MutLα heterodimer [36,37]. Consequently, a germline mutation in MLH1 often results in secondary loss of PMS2 protein expression due to proteolytic degradation [37]. This genetic failure leads to the accumulation of uncorrected errors in repetitive DNA sequences, via the loss of mismatch repair capability, resulting in the MSI phenotype characteristic of LS tumours [35].
Emerging evidence also suggests that early-life exposures (e.g., antibiotic use during childhood or pregnancy, gestational diseases, and early introduction of formula feeding) may influence the intestinal microbiome and contribute to the development of early-onset CRC (eoCRC). Mechanistically, early-life dysbiosis reduces the production of key short-chain fatty acids, particularly butyrate, whose absence disrupts epithelial differentiation, promotes low-grade inflammation, and weakens epigenetic homeostasis through loss of HDAC inhibition, collectively creating a pro-tumorigenic microenvironment that predisposes to eoCRC [6,30].
In contrast, modifiable risk factors, which can be influenced through behavioural and policy measures, are key to preventing CRC. Obesity and alcohol consumption are most strongly associated with CRC, whereas physical inactivity, smoking, high consumption of sugary drinks and processed meat, and low intake of fruits and vegetables also contribute to increased risk [30,38]. A broad classification of risk factors is shown in Figure 1.
A meta-analysis by Johnson et al. [39], involving over 66,000 CRC patients, demonstrated that the risk of CRC increases by approximately 29% for every 8 kg/m2 rise in BMI across the entire cohort. Crucially, the analysis revealed a highly significant sex heterogeneity: the risk for colon cancer specifically was 53% greater per 8 kg/m2 in men, but a statistically significant dose–response increase in risk was not found in women [39]. Obesity likely promotes tumorigenesis through insulin resistance, chronic inflammation, oxidative stress, and elevated IGF-1 levels, which stimulate cellular proliferation.
Type 2 diabetes mellitus represents a well-established but under-discussed risk factor for CRC, sharing overlapping metabolic, inflammatory, and epigenetic mechanisms with obesity. Chronic hyperglycaemia and insulin resistance promote oxidative stress, low-grade inflammation, and aberrant DNA methylation patterns. In parallel, diets rich in advanced glycation end products (AGEs), abundant in processed and high-temperature-cooked foods, activate the AGE–RAGE signalling axis, further amplifying NF-κB–driven inflammation and DNMT recruitment [40]. These mechanisms provide a direct link between diabetic metabolic states, Western dietary patterns, epigenetic dysregulation, and colorectal carcinogenesis [41]. Conversely, regular physical activity reduces CRC risk and improves survival, with a clear inverse relationship between exercise intensity and disease incidence [42].
Among these environmental exposures, diet is the most modifiable and potent lever for influencing carcinogenic risk. Consequently, dietary patterns are among the most powerful and actionable determinants of CRC risk. The Western dietary pattern (characterized by high intakes of red and processed meats, refined grains, sweets, high-fat dairy products, low fiber intake, and sugary beverages) has been consistently linked to an increased risk of CRC [43]. This association is attributed to the formation of carcinogenic compounds such as heterocyclic amines, polycyclic aromatic hydrocarbons, and N-nitroso compounds during meat processing and high-temperature cooking, as well as to diet-induced oxidative stress and inflammation.
In contrast, the Mediterranean diet, rich in fruits, vegetables, legumes, whole grains, fish, and olive oil, has been associated with reduced CRC incidence [43,44]. Its protective effects are mediated by a high content of dietary fibers, antioxidants, and anti-inflammatory compounds, which enhance gut motility, support a healthy microbiome, and reduce oxidative DNA damage. Olive oil, the primary lipid source in this dietary pattern, has been shown to induce apoptosis and downregulate pro-tumorigenic proteins such as COX-2 and Bcl-2 [43]. Interestingly, some studies have observed sex-specific differences, with a more pronounced detrimental effect of the Western diet in females and a more substantial protective effect of the Mediterranean diet in males [43,45,46].
Altogether, these observations highlight that while genetic predisposition establishes a foundation of risk, lifestyle, and particularly diet, can profoundly modulate susceptibility through molecular and metabolic pathways. Among these, epigenetic alterations such as DNA methylation and specific microRNA synthesis represent a crucial interface linking environmental exposures to colorectal carcinogenesis, as will be explored in the following sections.

4. Aberrant DNA Methylation in Colorectal Carcinogenesis

The epigenome, unlike the static genome, is a dynamic system highly responsive to environmental stimuli, particularly nutrition. DNA methylation, the addition of a methyl group to the 5-carbon of cytosine residues, acts as a critical regulator of gene expression. In CRC, global hypomethylation often leads to genomic instability, while promoter-specific hypermethylation, at CpG sites, silences key tumour suppressor genes (TSGs). The dichotomy between Western and Mediterranean dietary patterns is strikingly reflected in these epigenetic landscapes [47,48,49,50,51].

4.1. Primary Targets of DNA Methylation in CRC

Before presenting dietary impacts, it becomes essential to understand the molecular targets. Aberrant methylation in CRC frequently silences genes, such as MLH1, APC, p16 (CDKN2A), and MGMT, which are critical for DNA repair and cell cycle control. Promoter hypermethylation of MLH1 (a mismatch repair gene) mimics the germline defects of Lynch syndrome, leading to MSI [52,53,54]. Methylation of APC (a Wnt pathway gatekeeper) allows unchecked β-catenin signalling and is commonly observed in adenomas and early carcinomas [55,56]. Silencing of p16 (CDKN2A) and MGMT disrupts cell cycle checkpoints and DNA repair, respectively [57,58]. The secreted frizzled-related proteins, SFRP1 and SFRP2, normally inhibit Wnt/β-catenin signalling, but promoter hypermethylation silences their expression, leading to pathway activation and uncontrolled proliferation. This epigenetic silencing occurs early in tumorigenesis, making SFRP genes promising early detection biomarkers [59]. The loss of methylation in repetitive elements such as LINE-1 promotes chromosomal instability, which contributes to global hypomethylation, a hallmark of Western diet-associated carcinogenesis [60,61].
Collectively, these gene-specific methylation events serve not only as drivers of carcinogenesis but also as biomarkers of tumour progression and response to dietary and environmental exposures [61,62,63,64,65].
To illustrate the functional consequences of promoter hypermethylation, the MLH1 gene serves as a paradigm in colorectal carcinogenesis. MLH1 is a critical component of the DNA Mismatch Repair (MMR) system, and its inactivation is the predominant cause of sporadic microsatellite instability (MSI) in CRC [66]. In sporadic CRC, particularly in the context of CIMP, the MLH1 promoter region becomes heavily methylated at specific CpG sites. This epigenetic event accounts for the majority of MMR-deficient tumours in the sporadic setting, often co-occurring with the BRAF V600E mutation [67,68].
Mechanistically, this process involves the recruitment of DNA methyltransferases (DNMTs), which catalyse the addition of a methyl group to the cytosine ring. This methylation creates a binding site for Methyl-CpG-binding domain proteins (MBDs), which in turn recruit histone deacetylases (HDACs) and chromatin remodelling factors. The result is a transition from an open, transcriptionally active chromatin state (euchromatin) to a condensed, inactive state (heterochromatin) [69]. This steric hindrance prevents transcription factors from binding to the MLH1 promoter, effectively silencing gene expression. Specifically, methylation accumulates in the proximal promoter regions (often denoted as regions C and D), which correlates strongly with the loss of MLH1 transcription [68].
The clinical consequence is profound: the loss of MLH1 protein leads to a deficiency in repairing DNA replication errors, resulting in the accumulation of mutations in repetitive sequences, a phenomenon known as MSI-High. The loss of MLH1 protein expression is frequently accompanied by the concurrent loss of its heterodimer partner, PMS2 [67]. Thus, a singular epigenetic event (methylation) mimics the effect of a genetic mutation, driving a distinct carcinogenic pathway associated with proximal tumour location and specific histopathological features [67]. The complex interplay between the genomic architecture of the MLH1 promoter and the functional consequences of its epigenetic silencing in sporadic colorectal cancer is visually summarized in Figure 2.
Furthermore, while this mechanism is classically associated with older age of onset, recent evidence suggests that constitutional methylation of the MLH1 promoter (secondary epimutations) can also drive early-onset CRC in patients lacking germline mutations, highlighting a poorly recognized mechanism for Lynch syndrome [66].
This specific example of MLH1 methylation can be extrapolated as a prototypical mechanism for CIMP, defined by the synchronous epigenetic silencing of multiple TSGs. The repressive cascade involving DNMTs and chromatin condensation, as described for MLH1, is functionally conserved across other critical loci, although the downstream consequences vary depending on the targeted pathway. For instance, MGMT promoter hypermethylation functionally mirrors the defect seen with MLH1 loss by compromising DNA repair. MGMT silencing also fosters genomic instability, often occurring concurrently within CIMP [70].
Moreover, this epigenetic strategy extends to cell cycle regulators, such as RASSF1A and the Wnt pathway gatekeeper APC. While APC is classically inactivated by somatic mutation in the traditional chromosomal instability (CIN) pathway, its silencing via promoter methylation in sporadic cases achieves the same functional endpoint: unchecked Wnt/β-catenin signalling. Thus, the tumour utilizes a singular epigenetic mechanism, promoter hypermethylation, to systematically dismantle diverse protective barriers, ranging from DNA repair (MLH1, MGMT) to cell cycle control (RASSF1A, APC), thereby driving the multifaceted progression of colorectal carcinogenesis [71,72].

4.2. The Mediterranean Diet: Epigenetic Restoration via Methyl Donors and Bioactive Compounds

The Mediterranean Diet (MD) is distinguished by a nutritional profile abundant in plant-based foods, healthy fats, and diverse bioactive compounds. Characterized by the high consumption of fruits, vegetables, legumes, whole grains, and olive oil, along with moderate intake of fish, this dietary pattern serves as a potent reservoir of essential micronutrients and phytochemicals [73]. Specifically, it ensures a robust supply of B-complex vitamins, including folate, riboflavin, pyridoxine, cobalamin, and essential trace elements such as selenium [61]. Beyond these micronutrients, the MD is defined by its rich content of polyphenols, including resveratrol, quercetin, and epigallocatechin-3-gallate (EGCG), as well as anti-inflammatory omega-3 fatty acids and dietary fiber [61].
Folate and vitamins B2, B6, and B12, abundant in green leafy vegetables, are crucial for the synthesis of S-adenosylmethionine (SAM), the universal substrate required by DNA methyltransferases (DNMTs) [61]. While adequate SAM availability is essential for maintaining global methylation homeostasis and genomic stability, it is important to distinguish this from aberrant promoter-specific hypermethylation. Dysregulation of one-carbon metabolism may simultaneously promote global hypomethylation while facilitating locus-specific hypermethylation at tumour suppressor gene promoters through altered DNMT targeting and chromatin context [74,75].
Polyphenols like resveratrol (grapes/wine) and curcumin (turmeric) act as natural inhibitors of DNA methyltransferases (DNMTs). Studies have shown that they can demethylate and reactivate silenced TSGs, such as p16 and RASSF1A [47,76]. Furthermore, curcumin has been observed to act synergistically with folate and selenium to suppress DNMT expression, specifically aiding in the restoration of MLH1 activity [47]. EGCG (epigallocatechin-3-gallate), the principal catechin in green tea—another polyphenol, functions as a potent epigenetic modulator by directly inhibiting DNA methyltransferases (DNMTs) [61]. It binds to the catalytic domain of enzymes such as DNMT3B, a process that facilitates the demethylation and transcriptional reactivation of silenced tumour suppressor genes, including p16INK4a, MGMT, and RARB [64]. Importantly, the mechanisms by which polyphenols modulate DNMT activity are compound-specific. EGCG has been shown to directly interact with DNMT catalytic domains, whereas curcumin and resveratrol primarily exert indirect effects by modulating DNMT expression, inflammatory signalling pathways, and redox status, resulting in context-dependent epigenetic reprogramming rather than direct enzymatic inhibition.
Fish oil, a rich source of omega-3 polyunsaturated fatty acids (PUFAs), exerts a notable influence on the epigenetic landscape of colorectal cancer cells by modulating the methylation status of key protein-coding genes. Current evidence suggests that omega-3 PUFAs primarily influence DNA methylation indirectly, through attenuation of inflammation, modulation of oxidative stress, regulation of DNMT expression, and effects on one-carbon metabolism, rather than acting as direct demethylating agents. Research indicates that treatment with these fatty acids can reverse the aberrant promoter hypermethylation of critical tumour suppressors, including COX-2, CDKN2A (p16INK4a) and PTEN [77]. By facilitating the demethylation and subsequent re-expression of these genes, omega-3 PUFAs restore essential regulatory pathways that govern cell cycle arrest, apoptosis, and anti-inflammatory signalling, effectively counteracting the gene silencing that drives tumorigenesis [77].

4.3. The Western Diet: Genomic Instability and Hypermethylation

In contrast, the Western diet, dominated by saturated fats, refined sugars, and processed meats, has been linked to hypomethylation of the IGF2 differentially methylated region (DMR0). This epigenetic aberration is a surrogate marker for the Loss of Imprinting (LOI) of IGF2, a critical growth factor. Normally imprinted, IGF2 is expressed only from the paternal allele; however, diet-induced hypomethylation can lead to biallelic expression (LOI), which drives pathological cell proliferation and is independently associated with higher mortality in colorectal cancer patients [62]. Chronic exposure to pro-inflammatory and insulin-resistance states induced by such diets amplifies oxidative stress, promoting aberrant methylation landscapes that parallel those seen in malignant transformation [41,78].
High-fat, frequent consumption (and thus a lifelong Western-style diet) has been shown to reduce global DNA methylation in colonic mucosa significantly. Experimental models demonstrate that a Western diet, characterized by high fat and low calcium intake, leads to a progressive loss of global methylation, mirroring the age-related epigenetic drift observed in CRC [79].
High alcohol consumption interferes with folate absorption and metabolism. This “double hit” (low folate and high alcohol) is strongly associated with promoter hypermethylation of genes like APC and p16, creating a field defect that predisposes to cancer [56].
Red meat intake promotes an inflammatory context that may indirectly alter methylation patterns. Studies suggest that high red meat consumption correlates with specific methylation signatures, potentially through oxidative stress mechanisms that recruit DNMTs to TSG promoters [80,81,82,83].
Low fiber and high protein content drastically restructure the gut microbiota, promoting a state of dysbiosis that generates toxic metabolites with potent epigenetic activity. A sharp reduction in fermentable carbohydrates leads to diminished production of beneficial short-chain fatty acids (SCFAs) like butyrate, a critical inhibitor of histone deacetylases (HDACs). This loss of butyrate-mediated HDAC inhibition contributes to a restrictive chromatin state and hinders the expression of TSGs. Concurrently, the elevated sulphur content (often from processed meats) fosters the overgrowth of sulphate-reducing bacteria. This results in the overproduction of hydrogen sulphide (H2S), a gas that acts as a genotoxic and inflammatory agent [84]. High luminal H2S has been experimentally shown to activate the NF-κB signalling cascade and to cause hypermethylation of the APC promoter by recruiting DNA methyltransferases (DNMT1 and DNMT3B), thus creating a direct molecular link between the Western diet, microbial metabolites, and the epigenetic silencing of key protective genes.
Diet and lifestyle also appear to modulate LINE-1 methylation: folate-rich and Mediterranean-type diets are linked to higher LINE-1 methylation levels, whereas Western dietary patterns and alcohol intake promote hypomethylation [85,86].
Many of these diet-associated epigenetic alterations are supported predominantly by associative epidemiological data or experimental models and are likely mediated through intermediary processes such as chronic inflammation, insulin resistance, oxidative stress, microbiota dysbiosis, and altered metabolite signalling, rather than direct dietary effects on DNA methylation machinery.

4.4. Systemic Impact: Population-Level Epigenetics and Dietary Interventions

Population-level data are consistent with these underlying mechanisms. Within the EPIC-Italy cohort, for instance, investigators observed that high adherence to the Mediterranean Diet correlated with differential methylation of inflammation-related genes, including IL6, TNF, and CXCL12, in circulating leukocyte DNA. Using a targeted epigenome-wide approach, CpG sites within these loci exhibited methylation differences exceeding 1% between colorectal cancer cases and controls, suggesting a functional link between diet, systemic inflammation, and epigenetic remodelling. Such findings illustrate, at a population level, how dietary adherence may attenuate carcinogenic risk by reprogramming methylation patterns in pro-inflammatory pathways [46].
These complex, nutrigenomic interactions thus underscore the multifactorial nature of epigenetic regulation, in which diet acts not merely as a modifier of metabolism but also as a transcriptional architect involved in genomic stability [43,46,47].
Following this logic, the interplay between dietary patterns and DNA methylation defines a crucial pillar in colorectal cancer prevention. Epigenetic events such as promoter methylation of MLH1, APC, CDKN2A, MGMT, and RASSF1A constitute molecular fingerprints of early carcinogenic processes, while dietary interventions, particularly the Mediterranean Diet, offer an avenue to counteract these aberrations. The capacity of polyphenols and methyl donors to modulate DNMT activity situates nutrition as a form of epigenetic therapy, capable of rewriting the molecular memory of cells exposed to carcinogenic stress [48,49]. The genes presented, along with their biological functions, methylation status in CRC, and corresponding dietary and epigenetic modulation mechanisms, are summarized in Table 1.

5. Micro-RNAs at the Crossroad Between Diet and CRC

microRNAs (miRNAs) are small non-coding RNAs that act as post-transcriptional regulators of gene expression, playing essential roles in intestinal homeostasis and contributing to broader aspects of an organism’s health, including immune and metabolic balance. In cancer, miRNAs are often classified into tumour suppressor miRNAs and oncogenic miRNAs depending on their expression levels and effects; however, this is only a simplified model, as the effect of miRNAs can depend on the total activity of their regulated genes [98]. In colorectal carcinogenesis, miRNAs participate at every stage of tumour development, from initiation and inflammation to metastasis, by targeting key oncogenic and tumour-suppressor pathways, including Wnt/β-catenin, PI3K/AKT, KRAS, and p53 [19]. Although miRNAs are often encoded by genes located in unstable regions, which leads to their deletion and consequently a lack of expression, in CRC, miRNAs are usually overexpressed due to an amplification of their encoding genes or because their promoters are active constitutively [99]. Nonetheless, tumour suppressor miRNAs are equally important since their decreased expression has been associated with an increased expression of several genes involved in tumour progression in CRC [98].
A growing number of miRNAs are being investigated in CRC, either in cohorts of patients, animal models or cell lines. Additionally, in silico studies constantly provide new potential targets, which causes substantial difficulty in selecting the most relevant miRNAs for the development of diagnostic, staging and prognostic biomarkers. With high-throughput methods now available, hundreds of miRNAs are being investigated in relation to CRC alone. In the following subchapters, we will focus on those miRNAs whose expression has been linked to diet regulation; however, extensive reviews of miRNA biogenesis, pathways and involvement in CRC are also available [100,101,102].

5.1. Vitamin D and the VDR Axis: The Odd One Out

Emerging evidence presents the intricate interplay between Vitamin D metabolism and miRNA regulation. Vitamin D exerts remarkable anti-inflammatory and anti-proliferative effects through the activation of the vitamin D receptor (VDR). Several miRs, such as miR-21, miR-22, and miR-627, have been identified as downstream targets of Vitamin D-VDR signalling [103,104]. Namely, miR-21, an oncomiR often upregulated in tumour cells to inhibit tumour suppressors like PTEN and PDCD4, is downregulated by Vitamin D supplementation [105]. Conversely, miR-22 and miR-627, which possess tumour-suppressive properties, are upregulated by calcitriol (the active form of Vitamin D), thereby mediating anti-proliferative effects in colon cancer cells [106].
Despite the established chemopreventive effects of Vitamin D and the protective nature of the Mediterranean diet, several observational studies reveal a significant so-called “Vitamin D paradox”—which describes a low serum 25(OH)D in the context of high sun exposure [44,107]. A large meta-analysis by Manios et al. (2018) [108], encompassing data from over 630,000 individuals, reported mean 25(OH)D serum concentrations below 50 nmol/L, indicating low Vitamin D status, across Southern Europe and the Eastern Mediterranean. This deficiency, particularly pronounced in females and adolescents, suggests that factors beyond sun exposure, such as limited dairy consumption or modern indoor lifestyles, prevent the full utilization of Vitamin D’s protective epigenetic potential [108]. Furthermore, Trovato et al., in a study published during the same year, utilizing a rat model, demonstrated that the high-fat components often co-occurring with modern Western diets can impair muscle metabolism and reduce the trophic action of Vitamin D on muscle fibers [105]. Collectively, these findings emphasize that the protective benefits of the Mediterranean diet against CRC are complex and may be undermined by concurrent sub-optimal Vitamin D status, while also underlining the creeping influence of pro-inflammatory components of the Western diet.

5.2. The Mediterranean Diet: Restoring Tumour Suppression by Way of Polyphenols

It is important to distinguish whether diet-associated miRNA alterations arise from direct epigenetic regulation (e.g., promoter methylation or chromatin remodelling) or represent secondary responses to modulation of inflammatory, metabolic, or oncogenic signalling pathways. In many cases, observed miRNA changes reflect indirect downstream effects rather than primary epigenetic targeting.
The Mediterranean Diet (MD), as presented earlier, is characterized by high intakes of antioxidant-rich foods (fruits, vegetables, extra virgin olive oil, nuts) and thus is abundant in bioactive compounds, such as polyphenols, which act as potent modulators with anti-cancer effects. Specific components standard in the MD, such as resveratrol (grapes) and curcumin (turmeric), actively upregulate tumour-suppressive miRNAs that are often silenced in CRC [109,110].
Resveratrol (found in grapes and wine) is a polyphenol that exerts dual protective mechanisms. It downregulates oncomiRs such as miR-21 [111] and the miR-17-92 cluster [111,112,113]. Simultaneously, it upregulates tumour-suppressor miRNAs, including miR-663 (which targets TGFβ transcripts to reduce metastatic potential) and miR-34a (a key p53-effector that induces apoptosis) [114,115].
Curcumin shares the anti-inflammatory profile of the MD, despite being a spice. It has been shown to downregulate the oncomiR miR-21 via the AP-1 transcription factor, thereby restoring PDCD4 expression [116]. Furthermore, it induces the downregulation of the oncogenic miR-27a, which suppresses specificity proteins essential for angiogenesis [117].
Quercetin (found in onions and apples) is a flavonoid often tied to MD and has been shown to upregulate miR-146a, which facilitates the downregulation of the NF-κB inflammatory pathway, counteracting the pro-inflammatory state often induced by Western dietary habits [118].
Omega-3 PUFAs such as docosahexaenoic acid (DHA) can upregulate miR-126 through promoter demethylation in CRC cell lines, showing an antiangiogenic effect [119,120]. Additionally, downregulation of miR-27b, miR-93, miR-497, as well as miR-18a and miR-19b (part of the miR-17-92a oncogenic cluster) has been observed. A combination of fish oil PUFAs and a high fiber diet also downregulates oncogenic miRNAs, namely miR-16, miR-21, miR-26b and miR-27b [119].
A high fiber diet leading to high doses of butyrate has been associated with a decrease in oncogenic miRNAs belonging to the miR-106b family and the miR-17-92a cluster in CRC cell lines. Butyrate can also induce tumour suppressor miR-139 and miR-542 in cell lines, which reduce proliferation and induce apoptosis [119].

5.3. The Western Diet: Carbohydrates, Red Meat, and Oncogenic Signalling

In contrast to the MD, the Western dietary pattern is characterized by a high intake of refined carbohydrates and red/processed meats, which appears to drive an oncogenic miRNA profile characterized by the silencing of tumour suppressors.
Red and processed meat, especially their excessive intake, is a hallmark of the Western diet and has been linked to specific epigenetic alterations. A high red meat diet has been shown to upregulate the miR-17-92 cluster and miR-21 in rectal mucosa, both of which are oncomiRs known to be upregulated in CRC [119,121,122].
High-fat intake, another staple of the Western lifestyle, has been observed to downregulate tumour suppressors miR-143 and miR-145 via EGFR signalling. The loss of these miRNAs leads to the upregulation of their target oncogenes, KRAS and MYC, promoting tumorigenesis [123]. Deoxycholic acid (DHA), a gut microbiome metabolite induced by a high-fat diet, can decrease miR-199a-5p levels, leading to an overexpression of its target, CAC1, which in turn contributes to tumorigenesis. Experimental evidence showed that overexpressed miR-199a-5p inhibits CRC cell proliferation and reverses drug resistance, providing a potential therapeutic target [124].
Omega-6 PUFAs as part of a Western diet tend to have the opposite effect of omega-3 PUFAs in the Mediterranean diet, when consumed excessively. Although PUFAs have been linked for years with a tumoricidal action, conflicting data is still coming to light, which could be attributed to the distinct chemical compounds being investigated, their different metabolization, the various models and methods used. A main subject of controversy has been linoleic acid (LA), which was associated both with increased and reduced frequency of CRC in different studies [125,126,127]. Interestingly, a case–control study found a protective role for LA in CRC, alongside oleic acid and α-linoleic acid, which are usually part of a Mediterranean diet [126]. Another study pinpointed LA as a cause of miR-494 upregulation, which led to the suppression of MYCC and PGC1α and produced cancer dormancy in the CT26 CRC mouse cell line. In human tissue, miR-494 was highly expressed in cases with delayed liver metastases, but showed low expression in cases with current liver metastases or no metastases [128]. More studies are needed to elucidate the relationship between certain PUFAs, CRC and the microRNAs involved.
High carbohydrate and sucrose intake was associated with distinct miRNA signatures in an extensive population-based study of 1447 CRC cases. Using a miRNA microarray, the authors identified 250 miRNAs differentially expressed between CRC and normal colonic tissue for carbohydrate intake, 198 for sucrose intake, and 166 for both [129]. Notably, miR-1224-5p and miR-10b-3p showed significant differential expression associated with high sucrose consumption, suggesting that the glucose-metabolic characteristics of Western diets directly influence epigenetic regulation [130,131]. When looking at previously studied miRNAs, the authors found different associations than previously seen in the literature, which raises concern for the translational value of studies of this nature done on mice and cell lines [129]. Representative miRNAs studied in colorectal carcinogenesis are described in Table 2.
All these findings suggest that many Western diet-associated miRNA alterations represent secondary epigenetic responses to metabolic and inflammatory perturbations rather than primary oncogenic drivers, underscoring the need for cautious interpretation when translating experimental miRNA data into clinical biomarkers.

6. DNA Methylation-Driven Regulation of microRNA Genes

While DNA methylation and microRNA expression are often studied as distinct phenomena, they are functionally intertwined. A considerable number of miRNA genes reside within CpG island-rich regions, making them susceptible to the same methylation pressures that affect protein-coding genes, as presented in the previous chapters. This creates a “double-hit” scenario: epigenetic modulation of a miRNA gene leads to unchecked translation of its oncogenic mRNA targets, thereby linking environmental and dietary exposures to gene silencing in CRC [140].
When promoter CpG islands become hypermethylated, transcription of tumour-suppressive miRNAs is repressed [141]. This phenomenon is particularly prominent in CIMP-high colorectal cancers, where widespread promoter methylation affects both protein-coding and non-coding loci [142].
Recent genome-wide analyses identified several miRNAs recurrently silenced by DNA methylation in CRC: miR-34b/c—a direct p53-regulated miRNA cluster; its methylation blocks apoptosis and cell-cycle arrest [143]; miR-137—hypermethylated in CIMP-positive and BRAF-mutated CRCs, while reactivation suppresses Wnt/β-catenin signalling through RNF4 inhibition [144]; miR-143/145 cluster—frequently methylated in both adenomas and carcinomas, acts on KRAS and IGF1R pathways [102,145,146] and miR-342, miR-124, and miR-129—methylation targets linked to serrated pathway lesions and inflammation-associated carcinogenesis [100,147].
This coordinated repression of tumour-suppressive miRNAs amplifies oncogenic signalling and reinforces the CIMP phenotype characteristic of proximal and serrated colorectal tumours [148].

6.1. Diet as a Modulator of miRNA Methylation

Dietary patterns influence the methylation potential and epigenetic machinery through both nutrient-dependent and inflammation-mediated mechanisms.
One-carbon metabolism—nutrients such as folate, methionine, choline, and vitamin B12 determine the availability of S-adenosylmethionine (SAM), the universal methyl donor.
Deficiency induces global hypomethylation but paradoxically promotes locus-specific hypermethylation, including at miRNA promoters (miR-34b/c, miR-137) [149].
Adequate dietary methyl donors maintain regular miRNA expression, whereas an imbalance can accelerate tumour-associated silencing [150].

6.1.1. The Western Diet: Driving the Methylation of Tumour-Suppressor miRNAs

Diets rich in saturated fat, red and processed meat, and refined carbohydrates promote low-grade inflammation and DNMT upregulation [151]. This increases promoter hypermethylation of tumour-suppressive miRNAs and enhances expression of inflammatory oncomiRs (miR-21, miR-155, miR-135b) [152]. These diet-induced miRNA changes converge on PI3K/AKT and NF-κB pathways, fostering proliferation, invasion, and resistance to apoptosis [119].
Thus, under Western dietary conditions (characterized by low levels of methyl donors and high inflammation), promoters of tumour suppressors, such as miR-34b/c and miR-137, become hypermethylated. This silencing blocks their ability to induce apoptosis and to suppress Wnt/β-catenin signalling, a hallmark of the CIMP-high pathway, often observed in proximal tumours [32,119].

6.1.2. The Mediterranean Diet: Reactivation via Demethylation

Conversely, as stated in previous chapters, the MD offers a mechanism for “epigenetic rescue.” Bioactive compounds such as polyphenols and microbial SCFAs not only upregulate miRNA expression but also physically modify the chromatin landscape of miRNA genes.
Mediterranean and plant-based diets, rich in polyphenols (such as resveratrol, quercetin and EGCG), omega-3 fatty acids, and fermentable fibres that produce short-chain fatty acids (SCFAs) such as butyrate, can inhibit DNMT1 and HDACs, facilitating demethylation and reactivation of silenced miRNAs [47]. For instance, butyrate restores miR-143 and miR-34a expression, while resveratrol and EGCG counteract miR-21 overexpression, shifting the balance toward anti-tumorigenic signalling [153].

6.2. The Diet–miRNA Methylation–CIMP Axis

The coexistence of miRNA promoter hypermethylation and global CpG island methylation suggests that CIMP and miRNA silencing share a common epigenetic origin [154]. Dietary and metabolic conditions that favour DNMT activation (high-fat, low-folate) can intensify both CIMP and miRNA methylation, reinforcing the epigenetic blockade of differentiation and apoptosis. On the other hand, exposure to “epigenetically protective diets” (Mediterranean, high-fiber, polyphenol-rich) may attenuate this phenotype by downregulating DNMT/HDAC and increasing TET-mediated DNA demethylation [47].
Recently emerging research also links these diet-driven miRNA methylation signatures with circulating biomarkers detectable in liquid biopsy [154,155,156,157]. Tumours exhibiting hypermethylation of miR-34b/c or miR-137 frequently release corresponding methylated cfDNA fragments and dysregulated circulating miRNAs (miR-21, miR-92a, miR-135b), suggesting a shared epigenetic imprint between diet, tumour biology, and systemic circulation [158]. This diet-based epigenetic remodelling is summarized in Table 3, which highlights the methylation status of key miRNA genes.

7. Liquid Biopsy-Based Epigenetic Biomarkers in CRC: DNA Methylation, miRNAs and miRNA Gene Methylation

Epigenetic modifications represent one of the most promising sources of biomarkers for liquid biopsy-based detection and risk stratification in CRC. Diet-dependent changes in DNA methylation, circulating miRNAs, and methylation of miRNA-coding genes can be captured in cell-free DNA (cfDNA) or extracellular vesicles, providing a minimally invasive window into tumour biology and environmental modulation. These molecular signatures may support both early diagnosis and prevention-oriented monitoring, especially in individuals exposed to specific dietary patterns.
Methodologically, circulating miRNAs are quantified using approaches such as quantitative PCR (qPCR), digital droplet PCR (ddPCR), next-generation sequencing (NGS), and analysis of exosomal versus free-circulating fractions, each with distinct analytical sensitivities and translational readiness. Similarly, cfDNA methylation assessment relies on methylation-specific PCR–based assays or sequencing-based methods, with only a subset currently validated for clinical application.

7.1. DNA Methylation Biomarkers Detectable in Liquid Biopsy

Aberrant DNA methylation is a hallmark of CRC progression and can be measured in cfDNA with high analytical sensitivity. Established markers such as SEPT9 already serve as clinical screening tools [170], while additional genes known to be methylated in tumour tissue—MLH1, APC, CDKN2A/p16, MGMT, RASSF1A, SFRP1/2, and global LINE-1 hypomethylation—are increasingly reported in plasma-derived cfDNA [170,171].
Dietary exposures influence many of these methylation changes through modifications of one-carbon metabolism, inflammation, and microbiota-derived metabolites. Consequently, cfDNA methylation profiles may function as diet-responsive biomarkers that reflect long-term environmental risk as well as tumour-derived alterations.

7.2. Circulating microRNAs as Non-Invasive Biomarkers

Circulating miRNAs are stable in blood and exhibit reproducible changes during colorectal tumorigenesis [172]. As highlighted earlier, several miRNAs commonly dysregulated in CRC tissue, such as miR-21, miR-17-92 cluster, miR-27a, miR-92a, miR-135b, miR-34a, miR-143/145, and miR-137, have been consistently detected in plasma or serum. Gasparello et al. proposed a nine-miRNA signature for the early diagnosis of CRC, which consisted of five up-regulated miRNAs (mir-1247-5p, mir-584-5p, mir-10a-5p, miR-483-5p, miR-425-3p), four down-regulated miRNAs (mir-15b-5p, mir-486-5p, mir-144-5p, mir-144-3p) and showed great specificity in their cohort [173]. A recent meta-analysis investigated the potential use of 90 microRNAs, focusing on 7 of the most studied ones, namely miR-23, miR-92, miR-21, miR-17, miR-150, miR-29 and miR-20. Of these, the first three showed the highest accuracy and sensitivity [174]. Notably, miR-21 and miR-92 were also part of a 6-miRNA signature proposed for diagnostic use over 10 years ago, but so far, no miRNA-based diagnostic test has been validated [175,176,177].
Importantly, many of these miRNAs are sensitive to dietary patterns (Table 3). Western-style diets enriched in saturated fats and red meat are associated with increased circulating miR-21, miR-27a, and miR-135b, whereas Mediterranean or plant-based diets tend to elevate tumour-suppressive miRNAs such as miR-34a, miR-143/145, miR-126, and miR-22. Because circulating miRNAs integrate both environmental exposures and tumour biology, they could represent a powerful tool for both risk assessment and disease monitoring.

7.3. Methylation of miRNA Genes in cfDNA

Promoter hypermethylation of tumour-suppressive miRNAs—such as miR-34b/c, miR-124, miR-137, miR-143/145, and miR-342 is a recurrent feature of CRC. Although many studies have traditionally focused on tissue samples, the review by Longo et al. (2025) highlights that these methylation marks can also be reliably detected in cfDNA, offering a dual-layer biomarker: loss of miRNA expression combined with a stable methylation signal in the circulation [100].
Dietary factors that modulate DNMT activity (e.g., low folate, high-fat intake) or enhance demethylation pathways (e.g., SCFAs such as butyrate from high-fiber diets, polyphenols, or omega-3 fatty acids) may directly influence the methylation status of miRNA promoters, making this class of biomarkers particularly relevant for prevention-oriented liquid biopsy strategies. Diet-linked epigenetic signatures with potential clinical utility are summarized in Figure 3.

8. Future Perspective

Given the projected rise in colorectal cancer incidence, future studies will increasingly focus on comprehensive epigenetic profiling of this disease. Understanding how dietary compounds can reverse epigenetic marks is thus crucial. This knowledge will guide the development of “nutri-epigenetic” strategies targeting specific alterations, offering a promising avenue to overcome resistance to conventional treatments.
In this context, the field is rapidly transitioning from descriptive epigenetics toward functional and predictive epigenomics, aiming to identify causal epigenetic drivers rather than passive bystander marks. Advanced technologies such as single-cell multi-omics, spatial epigenomics, and long-read methylome sequencing are expected to uncover epigenetic dependencies unique to colorectal cancer subtypes, thereby enabling stratified and mechanism-driven nutritional interventions.
Moreover, the emergence of targeted epigenetic interventions, including the combination of dietary bioactive compounds (e.g., resveratrol, curcumin) with clinical DNMT inhibitors, births a new era of combinatorial therapy. These approaches hold the potential not only to sensitize tumour cells to chemotherapy but also to open new ways for chemoprevention strategies that target multiple tumorigenic pathways simultaneously (such as the Wnt/β-catenin and inflammatory pathways), thereby enhancing efficacy and preventing recurrence.
Notably, such combinatorial strategies align with the concept of epigenetic priming, whereby dietary compounds recondition the chromatin landscape, rendering malignant cells more vulnerable to subsequent pharmacological or immune-mediated attack. This approach reframes nutrition as an active epigenetic co-therapeutic force, capable of reshaping transcriptional plasticity, attenuating adaptive resistance, and constraining tumour evolutionary trajectories.
The advancement of liquid biopsy technologies and integrative omics analyses marks a significant step forward in fighting early-onset and sporadic CRC. By analysing circulating tumour DNA (ctDNA) methylation patterns (e.g., SEPT9, MLH1) and circulating microRNAs (e.g., miR-21, miR-92a), liquid biopsies provide a non-invasive way to detect CRC early, monitor its progress, and determine prognosis. Liquid biopsy-based epigenetic profiling enables longitudinal surveillance of tumour epigenomic plasticity, capturing therapy-induced shifts and early molecular signs of relapse well before clinical manifestation. This real-time monitoring defines epigenetic biomarkers as dynamic indicators of tumour evolution, rather than static diagnostic endpoints.
Additionally, a promising new area is the detection of methylated microRNA genes within circulating cell-free DNA. Emerging research shows that the promoter hypermethylation of tumour-suppressive miRNAs, such as miR-34b/c and miR-137, can be detected systemically, mirroring the epigenetic silencing in the primary tumour. These methylated miR biomarkers serve as a powerful dual epigenetic signature, indicating both the DNA methylation process and the loss of post-transcriptional regulation, potentially offering greater sensitivity and specificity than single markers.
Furthermore, integrating genomic, transcriptomic, and epigenomic data with metagenomics (microbiomics) promises to provide a holistic understanding of the “hologenome” in CRC biology. This approach is essential, as the gut microbiome acts as the key mediator between diet and the host epigenome. By shaping host chromatin architecture through microbially derived metabolites, the gut microbiota emerges as a central epigenetic regulator, capable of modulating cancer susceptibility, immune tone, and therapeutic responsiveness. Integrating microbiome-informed epigenetic signatures into predictive models may ultimately enable precision prevention frameworks, in which dietary modulation is tailored to individual epigenomic and microbial configurations. Deciphering this crosstalk opens new avenues for the discovery of novel biomarkers, thereby enhancing the precision of CRC prevention.
Altogether, these innovative strategies underscore the importance of a multifaceted approach to improving diagnosis, treatment, and prognosis for CRC patients, highlighting a future in which personalized precision nutrition becomes a reality. Moreover, the convergence of nutriepigenetics, liquid biopsy-driven epigenomic surveillance, and hologenomic integration heralds a transformative shift toward anticipatory, systems-level oncology, where colorectal cancer is intercepted, reprogrammed, and prevented through informed manipulation of the epigenetic landscape.

9. Conclusions

Colorectal cancer represents a paradigm of gene–environment interaction in which diet plays a decisive role in shaping the epigenome. The evidence reviewed here demonstrates that DNA methylation, microRNA expression, and especially the methylation of microRNA-coding genes represent central regulatory layers influenced by Western and Mediterranean dietary patterns. These diet-sensitive epigenetic alterations not only contribute to tumour initiation and progression but also leave measurable traces in circulation, detectable through modern liquid biopsy approaches.
Together, these findings support the development of diet-responsive epigenetic biomarkers that could improve risk stratification, early detection, and monitoring. Moreover, harnessing these biomarkers may transform CRC management into a truly personalized and nutria-epigenetically informed domain.
Future research should integrate nutritional interventions with epigenetic profiling to advance precision prevention strategies in colorectal cancer. As diet-modulated epigenetic markers continue to be validated, a future in which colorectal cancer screening and intervention are tailored to an individual’s metabolic and epigenetic profile becomes increasingly plausible, marking an important step toward next-generation, biomarker-driven screening programs.

Author Contributions

Conceptualization, T.C. and L.B.; writing—original draft preparation, T.C., A.-T.N., G.D.C., B.G., A.H., M.V.Ș., R.I.N. and L.B.; writing—editing, T.C., A.-T.N., G.D.C., B.G., A.H., M.V.Ș., R.I.N. and L.B.; writing—revision, T.C. and L.B. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by a grant of the Ministry of Research, Innovation and Digitalization, CCCDI-UEFISCDI, project number PN-IV-P7-7.1-PTE-2024-0715, within PNCDI IV. The publication of this paper was also supported by the Council for Doctoral Studies (CSUD), University of Bucharest.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

No new data were created or analyzed in this study. Data sharing is not applicable to this article.

Acknowledgments

The authors acknowledge the grant of the Ministry of Research, Innovation and Digitalization, CCCDI-UEFISCDI, project number PN-IV-P7-7.1-PTE-2024-0715, within PNCDI IV. During the preparation of this work, the authors used BioRender in order to create figures and BioRender licenses were generated for this work, in accordance with figure licensing requirements; also the authors used ChatGPT 5.0 (OpenAI) for the purposes of editing grammar, formatting and to improve the readability of the text. The authors have reviewed and edited the output and take full responsibility for the content of this publication.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
5-mC5-Methylcytosine
AGEAdvanced Glycation End products
APCAdenomatous Polyposis Coli
AKTProtein Kinase B
BCL-2B-cell Lymphoma 2
BMIBody Mass Index
BRAFv-Raf Murine Sarcoma Viral Oncogene Homolog B
CDKN2ACyclin-Dependent Kinase Inhibitor 2A (p16)
cfDNACell-Free DNA
CIMPCpG Island Methylator Phenotype
CINChromosomal Instability
CMSConsensus Molecular Subtypes
COX-2Cyclooxygenase-2
CRCColorectal Cancer
ctDNACirculating tumour DNA
CXCL12C-X-C Motif Chemokine Ligand 12
DHADocosahexaenoic Acid
DNADeoxyribonucleic Acid
DNMTDNA Methyltransferase
EGCGEpigallocatechin-3-Gallate
EGFREpidermal Growth Factor Receptor
EMTEpithelial-Mesenchymal Transition
eoCRCEarly-Onset Colorectal Cancer
EPAEicosapentaenoic Acid
EPCAMEpithelial Cell Adhesion Molecule
ESR1Estrogen Receptor 1
EVsExtracellular Vesicles
FADSFatty Acid Desaturase
FAPFamilial Adenomatous Polyposis
GSTP1Glutathione S-Transferase Pi 1
H2SHydrogen Sulfide
HDACHistone Deacetylase
HNPCCHereditary Non-Polyposis Colorectal Cancer (Lynch Syndrome)
IBDInflammatory Bowel Disease
IGFInsulin-Like Growth Factor
IGF-1Insulin-Like Growth Factor 1
IL-6Interleukin-6
KRASKirsten Rat Sarcoma Viral Oncogene Homolog
LINE-1Long Interspersed Nuclear Element-1
LALinoleic Acid
LSLynch Syndrome
MBDMethyl-CpG-Binding Domain Protein
MDMediterranean Diet
MGMTO-6-Methylguanine-DNA Methyltransferase
miRNA/miRmicroRNA
MLH1MutL Homolog 1
MMRDNA Mismatch Repair
MSH2/6MutS Homolog 2/6
MSIMicrosatellite Instability
MSI-HMicrosatellite Instability-High
MTHFRMethylenetetrahydrofolate Reductase
MYCMyelocytomatosis Oncogene
NF-kBNuclear Factor Kappa B
NRF2Nuclear Factor Erythroid 2-Related Factor 2
PDCD4Programmed Cell Death 4
PGE2Prostaglandin E2
PI3KPhosphoinositide 3-Kinase
PMS2PMS1 Homolog 2

References

  1. Bray, F.; Laversanne, M.; Sung, H.; Ferlay, J.; Siegel, R.L.; Soerjomataram, I.; Jemal, A. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin. 2024, 74, 229–263. [Google Scholar] [CrossRef]
  2. European Commission, Eurostat. Cancer Statistics—Specific Cancers. Available online: https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Cancer_statistics_-_specific_cancers (accessed on 27 September 2025).
  3. Morgan, E.; Arnold, M.; Gini, A.; Lorenzoni, V.; Cabasag, C.J.; Laversanne, M.; Vignat, J.; Ferlay, J.; Murphy, N.; Bray, F. Global burden of colorectal cancer in 2020 and 2040: Incidence and mortality estimates from GLOBOCAN. Gut 2023, 72, 338–344. [Google Scholar] [CrossRef]
  4. Roshandel, G.; Ghasemi-Kebria, F.; Malekzadeh, R. Colorectal cancer: Epidemiology, risk factors, and prevention. Cancers 2024, 16, 1530. [Google Scholar] [CrossRef]
  5. Filho, A.M.; Laversanne, M.; Ferlay, J.; Colombet, M.; Piñeros, M.; Znaor, A.; Parkin, D.M.; Soerjomataram, I.; Bray, F. The GLOBOCAN 2022 cancer estimates: Data sources, methods, and a snapshot of the cancer burden worldwide. Int. J. Cancer 2025, 156, 1336–1346. [Google Scholar] [CrossRef]
  6. European Cancer Information System (ECIS). Available online: https://ecis.jrc.ec.europa.eu/ (accessed on 16 October 2025).
  7. Santucci, C.; Mignozzi, S.; Malvezzi, M.; Boffetta, P.; Collatuzzo, G.; Levi, F.; La Vecchia, C.; Negri, E. European cancer mortality predictions for the year 2024 with focus on colorectal cancer. Ann. Oncol. 2024, 35, 308–316. [Google Scholar] [CrossRef]
  8. Siegel, R.L.; Giaquinto, A.N.; Jemal, A. Cancer statistics, 2024. CA Cancer J. Clin. 2024, 74, 12–49. [Google Scholar] [CrossRef]
  9. Simtion, C.A.; Simtion, K.A.; Merhavy, Z.I.; Guimarães, A.F.S.; Aijaz, A.; Merhavy, C.E.; Courtois, E.; Varkey, T.C. The impact of Mediterranean diet on colorectal cancer recurrence following chemotherapy treatment: A systematic review. World Nutr. J. 2024, 7, 28–35. [Google Scholar] [CrossRef]
  10. Vuik, F.E.R.; Nieuwenburg, S.A.V.; Bardou, M.; Lansdorp-Vogelaar, I.; Dinis-Ribeiro, M.; Bento, M.J.; Zadnik, V.; Pellisé, M.; Esteban, L.; Kaminski, M.; et al. Increasing incidence of colorectal cancer in young adults in Europe over the last 25 years. Gut 2019, 68, 1820–1826. [Google Scholar] [CrossRef] [PubMed]
  11. Cercek, A.; Chatila, W.K.; Yaeger, R.; Walch, H.; Fernandes, G.D.S.; Krishnan, A.; Palmaira, L.; Maio, A.; Kemel, Y.; Srinivasan, P.; et al. A comprehensive comparison of early-onset and average-onset colorectal cancers. J. Natl. Cancer Inst. 2021, 113, 1683–1692. [Google Scholar] [CrossRef]
  12. Carbone, F.; Spinelli, A.; Ciardiello, D.; Luc, M.R.; de Pascale, S.; Bertani, E.; Fazio, N.; Romario, U.F. Prognosis of early-onset versus late-onset sporadic colorectal cancer: Systematic review and meta-analysis. Eur. J. Cancer 2025, 215, 115172. [Google Scholar] [CrossRef] [PubMed]
  13. Mauri, G.; Patelli, G.; Crisafulli, G.; Siena, S.; Bardelli, A. Tumor “age” in early-onset colorectal cancer. Cell 2025, 188, 589–593. [Google Scholar] [CrossRef]
  14. Saraiva, M.R.; Rosa, I.; Claro, I. Early-onset colorectal cancer: A review of current knowledge. World J. Gastroenterol. 2023, 29, 1289. [Google Scholar] [CrossRef] [PubMed]
  15. Sifaki-Pistolla, D.; Poimenaki, V.; Fotopoulou, I.; Saloustros, E.; Mavroudis, D.; Vamvakas, L.; Lionis, C. Significant rise of colorectal cancer incidence in younger adults and strong determinants: 30 years longitudinal differences between under and over 50s. Cancers 2022, 14, 4799. [Google Scholar] [CrossRef]
  16. Dwyer, A.J.; Murphy, C.C.; Boland, C.R.; Garcia-Aguilar, J.; Hampel, H.; Limburg, P.; Lowery, J.; Zauber, A.G.; Waring, S.; Worrall, S.; et al. A summary of the fight colorectal cancer working meeting: Exploring risk factors and etiology of sporadic early-age onset colorectal cancer. Gastroenterology 2019, 157, 280–288. [Google Scholar] [CrossRef] [PubMed]
  17. Wang, Y.; Wang, C.; Zhong, R.; Wang, L.; Sun, L. Research progress of DNA methylation in colorectal cancer. Mol. Med. Rep. 2024, 30, 154. [Google Scholar] [CrossRef] [PubMed]
  18. Ma, L.; Li, C.; Yin, H.; Huang, J.; Yu, S.; Zhao, J.; Tang, Y.; Yu, M.; Lin, J.; Ding, L.; et al. The Mechanism of DNA Methylation and miRNA in Breast Cancer. Int. J. Mol. Sci. 2023, 24, 9360. [Google Scholar] [CrossRef]
  19. Sado, A.I.; Batool, W.; Ahmed, A.; Zafar, S.; Patel, S.K.; Mohan, A.; Zia, U.; Aminpoor, H.; Kumar, V.; Tejwaney, U. Role of microRNA in colorectal carcinoma (CRC): A narrative review. Ann. Med. Surg. 2024, 86, 308–318. [Google Scholar] [CrossRef]
  20. Rac, M. Synthesis and regulation of miRNA, its role in oncogenesis, and its association with colorectal cancer progression, diagnosis, and prognosis. Diagnostics 2024, 14, 1450. [Google Scholar] [CrossRef]
  21. Patil, N.; Abba, M.L.; Zhou, C.; Chang, S.; Gaiser, T.; Leupold, J.H.; Allgayer, H. Changes in methylation across structural and MicroRNA genes relevant for progression and metastasis in colorectal cancer. Cancers 2021, 13, 5951. [Google Scholar] [CrossRef]
  22. Puppa, G.; Sonzogni, A.; Colombari, R.; Pelosi, G. TNM Staging System of Colorectal Carcinoma: A Critical Appraisal of Challenging Issues. Arch. Pathol. Lab. Med. 2010, 134, 837–852. [Google Scholar] [CrossRef]
  23. Fleming, M.; Ravula, S.; Tatishchev, S.F.; Wang, H.L. Colorectal carcinoma: Pathologic aspects. J. Gastrointest. Oncol. 2012, 3, 153–173. [Google Scholar] [CrossRef] [PubMed]
  24. Nagtegaal, I.D.; Odze, R.D.; Klimstra, D.; Paradis, V.; Rugge, M.; Schirmacher, P.; Washington, K.M.; Carneiro, F.; Cree, I.A.; WHO Classification of Tumours Editorial Board. The 2019 WHO classification of tumours of the digestive system. Histopathology 2020, 76, 182–188. [Google Scholar] [CrossRef]
  25. Dubansky, B.; Lewis, S.; Telgenhoff, D. Classification and Histological Characteristics of Colorectal Cancer. Clin. Lab. Sci. 2024, 36, 50–54. [Google Scholar] [CrossRef]
  26. Liu, Y.; Du, J.; Zhang, P.; Meng, W.; Xiao, H. Squamous cell carcinoma of ascending colon with pMMR/MSS showed a partial response to PD-1 blockade combined with chemotherapy: A case report. Front. Oncol. 2023, 13, 1051786. [Google Scholar] [CrossRef] [PubMed]
  27. Guinney, J.; Dienstmann, R.; Wang, X.; de Reyniès, A.; Schlicker, A.; Soneson, C.; Marisa, L.; Roepman, P.; Nyamundanda, G.; Angelino, P.; et al. The consensus molecular subtypes of colorectal cancer. Nat. Med. 2015, 21, 1350–1356. [Google Scholar] [CrossRef]
  28. Rejali, L.; Seifollahi Asl, R.; Sanjabi, F.; Fatemi, N.; Asadzadeh Aghdaei, H.; Saeedi Niasar, M.; Ketabi Moghadam, P.; Nazemalhosseini Mojarad, E.; Mini, E.; Nobili, S. Principles of molecular utility for CMS classification in colorectal cancer management. Cancers 2023, 15, 2746. [Google Scholar] [CrossRef]
  29. Warth, A.; Kloor, M.; Schirmacher, P.; Bläker, H. Genetics and epigenetics of small bowel adenocarcinoma: The interactions of CIN, MSI, and CIMP. Mod. Pathol. 2011, 24, 564–570. [Google Scholar] [CrossRef]
  30. Puzzono, M.; Mannucci, A.; Grannò, S.; Zuppardo, R.A.; Galli, A.; Danese, S.; Cavestro, G.M. The Role of Diet and Lifestyle in Early-Onset Colorectal Cancer: A Systematic Review. Cancers 2021, 13, 5933. [Google Scholar] [CrossRef]
  31. Lewandowska, A.; Rudzki, G.; Lewandowski, T.; Stryjkowska-Góra, A.; Rudzki, S. Risk Factors for the Diagnosis of Colorectal Cancer. Cancer Control 2022, 29, 10732748211056692. [Google Scholar] [CrossRef]
  32. Yang, Y.; Yuan, H.; Zhao, L.; Guo, S.; Hu, S.; Tian, M.; Nie, Y.; Yu, J.; Zhou, C.; Niu, J.; et al. Targeting the miR-34a/LRPPRC/MDR1 axis collapse the chemoresistance in P53 inactive colorectal cancer. Cell Death Differ. 2022, 29, 2177–2189. [Google Scholar] [CrossRef]
  33. Preisler, L.; Habib, A.; Shapira, G.; Kuznitsov-Yanovsky, L.; Mayshar, Y.; Carmel-Gross, I.; Carmel-Gross, I.; Malcov, M.; Azem, F.; Shomron, N.; et al. Heterozygous APC germline mutations impart predisposition to colorectal cancer. Sci. Rep. 2021, 11, 5113. [Google Scholar] [CrossRef]
  34. Ditonno, I.; Novielli, D.; Celiberto, F.; Rizzi, S.; Rendina, M.; Ierardi, E.; Di Leo, A.; Losurdo, G. Molecular pathways of carcinogenesis in familial adenomatous polyposis. Int. J. Mol. Sci. 2023, 24, 5687. [Google Scholar] [CrossRef]
  35. Li, X.; Liu, G.; Wu, W. Recent advances in Lynch syndrome. Exp. Hematol. Oncol. 2021, 10, 37. [Google Scholar] [CrossRef] [PubMed]
  36. Peltomäki, P. Lynch syndrome genes. Fam. Cancer 2005, 4, 227–232. [Google Scholar] [CrossRef]
  37. Abildgaard, A.B.; Nielsen, S.V.; Bernstein, I.; Stein, A.; Lindorff-Larsen, K.; Hartmann-Petersen, R. Lynch syndrome, molecular mechanisms and variant classification. Br. J. Cancer 2023, 128, 726–734. [Google Scholar] [CrossRef]
  38. Sawicki, T.; Ruszkowska, M.; Danielewicz, A.; Niedźwiedzka, E.; Arłukowicz, T.; Przybyłowicz, K.E. A Review of Colorectal Cancer in Terms of Epidemiology, Risk Factors, Development, Symptoms and Diagnosis. Cancers 2021, 13, 2025. [Google Scholar] [CrossRef] [PubMed]
  39. Johnson, C.M.; Wei, C.; Ensor, J.E.; Smolenski, D.J.; Amos, C.I.; Levin, B.; Berry, D.A. Meta-analyses of colorectal cancer risk factors. Cancer Causes Control 2013, 24, 1207–1222. [Google Scholar] [CrossRef]
  40. Vekic, J.; Zeljkovic, A.; Stefanovic, A.; Giglio, R.V.; Ciaccio, M.; Rizzo, M. Diabetes and Colorectal Cancer Risk: A New Look at Molecular Mechanisms and Potential Role of Novel Antidiabetic Agents. Int. J. Mol. Sci. 2021, 22, 12409. [Google Scholar] [CrossRef] [PubMed]
  41. Moschos, S.J.; Mantzoros, C.S. The Role of the IGF System in Cancer: From Basic to Clinical Studies and Clinical Applications. Oncology 2002, 63, 317–332. [Google Scholar] [CrossRef]
  42. Wolin, K.Y.; Yan, Y.; Colditz, G.A.; Lee, I.M. Physical activity and colon cancer prevention: A meta-analysis. Br. J. Cancer 2009, 100, 611–616. [Google Scholar] [CrossRef]
  43. Castelló, A.; Rodríguez-Barranco, M.; Fernandez de Larrea, N.; Jakszyn, P.; Dorronsoro, A.; Amiano, P.; Chirlaque, M.D.; Colorado-Yohar, S.; Guevara, M.; Moreno-Iribas, C.; et al. Adherence to the Western, Prudent and Mediterranean dietary patterns and colorectal cancer risk: Findings from the Spanish Cohort of the European Prospective Investigation into Cancer and Nutrition (EPIC-Spain). Nutrients 2022, 14, 3085. [Google Scholar] [CrossRef]
  44. Ungvari, Z.; Fekete, M.; Fekete, J.T.; Grosso, G.; Ungvari, A.; Győrffy, B. Adherence to the Mediterranean diet and its protective effects against colorectal cancer: A meta-analysis of 26 studies with 2,217,404 participants. GeroScience 2025, 47, 1105–1121. [Google Scholar] [CrossRef]
  45. Castelló, A.; Amiano, P.; Fernández de Larrea, N.; Martín, V.; Alonso, M.H.; Castaño-Vinyals, G.; Pérez-Gómez, B.; Olmedo-Requena, R.; Guevara, M.; Fernandez-Tardon, G.; et al. Low adherence to the western and high adherence to the mediterranean dietary patterns could prevent colorectal cancer. Eur. J. Nutr. 2019, 58, 1495–1505. [Google Scholar] [CrossRef] [PubMed]
  46. Fasanelli, F.; Giraudo, M.T.; Vineis, P.; Fiano, V.; Fiorito, G.; Grasso, C.; Polidoro, S.; Trevisan, M.; Grioni, S.; Krogh, V.; et al. DNA methylation, colon cancer and Mediterranean diet: Results from the EPIC-Italy cohort. Epigenetics 2019, 14, 977–988. [Google Scholar] [CrossRef]
  47. Kenanoglu, S.; Gokce, N.; Akalin, H.; Ergoren, M.C.; Beccari, T.; Bertelli, M.; Dundar, M. Implication of the Mediterranean diet on the human epigenome. J. Prev. Med. Hyg. 2022, 63, E44–E55. [Google Scholar] [CrossRef] [PubMed]
  48. Waddington, C.H. The epigenotype. 1942. Int. J. Epidemiol. 2012, 41, 10–13. [Google Scholar] [CrossRef] [PubMed]
  49. Waddington, C.H. The Strategy of the Genes: A Discussion of Some Aspects of Theoretical Biology, 1st ed.; Routledge: London, UK, 2014. [Google Scholar] [CrossRef]
  50. Holliday, R.; Pugh, J.E. DNA modification mechanisms and gene activity during development. Science 1975, 187, 226–232. [Google Scholar] [CrossRef]
  51. Compere, S.J.; Palmiter, R.D. DNA methylation controls the inducibility of the mouse metallothionein-I gene in lymphoid cells. Cell 1981, 25, 233–240. [Google Scholar] [CrossRef]
  52. Miyakura, Y.; Sugano, K.; Konishi, F.; Ichikawa, A.; Maekawa, M.; Shitoh, K.; Igarashi, S.; Kotake, K.; Koyama, Y.; Nagai, H. Extensive methylation of hMLH1 promoter region predominates in proximal colon cancer with microsatellite instability. Gastroenterology 2001, 121, 1300–1309. [Google Scholar] [CrossRef]
  53. Balmaña, J.; Stockwell, D.H.; Steyerberg, E.W.; Stoffel, E.M.; Deffenbaugh, A.M.; Reid, J.E.; Ward, B.; Scholl, T.; Hendrickson, B.; Tazelaar, J.; et al. Prediction of MLH1 and MSH2 mutations in Lynch syndrome. JAMA 2006, 296, 1469–1478. [Google Scholar] [CrossRef]
  54. Li, X.; Yao, X.; Wang, Y.; Hu, F.; Wang, F.; Jiang, L.; Liu, Y.; Wang, D.; Sun, G.; Zhao, Y. MLH1 promoter methylation frequency in colorectal cancer patients and related clinicopathological and molecular features. PLoS ONE 2013, 8, e59064. [Google Scholar] [CrossRef] [PubMed]
  55. Fodde, R. The APC gene in colorectal cancer. Eur. J. Cancer 2002, 38, 867–871. [Google Scholar] [CrossRef]
  56. Choi, S.-W.; Tammen, S.A.; Liu, Z.; Friso, S. A lifelong exposure to a Western-style diet, but not aging, alters global DNA methylation in mouse colon. Nutr. Res. Pract. 2015, 9, 358–363. [Google Scholar] [CrossRef]
  57. Lind, G.E.; Thorstensen, L.; Løvig, T.; Meling, G.I.; Hamelin, R.; Rognum, T.O.; Esteller, M.; Lothe, R.A. A CpG island hypermethylation profile of primary colorectal carcinomas and colon cancer cell lines. Mol. Cancer 2004, 3, 28. [Google Scholar] [CrossRef] [PubMed]
  58. Esteller, M.; Toyota, M.; Sanchez-Cespedes, M.; Capella, G.; Peinado, M.A.; Watkins, D.N.; Issa, J.P.; Sidransky, D.; Baylin, S.B.; Herman, J.G. Inactivation of the DNA Repair Gene O6-Methylguanine-DNA Methyltransferase by Promoter Hypermethylation Is Associated with G to A Mutations in K-ras in Colorectal Tumorigenesis. Cancer Res. 2000, 60, 2368–2371. [Google Scholar]
  59. Caldwell, G.M.; Jones, C.; Gensberg, K.; Jan, S.; Hardy, R.G.; Byrd, P.; Chughtai, S.; Wallis, Y.; Matthews, G.M.; Morton, D.G. The Wnt antagonist sFRP1 in colorectal tumorigenesis. Cancer Res. 2004, 64, 883–888. [Google Scholar] [CrossRef]
  60. Schernhammer, E.S.; Giovannucci, E.; Kawasaki, T.; Rosner, B.; Fuchs, C.S.; Ogino, S. Dietary folate, alcohol and B vitamins in relation to LINE-1 hypomethylation in colon cancer. Gut 2010, 59, 794–799. [Google Scholar] [CrossRef] [PubMed]
  61. Arasaradnam, R.P.; Commane, D.M.; Bradburn, D.; Mathers, J.C. A review of dietary factors and its influence on DNA methylation in colorectal carcinogenesis. Epigenetics 2008, 3, 193–198. [Google Scholar] [CrossRef]
  62. Coppedè, F. Epigenetic biomarkers of colorectal cancer: Focus on DNA methylation. Cancer Lett. 2014, 342, 238–247. [Google Scholar] [CrossRef]
  63. Van Engeland, M.; Weijenberg, M.P.; Roemen, G.M.; Brink, M.; de Bruïne, A.P.; Goldbohm, R.A.; van den Brandt, P.A.; Baylin, S.B.; de Goeij, A.F.; Herman, J.G. Effects of Dietary Folate and Alcohol Intake on Promoter Methylation in Sporadic Colorectal Cancer: The Netherlands Cohort Study on Diet and Cancer. Cancer Res. 2003, 63, 3133–3137. [Google Scholar]
  64. Maleknia, M.; Ahmadirad, N.; Golab, F.; Katebi, Y.; Haj Mohamad Ebrahim Ketabforoush, A. DNA methylation in cancer: Epigenetic view of dietary and lifestyle factors. Epigenetics Insights 2023, 16, 25168657231199893. [Google Scholar] [CrossRef]
  65. Benninghoff, A.D.; Hintze, K.J.; Monsanto, S.P.; Rodriguez, D.M.; Hunter, A.H.; Phatak, S.; Pestka, J.J.; Van Wettere, A.J.; Ward, R.E. Consumption of the Total Western Diet Promotes Colitis and Inflammation-Associated Colorectal Cancer in Mice. Nutrients 2020, 12, 544. [Google Scholar] [CrossRef]
  66. Hitchins, M.P.; Dámaso, E.; Alvarez, R.; Zhou, L.; Hu, Y.; Diniz, M.A.; Pineda, M.; Capella, G.; Pearlman, R.; Hampel, H. Constitutional MLH1 Methylation Is a Major Contributor to Mismatch Repair-Deficient, MLH1-Methylated Colorectal Cancer in Patients Aged 55 Years and Younger. J. Natl. Compr. Canc. Netw. 2023, 21, 743–752. [Google Scholar] [CrossRef]
  67. Ceccon, C.; Borga, C.; Angerilli, V.; Bergamo, F.; Munari, G.; Sabbadin, M.; Gasparello, J.; Schiavi, F.; Zovato, S.; Scarpa, M.; et al. MLH1 gene promoter methylation status partially overlaps with CpG methylator phenotype (CIMP) in colorectal adenocarcinoma. Pathol. Res. Pract. 2024, 266, 155786. [Google Scholar] [CrossRef]
  68. Carnevali, I.W.; Cini, G.; Libera, L.; Sahnane, N.; Facchi, S.; Viel, A.; Sessa, F.; Tibiletti, M.G. MLH1 Promoter Methylation Could Be the Second Hit in Lynch Syndrome Carcinogenesis. Genes 2023, 14, 2060. [Google Scholar] [CrossRef]
  69. Gay, L.J.; Arends, M.J.; Mitrou, P.N.; Bowman, R.; Ibrahim, A.E.; Happerfield, L.; Luben, R.; McTaggart, A.; Ball, R.Y.; Rodwell, S.A. MLH1 Promoter Methylation, Diet, and Lifestyle Factors in Mismatch Repair Deficient Colorectal Cancer Patients from EPIC-Norfolk. Nutr. Cancer 2011, 63, 1000–1010. [Google Scholar] [CrossRef]
  70. Fang, Q. The versatile attributes of MGMT: Its repair mechanism, crosstalk with other DNA repair pathways, and its role in cancer. Cancers 2024, 16, 331. [Google Scholar] [CrossRef] [PubMed]
  71. Hassan, M.S.; Khalid, T.; Akhlaq, M.; Hameed, A.; Sharif, F.; Rana, S.; Uroos, M. Therapeutic potential of betaine and its derivatives in cancer treatment: A comprehensive review. RSC Adv. 2025, 15, 20605–20622. [Google Scholar] [CrossRef] [PubMed]
  72. Xiong, H.; Zhang, W.; Tan, X.; Xiao, X.; Ma, Z.; Ma, X.; Zeng, J.; Zhao, Y. The potential and mechanisms of tea polyphenols in the prevention and treatment of colorectal cancer. Food Rev. Int. 2025, 41, 1–29. [Google Scholar] [CrossRef]
  73. Beetch, M.; Harandi-Zadeh, S.; Shen, K.; Lubecka, K.; Kitts, D.D.; O’Hagan, H.M.; Stefanska, B. Dietary antioxidants remodel DNA methylation patterns in chronic disease. Br. J. Pharmacol. 2020, 177, 1382–1408. [Google Scholar] [CrossRef]
  74. de Vogel, S.; Bongaerts, B.W.C.; Wouters, K.A.P.; Kester, A.D.M.; Schouten, L.J.; de Goeij, A.F.P.M.; de Bruïne, A.P.; Goldbohm, R.A.; van den Brandt, P.A.; van Engeland, M.; et al. Associations of dietary methyl donor intake with MLH1 promoter hypermethylation and related molecular phenotypes in sporadic colorectal cancer. Carcinogenesis 2008, 29, 1765–1773. [Google Scholar] [CrossRef] [PubMed]
  75. Sánchez-Tena, S.; Reyes-Zurita, F.J.; Díaz-Moralli, S.; Vinardell, M.P.; Reed, M.; García-García, F.; Dopazo, J.; Lupiáñez, J.A.; Günther, U.; Cascante, M. Maslinic acid-enriched diet decreases intestinal tumorigenesis in ApcMin/+ mice through transcriptomic and metabolic reprogramming. PLoS ONE 2013, 8, e59392. [Google Scholar] [CrossRef]
  76. Dammann, R.H.; Richter, A.M.; Jiménez, A.P.; Woods, M.; Küster, M.; Witharana, C. Impact of natural compounds on DNA methylation levels of the tumor suppressor gene RASSF1A in cancer. Int. J. Mol. Sci. 2017, 18, 2160. [Google Scholar] [CrossRef]
  77. Moradi Sarabi, M.; Mohammadrezaei Khorramabadi, R.; Zare, Z.; Eftekhar, E. Polyunsaturated fatty acids and DNA methylation in colorectal cancer. World J. Clin. Cases 2019, 7, 4172–4185. [Google Scholar] [CrossRef]
  78. La Vecchia, M.; Sala, G.; Sculco, M.; Aspesi, A.; Dianzani, I. Genetics, diet, microbiota, and metabolome: Partners in crime for colon carcinogenesis. Clin. Exp. Med. 2024, 24, 248. [Google Scholar] [CrossRef]
  79. Pussila, M.; Sarantaus, L.; Dermadi Bebek, D.; Valo, S.; Reyhani, N.; Ollila, S.; Päivärinta, E.; Peltomäki, P.; Mutanen, M.; Nyström, M. Cancer-predicting gene expression changes in colonic mucosa of Western diet fed Mlh1+/− mice. PLoS ONE 2013, 8, e76865. [Google Scholar] [CrossRef]
  80. Domínguez-Barragán, J.; Fernández-Sanlés, A.; Hernáez, Á.; Llauradó-Pont, J.; Marrugat, J.; Robinson, O.; Tzoulaki, I.; Elosua, R.; Lassale, C. Blood DNA methylation signature of diet quality and association with cardiometabolic traits. Eur. J. Prev. Cardiol. 2024, 31, 191–202. [Google Scholar] [CrossRef] [PubMed]
  81. Maugeri, A.; Barchitta, M. How dietary factors affect DNA methylation: Lesson from epidemiological studies. Medicina 2020, 56, 374. [Google Scholar] [CrossRef]
  82. Si, J.; Chen, L.; Yu, C.; Guo, Y.; Sun, D.; Pang, Y.; Millwood, I.Y.; Walters, R.G.; Yang, L.; Chen, Y.; et al. Healthy lifestyle, DNA methylation age acceleration, and incident risk of coronary heart disease. Clin. Epigenet. 2023, 15, 52. [Google Scholar] [CrossRef]
  83. Maugeri, A.; Barchitta, M.; Mazzone, M.G.; Giuliano, F.; Basile, G.; Agodi, A. Resveratrol modulates SIRT1 and DNMT functions and restores LINE-1 methylation levels in ARPE-19 cells under oxidative stress and inflammation. Int. J. Mol. Sci. 2018, 19, 2118. [Google Scholar] [CrossRef] [PubMed]
  84. Majumder, A.; Bano, S. How the western diet thwarts the epigenetic efforts of gut microbes in ulcerative colitis and its association with colorectal cancer. Biomolecules 2024, 14, 633. [Google Scholar] [CrossRef]
  85. Figueiredo, J.C.; Grau, M.V.; Wallace, K.; Levine, A.J.; Shen, L.; Hamdan, R.; Chen, X.; Bresalier, R.S.; McKeown-Eyssen, G.; Haile, R.W.; et al. Global DNA hypomethylation (LINE-1) in the normal colon and lifestyle characteristics and dietary and genetic factors. Cancer Epidemiol. Biomark. Prev. 2009, 18, 1041–1049. [Google Scholar] [CrossRef] [PubMed]
  86. Marques-Rocha, J.L.; Milagro, F.I.; Mansego, M.L.; Mourão, D.M.; Martínez, J.A.; Bressan, J. LINE-1 methylation is positively associated with healthier lifestyle but inversely related to body fat mass in healthy young individuals. Epigenetics 2016, 11, 49–60. [Google Scholar] [CrossRef] [PubMed]
  87. de Vogel, S.; van Engeland, M.; Lüchtenborg, M.; de Bruïne, A.P.; Roemen, G.M.; Lentjes, M.H.; Goldbohm, R.A.; van den Brandt, P.A.; de Goeij, A.F.; Weijenberg, M.P. Dietary folate and APC mutations in sporadic colorectal cancer. J. Nutr. 2006, 136, 3015–3021. [Google Scholar] [CrossRef] [PubMed]
  88. Zhang, L.; Shay, J.W. Multiple roles of APC and its therapeutic implications in colorectal cancer. J. Natl. Cancer Inst. 2017, 109, djw332. [Google Scholar] [CrossRef]
  89. Rajendran, P.; Dashwood, W.M.; Li, L.; Kang, Y.; Kim, E.; Johnson, G.; Fischer, K.A.; Löhr, C.V.; Williams, D.E.; Ho, E.; et al. Nrf2 status affects tumor growth, HDAC3 gene promoter associations, and the response to sulforaphane in the colon. Clin. Epigenet. 2015, 7, 102. [Google Scholar] [CrossRef]
  90. Roy, S.; Deka, D.; Kondaveeti, S.B.; Ayyadurai, P.; Siripragada, S.; Philip, N.; Pathak, S.; Duttaroy, A.K.; Banerjee, A. An overview of potential of natural compounds to regulate epigenetic modifications in colorectal cancer: A recent update. Epigenetics 2025, 20, 2491316. [Google Scholar] [CrossRef]
  91. Kim, Y.I. Folate and colorectal cancer: An evidence-based critical review. Mol. Nutr. Food Res. 2007, 51, 267–292. [Google Scholar] [CrossRef]
  92. Seufferlein, T.; Ettrich, T.J.; Menzler, S.; Messmann, H.; Kleber, G.; Zipprich, A.; Frank-Gleich, S.; Algul, H.; Metter, K.; Odemar, F.; et al. Green tea extract to prevent colorectal adenomas, results of a randomized, placebo-controlled clinical trial. Am. J. Gastroenterol. 2022, 117, 884–894. [Google Scholar] [CrossRef]
  93. Van Engeland, M.; Roemen, G.M.; Brink, M.; Pachen, M.M.; Weijenberg, M.P.; de Bruïne, A.P.; Herman, J.G. K-ras mutations and RASSF1A promoter methylation in colorectal cancer. Oncogene 2002, 21, 3792–3795. [Google Scholar] [CrossRef]
  94. Villota, H.; Röthlisberger, S.; Pedroza-Diaz, J. Modulation of the canonical Wnt signaling pathway by dietary polyphenols, an opportunity for colorectal cancer chemoprevention and treatment. Nutr. Cancer 2022, 74, 384–404. [Google Scholar] [CrossRef]
  95. Bocchi, M.; de Sousa Pereira, N.; de Oliveira, K.B.; Amarante, M.K. Involvement of CXCL12/CXCR4 axis in colorectal cancer: A mini-review. Mol. Biol. Rep. 2023, 50, 6233–6239. [Google Scholar] [CrossRef]
  96. Sunami, E.; de Maat, M.; Vu, A.; Turner, R.R.; Hoon, D.S. LINE-1 hypomethylation during primary colon cancer progression. PLoS ONE 2011, 6, e18884. [Google Scholar] [CrossRef]
  97. Kerachian, M.A.; Kerachian, M. Long interspersed nucleotide element-1 (LINE-1) methylation in colorectal cancer. Clin. Chim. Acta 2019, 488, 209–214. [Google Scholar] [CrossRef]
  98. Smolarz, B.; Durczyński, A.; Romanowicz, H.; Szyłło, K.; Hogendorf, P. miRNAs in Cancer (Review of Literature). Int. J. Mol. Sci. 2022, 23, 2805. [Google Scholar] [CrossRef]
  99. Piao, Y.; Piao, M.; Ryu, K.H. Multiclass cancer classification using a feature subset-based ensemble from microRNA expression profiles. Comput. Biol. Med. 2017, 80, 39–44. [Google Scholar] [CrossRef]
  100. Longo, F.; Gattuso, G.; Spoto, G.; Ricci, D.; Vitale, A.C.V.; Lavoro, A.; Candido, S.; Libra, M.; Falzone, L. The multifaceted role of microRNAs in colorectal cancer: Pathogenesis and therapeutic implications. Non-Coding RNA Res. 2025, 14, 65–95. [Google Scholar] [CrossRef] [PubMed]
  101. Tang, X.J.; Wang, W.; Hann, S.S. Interactions among lncRNAs, miRNAs and mRNA in colorectal cancer. Biochimie 2019, 163, 58–72. [Google Scholar] [CrossRef]
  102. Ghafouri-Fard, S.; Hussen, B.M.; Badrlou, E.; Abak, A.; Taheri, M. MicroRNAs as important contributors in the pathogenesis of colorectal cancer. Biomed. Pharmacother. 2021, 140, 111759. [Google Scholar] [CrossRef] [PubMed]
  103. Bai, Y.H.; Lu, H.; Hong, D.; Lin, C.C.; Yu, Z.; Chen, B.C. Vitamin D receptor gene polymorphisms and colorectal cancer risk: A systematic review and meta-analysis. World J. Gastroenterol. 2012, 18, 1672. [Google Scholar] [CrossRef] [PubMed]
  104. Padi, S.K.R.; Zhang, Q.; Rustum, Y.M.; Morrison, C.; Guo, B. MicroRNA-627 Mediates the Epigenetic Mechanisms of Vitamin D to Suppress Proliferation of Human Colorectal Cancer Cells and Growth of Xenograft Tumors in Mice. Gastroenterology 2013, 145, 437–446. [Google Scholar] [CrossRef]
  105. Trovato, F.M.; Castrogiovanni, P.; Szychlinska, M.A.; Purrello, F.; Musumeci, G. Impact of Western and Mediterranean Diets and vitamin D on Muscle Fibers of Sedentary Rats. Nutrients 2018, 10, 231. [Google Scholar] [CrossRef]
  106. Alvarez-Díaz, S.; Valle, N.; Ferrer-Mayorga, G.; Lombardía, L.; Herrera, M.; Domínguez, O.; Segura, M.F.; Bonilla, F.; Hernando, E.; Muñoz, A. MicroRNA-22 is induced by vitamin D and contributes to its antiproliferative, antimigratory and gene regulatory effects in colon cancer cells. Hum. Mol. Genet. 2012, 21, 2157–2165. [Google Scholar] [CrossRef] [PubMed]
  107. Guyton, K.Z.; Kensler, T.W.; Posner, G.H. Vitamin D analogs as chemopreventive agents. Nutr. Rev. 2003, 61, 227–238. [Google Scholar] [CrossRef]
  108. Manios, Y.; Moschonis, G.; Lambrinou, C.P.; Tsoutsoulopoulou, K.; Binou, P.; Karachaliou, A.; Breidenassel, C.; Gonzalez-Gross, M.; Kiely, M.; Cashman, K.D. A systematic review of vitamin D status in southern European countries. Eur. J. Nutr. 2018, 57, 2001–2036. [Google Scholar] [CrossRef]
  109. Wang, Q.; Hao, J.; Guan, Q.; Yuan, W. The Mediterranean diet and gastrointestinal cancers risk. Recent Pat. Food Nutr. Agric. 2014, 6, 23–26. [Google Scholar] [CrossRef]
  110. Gavrilas, L.I.; Ionescu, C.; Tudoran, O.; Lisencu, C.; Balacescu, O.; Miere, D. The Role of Bioactive Dietary Components in Modulating miRNA Expression in Colorectal Cancer. Nutrients 2016, 8, 590. [Google Scholar] [CrossRef]
  111. Sheth, S.; Jajoo, S.; Kaur, T.; Mukherjea, D.; Sheehan, K.; Rybak, L.P.; Ramkumar, V. Resveratrol Reduces Prostate Cancer Growth and Metastasis by Inhibiting the Akt/MicroRNA-21 Pathway. PLoS ONE 2012, 7, e51655. [Google Scholar] [CrossRef] [PubMed]
  112. Al-nakhle, H.H. Unraveling the multifaceted role of the miR-17-92 cluster in colorectal cancer: From mechanisms to biomarker potential. Curr. Issues Mol. Biol. 2024, 46, 1832–1850. [Google Scholar] [CrossRef] [PubMed]
  113. Dhar, S.; Kumar, A.; Rimando, A.M.; Zhang, X.; Levenson, A.S. Resveratrol and pterostilbene epigenetically restore PTEN expression by targeting oncomiRs of the miR-17 family in prostate cancer. Oncotarget 2015, 6, 27214–27226. [Google Scholar] [CrossRef]
  114. Yoshioka, Y.; Ohishi, T.; Nakamura, Y.; Fukutomi, R.; Miyoshi, N. Anti-cancer effects of dietary polyphenols via ROS-mediated pathway with their modulation of microRNAs. Molecules 2022, 27, 3816. [Google Scholar] [CrossRef]
  115. Langenskiöld, M.; Holmdahl, L.; Falk, P.; Angenete, E.; Ivarsson, M.L. Increased TGF-beta 1 protein expression in patients with advanced colorectal cancer. J. Surg. Oncol. 2008, 97, 409–415. [Google Scholar] [CrossRef]
  116. Arghiani, N.; Matin, M.M. MiR-21: A key small molecule with great effects in combination cancer therapy. Nucleic Acid Ther. 2021, 31, 271–283. [Google Scholar] [CrossRef]
  117. Salehi, A.M.; Torogi, F.; Jalilian, F.A.; Amini, R. The potential role of curcumin as a regulator of microRNA in colorectal cancer: A systematic review. MicroRNA 2025, 14, 42–48. [Google Scholar] [CrossRef] [PubMed]
  118. Noratto, G.D.; Kim, Y.; Talcott, S.T.; Mertens-Talcott, S.U. Flavonol-rich fractions of yaupon holly leaves (Ilex vomitoria, Aquifoliaceae) induce microRNA-146a and have anti-inflammatory and chemopreventive effects in intestinal myofribroblast CCD-18Co cells. Fitoterapia 2011, 82, 557–569. [Google Scholar] [CrossRef]
  119. Guz, M.; Jeleniewicz, W.; Malm, A.; Korona-Glowniak, I. A crosstalk between diet, microbiome and microRNA in epigenetic regulation of colorectal cancer. Nutrients 2021, 13, 2428. [Google Scholar] [CrossRef] [PubMed]
  120. Moradi Sarabi, M.; Zahedi, S.A.; Pajouhi, N.; Khosravi, P.; Bagheri, S.; Ahmadvand, H.; Shahryarhesami, S. The effects of dietary polyunsaturated fatty acids on miR-126 promoter DNA methylation status and VEGF protein expression in the colorectal cancer cells. Genes Nutr. 2018, 13, 32. [Google Scholar] [CrossRef]
  121. Prendecka-Wróbel, M.; Pigoń-Zając, D.; Sondej, D.; Grzywna, K.; Kamińska, K.; Szuta, M.; Małecka-Massalska, T. Can dietary actives affect miRNAs and alter the course or prevent colorectal cancer? Int. J. Mol. Sci. 2023, 24, 10142. [Google Scholar] [CrossRef] [PubMed]
  122. Ahadi, A. The significance of microRNA deregulation in colorectal cancer development and the clinical uses as a diagnostic and prognostic biomarker and therapeutic agent. Non-Coding RNA Res. 2020, 5, 125–134. [Google Scholar] [CrossRef]
  123. Zhu, H.; Dougherty, U.; Robinson, V.; Mustafi, R.; Pekow, J.; Kupfer, S.; Li, Y.C.; Hart, J.; Goss, K.; Fichera, A.; et al. EGFR signals downregulate tumor suppressors miR-143 and miR-145 in Western diet-promoted murine colon cancer: Role of G1 regulators. Mol. Cancer Res. 2011, 9, 960–975. [Google Scholar] [CrossRef]
  124. Kong, Y.; Bai, P.S.; Sun, H.; Nan, K.J.; Chen, N.Z.; Qi, X.G. The deoxycholic acid targets miRNA-dependent CAC1 gene expression in multidrug resistance of human colorectal cancer. Int. J. Biochem. Cell Biol. 2012, 44, 2321–2332. [Google Scholar] [CrossRef]
  125. Lu, X.; Yu, H.; Ma, Q.; Shen, S.; Das, U.N. Linoleic acid suppresses colorectal cancer cell growth by inducing oxidant stress and mitochondrial dysfunction. Lipids Health Dis. 2010, 9, 106. [Google Scholar] [CrossRef] [PubMed]
  126. Shekari, S.; Fathi, S.; Roumi, Z.; Akbari, M.E.; Tajadod, S.; Afsharfar, M.; Hasanpour Ardekanizadeh, N.; Bourbour, F.; Keshavarz, S.A.; Sotoudeh, M.; et al. Association between dietary intake of fatty acids and colorectal cancer, a case-control study. Front. Nutr. 2022, 9, 856408. [Google Scholar] [CrossRef]
  127. Atashi, N.; Eshaghian, N.; Anjom-Shoae, J.; Askari, G.; Asadi, M.; Sadeghi, O. Dietary intake and tissue biomarkers of omega-6 fatty acids and risk of colorectal cancer in adults: A systematic review and dose-response meta-analysis of prospective cohort studies. Nutr. Diabetes 2015, 15, 17. [Google Scholar] [CrossRef]
  128. Ogata, R.; Mori, S.; Kishi, S.; Sasaki, R.; Iwata, N.; Ohmori, H.; Sasaki, T.; Nishiguchi, Y.; Nakashima, C.; Goto, K.; et al. Linoleic Acid Upregulates Microrna-494 to Induce Quiescence in Colorectal Cancer. Int. J. Mol. Sci. 2021, 23, 225. [Google Scholar] [CrossRef] [PubMed]
  129. Slattery, M.L.; Herrick, J.S.; Mullany, L.E.; Stevens, J.R.; Wolff, R.K. Diet and lifestyle factors associated with miRNA expression in colorectal tissue. Pharmacogenom. Pers. Med. 2016, 10, 1–16. [Google Scholar] [CrossRef]
  130. Jiang, Z.; Hu, H.; Hu, W.; Hou, Z.; Liu, W.; Yu, Z.; Liang, Z.; Chen, S. Circ-RNF121 regulates tumor progression and glucose metabolism by miR-1224-5p/FOXM1 axis in colorectal cancer. Cancer Cell Int. 2021, 21, 596. [Google Scholar] [CrossRef]
  131. Shen, Y.; Dai, X.; Chen, H.; Zhai, S.; Peng, Q.; Cai, S.; Zhu, Y.; Huan, J.; Shen, Y. Comprehensive evaluation of microRNA-10b in digestive system cancers reveals prognostic implication and signaling pathways associated with tumor progression. J. Cancer 2021, 12, 4011–4024. [Google Scholar] [CrossRef] [PubMed]
  132. Gandhy, S.U.; Kim, K.; Larsen, L.; Rosengren, R.J.; Safe, S. Curcumin and synthetic analogs induce reactive oxygen species and decreases specificity protein (Sp) transcription factors by targeting microRNAs. BMC Cancer 2012, 12, 564. [Google Scholar] [CrossRef]
  133. Ejaz, M.; Usman, S.M.; Amir, S.; Khan, M.J. Holistic expression of miR-17-92 cluster in obesity, kidney diseases, cardiovascular diseases, and diabetes. Mol. Biol. Rep. 2023, 50, 6913–6925. [Google Scholar] [CrossRef]
  134. Ashiqueali, S.A.; Zhu, X.; Wiesenborn, D.S.; Gesing, A.; Schneider, A.; Noureddine, S.A.; Correa-Garcia, C.; Masternak, M.M.; Siddiqi, S.A. Calorie restriction and life-extending mutation downregulate miR-34a to facilitate lipid metabolism in the liver. Exp. Gerontol. 2024, 194, 112506. [Google Scholar] [CrossRef]
  135. Yao, F.; Yu, Y.; Feng, L.; Li, J.; Zhang, M.; Lan, X.; Yan, X.; Liu, Y.; Guan, F.; Zhang, C.; et al. Adipogenic miR-27a in adipose tissue upregulates macrophage activation via inhibiting PPARγ of insulin resistance induced by high-fat diet-associated obesity. Exp. Cell Res. 2017, 355, 105–112. [Google Scholar] [CrossRef] [PubMed]
  136. Li, X.; Xu, M.; Ding, L.; Tang, J. MiR-27a: A novel biomarker and potential therapeutic target in tumors. J. Cancer 2019, 10, 2836–2848. [Google Scholar] [CrossRef] [PubMed]
  137. Banerjee, N.; Kim, H.; Talcott, S.; Mertens-Talcott, S. Pomegranate polyphenolics suppressed azoxymethane-induced colorectal aberrant crypt foci and inflammation: Possible role of miR-126/VCAM-1 and miR-126/PI3K/AKT/mTOR. Carcinogenesis 2013, 34, 2814–2822. [Google Scholar] [CrossRef] [PubMed]
  138. Cheng, X.W.; Wan, Y.F.; Zhou, Q.; Wang, Y.; Zhu, H.Q. MicroRNA-126 inhibits endothelial permeability and apoptosis in apolipoprotein E-knockout mice fed a high-fat diet. Mol. Med. Rep. 2017, 16, 3061–3068. [Google Scholar] [CrossRef]
  139. Feng, R.; Chen, X.; Yu, Y.; Su, L.; Yu, B.; Li, J.; Cai, Q.; Yan, M.; Liu, B.; Zhu, Z. miR-126 functions as a tumour suppressor in human gastric cancer. Cancer Lett. 2010, 298, 50–63. [Google Scholar] [CrossRef]
  140. Turcu, S.; Grama, F.; Gazouli, M. Gut Microbiome-Mediated Genetic and Epigenetic Alterations in Colorectal Cancer: Population-Specific Insights. Biomedicines 2025, 13, 2262. [Google Scholar] [CrossRef]
  141. Rhee, Y.Y.; Kim, K.J.; Kang, G.H. CpG Island Methylator Phenotype-High Colorectal Cancers and Their Prognostic Implications and Relationships with the Serrated Neoplasia Pathway. Gut Liver 2017, 11, 38–46. [Google Scholar] [CrossRef]
  142. Baharudin, R.; Rus Bakarurraini, N.Q.; Ismail, I.; Lee, L.-H.; Ab Mutalib, N.S. MicroRNA Methylome Signature and Their Functional Roles in Colorectal Cancer Diagnosis, Prognosis, and Chemoresistance. Int. J. Mol. Sci. 2022, 23, 7281. [Google Scholar] [CrossRef]
  143. Pan, W.; Chai, B.; Li, L.; Lu, Z.; Ma, Z. p53/MicroRNA-34 axis in cancer and beyond. Heliyon 2023, 9, e15155. [Google Scholar] [CrossRef]
  144. Balaguer, F.; Link, A.; Lozano, J.J.; Cuatrecasas, M.; Nagasaka, T.; Boland, C.R.; Goel, A. Epigenetic silencing of miR-137 is an early event in colorectal carcinogenesis. Cancer Res. 2010, 70, 6609–6618. [Google Scholar] [CrossRef]
  145. Maqsood, Q.; Sumrin, A.; Saleem, Y.; Wajid, A.; Mahnoor, M. Exosomes in Cancer: Diagnostic and Therapeutic Applications. Clin. Med. Insights Oncol. 2024, 18, 11795549231215966. [Google Scholar] [CrossRef]
  146. Mozammel, N.; Amini, M.; Baradaran, B.; Mahdavi, S.Z.B.; Hosseini, S.S.; Mokhtarzadeh, A. The function of miR-145 in colorectal cancer progression; an updated review on related signaling pathways. Pathol. Res. Pract. 2023, 242, 154290. [Google Scholar] [CrossRef]
  147. Saviana, M.; Le, P.; Micalo, L.; Del Valle-Morales, D.; Romano, G.; Acunzo, M.; Li, H.; Nana-Sinkam, P. Crosstalk between miRNAs and DNA Methylation in Cancer. Genes 2023, 14, 1075. [Google Scholar] [CrossRef]
  148. Satorres, C.; García-Campos, M.; Bustamante-Balén, M. Molecular Features of the Serrated Pathway to Colorectal Cancer: Current Knowledge and Future Directions. Gut Liver 2021, 15, 31–43. [Google Scholar] [CrossRef] [PubMed]
  149. Bakrim, S.; El Omari, N.; El Yaagoubi, O.M.; Khalid, A.; Abdalla, A.N.; Hamza, S.M.A.; Ibrahim, S.E.; Atifi, F.; Zaid, Y.; Bouyahya, A.; et al. Epi-nutrients for cancer prevention: Molecular mechanisms and emerging insights. Cell Biol. Toxicol. 2025, 41, 116. [Google Scholar] [CrossRef] [PubMed]
  150. Sfakianoudis, K.; Zikopoulos, A.; Grigoriadis, S.; Seretis, N.; Maziotis, E.; Anifandis, G.; Xystra, P.; Kostoulas, C.; Giougli, U.; Pantos, K.; et al. The Role of One-Carbon Metabolism and Methyl Donors in Medically Assisted Reproduction: A Narrative Review of the Literature. Int. J. Mol. Sci. 2024, 25, 4977. [Google Scholar] [CrossRef] [PubMed]
  151. Malesza, I.J.; Malesza, M.; Walkowiak, J.; Mussin, N.; Walkowiak, D.; Aringazina, R.; Bartkowiak-Wieczorek, J.; Mądry, E. High-Fat, Western-Style Diet, Systemic Inflammation, and Gut Microbiota: A Narrative Review. Cells 2021, 10, 3164. [Google Scholar] [CrossRef]
  152. Zare, E.; Yaghoubi, S.M.; Khoshnazar, M.; Jafari Dargahlou, S.; Machhar, J.S.; Zheng, Z.; Duijf, P.H.G.; Mansoori, B. MicroRNAs in Cancer Immunology: Master Regulators of the Tumor Microenvironment and Immune Evasion, with Therapeutic Potential. Cancers 2025, 17, 2172. [Google Scholar] [CrossRef]
  153. Mohammadi, P.; Forouzesh, F.; Kouhkan, F. Short Chain Fatty Acid Sodium Butyrate Increases miR-21, miR-143 and miR-145 Expression in Human Colorectal Cancer HCT-116 Cell Line. Iran. J. Public Health 2024, 53, 1164–1174. [Google Scholar] [CrossRef]
  154. Jafari, D.; Esmaeilzadeh, A.; Shahbaz, S.K.; Jafarzadeh, L.; Mansourabadi, A.H.; Sadr, M. Epigenetics and miRNAs in Cancer. In Cancer Immunology. Handbook of Cancer and Immunology; Rezaei, N., Ed.; Springer: Cham, Switzerland, 2025; Volume 1. [Google Scholar] [CrossRef]
  155. Schwab, S.; Nonaka, T. Circulating miRNAs as liquid biopsy biomarkers for diagnosis in patients with colorectal cancer: A systematic review and meta-analysis. Front. Genet. 2025, 16, 1574586. [Google Scholar] [CrossRef]
  156. Rehman, M.Y.A.; van Herwijnen, M.; Malik, R.N.; Briedé, J.J.; Krauskopf, J. The miRNA-based liquid biopsies for environmental health risk assessment: Insights into arsenic-induced hepatotoxicity and systemic health impacts. Sci. Total Environ. 2025, 988, 179825. [Google Scholar] [CrossRef] [PubMed]
  157. Arora, A.; Raghava, G.P.S. Prediction of exosomal miRNA-based biomarkers for liquid biopsy. Sci. Rep. 2025, 15, 31191. [Google Scholar] [CrossRef]
  158. Dong, H.; Sun, Y.; Nie, L.; Cui, A.; Zhao, P.; Leung, W.K.; Wang, Q. Metabolic memory: Mechanisms and diseases. Signal Transduct. Target. Ther. 2024, 9, 38. [Google Scholar] [CrossRef] [PubMed]
  159. Qian, H.; Maghsoudloo, M.; Kaboli, P.J.; Babaeizad, A.; Cui, Y.; Fu, J.; Wang, Q.; Imani, S. Decoding the Promise and Challenges of miRNA-Based Cancer Therapies: An Essential Update on miR-21, miR-34, and miR-155. Int. J. Med. Sci. 2024, 21, 2781–2798. [Google Scholar] [CrossRef] [PubMed]
  160. Yang, D.; Yan, M.; Guo, J.; Wu, L. Hypermethylation of microRNA-34c CpG Island predicts unfavorable prognosis in acute myeloid leukemia. Sci. Rep. 2025, 15, 35165. [Google Scholar] [CrossRef]
  161. Wiik, E.N.; Pettersen, H.S.; Skogseth, H.; Halgunset, J.; Wibe, A. miR-143 and miR-145 in Colorectal Cancer: A Digital Pathology Approach on Expressions and Protein Correlations. APMIS 2025, 133, e70051. [Google Scholar] [CrossRef]
  162. Tao, K.; Yang, J.; Guo, Z.; Hu, Y.; Sheng, H.; Gao, H.; Yu, H. Prognostic value of miR-221-3p, miR-342-3p and miR-491-5p expression in colon cancer. Am. J. Transl. Res. 2014, 6, 391–401. [Google Scholar] [PubMed Central]
  163. Qin, Z.; Liu, X. miR-124, a potential therapeutic target in colorectal cancer. OncoTargets Ther. 2019, 12, 749–751. [Google Scholar] [CrossRef]
  164. Gherman, A.; Bolundut, D.; Ecea, R.; Balacescu, L.; Curcean, S.; Dina, C.; Balacescu, O.; Cainap, C. Molecular Subtypes, microRNAs and Immunotherapy Response in Metastatic Colorectal Cancer. Medicina 2024, 60, 397. [Google Scholar] [CrossRef]
  165. Wang, Z.; Zhou, H.; Cheng, F.; Zhang, Z.; Long, S. miR-21 Negatively Regulates the PTEN-PI3K-Akt-mTOR Signaling Pathway in Crohn’s Disease by Altering Immune Tolerance and Epithelial-Mesenchymal Transition. Discov. Med. 2022, 34, 45–58. [Google Scholar] [PubMed]
  166. Chawra, H.S.; Agarwal, M.; Mishra, A.; Chandel, S.S.; Singh, R.P.; Dubey, G.; Kukreti, N.; Singh, M. MicroRNA-21’s role in PTEN suppression and PI3K/AKT activation: Implications for cancer biology. Pathol. Res. Pract. 2024, 254, 155091. [Google Scholar] [CrossRef]
  167. Sai, X.; Qin, C.; Zhang, Z.; Yu, H.; Bian, T. A miRNA-21-Mediated PTEN/Akt/NF-κB Axis Promotes Chronic Obstructive Pulmonary Disease Pathogenesis. Int. J. Chron. Obstruct. Pulmon. Dis. 2024, 19, 1141–1151. [Google Scholar] [CrossRef]
  168. Karimi Dermani, F.; Saidijam, M.; Amini, R.; Mahdavinezhad, A.; Heydari, K.; Najafi, R. Resveratrol Inhibits Proliferation, Invasion, and Epithelial-Mesenchymal Transition by Increasing miR-200c Expression in HCT-116 Colorectal Cancer Cells. J. Cell. Biochem. 2017, 118, 1547–1555. [Google Scholar] [CrossRef]
  169. Karimi Dermani, F.; Najafi, R. miR-200c as a Predictive Biomarker for 5-Fluorouracil Chemosensitivity in Colorectal Cancer. J. Gastrointest. Cancer 2018, 49, 102–103. [Google Scholar] [CrossRef]
  170. Grützmann, R.; Molnar, B.; Pilarsky, C.; Habermann, J.K.; Schlag, P.M.; Saeger, H.D.; Miehlke, S.; Stolz, T.; Model, F.; Roblick, U.J.; et al. Sensitive detection of colorectal cancer in peripheral blood by septin 9 DNA methylation assay. PLoS ONE 2008, 3, e3759. [Google Scholar] [CrossRef] [PubMed]
  171. Fatemi, N.; Tierling, S.; Es, H.A.; Varkiani, M.; Mojarad, E.N.; Aghdaei, H.A.; Walter, J.; Totonchi, M. DNA methylation biomarkers in colorectal cancer: Clinical applications for precision medicine. Int. J. Cancer 2022, 151, 2068–2081. [Google Scholar] [CrossRef] [PubMed]
  172. Padroni, L.; Marmiroli, G.; De Marco, L.; Fiano, V.; Dansero, L.; Caini, S.; Masala, G.; Manfredi, L.; Milani, L.; Ricceri, F.; et al. Circulating microRNAs as Early Biomarkers of Colon Cancer: A Nested Case-Control Study Within a Prospective Cohort. Int. J. Mol. Sci. 2025, 26, 7893. [Google Scholar] [CrossRef]
  173. Gasparello, J.; Papi, C.; Allegretti, M.; Giordani, E.; Carboni, F.; Zazza, S.; Pescarmona, E.; Romania, P.; Giacomini, P.; Scapoli, C.; et al. A Distinctive microRNA (miRNA) Signature in the Blood of Colorectal Cancer (CRC) Patients at Surgery. Cancers 2020, 12, 2410. [Google Scholar] [CrossRef] [PubMed]
  174. Xu, J.; Pan, L.; Wu, D.; Yao, L.; Jiang, W.; Min, J.; Deng, Z. Comparison of the diagnostic value of various microRNAs in blood for colorectal cancer: A systematic review and network meta-analysis. BMC Cancer 2024, 24, 770. [Google Scholar] [CrossRef]
  175. Wang, J.; Huang, S.K.; Zhao, M.; Yang, M.; Zhong, J.L.; Gu, Y.Y.; Peng, H.; Che, Y.Q.; Huang, C.Z. Identification of a circulating microRNA signature for colorectal cancer detection. PLoS ONE 2014, 9, e87451. [Google Scholar] [CrossRef] [PubMed]
  176. Pająk, W.; Kleinrok, J.; Pec, J.; Michno, K.; Wojtas, J.; Badach, M.; Teresińska, B.; Baj, J. Micro RNA in Colorectal Cancer—Potential Diagnostic and Prognostic Markers—An Updated Review. Int. J. Mol. Sci. 2025, 26, 8615. [Google Scholar] [CrossRef] [PubMed]
  177. Burlibașa, M.; Burlibașa, L.; Gavrilă, L.B.; Gavrilă, V.R.; Gavrilă, L. microRNA a macroRevolution in Medical Biotechnologies. Roum. Biotechnol. Lett. 2008, 13, 3977–3983. [Google Scholar]
Figure 1. Classification of modifiable and non-modifiable risk factors associated with colorectal cancer development.
Figure 1. Classification of modifiable and non-modifiable risk factors associated with colorectal cancer development.
Biomedicines 14 00267 g001
Figure 2. Epigenetic silencing of MLH1 in sporadic CRC. Promoter architecture shows the MLH1 promoter relative to the Transcription Start Site (TSS). Proximal regions C (−162 to −62 bp) and D (+88 to +260 bp) are highlighted, in blue and green, as critical zones containing regulatory elements (CCAAT/GC boxes) required for transcription factor (TF) binding. The functional mechanism is as such: Top (Healthy Colon)—The unmethylated promoter allows TF binding and active transcription (black arrow). The resulting MLH1 protein stabilizes PMS2, forming the MutLα complex that facilitates DNA mismatch repair and maintains genomic stability; Bottom (Sporadic CRC)—DNMT-mediated hypermethylation of proximal CpG sites (regions C—in blue and D—in green) induces chromatin condensation and transcriptional silencing (red blunt arrow). The subsequent loss of MLH1 causes concurrent PMS2 degradation; this deficiency in the MutLα complex prevents repair of replication errors, driving the Microsatellite Instability-High (MSI-H) phenotype. Created in BioRender.Chindea, T. (2026) https://BioRender.com/28wycew.
Figure 2. Epigenetic silencing of MLH1 in sporadic CRC. Promoter architecture shows the MLH1 promoter relative to the Transcription Start Site (TSS). Proximal regions C (−162 to −62 bp) and D (+88 to +260 bp) are highlighted, in blue and green, as critical zones containing regulatory elements (CCAAT/GC boxes) required for transcription factor (TF) binding. The functional mechanism is as such: Top (Healthy Colon)—The unmethylated promoter allows TF binding and active transcription (black arrow). The resulting MLH1 protein stabilizes PMS2, forming the MutLα complex that facilitates DNA mismatch repair and maintains genomic stability; Bottom (Sporadic CRC)—DNMT-mediated hypermethylation of proximal CpG sites (regions C—in blue and D—in green) induces chromatin condensation and transcriptional silencing (red blunt arrow). The subsequent loss of MLH1 causes concurrent PMS2 degradation; this deficiency in the MutLα complex prevents repair of replication errors, driving the Microsatellite Instability-High (MSI-H) phenotype. Created in BioRender.Chindea, T. (2026) https://BioRender.com/28wycew.
Biomedicines 14 00267 g002
Figure 3. Diet-linked epigenetic signatures with potential clinical utility; These diet-linked epigenetic patterns, measurable through liquid biopsy, could support personalized risk prediction and the monitoring of preventive dietary interventions. Western/High-Fat Diet (Left): Characterised by global genomic instability (hypomethylation of LINE-1) and promoter hypermethylation of tumour suppressors (MLH1, APC, MGMT) and silencing of protective microRNAs (miR-34b/c, miR-137). Mediterranean/High-Fiber Diet (Right): Utilises bioactive compounds to inhibit DNA methyltransferases, restoring normal methylation patterns and reactivating silenced genes. Liquid Biopsy Application (Centre): These signatures can be captured non-invasively via cfDNA and circulating microRNAs to support early detection, risk stratification, and therapeutic monitoring of dietary interventions. Arrows indicate: ↑—upregulated expression; ↓—downregulated expression. Created in BioRender. Chindea, T. (2026) https://BioRender.com/28wycew.
Figure 3. Diet-linked epigenetic signatures with potential clinical utility; These diet-linked epigenetic patterns, measurable through liquid biopsy, could support personalized risk prediction and the monitoring of preventive dietary interventions. Western/High-Fat Diet (Left): Characterised by global genomic instability (hypomethylation of LINE-1) and promoter hypermethylation of tumour suppressors (MLH1, APC, MGMT) and silencing of protective microRNAs (miR-34b/c, miR-137). Mediterranean/High-Fiber Diet (Right): Utilises bioactive compounds to inhibit DNA methyltransferases, restoring normal methylation patterns and reactivating silenced genes. Liquid Biopsy Application (Centre): These signatures can be captured non-invasively via cfDNA and circulating microRNAs to support early detection, risk stratification, and therapeutic monitoring of dietary interventions. Arrows indicate: ↑—upregulated expression; ↓—downregulated expression. Created in BioRender. Chindea, T. (2026) https://BioRender.com/28wycew.
Biomedicines 14 00267 g003
Table 1. Representative genes frequently affected by DNA methylation in colorectal carcinogenesis and their dietary/biological modulation.
Table 1. Representative genes frequently affected by DNA methylation in colorectal carcinogenesis and their dietary/biological modulation.
GeneBiological FunctionRole of Methylation in CRCPossible Dietary/Epigenetic ModulationReferences
MLH1DNA mismatch-repair enzyme maintaining replication fidelity.Gene silencing leading to microsatellite instability (MSI) phenotype; common in sporadic proximal CRCs.Adequate folate and vitamin B12 maintain one-carbon metabolism and prevent hypermethylation; Curcumin and resveratrol may demethylate MLH1 promoter in vitro.[52,54,64].
APCRegulates β-catenin degradation in the Wnt pathway.Leads to Wnt pathway activation and uncontrolled proliferation.Folate deficiency enhances APC methylation; Polyphenols may reactivate APC transcription.[55,72,87,88].
CDKN2A (p16INK4a)Cyclin-dependent kinase inhibitor controlling the G1 to S transition.Suppresses cell-cycle checkpoint leading to unrestrained proliferation.Resveratrol and sulforaphane inhibit DNMTs and restore p16 expression in colon cancer cells.[57,89,90].
MGMTDNA repair enzyme removing O6-methylguanine lesions.Results in reduced DNA repair capacity and increased mutation burden.Folate supplementation may maintain methylation balance; green-tea compounds demethylate promoter in vitro.[58,71,91,92].
RASSF1ARegulates apoptosis and microtubule stability.Silences apoptosis-inducing signalling causing enhanced tumour cell survival.Resveratrol and curcumin shown to demethylate the promoter and restore expression.[76,93].
SFRP1/SFRP2Secreted antagonists of Wnt signalling.Results in constitutive Wnt pathway activation.Polyphenols attenuate Wnt signalling and may demethylate the promoters.[59,94].
CXCL12 (SDF-1)Chemokine controlling leukocyte trafficking and angiogenesis.Suppresses immune surveillance, promotes tumour invasion.High adherence to MD associated with altered methylation of CXCL12 in EPIC-Italy cohort.[46,95].
LINE-1 (repetitive element)Surrogate marker of global DNA methylation.Global hypomethylation correlates with genomic instability and poor prognosis.Folate-rich diets and polyphenol intake maintain LINE-1 methylation levels.[60,96,97].
Table 2. Representative miRNAs studied in colorectal carcinogenesis and their dietary modulation.
Table 2. Representative miRNAs studied in colorectal carcinogenesis and their dietary modulation.
MicroRNAExpression in CRC and TypeBiological FunctionDietary Modulation
(Western vs. Mediterranean Diet)
References
miR-21↑ (oncomiR)Promotes proliferation and invasion.Upregulated by high-fat and red meat consumption.
Downregulated by vitamin D, curcumin, and resveratrol.
[111,119]
miR-17-92 cluster↑ (oncomiR)Promotes cell cycle progression.Upregulated by red meat consumption and obesity.
Downregulated by resveratrol and curcumin.
[113,132,133]
miR-34a↓ (tumor suppressor)Induces apoptosis and senescence.Upregulated by resveratrol, quercetin, and curcumin analogues.
Downregulated by calorie restriction
[134]
miR-27a↑ (oncomiR)Plays a role in proliferation, apoptosis, invasion, angiogenesis.Upregulated by high-fat diet and obesity.
Downregulated by curcumin and quercetin.
[135,136]
miR-627↓ (tumor suppressor)Targets a histone demethylase.Upregulated by vitamin D (calcitriol).
Downregulated by vitamin D deficiency.
[104]
miR-126↓ (tumor suppressor)Inhibits tumor growth and
metastasis.
Upregulated by polyphenols and fish oils.
Downregulated by obesity.
[120,137,138,139]
Arrows indicate: ↑—upregulated expression; ↓—downregulated expression.
Table 3. Diet-sensitive miRNAs and their methylation status in colorectal cancer.
Table 3. Diet-sensitive miRNAs and their methylation status in colorectal cancer.
miRNAFunctional RoleTarget/PathwayMethylation/Epigenetic MechanismKey References
miR-34b/cTumor suppressorp53, apoptosis, cell cyclePromoter CpG island hypermethylation (CIMP-high); reactivated by butyrate, polyphenols[32,143,159].
miR-137Tumor suppressorWnt/β-catenin, RNF4Hypermethylated in BRAF-mutant/CIMP+ CRC; reversible by folate/B12 repletion[143,160].
miR-143/145Tumor suppressor clusterKRAS, IGF1R, ERKDNMT1-mediated promoter methylation; demethylated by SCFAs (butyrate)[161].
miR-342Tumor suppressorDNMT1 feedback loopAberrant methylation in serrated lesions; diet-sensitive[146,147,162].
miR-124/miR-129Tumor suppressorSTAT3, PI3K/AKTMethylated in CIMP-high and inflammatory CRC[147,163,164].
miR-21OncomiRPTEN, NF-κB, PI3K/AKTUpregulated under Western diet; induced by inflammation rather than methylation[165,166,167].
miR-135bOncomiRAPC/WntInduced by high-fat diet, inflammatory cytokines; not silenced by methylation[121].
miR-200cTumor suppressorEMT regulators (ZEB1/2)Promoter methylation reversible by polyphenols (resveratrol, EGCG)[168,169].
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Chindea, T.; Nicu, A.-T.; Cimponeriu, G.D.; Galateanu, B.; Hudita, A.; Șerban, M.V.; Nica, R.I.; Burlibasa, L. Diet-Driven Epigenetic Alterations in Colorectal Cancer: From DNA Methylation and microRNA Expression to Liquid Biopsy Readouts. Biomedicines 2026, 14, 267. https://doi.org/10.3390/biomedicines14020267

AMA Style

Chindea T, Nicu A-T, Cimponeriu GD, Galateanu B, Hudita A, Șerban MV, Nica RI, Burlibasa L. Diet-Driven Epigenetic Alterations in Colorectal Cancer: From DNA Methylation and microRNA Expression to Liquid Biopsy Readouts. Biomedicines. 2026; 14(2):267. https://doi.org/10.3390/biomedicines14020267

Chicago/Turabian Style

Chindea, Theodora, Alina-Teodora Nicu, Gheorghe Dănuț Cimponeriu, Bianca Galateanu, Ariana Hudita, Mirela Violeta Șerban, Remus Iulian Nica, and Liliana Burlibasa. 2026. "Diet-Driven Epigenetic Alterations in Colorectal Cancer: From DNA Methylation and microRNA Expression to Liquid Biopsy Readouts" Biomedicines 14, no. 2: 267. https://doi.org/10.3390/biomedicines14020267

APA Style

Chindea, T., Nicu, A.-T., Cimponeriu, G. D., Galateanu, B., Hudita, A., Șerban, M. V., Nica, R. I., & Burlibasa, L. (2026). Diet-Driven Epigenetic Alterations in Colorectal Cancer: From DNA Methylation and microRNA Expression to Liquid Biopsy Readouts. Biomedicines, 14(2), 267. https://doi.org/10.3390/biomedicines14020267

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