- 1Department of Biochemistry, Institute of Home Economics, University of Delhi, New Delhi, India
- 2Department of Microbiology, Swami Shraddhanand College, University of Delhi, New Delhi, India
Cancer cells have the ability to reprogram their metabolism to meet the proliferative and survival demands. These metabolic alterations involve the formation of many active metabolites associated with epigenetic modifications or remodelling together driving tumourigenesis through self-perpetuating feedback loops. Among the various metabolic stressors, reducing sugars, principally glucose and fructose, lactate, acetyl-CoA, glycolytic intermediates such as 3-deoxyglucosone, glyoxal, polyol pathway metabolites, and methylglyoxal effectively modulate the chromatin remodelling and gene expression. These processes lead to dysregulated DNA methylation and histone modifications involving acetylation, methylation, polysialylation, lactylation, and glycation establishing a tumourigenic environment. Elevated levels of reducing sugars and glycolytic intermediates also contribute to the formation of a large group of reactive molecules termed advanced glycation intermediates (AGIs) and advanced glycation end products (AGEs), which interact with their receptor RAGE to activate signalling cascades resulting in oxidative stress, inflammation, and aberrant gene regulation. Furthermore, the AGE-RAGE axis reprograms cancer metabolism influencing key signalling pathways including PI3K/AKT/mTOR and NF-κB. The epigenetic alterations and metabolic perturbations induced by reducing sugars and non-enzymatic glycation reactions also influence the tumour microenvironment (TME) through extracellular matrix (ECM) remodeling, angiogenesis, and immune evasion. This review elucidates the crosstalk between metabolic reprogramming, AGE-RAGE-mediated signalling, and epigenetic modulation that forms a complex network associated with cancer initiation, progression, and resistance to therapy. Understanding the molecular interplay between these pathways could pave the way for novel metabolic and epigenetic therapeutic strategies aimed at disrupting this vicious cycle and impeding tumour growth.
1 Introduction
In normal cells, different cellular processes are under fine regulation, and certain dysregulation could turn a normal cell into a neoplastic cell. Metabolic dysregulation is one of the hallmarks of cancer cells (Hanahan, 2022). Rapidly growing cancer cells require a large quantity of cellular building blocks and energy to sustain their growth which they achieve through metabolic reprogramming. The intermediates of glycolysis being central to metabolism serve as the precursors to these building blocks (Gatenby and Gillies, 2004). Swift utilisation of glucose and consequent lactate production even in the presence of oxygen via the Warburg effect is a hallmark of cancer cell metabolism (Warburg et al., 1927). This rapid utilisation of glucose provides quick ATP via substrate level phosphorylation to support the need for rapid cancer cell division. Along with glucose, fructose is also known to promote anaerobic glycolysis thereby favouring cancer cell proliferation (Nakagawa et al., 2020). Cancer cells generally have an increased activity and expression of many enzymes including hexokinase 2 (HK2), pyruvate kinase M2 (PKM2) and lactate dehydrogenase A (LDH-A) isoenzyme which together ensure a high rate of glycolysis and availability of its intermediates (Hay, 2016). These enzymes and associated metabolites are also known to alter the epigenetic state of DNA and chromatin in cancer cells (Miranda-Goncalves et al., 2018; Verma and Lindroth, 2025; Wang P. et al., 2024).
Epigenetic signature of DNA and chromatin in eukaryotes is dynamic in nature wherein the local and global signature is known to alter in conditions such as cell division, metabolic disorders, obesity and cancer (Eden et al., 2003; Feinberg and Vogelstein, 1983; Jones and Baylin, 2002; Kaimala et al., 2025). Such alterations in the DNA/chromatin drastically affect the metabolic behaviour of cells. Apart from merely feeding the tumours, high glucose and fructose alter the level of several cofactors including acetyl-CoA, UDP-GlcNAc, α-KG, NAD+, SAM, and lactate to modulate the chromatin structure (Verma and Lindroth, 2025). These cofactors in turn affect the DNA and histone modifications such as DNA methylation, histone methylation, acetylation, phosphorylation, which subsequently alters cancer cell metabolism and promotes cancer proliferation (Wu et al., 2018). Thus, there exists a dynamic relationship between epigenetic state and metabolism (Haws et al., 2020).
Apart from altering the cofactor level, reducing sugars also produce other reactive intermediates that have the potential to affect the epigenome (Perrone et al., 2020). Reducing sugars such as glucose and fructose and their reactive metabolites are known to produce AGEs during metabolic dysregulation in cancer which in turn are recognized to promote cancer aggression and progression (Shen et al., 2024). Glucose and fructose both can produce AGEs though fructose is chemically more reactive than glucose in producing AGEs (Gugliucci, 2017). AGEs show their detrimental effects by interacting with receptors, namely, receptor of advanced glycation end products (RAGE) causing a pro-inflammatory signalling cascade. Several studies have noted a higher predisposition towards metastasis and poor prognosis in cancer patients having diabetes compared to non-diabetic cancer patients (Shahid et al., 2021). Long term hyperglycaemia and corresponding increased AGEs suggests a prevailing connection of AGEs with increased metastatic potential of cancer cells (Rojas et al., 2018). The present review focuses on altered metabolic pathways in cancer cells, highlighting how a sugar-rich environment (glucose/fructose) and glycolytic intermediates contribute to the accumulation of AGEs, which in turn induce oxidative stress, inflammation, and extracellular matrix remodelling. This review also delineates the AGE-RAGE-mediated pathways that drive the oncogenic environment inside the cells budding from altered rates of metabolic pathways, glycolytic stress and epigenetic effects. These changes synergistically support the cancer metabolism promoting tumour growth, survival, and progression (Figure 1).
Figure 1. Schematic representation of the cascade associated with altered metabolic rewiring, reducing sugars utilisation, advanced glycation products formation and mediated epigenetic changes. Elevated glycolysis leads to the accumulation of AGIs like methylglyoxal and glyoxal. These AGIs are capable of glycating histones (H3, H4), methylation enzymes (DNMTs, HATs) and DNA bases which results in changed chromatin accessibility, histone code interference and abnormal DNA methylation. Simultaneous up regulation of AGE-RAGE signalling leads to activation of various altered signalling cascades, inflammation and generation of reactive oxygen species (ROS). The synergistic effects of these lead to facilitation of oncogenic environment exhibiting DNA instability, angiogenesis, invasion and increased metastatic potential.
2 Reducing sugars, epigenetic and cancer
2.1 Elevated glucose concentration, cancer metabolism and epigenetics
Glucose serves as the primary energy source for normal cells and as discussed above even more so for cancer cells. Metabolism of normal cells is regulated through hormones like insulin and insulin-like growth factor-I and II (IGF-I and IGF-II) (Gallagher and LeRoith, 2010). Certain metabolic disorders like type II diabetes (T2D), metabolic dysfunction associated fatty liver diseases (MAFLD) and obesity are known to promote tumourigenesis due to altered metabolism and associated epigenetic changes (Cheng et al., 2018; Long et al., 2024; Moslehi and Hamidi-Zad, 2018). Some cells depend on insulin signal for internalisation of glucose whereas brain, liver, RBCs, kidney, endothelium are independent of insulin and hence more vulnerable to hyperglycaemia associated complications (Mallik et al., 2024). PPAR
In normal cells AMPK is known to act as glucose and energy sensor while TET2 is the main DNA demethylating enzyme (Hardie et al., 2012; Wang et al., 2018). TET2 is an α-ketoglutarate- and Fe2+-dependent dioxygenase (α-KGDDs) epigenetic enzyme maintaining DNA methylation by converting 5-methylcytosines (5mCs) to 5 hydroxymethylcytosine (5hmC)(Rasmussen and Helin, 2016). Under physiological conditions AMPK mediates phosphorylation of TET2 thereby protecting it and maintaining its tumour suppressive activity. But in cancers like hematological malignancies, particularly myeloid neoplasms, high glucose levels cause AMPK inactivation leading to destabilization of TET2 causing hypermethylation of DNA (Wu et al., 2018). The intrinsic TET2 mutations in mouse and human studies were demonstrated to be activated through extrinsic factors like hyperglycemic stress as seen in acute myeloid leukemia (AML) and Myelodysplastic Syndromes (MDS) wherein the TET2 destabilization leads to further aggravation of preleukemic status (Arcidiacono et al., 2012; Cai et al., 2021).
The ability of biological system to modify the cellular metabolism in response to nutrient availability is central to sustaining metabolic homeostasis. Glucose, fatty acids, acetate, glutamine and lactate can contribute to acetyl-CoA production. It is a central metabolite and the primary acetyl group donor for histone acetylation influencing histone acetylation and genomic functions impacting cancer progression (Feron, 2019; Shi and Tu, 2015). Overproduction of acetyl-CoA causes the histone acetyltransferases (HATs) to promote global histone acetylation which modifies the chromatin structure, making it easily accessible to transcription factors thus causing hyperexpression of growth-related genes ultimately promoting tumourigenesis (Lee et al., 2013; Miziak et al., 2024). Excess glycolysis in cancerous cells leads to lactate accumulation, which is responsible for the acidification of the tumour cell microenvironment. Lactate is also involved in suppressing anti-tumour immune response, supporting drug resistance, invasion and inflammation, along with epigenetic modifications like lactylation (Chen et al., 2024).
Glucose is the main fuel source in cancer cells and its role in epigenetically mediated tumour cell regulation requires further investigation. Silent Information Regulator 1 (SIRT1) a NAD+-dependent class III histone deacetylase enzyme maintains glucose homeostasis, regulates deacetylation and act as key player in the progression of malignant tumours (Hashemi et al., 2025). SIRT1 suppresses tumours and its lowered expression is associated with poor prognosis in patients with glioma (Chen et al., 2019). Recently, it was reported that high concentrations of glucose in cancerous cells can promote the proliferation, migration, and invasion of glioma cells, by down-regulating the SIRT1 expression leading to increased levels of acetylated High Mobility Group Box 1 (HMGB1)(Wang Y. et al., 2024). On the other hand, deacetylation of the histones has also been reported in diabetes and cancer through the altered NAD+/SIRT1 pathway (Kitada and Koya, 2013; Liu and McCall, 2013). The availability of NAD+, the cell’s energy equivalent, is critical for SIRT1’s activity (Canto and Auwerx, 2012). SIRT1 removes acetyl groups from histone proteins especially H3K9 and H4K16, involved in gene expression and regulation. The deacetylation of these histones creates a more condensed chromatin structure, thus inhibiting gene transcription. This enzyme also deacetylates nonhistone proteins like p53, FOXO typically implicated in cancer and diabetes (Lee and Gu, 2013; Voelter-Mahlknecht and Mahlknecht, 2010).
SIRT1 is known to play roles of both tumour promoter and suppressor based on cellular context and type of cancer (Deng, 2009). SIRT1 expression is found elevated in certain breast and colorectal cancer subtypes where it promotes cancerous growth by deacetylation and inhibiting p53-like tumour suppressor proteins (Dong et al., 2024; Rifai et al., 2017). Cancer spreads as a result of the inhibition of apoptosis and regulatory pathways linked to metastasis and drug resistance. In other cancers like gastric, hepatocellular carcinoma (HCC) and bladder carcinoma, and some cases of breast and ovarian cancers, based on unique cellular locations, SIRT1 expression is downregulated (Farcas et al., 2019; Hu et al., 2017; Yang et al., 2013). In gastric cancers the growth is inhibited through downregulation of the oncogene ARHGAP5 expression and the transcription of Cyclin D1 (CCND1) via NF-κB pathway (Yang et al., 2013). In HCC based on the cellular localization of the upstream and downstream molecules, SIRT1 reflects dual behaviour which needs further investigation (Fang and Nicholl, 2011).
High intracellular glucose also activates the polyol pathway (PP) that diverts glucose metabolism toward fructose production, promoting oxidative stress, inflammation, and chemoresistance. Schwab et al. (2018) reported a connection between glucose-transforming PP and epithelial-to-mesenchymal transition (EMT) in cancer cells which enables them a strongly invasive and drug-resistant phenotype (Schwab et al., 2018). Polyol pathway involves the conversion of glucose into fructose by two step enzymatic reactions catalysed by aldose reductase (AKR1B1) and sorbitol dehydrogenase (SORD) (Hers, 1956). Under normoglycemic conditions the activity of PP is seems to be negligible but under hyperglycemic conditions, such as diabetes its activity is increased and is associated with numerous diabetic complications (Gonzalez et al., 1984; Morrison et al., 1970). Due to the glucose dependency in cancer, as well as the role of oxidative stress-induced inflammation, PP can be regarded as an excellent target to study the progression of cancer. Importance of PP in tumourigenesis has also been demonstrated in various studies where the impairment in the function of the rate-limiting enzyme of PP, AKR1B1 diminishes cell growth, formation of precancerous lesions, migratory capabilities as well as metastasis (Tammali et al., 2006; Tammali et al., 2011). Recently, Schwab et al. (2025) also explored the importance of PP in genetic and pharmacological manipulations studies in in-vitro and in murine xenograft models where they revealed that PP activity is indispensable for non-small cell lung cancer (NSCLC) growth and survival (Schwab et al., 2025). PP deficiency was found to be responsible for multifactorial deficits associated with ATP deficiency and DNA damage leading to induction of apoptosis. They also showed that fructose produced by the PP as well as other non-glycolytic hexoses, promotes cancer cell survival and resistance to chemotherapy by maintaining NF-κB activity and inducing an oxidative metabolic shift (Schwab et al., 2025). Considering the importance of PP on cancer cell growth and survival, it can be considered as a candidate for future therapeutic approaches against cancer progression.
High glucose concentration and reactive glycolytic intermediates are also associated with increased production of AGEs. These are the complex group of compounds that can be formed through different mechanisms involving Maillard reaction, glucose oxidation and peroxidation reactions and through the polyol pathway (Bansal et al., 2023). The importance of AGEs in development and progression of cancer has drawn the attention of researchers in recent years. AGEs can mediate several epigenetic effects in cancer cells via different mechanisms such as upregulation of the expression of TET1 which is involved in DNA demethylation and the induction of stress and activation of downstream signalling pathways which are further discussed in the later sections (Turner, 2017; Wu et al., 2023).
2.1.1 Lactylation and epigenetics
Altered metabolism in cancer cells also entails increased production of lactate which promotes lactylation, wherein lactate molecules bond to lysine residues on histones and other proteins. This post translation modification (PTM) is noteworthy since high lactate levels are a hallmark of the Warburg effect in cancer cells (Fan et al., 2025). The relationship between the increased production of lactate and lactylation provides new insights in understanding the association between metabolic and epigenetic changes in cancerous cells. Lactylation is induced owing to high intracellular lactate levels due to Warburg effect as well as due to the re-entry of extracellular lactate via monocarboxylic acid transporters (MCT1/2) or activate G protein-coupled receptors (GPR81) which stimulates the MAPK/ERK pathway further increasing the level of MCT expression as positive feedback regulation. Lactylation promotes tumourigenesis through several mechanisms like stimulating cancer promoting signalling pathways (JAK-STAT and PI3K/Akt/mTOR) which activates certain oncogenes (Sun M. et al., 2025). On the other hand in endometrial cancer, inhibition of histone lactylation correspondingly reduced PI3K/Akt/HIF-1α signalling and lactate generation due to reduction in glycolytic gene (Wei et al., 2024). Also, lactylation in immune cells like tumour-associated macrophages (TAMs) and regulatory T cells (Tregs) induces an immunosuppressive microenvironment which boosts the cancer growth. These cells release inhibitory factors, dampen the responses of natural killer (NK) cells and T cells, facilitate tumor immune evasion, and ultimately support tumour progression (Zhang et al., 2022). Yang et al. (2022) reported significantly higher levels of lactylation in gastric cancer tissues than in adjacent tissues which was associated with poor prognosis (Yang et al., 2022). Hypoxia-induced glycolysis enhances β-catenin stability and expression through increased lactylation, thereby promoting the malignant proliferation of colorectal cancer cells (Miao et al., 2023). Specifically, lactylation at H4K12 has arisen as a potential biomarker for multiple malignancies (Rejili, 2025; Zhang et al., 2025b). Further, lactylation of H3K9 has been reported to activate angiogenesis by increased expression of certain pro-angiogenic genes. Also, DNA repair proteins like MRE11 and NBS1 when lactylated show improved functionality thereby providing resistance to chemotherapy (Sun Y. et al., 2025). Histone lactylation at H3K18 via cyclin B2 (CCNB2), KRT19 and lncRNA NEAT1 were recently reported to promote glycolysis and tumor progression in PDAC, NSCLC and hemangioma (Li et al., 2024; Ma et al., 2025; Zhang et al., 2025a). Furthermore, lactylation of HNRNPA1 promoted metabolic reprogramming via splicing of PKM2 in bladder cancer (Wang T. et al., 2025). Also, histone lactylation promotes the proliferation of BRAF-mutant undifferentiated thyroid cancer cells. In vitro studies have demonstrated that BRAFV600E reprograms cellular protein lactylation to enhance anaplastic thyroid cancer (ATC) growth, and that inhibiting the lactylation machinery synergizes with BRAFV600E inhibitors to suppress ATC progression. (Wang et al., 2023). Yang Z. et al. (2023) demonstrated that lactylation enhances the proliferation and metastasis of liver cancer cells by suppressing adenylate kinase 2 (AK2) activity. They performed global lactylome profiling on a prospectively collected hepatitis B virus-related hepatocellular carcinoma (HCC) cohort and identified 9,256 lysine lactylation sites on non-histone proteins. They noticed that lactylation at K28 inhibits the function of AK2, facilitating the proliferation and metastasis of HCC cells (Yang Z. et al., 2023). Based on the ample evidence, lactylation has emerged as an important PTM which links altered carbohydrate metabolism to epigenetic regulation in cancer (Table 1).
2.2 High fructose, cancer metabolism and epigenetics
Effects of excess fructose in cancer cells have not been explored adequately, yet emerging evidence indicates that fructose plays a significant role in reshaping cancer metabolism and epigenetic regulation. In certain cancers fructose-derived lipids serve as a preferred carbon source for membrane biosynthesis and growth (Fowle-Grider et al., 2024). Cancer types like HCC, lung cancers and glioblastoma multiforme (GBM) switch to fructose metabolism when glucose is deficient or absent by upregulating GLUT5 expression (Chen et al., 2022; Chen et al., 2025; Santhekadur, 2020). Notably, fructose bypasses the regulatory mechanisms of glycolysis through phosphorylation by ketohexokinase (KHK), yielding fructose-1-phosphate (F1P) enabling cancer cells to sustain bioenergetic and biosynthetic demands independently of glucose availability (Chen et al., 2020; Ting, 2024; Wright et al., 2007).
Dietary fructose is transported through GLUT5 and/or GLUT2 into hepatocytes, independent of insulin (Ferraris et al., 2018). Because fructokinase/KHK is poorly regulated (Tee et al., 2022), fructose metabolism circumvents two rate-limiting steps, regulation by phosphofructokinase and the regulatory influence of insulin (Basciano et al., 2005). Excess fructose is therefore rapidly shunted into de novo lipogenesis (DNL) and glycogenesis (Gorczynska-Kosiorz et al., 2024). Sustained fructose overload leads to metabolic dysregulation characterised by insulin resistance and obesity (Basciano et al., 2005; Stanhope et al., 2009). Consequently, elevated acetyl-CoA promotes acetylation of H3K9 and H3K27 at inflammatory, lipogenic, and glycolytic gene promoters (He et al., 2023). Additionally, F1P activates sterol regulatory element binding protein-1 (SREBP-1), a key regulator of lipogenesis, thereby promoting pro-carcinogenic milieu including increased fatty acyl synthase activity, along with promotion of migration and invasion via mTOR pathway (Brouwers, 2022; Hannou et al., 2018; Kim et al., 2012). Moreover, ALDOB (aldolse B) which is critical for fructose metabolism has also been reported to promote fructose dependent liver cancer cell metastasis (Bu et al., 2018).
2.2.1 Epigenetic consequences of fructose induced metabolic shifts and tumourigenesis
Fructose’s influence extends beyond metabolic rewiring to directly affect epigenetic landscape. Excess fructose been linked to the risk of pancreatic, prostate and small intestinal cancers (Aune et al., 2012; Carreno et al., 2021; Goncalves et al., 2019; Port et al., 2012; Senavirathna et al., 2023).
A distinct feature of fructose metabolism is its preferential routing through the non-oxidative branch of Pentose Phosphate Pathway (PPP). Increased activity of glucose-6-phosphate dehydrogenase and transketolase in cancer cells enhances ribose-5-phosphate availability for nucleotide and uric acid synthesis thereby providing proliferative advantages (Benito et al., 2017). Elevated fructose flux also overloads fructose-6-phosphate and glyceraldehyde-3-phosphate which are shunted for production of acetyl-CoA (Cho et al., 2018), which leads to increased histone acetylation thereby leading to upregulation of pro-inflammatory and pro-fibrotic genes contributing to hepatic tumourigenesis (Assante et al., 2022; Bradshaw, 2021). Hence, increased fructose intake can drive diverse epigenetic modifications including altered DNA methylation, histone marks and non-coding RNA expression (DiStefano, 2020; Sud et al., 2017).
2.2.2 Fructose driven epigenetic crosstalk and metabolic dysregulation
In cancers lacking KHK expression, fructose metabolism can be outsourced to the liver where tumour cells hijack liver-derived lipids especially lysophosphatidylcholines (LPCs) to support accelerated proliferation (Park et al., 2021). Such metabolic cross talk has been observed in animal models of melanoma, breast cancer, and cervical cancer and HCC wherein high fructose consumption increased tumour burden without impacting the body weight or insulin levels (Fowle-Grider et al., 2024). Beyond lipogenesis, high fructose intake enables rapid production of dicarbonyl precursors, at even higher rates than glucose (Gensberger et al., 2013; Hattori et al., 2021). This in turn promotes AGEs accumulation, contributing to peripheral insulin resistance, dyslipidemia, inflammation, elevated uric acid levels all of which are tightly linked to tumourigenesis (Collino, 2011).
Population studies have reinforced the above mechanistic observations. A large cohort-based study involving 435,674 individuals found that dietary fructose specifically increased the risk of intestinal cancers whereas other added sugars (including mono-and disaccharides) were associated with esophageal adenocarcinoma (Tasevska et al., 2012). In colorectal cancers among African-American individuals, excess fructose intake corresponded to unique differential methylated regions (DMR) in DNA affecting flux through pathways such as fatty acid metabolism and glycolysis. These modifications also alter LDHA expression, highlighting an interaction between diet, metabolic reprogramming, and racial disparities in cancer susceptibility (Devall et al., 2025).
Excess fructose consumption is a major contributor to NAFLD and non-alcoholic steatohepatitis (NASH) which often progresses to hepatic carcinoma. DNL driven lipid accumulation, inflammation and oxidative stress create a pro-oncogenic hepatic environment (Dewdney et al., 2020; Geidl-Flueck and Gerber, 2023). Fructose metabolism additionally depletes S-adenosylmethionine (SAM), thereby reducing the SAM/S-adenosylhomocystein (SAH) ratio thereby reducing DNA and histone methylation. This shift favours expression of lipogenic genes and exacerbates fatty liver progression. (Kim and Min, 2020; Verma and Lindroth, 2025). Because the SAM:SAH ratio (methylation index) dictates methylation potential, its reduction leads to widespread hypomethylation (Gao et al., 2018; Xiao et al., 2022). Thus, from acetylation to methylation, fructose driven multiple mechanisms contribute to altered epigenetic changes driving cancer metabolism (Table 1).
3 Glycation intermediates, chromatin glycation, and epigenetics in cancer
Glycolysis and other connected pathways such as gluconeogenesis and PPP are known to spontaneously produce highly reactive α-ketoaldehydes (dicarbonyl compounds) as by-products namely, glyoxal (GO), methylglyoxal (MGO) and 3-deoxyglucosone (3-DG). Since cancer cells hyperactively utilize glucose, it is pertinent that such cells would produce higher levels of these dicarbonyl compounds also (Moldogazieva et al., 2019). These three metabolites are potent glycation agents and therefore these are collectively known as AGIs which cause the formation of AGEs. Three carbon sugars, primarily Glyceraldehyde-3-phosphate (G3P) and Dihydroxyacetone phosphate (DHAP) are known to produce minute amounts of MGO which in turn reacts with DNA and proteins in a non-enzymatic manner under physiological conditions (Phillips and Thornalley, 1993). Mammalian cells have enzymatic mechanism, namely, glyoxylases to defend against the MGO but immunohistochemistry analyses revealed high levels of MGO and low glyoxylase activity in 102 colorectal cancer patients with advanced stage tumours compared to early-stage tumours suggesting a pro-tumour role of MGO (Chiavarina et al., 2017). Apart from spontaneous production of MGOs, enhanced utilisation of sugars promotes ROS generation due to redox imbalance in cancer cells (Nakamura and Takada, 2021). This in turn promotes both sugar oxidation and lipid peroxidation. Peroxidation of lipids especially of polyunsaturated fatty acids (PUFA) by ROS promotes the formation of reactive carbonyl species (RCS) namely, malondialdehyde (MDA) and 4-hydroxynonenal (4-HNE) both of which further promote AGEs production (Barrera et al., 2018; Li et al., 2022). Glutathione (GSH) plays a vital role in mitigating oxidative damage and detoxification of MGO via the glyoxylase system. Oxidative stress depletes reduced GSH, thereby helping in MGO build-up which in turn promotes accumulation of AGEs (Reddy, 2023). AGEs further promote ROS build up by activating receptors of AGEs therefore making the whole scenario cyclic and never ending in cancer cells.
Non-enzymatic glycation on DNA and histones affects the histone-histone and histone-DNA interactions in chromatin which in turn influence epigenetic regulation. Basic nature and long half-lives of histone proteins make them highly susceptible to glycation and the emerging evidence indicates that glycation-mediated epigenetic alterations can influence cellular function by modulating the expression of key metabolic genes. Sugars, and their derivatives including MGO, glyoxal and dicarbonyls are highly reactive glycation intermediates, where the extent of glycation reactions depends on the time and concentration of AGIs (Rehman et al., 2022; Tessier, 2010).
3.1 AGIs and histone modification
Histone modification is known to change the gene expression dynamics. Cellular metabolism is closely associated with methylation and acetylation of histones (Fan et al., 2015). Specific histone tail PTMs promote either heterochromatin or euchromatin formation at precise locations in the genome (Jenuwein and Allis, 2001). Such modifications are known to play a pivotal role in tumourigenesis (Thompson et al., 2013). Histone tails having lysine and arginine are predominantly vulnerable to modification by glyoxal and MGO (Ray et al., 2022). MGO has been shown to react more with arginine compared to lysine on histone tails. N terminus of H3/H2A/H2B/H4 was found to be extensively modified (H3 being more susceptible) due to MGO which in turn affected canonical PTMs such as acetylation on these histone tails in multiple cancer cell lines (Galligan et al., 2018; Zheng et al., 2019).
Enzymes involved in the PTMs of histones use a wide variety of carbohydrate derived metabolites that serve as precursors. Examples include acetyl-CoA diverted towards histone acetyltransferases (HATs) wherein increased acetylation opens the chromatin structure making it more prone to aberrant expression stimulating tumourigenesis (Bradshaw, 2021; Fan et al., 2015). Similarly, phosphorylation of histone H3 is catalysed by the glycolytic enzyme PKM2, leading to removal of histone deacetylase HDAC3 from chromatin, resulting in increased H3K9 acetylation thereby activating oncogene expression promoting tumourigenesis (Yang et al., 2012). Another important post-translational modification is Histone GlcNAcylation (O-GlcNAcylation) wherein sugars like glucose, fructose, or glycolysis by-products glycosylate histones H3 and H4 disrupting the nucleosome assembly, reducing histone acetylation and reducing the activity of histone demethylases like EZH2 leading to dysregulated gene expression and increased cancer progression (Khan et al., 2024; Yang Y. H. et al., 2023; Zheng et al., 2019).
MGO adducts on histone tails neutralise the positive charge of histones affecting the tight binding of histone proteins with DNA thereby promoting decompaction of chromatin (Zheng et al., 2019). The consequences of MGO levels on chromatin are dose-dependent: low-level MGO neutralization leads to loosening of chromatin and transcriptional upregulation (resembling acetylation), whereas chronic/high MGO exposure causes crosslinks among histones and DNA, inducing chromatin compaction and gene silencing. Glycation of histones due to MGO in breast cancer cell lines, xenografts and patient tumours results in disruption of chromatin structure and function contributing to genomic instability and cancer progression (Knorlein et al., 2023; Zheng et al., 2019). MGO induced histone glycation “rewrites” the epigenetic histone code by adding bulky, irreversible marks, and this remodelling of chromatin structure can profoundly influence gene expression (Knorlein et al., 2023; Scumaci and Zheng, 2023). Glycation due to MGO and GO also shows epigenetic effects on cancer development by interfering with the expression of sialyltransferases (STs) (Scheer et al., 2020; Selke et al., 2021; Schildhauer et al., 2023b). These STs play an important role in cell migration, invasion, and promoting stemness (Falconer et al., 2012; Sato and Kitajima, 2021). Polysialylation has been reported on neural cell adhesion molecules (NCAM) in neuroblastoma cells (Gluer et al., 1998; Schildhauer et al., 2023b) analyzed the effect of glycation on mRNA levels of STs and they observed the upregulation of STs mRNA levels in LN22 cells (Schildhauer et al., 2023b). A possible mechanism that can account for the association of glycation with expression of STs is by interaction with the histones. Emerging evidence suggests that the glycation of histones at arginine and lysine residues may epigenetically modulate the DNA thereby, affecting the transcriptional changes associated with aberrant sialylation and STs expression (Knorlein et al., 2023). Therefore, polysialylation due to increased glycative stress in cancer, may contribute to enhanced invasion and a markedly more aggressive phenotype (Table 1). Thus, MGO mediated modifications exert a widespread effect on histone PTMs thereby, thereby influencing the nucleosome assembly, stability, and overall chromatin organization. Apart from MGO induced histone modifications, ribose and its derivatives such as the ubiquitous ADP-ribose, have also been noticed to glycate all four core histones as well as the linker histone H1. In solution, the core histones react more rapidly with ribose than H1, however, within chromatin, the pattern reverses and ribose modifies the linker histone more quickly than the core histones (Maksimovic and David, 2021). Maksimovic et al. (2020) demonstrated that similar to MGO glycation, ribose glycation alters the histone properties and is involved in epigenetic changes. To confirmed this, they cultured 293T cells with increasing concentrations of D-ribose and studied the PTMs on histones by Western blotting. They observed that the signals for general acetyl-lysine (pan-KAc) and histone H3 lysine-9 dimethylation (H3K9Me2) were reduced upon ribose treatment, whereas the signal for H3 lysine-36 trimethylation (H3K36Me3) remained unchanged (Maksimovic et al., 2020).
3.2 AGIs and DNA methylation
Altered DNA methylation, a classic marker of epigenetic regulation, is directly influenced by glycolytic intermediates and any perturbation in this process can significantly contribute to tumourigenesis (Maleknia et al., 2023). Aberrant DNA methylation mediated by methyl transferase can promote tumourigenesis through multiple mechanisms. Hypermethylation of promoter regions can lead to silencing of tumour suppressor genes, such as Fructose-1,6-bisphosphatase (FBP-1) and Fructose-2,6-bisphosphatase (FBP-2), which are required to stimulate gluconeogenesis and inhibit glycolysis. This silencing supports predominantly glycolytic phenotype that promotes tumour cell growth (Wang M. et al., 2025). Conversely, hypomethylation of promoter regions can lead to inappropriate activation of oncogenes or genes promoting glucose uptake, such as Glucose Transporter 1 (GLUT1) and HK2, enhancing aerobic glycolysis and overall tumourigenesis (Goel et al., 2003; Wolf et al., 2011).
MGO has been shown to promote metastasis in breast cancer via activation of the MEK/ERK/SMAD1 pathway (Nokin et al., 2019). Similarly, breast cancer models have demonstrated that MGO induced stress achieved through Glyoxylase-1 (GLO1) knockdown dramatically upregulates DNA Methyltransferase 3 beta (DNMT3B) and causes global DNA hypermethylation of metastasis-suppressor genes thereby promoting metastatic progression. Collectively these findings establish MGO as an oncometabolite downstream of the Warburg effect (Dube et al., 2023). Notably, MGO scavengers such as carnosine and aminoguanidine mimic DNMT inhibitors by down-regulating DNMT3B, reverse hypermethylation and re-activating silenced genes, ultimately suppressing metastasis (Nokin et al., 2016) (Table 1).
4 AGE-RAGE axis in cancer
Cancerous cells continuously produce high levels of AGEs due to aberrant metabolic activity characterised by enhanced aerobic glycolysis and increased generation of glycolytic intermediates (Leone et al., 2021; Vaupel and Multhoff, 2021). PTMs induced by AGEs and their intermediates alter the protein structures and functions leading to glycative stress, stimulation of inflammation and increased oxidative stress. These processes contribute to DNA modification and dysregulated cell signalling pathways that promote cancer cell proliferation and survival (Alfarouk et al., 2021; Chiavarina et al., 2017).
AGEs exhibit their deleterious effects primarily through interaction with certain receptors which may exist in soluble form or be expressed at cell surface. Key AGEs binding proteins include AGE-R1 (oligosaccharyltransferase-48), AGE-R2 (80KD-phosphoprotein), AGE-R3 (galectin-3) and RAGE (Bierhaus et al., 2005; Yan et al., 2010). AGEs largely display their effects by interacting with cell surface receptor RAGE, which is the best characterised receptor for AGEs. RAGE is an approximately 45-kDa protein, multiligand receptor belonging to the immunoglobulin superfamily and is expressed on the cell-surface of endothelium, vascular smooth muscle cells, and invading mononuclear phagocytes (Cross et al., 2024; Schmidt et al., 2001). Its widespread tissue distribution underscores its pivotal role in governing cellular properties through various pathways/mechanisms.
Enhanced AGEs formation induces RAGE expression associated with many chronic conditions such as diabetes, renal dysfunctions, cardiovascular diseases, and aging. Although, the involvement of the AGE/RAGE is well established in these disorders, its role in cancer development remains unexplored. The activation of RAGE by AGEs in cancer cells triggers a cascade of intracellular signalling that ultimately leads to the upregulation of glycolytic enzymes, promoting glycolysis and Warburg effect (Zhou et al., 2022). The AGE-RAGE interaction also activates the STAT3/Pim1/NFAT axis, which maintains a high transcription rate of RAGE through a positive feedback mechanism further amplifying RAGE expression (Meloche et al., 2011; Zhang et al., 2020) reported elevated expression of RAGE by AGEs can promote tumour growth and suppress antitumour responses in the GL261 glioma model through upregulation of HMGB1. Additionally, increased HMGB1 released within the tumour microenvironment further enhances RAGE expression, increased tumour inflammation and angiogenesis in GL261 cell line and murine gliomas (Chen et al., 2014; Zhang et al., 2020).
Glycative stress resulting from AGE accumulation and AGE-RAGE axis also activates crosstalk between the tumour cells and its microenvironment to generate hypoxia, mitochondrial dysfunction, epigenetic modifications further enhancing the tumourigenesis and cancer progression (Muthyalaiah et al., 2021; Neviere et al., 2016; Zhang et al., 2024). AGE-RAGE interaction at the cell-surface activates the cascade of cell-signalling which results in moderation of gene expression affecting the cell functioning. AGE-RAGE ligation enhances cytosolic and mitochondrial reactive oxygen species generation, cytokine production, adhesion molecule expression, endothelial-1, plasmin activator inhibitor 1 production, release of growth factors (such as TNF-α), recruitment of inflammatory cells, oxidative stress, stimulation of pro-inflammatory and pro-coagulant pathways along with smooth muscle cells and fibroblast proliferation. (Bierhaus et al., 2005; Bierhaus et al., 2001; Goldin et al., 2006). Molecular mechanism and signalling pathways linking the AGE-RAGE axis with tumourigenesis includes activation of NOX-2, NF-κB, SP-1, expression of MMP1, 2, 3, 7, 9 and 10; B-cell lymphoma-extra-large (Bcl-xL), phosphorylation of AKT and mTOR (a serine/threonine protein kinase in the PI3K-related kinase family, responsible for cancer cell proliferation and pro-survival signals), phosphorylation of ERK 1/2, p38 MAPK, STAT-3 and 70-kDa ribosomal protein S6 kinase (p70S6K1), phosphorylation of GSK-3β (responsible for ECM remodelling and hence metastasis), rise in cytokines IL-1β and IL-8 (responsible for inflammation; and metastasis) and down regulation of NRF-2, Bcl-2 (anti-apoptotic protein), p53 (tumour suppressor) (Bansal et al., 2012; Geicu et al., 2020; Korwar et al., 2012; Palanissami and Paul, 2023; Sorci et al., 2013; Sparvero et al., 2009). Despite the insights, the precise molecular mechanisms by which the above signalling aberrations drive cancer development and progression remain improperly understood.
Waghela et al., 2021 investigated multiple molecular pathways associated with the process of apoptosis, autophagy, and necrosis that are influenced by the AGE-RAGE signalling in cancerous cells. Their findings demonstrated that the AGE-RAGE interaction perturbs the cellular redox balance and modulates the cell death signalling in cancerous cells during the malignant progression (Waghela et al., 2021). More recently, Xia et al., 2024 identified the differential expression of 292 genes in gastric cancer and 541 in T2DM with 104 genes shared between two conditions. A crosstalk mechanism has been proposed for the overlapping genes’ differential expression in cancer and diabetes due to convergent AGE-RAGE signalling pathways that induce hypoxia, autophagy, epigenetic modification and mitochondrial dysfunction. (Muthyalaiah et al., 2021; Xia et al., 2024). Furthermore, enhanced expression of RAGE due to AGEs accumulation has been linked to multiple cancer types, by establishment and maintenance of a chronic inflammatory state (Ishiguro et al., 2005; Kuniyasu et al., 2002). Chen et al. (2014) demonstrated that genetic depletion of RAGE in the tumour microenvironment prolonged survival in glioma bearing mice by reducing the tumour associated inflammation and suppressing angiogenesis (Chen et al., 2014). Importance of AGE-RAGE interaction in prostate cancer development was further confirmed by incubation of DU145 cells with AGEs resulting in increased invasive potential and growth of these cells (Ishiguro et al., 2005; Khoo et.al., 2023). Therefore, metabolic re-programming inside the cancerous cells is effective enough to support the AGE-RAGE signalling cascade generating malignant features of cancer through increased cell proliferation, survival, tumour promoting inflammation, apoptotic evasion, increased oxidative stress, genomic instability, angiogenesis and immune suppression leading to the TME and metastasis.
Association of AGE-RAGE axis with epigenetic changes in cancer has also been explored via different mechanisms such as upregulation of the expression of TET1 which is involved in DNA demethylation and the induction of stress and activation of downstream signalling pathways (Turner, 2017; Wu et al., 2023). Wu et al., have comprehensively reviewed the epigenetic impact of AGEs on RAGE gene expression. They observed that the treatment of liver cells with CML and CEL (carboxyethyl lysine) regulates the RAGE expression epigenetically by promoting the demethylation of the RAGE promoter region through elevated levels of TET1. Epigenetic impact of AGEs on RAGE gene expression has also been implicated in other chronic diseases including diabetes and diabetic retinopathy where hypomethylation of RAGE gene promoter results in increased levels of IL-1β, IL-6 and TNF-α in PBMC of patients (Kan et al., 2018; Kang and Yang, 2020). Hence, AGEs can also modulate RAGE gene expression through epigenetic modifications in cancer cells (Table 1); however, the precise mechanisms underlying this epigenetic regulation remain to be elucidated.
5 Extracellular matrix perturbations due to epigenetic effects of glycation
Glycation of ECM proteins alter ECM properties and promote cancer cell invasion and metastasis. During neoplastic progression ECM becomes highly disorganized facilitating cancer cell transformation and invasion. (Palanissami and Paul, 2023). AGEs preferentially accumulate in long-lived, low turnover proteins, a characteristic shared by many ECM components during molecular ageing (Zgutka et al., 2023). AGE modified proteins are recognized by AGE binding proteins, thus glycated ECM components are capable of triggering RAGE-dependent metastatic neoplastic progression (Rojas et al., 2018). The pro-inflammatory environment generated by AGE mediated RAGE activation further facilitates tumour growth and progression by promoting ECM remodelling, angiogenesis and metastasis (Riehl et al., 2009).
Additional studies have shown that glycation by MGO can alter ECM components like collagen, fibronectin and laminin promoting cancer progression and invasiveness (Leone et al., 2021). Schildhauer et al. (2023b) reported that glycation differentially affects ECM components involved in glioblastoma invasion, upregulating TGFβ, brevican and tenascin C in LN229 and U251 cell lines. Exposure to physiological concentrations of MGO enhanced aggressiveness of glioblastoma cells whereas higher concentrations were cytotoxic (Schildhauer et al., 2023a).
Accumulation of AGEs within the ECM also increase matrix stiffness, actively playing a role in tumour progression and altering treatment response. Jang et al. (2022) demonstrated that AGEs accrued in the ECM altered the fibroblast phenotype within a three-dimensional collagen matrix, through upregulation of AGE-RAGE interaction and integrin mediated mechanotransduction, promoting fibroblast activation towards a cancer associated fibroblast (CAF) like phenotype. These effects were attenuated by neutralizing antibodies against RAGE or by inhibition of focal adhesion signalling. Importantly, reducing matrix stiffness diminished fibroblast activation, highlighting ECM associated AGEs as potential targets for modulating tumour stroma and metastatic progression (Jang et al., 2022). Long term persistence of AGEs and sustained activation of RAGE generate a chronic proinflammatory and pro-oxidant environment that leaves an “indelible metabolic imprint” on tissues, as observed in normal breast tissues. Consequently, the AGE/RAGE complex has the capacity to drive pre-neoplastic transformation, ultimately contributing to cancer initiation and progression through permanent biological changes, mediated by ECM alterations (Palanissami and Paul, 2023).
6 Conclusion
Metabolic reprogramming and epigenetic remodelling are fundamental mechanisms that enable cancer cells to sustain growth, survival, and metastatic progression. Reducing sugars and their reactive metabolites serve as critical mediators linking altered cancer metabolism to epigenetic dysregulation. Increased glycolytic flux elevates intracellular levels of glucose, fructose, lactate, glyoxal, methylglyoxal, and 3-deoxyglucosone, which induce DNA hypomethylation and histone modifications such as hyperacetylation, glycation, and lactylation. These alterations promote oncogenic transcriptional programs while down-regulating tumour-suppressor signalling, thereby facilitating tumour progression. High glucose availability also enhances histone O-GlcNAcylation and disrupts AMPK and TET activity, altering chromatin accessibility. Concurrently, activation of the polyol pathway redirects glucose metabolism toward fructose synthesis, increasing oxidative stress, inflammation, and chemoresistance while maintaining NF-κB signalling and oxidative stress. Elevated glucose further modulates SIRT1 activity, promoting chromatin relaxation, proliferation, and invasion. Excess glucose and fructose accelerate AGE formation and activate the AGE-RAGE axis, triggering oxidative stress, inflammatory signalling, mitochondrial dysfunction, and aberrant gene regulation. Downstream activation of NF-κB, MAPK, PI3K/AKT/mTOR, and STAT3 pathways enhances proliferation, angiogenesis, metastasis, and apoptosis resistance, while persistent RAGE activation maintains a chronic pro-inflammatory tumour microenvironment. This reinforces the Warburg phenotype, stromal remodelling, immune evasion, and therapeutic resistance. Glycation-dependent histone modifications may further upregulate sialyltransferases, promoting polysialylation, migration, and stemness. AGE accumulation within the extracellular matrix stiffens the stroma and fosters a metastatic niche, while methylglyoxal-mediated protein modification intensifies invasion.
In conclusion reducing sugars and their active metabolites do not act merely as metabolic substrates but as potent modulators of the cancer epigenome and microenvironment. Understanding the metabolic and epigenetic interplay through glucose and other glycolytic intermediates provides novel insights into cancer etiology and identifies potential therapeutic targets, including modulation of sugar metabolism, inhibition of the AGE-RAGE axis, and restoration of epigenetic homeostasis. Understanding the mechanistic interplay between glycation, histone PTMs, and chromatin remodeling not only deepens our insight into metabolic-epigenetic crosstalk but also highlights potential therapeutic opportunities such as MGO scavengers or epigenetic modulators to counteract the oncogenic effects of glycative stress. Future research should focus on delineating these mechanistic interconnections in different tumour types, identifying metabolic biomarkers that predict cancer susceptibility, progression, and response to treatment. Such insights will be instrumental in developing integrative strategies that combine metabolic control with epigenetic understanding to combat cancers more effectively.
Author contributions
SB: Conceptualization, Writing – review and editing, Writing – original draft. AB: Writing – review and editing, Writing – original draft, Supervision. TA: Writing – review and editing, Writing – original draft. MV: Writing – review and editing, Writing – original draft. NW: Writing – original draft, Writing – review and editing. BK: Conceptualization, Supervision, Writing – review and editing, Writing – original draft.
Funding
The author(s) declared that financial support was not received for this work and/or its publication.
Acknowledgements
The authors would like to thank their institution University of Delhi for providing necessary access to different resources used for completion of this manuscript.
Conflict of interest
The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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References
Alfarouk, K. O., Alqahtani, S. S., Alshahrani, S., Morgenstern, J., Supuran, C. T., and Reshkin, S. J. (2021). The possible role of methylglyoxal metabolism in cancer. J. Enzyme Inhib. Med. Chem. 36 (1), 2010–2015. doi:10.1080/14756366.2021.1972994
Arcidiacono, B., Iiritano, S., Nocera, A., Possidente, K., Nevolo, M. T., Ventura, V., et al. (2012). Insulin resistance and cancer risk: an overview of the pathogenetic mechanisms. Exp. Diabetes Res. 2012, 789174. doi:10.1155/2012/789174
Assante, G., Chandrasekaran, S., Ng, S., Tourna, A., Chung, C. H., Isse, K. A., et al. (2022). Acetyl-CoA metabolism drives epigenome change and contributes to carcinogenesis risk in fatty liver disease. Genome Med. 14 (1), 67. doi:10.1186/s13073-022-01071-5
Aune, D., Chan, D. S. M., Vieira, A. R., Navarro Rosenblatt, D. A., Vieira, R., Greenwood, D. C., et al. (2012). Dietary fructose, carbohydrates, glycemic indices and pancreatic cancer risk: a systematic review and meta-analysis of cohort studies. Ann. Oncol. 23 (10), 2536–2546. doi:10.1093/annonc/mds076
Bansal, S., Siddarth, M., Chawla, D., Banerjee, B. D., Madhu, S. V., and Tripathi, A. K. (2012). Advanced glycation end products enhance reactive oxygen and nitrogen species generation in neutrophils in vitro. Mol. Cell Biochem. 361 (1-2), 289–296. doi:10.1007/s11010-011-1114-9
Bansal, S., Burman, A., and Tripathi, A. K. (2023). Advanced glycation end products: key mediator and therapeutic target of cardiovascular complications in diabetes. World J. Diabetes 14 (8), 1146–1162. doi:10.4239/wjd.v14.i8.1146
Barrera, G., Pizzimenti, S., Daga, M., Dianzani, C., Arcaro, A., Cetrangolo, G. P., et al. (2018). Lipid peroxidation-derived aldehydes, 4-Hydroxynonenal and malondialdehyde in aging-related disorders. Antioxidants (Basel) 7 (8), 102. doi:10.3390/antiox7080102
Basciano, H., Federico, L., and Adeli, K. (2005). Fructose, insulin resistance, and metabolic dyslipidemia. Nutr. Metab. (Lond) 2 (1), 5. doi:10.1186/1743-7075-2-5
Benito, A., Polat, I. H., Noe, V., Ciudad, C. J., Marin, S., and Cascante, M. (2017). Glucose-6-phosphate dehydrogenase and transketolase modulate breast cancer cell metabolic reprogramming and correlate with poor patient outcome. Oncotarget 8 (63), 106693–106706. doi:10.18632/oncotarget.21601
Bierhaus, A., Schiekofer, S., Schwaninger, M., Andrassy, M., Humpert, P. M., Chen, J., et al. (2001). Diabetes-associated sustained activation of the transcription factor nuclear factor-kappaB. Diabetes 50 (12), 2792–2808. doi:10.2337/diabetes.50.12.2792
Bierhaus, A., Humpert, P. M., Morcos, M., Wendt, T., Chavakis, T., Arnold, B., et al. (2005). Understanding RAGE, the receptor for advanced glycation end products. J. Mol. Med. Berl. 83 (11), 876–886. doi:10.1007/s00109-005-0688-7
Bradshaw, P. C. (2021). Acetyl-CoA metabolism and histone acetylation in the regulation of aging and lifespan. Antioxidants (Basel) 10 (4), 572. doi:10.3390/antiox10040572
Brouwers, M. (2022). Fructose 1-phosphate, an evolutionary signaling molecule of abundancy. Trends Endocrinol. Metab. 33 (10), 680–689. doi:10.1016/j.tem.2022.07.007
Bu, P., Chen, K. Y., Xiang, K., Johnson, C., Crown, S. B., Rakhilin, N., et al. (2018). Aldolase B-Mediated fructose metabolism drives metabolic reprogramming of Colon cancer liver metastasis. Cell Metab. 27 (6), 1249–1262 e1244. doi:10.1016/j.cmet.2018.04.003
Cai, Z., Lu, X., Zhang, C., Nelanuthala, S., Aguilera, F., Hadley, A., et al. (2021). Hyperglycemia cooperates with Tet2 heterozygosity to induce leukemia driven by proinflammatory cytokine-induced lncRNA Morrbid. J. Clin. Invest 131 (1), e140707. doi:10.1172/JCI140707
Canto, C., and Auwerx, J. (2012). Targeting sirtuin 1 to improve metabolism: all you need is NAD(+)? Pharmacol. Rev. 64 (1), 166–187. doi:10.1124/pr.110.003905
Carreno, D. V., Corro, N. B., Cerda-Infante, J. F., Echeverria, C. E., Asencio-Barria, C. A., Torres-Estay, V. A., et al. (2021). Dietary fructose promotes prostate cancer growth. Cancer Res. 81 (11), 2824–2832. doi:10.1158/0008-5472.CAN-19-0456
Chen, X., Zhang, L., Zhang, I. Y., Liang, J., Wang, H., Ouyang, M., et al. (2014). RAGE expression in tumor-associated macrophages promotes angiogenesis in glioma. Cancer Res. 74 (24), 7285–7297. doi:10.1158/0008-5472.CAN-14-1240
Chen, H., Lin, R., Zhang, Z., Wei, Q., Zhong, Z., Huang, J., et al. (2019). Sirtuin 1 knockdown inhibits glioma cell proliferation and potentiates temozolomide toxicity via facilitation of reactive oxygen species generation. Oncol. Lett. 17 (6), 5343–5350. doi:10.3892/ol.2019.10235
Chen, W. L., Jin, X., Wang, M., Liu, D., Luo, Q., Tian, H., et al. (2020). GLUT5-mediated fructose utilization drives lung cancer growth by stimulating fatty acid synthesis and AMPK/mTORC1 signaling. JCI Insight 5 (3), e131596. doi:10.1172/jci.insight.131596
Chen, C., Zhang, Z., Liu, C., Wang, B., Liu, P., Fang, S., et al. (2022). ATF4-dependent fructolysis fuels growth of glioblastoma multiforme. Nat. Commun. 13 (1), 6108. doi:10.1038/s41467-022-33859-9
Chen, S., Xu, Y., Zhuo, W., and Zhang, L. (2024). The emerging role of lactate in tumor microenvironment and its clinical relevance. Cancer Lett. 590, 216837. doi:10.1016/j.canlet.2024.216837
Chen, X., Yang, M., Wang, L., Tu, J., and Yuan, X. (2025). Fructose metabolism in cancer: molecular mechanisms and therapeutic implications. Int. J. Med. Sci. 22 (11), 2852–2876. doi:10.7150/ijms.108549
Cheng, Z., Zheng, L., and Almeida, F. A. (2018). Epigenetic reprogramming in metabolic disorders: nutritional factors and beyond. J. Nutr. Biochem. 54, 1–10. doi:10.1016/j.jnutbio.2017.10.004
Chiavarina, B., Nokin, M. J., Bellier, J., Durieux, F., Bletard, N., Sherer, F., et al. (2017). Methylglyoxal-mediated stress correlates with high metabolic activity and promotes tumor growth in colorectal cancer. Int. J. Mol. Sci. 18 (1), 213. doi:10.3390/ijms18010213
Cho, E. S., Cha, Y. H., Kim, H. S., Kim, N. H., and Yook, J. I. (2018). The pentose phosphate pathway as a potential target for cancer therapy. Biomol. Ther. Seoul. 26 (1), 29–38. doi:10.4062/biomolther.2017.179
Chomphoo, S., Kunprom, W., Thithuan, K., Sorin, S., Khawkhiaw, K., Kamkaew, A., et al. (2023). Hyperglycemia alters O-GlcNAcylation patterns of hepatocytes in mice treated with hepatoxic carcinogen. Vivo 37 (2), 685–695. doi:10.21873/invivo.13129
Collino, M. (2011). High dietary fructose intake: sweet or bitter life? World J. Diabetes 2 (6), 77–81. doi:10.4239/wjd.v2.i6.77
Cross, K., Vetter, S. W., Alam, Y., Hasan, M. Z., Nath, A. D., and Leclerc, E. (2024). Role of the receptor for advanced glycation end products (RAGE) and its ligands in inflammatory responses. Biomolecules 14 (12), 1550. doi:10.3390/biom14121550
Deng, C. X. (2009). SIRT1, is it a tumor promoter or tumor suppressor? Int. J. Biol. Sci. 5 (2), 147–152. doi:10.7150/ijbs.5.147
Devall, M. A., Eaton, S., Hu, G., Sun, X., Jakum, E., Venkatesh, S., et al. (2025). Association between dietary fructose and human colon DNA methylation: implication for racial disparities in colorectal cancer risk using a cross-sectional study. Am. J. Clin. Nutr. 121 (3), 522–534. doi:10.1016/j.ajcnut.2025.01.005
Dewdney, B., Roberts, A., Qiao, L., George, J., and Hebbard, L. (2020). A sweet connection? fructose's role in hepatocellular carcinoma. Biomolecules 10 (4), 496. doi:10.3390/biom10040496
DiStefano, J. K. (2020). Fructose-mediated effects on gene expression and epigenetic mechanisms associated with NAFLD pathogenesis. Cell Mol. Life Sci. 77 (11), 2079–2090. doi:10.1007/s00018-019-03390-0
Dong, W., Lu, J., Li, Y., Zeng, J., Du, X., Yu, A., et al. (2024). SIRT1: a novel regulator in colorectal cancer. Biomed. Pharmacother. 178, 117176. doi:10.1016/j.biopha.2024.117176
Dube, G., Tiamiou, A., Bizet, M., Boumahd, Y., Gasmi, I., Crake, R., et al. (2023). Methylglyoxal: a novel upstream regulator of DNA methylation. J. Exp. Clin. Cancer Res. 42 (1), 78. doi:10.1186/s13046-023-02637-w
Eden, A., Gaudet, F., Waghmare, A., and Jaenisch, R. (2003). Chromosomal instability and tumors promoted by DNA hypomethylation. Science 300 (5618), 455. doi:10.1126/science.1083557
Falconer, R. A., Errington, R. J., Shnyder, S. D., Smith, P. J., and Patterson, L. H. (2012). Polysialyltransferase: a new target in metastatic cancer. Curr. Cancer Drug Targets 12 (8), 925–939. doi:10.2174/156800912803251225
Fan, J., Krautkramer, K. A., Feldman, J. L., and Denu, J. M. (2015). Metabolic regulation of histone post-translational modifications. ACS Chem. Biol. 10 (1), 95–108. doi:10.1021/cb500846u
Fan, Y., Chen, Z., Li, J., and Ding, L. (2025). Effects of lactylation on the hallmarks of cancer (review). Oncol. Lett. 30 (5), 492. doi:10.3892/ol.2025.15238
Fang, Y., and Nicholl, M. B. (2011). Sirtuin 1 in malignant transformation: friend or foe? Cancer Lett. 306 (1), 10–14. doi:10.1016/j.canlet.2011.02.019
Farcas, M., Gavrea, A. A., Gulei, D., Ionescu, C., Irimie, A., Catana, C. S., et al. (2019). SIRT1 in the development and treatment of hepatocellular carcinoma. Front. Nutr. 6, 148. doi:10.3389/fnut.2019.00148
Feinberg, A. P., and Vogelstein, B. (1983). Hypomethylation distinguishes genes of some human cancers from their normal counterparts. Nature 301 (5895), 89–92. doi:10.1038/301089a0
Feron, O. (2019). The many metabolic sources of acetyl-CoA to support histone acetylation and influence cancer progression. Ann. Transl. Med. 7 (Suppl. 8), S277. doi:10.21037/atm.2019.11.140
Ferraris, R. P., Choe, J. Y., and Patel, C. R. (2018). Intestinal absorption of fructose. Annu. Rev. Nutr. 38, 41–67. doi:10.1146/annurev-nutr-082117-051707
Fowle-Grider, R., Rowles, J. L., 3rd, Shen, I., Wang, Y., Schwaiger-Haber, M., Dunham, A. J., et al. (2024). Dietary fructose enhances tumour growth indirectly via interorgan lipid transfer. Nature 636 (8043), 737–744. doi:10.1038/s41586-024-08258-3
Gallagher, E. J., and LeRoith, D. (2010). The proliferating role of insulin and insulin-like growth factors in cancer. Trends Endocrinol. Metab. 21 (10), 610–618. doi:10.1016/j.tem.2010.06.007
Galligan, J. J., Wepy, J. A., Streeter, M. D., Kingsley, P. J., Mitchener, M. M., Wauchope, O. R., et al. (2018). Methylglyoxal-derived posttranslational arginine modifications are abundant histone marks. Proc. Natl. Acad. Sci. U. S. A. 115 (37), 9228–9233. doi:10.1073/pnas.1802901115
Gao, J., Cahill, C. M., Huang, X., Roffman, J. L., Lamon-Fava, S., Fava, M., et al. (2018). S-Adenosyl methionine and transmethylation pathways in neuropsychiatric diseases throughout life. Neurotherapeutics 15 (1), 156–175. doi:10.1007/s13311-017-0593-0
Gatenby, R. A., and Gillies, R. J. (2004). Why do cancers have high aerobic glycolysis? Nat. Rev. Cancer 4 (11), 891–899. doi:10.1038/nrc1478
Geicu, O. I., Stanca, L., Voicu, S. N., Dinischiotu, A., Bilteanu, L., Serban, A. I., et al. (2020). Dietary AGEs involvement in colonic inflammation and cancer: insights from an in vitro enterocyte model. Sci. Rep. 10 (1), 2754. doi:10.1038/s41598-020-59623-x
Geidl-Flueck, B., and Gerber, P. A. (2023). Fructose drives de novo lipogenesis affecting metabolic health. J. Endocrinol. 257 (2), e220270. doi:10.1530/JOE-22-0270
Gensberger, S., Glomb, M. A., and Pischetsrieder, M. (2013). Analysis of sugar degradation products with alpha-dicarbonyl structure in carbonated soft drinks by UHPLC-DAD-MS/MS. J. Agric. Food Chem. 61 (43), 10238–10245. doi:10.1021/jf3048466
Gluer, S., Schelp, C., Madry, N., von Schweinitz, D., Eckhardt, M., and Gerardy-Schahn, R. (1998). Serum polysialylated neural cell adhesion molecule in childhood neuroblastoma. Br. J. Cancer 78 (1), 106–110. doi:10.1038/bjc.1998.450
Goel, A., Mathupala, S. P., and Pedersen, P. L. (2003). Glucose metabolism in cancer. Evidence that demethylation events play a role in activating type II hexokinase gene expression. J. Biol. Chem. 278 (17), 15333–15340. doi:10.1074/jbc.M300608200
Goldin, A., Beckman, J. A., Schmidt, A. M., and Creager, M. A. (2006). Advanced glycation end products: sparking the development of diabetic vascular injury. Circulation 114 (6), 597–605. doi:10.1161/CIRCULATIONAHA.106.621854
Goncalves, M. D., Lu, C., Tutnauer, J., Hartman, T. E., Hwang, S. K., Murphy, C. J., et al. (2019). High-fructose corn syrup enhances intestinal tumor growth in mice. Science 363 (6433), 1345–1349. doi:10.1126/science.aat8515
Gonzalez, R. G., Barnett, P., Aguayo, J., Cheng, H. M., and Chylack, L. T., Jr. (1984). Direct measurement of polyol pathway activity in the ocular lens. Diabetes 33 (2), 196–199. doi:10.2337/diab.33.2.196
Gorczynska-Kosiorz, S., Kosiorz, M., and Dziegielewska-Gesiak, S. (2024). Exploring the interplay of genetics and nutrition in the rising epidemic of obesity and metabolic diseases. Nutrients 16 (20), 3562. doi:10.3390/nu16203562
Gugliucci, A. (2017). Formation of fructose-mediated advanced glycation end products and their roles in metabolic and inflammatory diseases. Adv. Nutr. 8 (1), 54–62. doi:10.3945/an.116.013912
Hanahan, D. (2022). Hallmarks of cancer: new dimensions. Cancer Discov. 12 (1), 31–46. doi:10.1158/2159-8290.CD-21-1059
Hannou, S. A., Haslam, D. E., McKeown, N. M., and Herman, M. A. (2018). Fructose metabolism and metabolic disease. J. Clin. Invest 128 (2), 545–555. doi:10.1172/JCI96702
Hardie, D. G., Ross, F. A., and Hawley, S. A. (2012). AMPK: a nutrient and energy sensor that maintains energy homeostasis. Nat. Rev. Mol. Cell Biol. 13 (4), 251–262. doi:10.1038/nrm3311
Hashemi, M., Zali, N., Ghafarzadeh Dastjerdi, S. Z., Pakshad, B., Aliahmadi, M., Sharifi, N., et al. (2025). SIRT1 as a masterful reciprocal regulator of molecular mechanisms and signaling pathways involved in tumor growth and expansion. Clin. Exp. Med. 25 (1), 225. doi:10.1007/s10238-025-01759-z
Hattori, H., Hanai, Y., Oshima, Y., Kataoka, H., and Eto, N. (2021). Excessive intake of high-fructose corn syrup drinks induces impaired glucose tolerance. Biomedicines 9 (5), 541. doi:10.3390/biomedicines9050541
Haws, S. A., Leech, C. M., and Denu, J. M. (2020). Metabolism and the epigenome: a dynamic relationship. Trends Biochem. Sci. 45 (9), 731–747. doi:10.1016/j.tibs.2020.04.002
Hay, N. (2016). Reprogramming glucose metabolism in cancer: can it be exploited for cancer therapy? Nat. Rev. Cancer 16 (10), 635–649. doi:10.1038/nrc.2016.77
He, W., Li, Q., and Li, X. (2023). Acetyl-CoA regulates lipid metabolism and histone acetylation modification in cancer. Biochim. Biophys. Acta Rev. Cancer 1878 (1), 188837. doi:10.1016/j.bbcan.2022.188837
Hers, H. G. (1956). The mechanism of the transformation of glucose in fructose in the seminal vesicles. Biochim. Biophys. Acta 22 (1), 202–203. doi:10.1016/0006-3002(56)90247-5
Hu, Q., Wang, G., Peng, J., Qian, G., Jiang, W., Xie, C., et al. (2017). Knockdown of SIRT1 suppresses bladder cancer cell proliferation and migration and induces cell cycle arrest and antioxidant response through FOXO3a-Mediated pathways. Biomed. Res. Int. 2017, 3781904. doi:10.1155/2017/3781904
Ishiguro, H., Nakaigawa, N., Miyoshi, Y., Fujinami, K., Kubota, Y., and Uemura, H. (2005). Receptor for advanced glycation end products (RAGE) and its ligand, amphoterin are overexpressed and associated with prostate cancer development. Prostate 64 (1), 92–100. doi:10.1002/pros.20219
Jang, M., Oh, S. W., Lee, Y., Kim, J. Y., Ji, E. S., and Kim, P. (2022). Targeting extracellular matrix glycation to attenuate fibroblast activation. Acta Biomater. 141, 255–263. doi:10.1016/j.actbio.2022.01.040
Jenuwein, T., and Allis, C. D. (2001). Translating the histone code. Science 293 (5532), 1074–1080. doi:10.1126/science.1063127
Jones, P. A., and Baylin, S. B. (2002). The fundamental role of epigenetic events in cancer. Nat. Rev. Genet. 3 (6), 415–428. doi:10.1038/nrg816
Kaimala, S., Yassin, L. K., Hamad, M. I. K., Allouh, M. Z., Sampath, P., AlKaabi, J., et al. (2025). Epigenetic crossroads in metabolic and cardiovascular health: the role of DNA methylation in type 2 diabetes and cardiovascular diseases. Cardiovasc Diabetol. 24 (1), 231. doi:10.1186/s12933-025-02800-x
Kan, S., Wu, J., Sun, C., Hao, J., and Wu, Z. (2018). Correlation between RAGE gene promoter methylation and diabetic retinal inflammation. Exp. Ther. Med. 15 (1), 242–246. doi:10.3892/etm.2017.5378
Kang, Q., and Yang, C. (2020). Oxidative stress and diabetic retinopathy: molecular mechanisms, pathogenetic role and therapeutic implications. Redox Biol. 37, 101799. doi:10.1016/j.redox.2020.101799
Khan, H., Rafi, Z., Khan, M. Y., Maarfi, F., Rehman, S., Kaur, K., et al. (2024). Epigenetic contributions to cancer: exploring the role of glycation reactions. Int. Rev. Cell Mol. Biol. 387, 143–193. doi:10.1016/bs.ircmb.2024.04.001
Khoo, S. H., Wu, P. R., Yeh, K. T., Hsu, S. L., and Wu, C. H. (2023). Biological and clinical significance of the AGE-RAGE axis in the aggressiveness and prognosis of prostate cancer. J. Food Drug Anal. 31 (4), 664–682. doi:10.38212/2224-6614.3475
Kim, H., and Min, H. (2020). Folic acid supplementation prevents high fructose-induced non-alcoholic fatty liver disease by activating the AMPK and LKB1 signaling pathways. Nutr. Res. Pract. 14 (4), 309–321. doi:10.4162/nrp.2020.14.4.309
Kim, J., Song, G., Wu, G., and Bazer, F. W. (2012). Functional roles of fructose. Proc. Natl. Acad. Sci. U. S. A. 109 (25), E1619–E1628. doi:10.1073/pnas.1204298109
Kitada, M., and Koya, D. (2013). SIRT1 in type 2 diabetes: mechanisms and therapeutic potential. Diabetes Metab. J. 37 (5), 315–325. doi:10.4093/dmj.2013.37.5.315
Knorlein, A., Xiao, Y., and David, Y. (2023). Leveraging histone glycation for cancer diagnostics and therapeutics. Trends Cancer 9 (5), 410–420. doi:10.1016/j.trecan.2023.01.005
Korwar, A. M., Bhonsle, H. S., Chougale, A. D., Kote, S. S., Gawai, K. R., Ghole, V. S., et al. (2012). Analysis of AGE modified proteins and RAGE expression in HER2/neu negative invasive ductal carcinoma. Biochem. Biophys. Res. Commun. 419 (3), 490–494. doi:10.1016/j.bbrc.2012.02.039
Kuniyasu, H., Oue, N., Wakikawa, A., Shigeishi, H., Matsutani, N., Kuraoka, K., et al. (2002). Expression of receptors for advanced glycation end-products (RAGE) is closely associated with the invasive and metastatic activity of gastric cancer. J. Pathol. 196 (2), 163–170. doi:10.1002/path.1031
Lee, J. T., and Gu, W. (2013). SIRT1: regulator of p53 deacetylation. Genes Cancer 4 (3-4), 112–117. doi:10.1177/1947601913484496
Lee, J. V., Shah, S. A., and Wellen, K. E. (2013). Obesity, cancer, and acetyl-CoA metabolism. Drug Discov. Today Dis. Mech. 10 (1-2), e55–e61. doi:10.1016/j.ddmec.2013.03.005
Leone, A., Nigro, C., Nicolo, A., Prevenzano, I., Formisano, P., Beguinot, F., et al. (2021). The dual-role of Methylglyoxal in tumor progression - novel therapeutic approaches. Front. Oncol. 11, 645686. doi:10.3389/fonc.2021.645686
Li, Y., Zhao, T., Li, J., Xia, M., Li, Y., Wang, X., et al. (2022). Oxidative stress and 4-hydroxy-2-nonenal (4-HNE): implications in the pathogenesis and treatment of aging-related diseases. J. Immunol. Res. 2022, 2233906. doi:10.1155/2022/2233906
Li, F., Si, W., Xia, L., Yin, D., Wei, T., Tao, M., et al. (2024). Positive feedback regulation between glycolysis and histone lactylation drives oncogenesis in pancreatic ductal adenocarcinoma. Mol. Cancer 23 (1), 90. doi:10.1186/s12943-024-02008-9
Liu, T. F., and McCall, C. E. (2013). Deacetylation by SIRT1 reprograms inflammation and cancer. Genes Cancer 4 (3-4), 135–147. doi:10.1177/1947601913476948
Long, Y., Mao, C., Liu, S., Tao, Y., and Xiao, D. (2024). Epigenetic modifications in obesity-associated diseases. MedComm 5 (2), e496. doi:10.1002/mco2.496
Ma, B., Li, X., Ma, Z., Yin, Z., Gao, L., Wang, Y., et al. (2025). Cyclin B2 facilitates glycolysis and tumor progression in pancreatic ductal adenocarcinoma by promoting histone lactylation. BMC Cancer. doi:10.1186/s12885-025-15172-y
Maksimovic, I., and David, Y. (2021). Non-enzymatic covalent modifications as a new chapter in the histone code. Trends Biochem. Sci. 46 (9), 718–730. doi:10.1016/j.tibs.2021.04.004
Maksimovic, I., Zheng, Q., Trujillo, M. N., Galligan, J. J., and David, Y. (2020). An azidoribose probe to track ketoamine adducts in histone ribose glycation. J. Am. Chem. Soc. 142 (22), 9999–10007. doi:10.1021/jacs.0c01325
Maleknia, M., Ahmadirad, N., Golab, F., Katebi, Y., and Haj Mohamad Ebrahim Ketabforoush, A. (2023). DNA methylation in cancer: epigenetic view of dietary and lifestyle factors. Epigenet Insights 16, 25168657231199893. doi:10.1177/25168657231199893
Mallik, S., Paria, B., Firdous, S. M., Ghazzawy, H. S., Alqahtani, N. K., He, Y., et al. (2024). The positive implication of natural antioxidants on oxidative stress-mediated diabetes mellitus complications. J. Genet. Eng. Biotechnol. 22 (4), 100424. doi:10.1016/j.jgeb.2024.100424
Meloche, J., Paulin, R., Courboulin, A., Lambert, C., Barrier, M., Bonnet, P., et al. (2011). RAGE-dependent activation of the oncoprotein Pim1 plays a critical role in systemic vascular remodeling processes. Arterioscler. Thromb. Vasc. Biol. 31 (9), 2114–2124. doi:10.1161/ATVBAHA.111.230573
Miao, Z., Zhao, X., and Liu, X. (2023). Hypoxia induced beta-catenin lactylation promotes the cell proliferation and stemness of colorectal cancer through the wnt signaling pathway. Exp. Cell Res. 422 (1), 113439. doi:10.1016/j.yexcr.2022.113439
Miranda-Goncalves, V., Lameirinhas, A., Henrique, R., and Jeronimo, C. (2018). Metabolism and epigenetic interplay in cancer: regulation and putative therapeutic targets. Front. Genet. 9, 427. doi:10.3389/fgene.2018.00427
Miziak, P., Baran, M., Borkiewicz, L., Trombik, T., and Stepulak, A. (2024). Acetylation of histone H3 in cancer progression and prognosis. Int. J. Mol. Sci. 25 (20), 10982. doi:10.3390/ijms252010982
Moldogazieva, N. T., Mokhosoev, I. M., Mel'nikova, T. I., Porozov, Y. B., and Terentiev, A. A. (2019). Oxidative stress and advanced lipoxidation and glycation end products (ALEs and AGEs) in aging and age-related diseases. Oxid. Med. Cell Longev. 2019, 3085756. doi:10.1155/2019/3085756
Morrison, A. D., Clements, R. S., Jr., Travis, S. B., Oski, F., and Winegrad, A. I. (1970). Glucose utilization by the polyol pathway in human erythrocytes. Biochem. Biophys. Res. Commun. 40 (1), 199–205. doi:10.1016/0006-291x(70)91066-1
Moslehi, A., and Hamidi-Zad, Z. (2018). Role of SREBPs in liver diseases: a mini-review. J. Clin. Transl. Hepatol. 6 (3), 332–338. doi:10.14218/JCTH.2017.00061
Muthyalaiah, Y. S., Jonnalagadda, B., John, C. M., and Arockiasamy, S. (2021). Impact of advanced glycation end products (AGEs) and its receptor (RAGE) on cancer metabolic signaling pathways and its progression. Glycoconj J. 38 (6), 717–734. doi:10.1007/s10719-021-10031-x
Nakagawa, T., Lanaspa, M. A., Millan, I. S., Fini, M., Rivard, C. J., Sanchez-Lozada, L. G., et al. (2020). Fructose contributes to the warburg effect for cancer growth. Cancer Metab. 8, 16. doi:10.1186/s40170-020-00222-9
Nakamura, H., and Takada, K. (2021). Reactive oxygen species in cancer: current findings and future directions. Cancer Sci. 112 (10), 3945–3952. doi:10.1111/cas.15068
Neviere, R., Yu, Y., Wang, L., Tessier, F., and Boulanger, E. (2016). Implication of advanced glycation end products (ages) and their receptor (rage) on myocardial contractile and mitochondrial functions. Glycoconj J. 33 (4), 607–617. doi:10.1007/s10719-016-9679-x
Nokin, M. J., Durieux, F., Peixoto, P., Chiavarina, B., Peulen, O., Blomme, A., et al. (2016). Methylglyoxal, a glycolysis side-product, induces Hsp90 glycation and YAP-mediated tumor growth and metastasis. Elife 5, e19375. doi:10.7554/eLife.19375
Nokin, M. J., Bellier, J., Durieux, F., Peulen, O., Rademaker, G., Gabriel, M., et al. (2019). Methylglyoxal, a glycolysis metabolite, triggers metastasis through MEK/ERK/SMAD1 pathway activation in breast cancer. Breast Cancer Res. 21 (1), 11. doi:10.1186/s13058-018-1095-7
Palanissami, G., and Paul, S. F. D. (2023). AGEs and RAGE: metabolic and molecular signatures of the glycation-inflammation axis in malignant or metastatic cancers. Explor Target Antitumor Ther. 4 (5), 812–849. doi:10.37349/etat.2023.00170
Park, J. K., Coffey, N. J., Limoges, A., and Le, A. (2021). The heterogeneity of lipid metabolism in cancer. Adv. Exp. Med. Biol. 1311, 39–56. doi:10.1007/978-3-030-65768-0_3
Perrone, A., Giovino, A., Benny, J., and Martinelli, F. (2020). Advanced glycation end products (AGEs): Biochemistry, signaling, analytical methods, and epigenetic effects. Oxid. Med. Cell Longev. 2020, 3818196. doi:10.1155/2020/3818196
Phillips, S. A., and Thornalley, P. J. (1993). The formation of methylglyoxal from triose phosphates. Investigation using a specific assay for methylglyoxal. Eur. J. Biochem. 212 (1), 101–105. doi:10.1111/j.1432-1033.1993.tb17638.x
Porcuna, J., Minguez-Martinez, J., and Ricote, M. (2021). The PPARalpha and PPARgamma epigenetic landscape in cancer and immune and metabolic disorders. Int. J. Mol. Sci. 22 (19), 10573. doi:10.3390/ijms221910573
Port, A. M., Ruth, M. R., and Istfan, N. W. (2012). Fructose consumption and cancer: is there a connection? Curr. Opin. Endocrinol. Diabetes Obes. 19 (5), 367–374. doi:10.1097/MED.0b013e328357f0cb
Rasmussen, K. D., and Helin, K. (2016). Role of TET enzymes in DNA methylation, development, and cancer. Genes Dev. 30 (7), 733–750. doi:10.1101/gad.276568.115
Ray, D. M., Jennings, E. Q., Maksimovic, I., Chai, X., Galligan, J. J., David, Y., et al. (2022). Chemical labeling and enrichment of histone glyoxal adducts. ACS Chem. Biol. 17 (4), 756–761. doi:10.1021/acschembio.1c00864
Reddy, V. P. (2023). Oxidative stress in health and disease. Biomedicines 11 (11), 2925. doi:10.3390/biomedicines11112925
Rehman, S., Aatif, M., Rafi, Z., Khan, M. Y., Shahab, U., Ahmad, S., et al. (2022). Effect of non-enzymatic glycosylation in the epigenetics of cancer. Semin. Cancer Biol. 83, 543–555. doi:10.1016/j.semcancer.2020.11.019
Rejili, M. (2025). Metabolic-epigenetic rewiring in cancer: the role of lactylation in tumor progression, immune evasion, and therapy resistance. Pathol. Res. Pract. 275, 156244. doi:10.1016/j.prp.2025.156244
Riehl, A., Nemeth, J., Angel, P., and Hess, J. (2009). The receptor RAGE: bridging inflammation and cancer. Cell Commun. Signal 7, 12. doi:10.1186/1478-811X-7-12
Rifai, K., Judes, G., Idrissou, M., Daures, M., Bignon, Y. J., Penault-Llorca, F., et al. (2017). Dual SIRT1 expression patterns strongly suggests its bivalent role in human breast cancer. Oncotarget 8 (67), 110922–110930. doi:10.18632/oncotarget.23006
Rojas, A., Anazco, C., Gonzalez, I., and Araya, P. (2018). Extracellular matrix glycation and receptor for advanced glycation end-products activation: a missing piece in the puzzle of the association between diabetes and cancer. Carcinogenesis 39 (4), 515–521. doi:10.1093/carcin/bgy012
Santhekadur, P. K. (2020). The dark face of fructose as a tumor promoter. Genes Dis. 7 (2), 163–165. doi:10.1016/j.gendis.2019.10.001
Sato, C., and Kitajima, K. (2021). Polysialylation and disease. Mol. Asp. Med. 79, 100892. doi:10.1016/j.mam.2020.100892
Scheer, M., Bork, K., Simon, F., Nagasundaram, M., Horstkorte, R., and Gnanapragassam, V. S. (2020). Glycation leads to increased polysialylation and promotes the metastatic potential of neuroblastoma cells. Cells 9 (4), 868. doi:10.3390/cells9040868
Schildhauer, P., Selke, P., Scheller, C., Strauss, C., Horstkorte, R., Leisz, S., et al. (2023a). Glycation leads to increased invasion of glioblastoma cells. Cells 12 (9), 1219. doi:10.3390/cells12091219
Schildhauer, P., Selke, P., Staege, M. S., Harder, A., Scheller, C., Strauss, C., et al. (2023b). Glycation interferes with the expression of sialyltransferases and leads to increased polysialylation in glioblastoma cells. Cells 12 (23), 2758. doi:10.3390/cells12232758
Schmidt, A. M., Yan, S. D., Yan, S. F., and Stern, D. M. (2001). The multiligand receptor RAGE as a progression factor amplifying immune and inflammatory responses. J. Clin. Invest 108 (7), 949–955. doi:10.1172/JCI14002
Schwab, A., Siddiqui, A., Vazakidou, M. E., Napoli, F., Bottcher, M., Menchicchi, B., et al. (2018). Polyol pathway links glucose metabolism to the aggressiveness of cancer cells. Cancer Res. 78 (7), 1604–1618. doi:10.1158/0008-5472.CAN-17-2834
Schwab, A., Siddiqui, M. A., Ramesh, V., Gollavilli, P. N., Turtos, A. M., Moller, S. S., et al. (2025). Polyol pathway-generated fructose is indispensable for growth and survival of non-small cell lung cancer. Cell Death Differ. 32 (4), 587–597. doi:10.1038/s41418-024-01415-1
Scumaci, D., and Zheng, Q. (2023). Epigenetic meets metabolism: novel vulnerabilities to fight cancer. Cell Commun. Signal 21 (1), 249. doi:10.1186/s12964-023-01253-7
Selke, P., Bork, K., Zhang, T., Wuhrer, M., Strauss, C., Horstkorte, R., et al. (2021). Glycation interferes with the expression of sialyltransferases in meningiomas. Cells 10 (12), 3298. doi:10.3390/cells10123298
Senavirathna, L., Pan, S., and Chen, R. (2023). Protein advanced glycation end products and their implications in pancreatic cancer. Cancer Prev. Res. (Phila) 16 (11), 601–610. doi:10.1158/1940-6207.CAPR-23-0162
Shahid, R. K., Ahmed, S., Le, D., and Yadav, S. (2021). Diabetes and cancer: risk, challenges, management and outcomes. Cancers (Basel) 13 (22), 5735. doi:10.3390/cancers13225735
Shen, C. Y., Lu, C. H., Cheng, C. F., Li, K. J., Kuo, Y. M., Wu, C. H., et al. (2024). Advanced glycation end-products acting as immunomodulators for chronic inflammation, inflammaging and carcinogenesis in patients with diabetes and immune-related diseases. Biomedicines 12 (8), 1699. doi:10.3390/biomedicines12081699
Shi, L., and Tu, B. P. (2015). Acetyl-CoA and the regulation of metabolism: mechanisms and consequences. Curr. Opin. Cell Biol. 33, 125–131. doi:10.1016/j.ceb.2015.02.003
Sorci, G., Riuzzi, F., Giambanco, I., and Donato, R. (2013). RAGE in tissue homeostasis, repair and regeneration. Biochim. Biophys. Acta 1833 (1), 101–109. doi:10.1016/j.bbamcr.2012.10.021
Sparvero, L. J., Asafu-Adjei, D., Kang, R., Tang, D., Amin, N., Im, J., et al. (2009). RAGE (receptor for advanced glycation endproducts), RAGE ligands, and their role in cancer and inflammation. J. Transl. Med. 7, 17. doi:10.1186/1479-5876-7-17
Stanhope, K. L., Schwarz, J. M., Keim, N. L., Griffen, S. C., Bremer, A. A., Graham, J. L., et al. (2009). Consuming fructose-sweetened, not glucose-sweetened, beverages increases visceral adiposity and lipids and decreases insulin sensitivity in overweight/obese humans. J. Clin. Invest 119 (5), 1322–1334. doi:10.1172/JCI37385
Sud, N., Zhang, H., Pan, K., Cheng, X., Cui, J., and Su, Q. (2017). Aberrant expression of microRNA induced by high-fructose diet: implications in the pathogenesis of hyperlipidemia and hepatic insulin resistance. J. Nutr. Biochem. 43, 125–131. doi:10.1016/j.jnutbio.2017.02.003
Sun, J., Yu, L., Qu, X., and Huang, T. (2023). The role of peroxisome proliferator-activated receptors in the tumor microenvironment, tumor cell metabolism, and anticancer therapy. Front. Pharmacol. 14, 1184794. doi:10.3389/fphar.2023.1184794
Sun, M., Wang, K., Lu, F., Yu, D., and Liu, S. (2025). Regulatory role and therapeutic prospect of lactate modification in cancer. Front. Pharmacol. 16, 1508552. doi:10.3389/fphar.2025.1508552
Sun, Y., Yang, X., Kong, F., Dong, F. Y., Li, N., and Wang, S. (2025). The mechanisms and effects of lactylation modification in different kinds of cancers. Discov. Oncol. 16 (1), 560. doi:10.1007/s12672-025-02359-9
Tammali, R., Ramana, K. V., Singhal, S. S., Awasthi, S., and Srivastava, S. K. (2006). Aldose reductase regulates growth factor-induced cyclooxygenase-2 expression and prostaglandin E2 production in human colon cancer cells. Cancer Res. 66 (19), 9705–9713. doi:10.1158/0008-5472.CAN-06-2105
Tammali, R., Reddy, A. B., Saxena, A., Rychahou, P. G., Evers, B. M., Qiu, S., et al. (2011). Inhibition of aldose reductase prevents colon cancer metastasis. Carcinogenesis 32 (8), 1259–1267. doi:10.1093/carcin/bgr102
Tasevska, N., Jiao, L., Cross, A. J., Kipnis, V., Subar, A. F., Hollenbeck, A., et al. (2012). Sugars in diet and risk of cancer in the NIH-AARP diet and health study. Int. J. Cancer 130 (1), 159–169. doi:10.1002/ijc.25990
Tee, S. S., Kim, N., Cullen, Q., Eskandari, R., Mamakhanyan, A., Srouji, R. M., et al. (2022). Ketohexokinase-mediated fructose metabolism is lost in hepatocellular carcinoma and can be leveraged for metabolic imaging. Sci. Adv. 8 (14), eabm7985. doi:10.1126/sciadv.abm7985
Tessier, F. J. (2010). The maillard reaction in the human body. The main discoveries and factors that affect glycation. Pathol. Biol. Paris. 58 (3), 214–219. doi:10.1016/j.patbio.2009.09.014
Thompson, L. L., Guppy, B. J., Sawchuk, L., Davie, J. R., and McManus, K. J. (2013). Regulation of chromatin structure via histone post-translational modification and the link to carcinogenesis. Cancer Metastasis Rev. 32 (3-4), 363–376. doi:10.1007/s10555-013-9434-8
Ting, K. K. Y. (2024). Fructose-induced metabolic reprogramming of cancer cells. Front. Immunol. 15, 1375461. doi:10.3389/fimmu.2024.1375461
Turner, D. P. (2017). The role of advanced glycation end-products in cancer disparity. Adv. Cancer Res. 133, 1–22. doi:10.1016/bs.acr.2016.08.001
Vaupel, P., and Multhoff, G. (2021). Revisiting the warburg effect: historical dogma versus current understanding. J. Physiol. 599 (6), 1745–1757. doi:10.1113/JP278810
Verma, A., and Lindroth, A. M. (2025). The emerging intertwined activities of metabolism and epigenetics unveils culprits and prospects in cancer. Exp. Mol. Med. 57 (9), 1928–1939. doi:10.1038/s12276-025-01537-7
Voelter-Mahlknecht, S., and Mahlknecht, U. (2010). The sirtuins in the pathogenesis of cancer. Clin. Epigenetics 1 (3-4), 71–83. doi:10.1007/s13148-010-0008-0
Waghela, B. N., Vaidya, F. U., Ranjan, K., Chhipa, A. S., Tiwari, B. S., and Pathak, C. (2021). AGE-RAGE synergy influences programmed cell death signaling to promote cancer. Mol. Cell Biochem. 476 (2), 585–598. doi:10.1007/s11010-020-03928-y
Wang, L., Ozark, P. A., Smith, E. R., Zhao, Z., Marshall, S. A., Rendleman, E. J., et al. (2018). TET2 coactivates gene expression through demethylation of enhancers. Sci. Adv. 4 (11), eaau6986. doi:10.1126/sciadv.aau6986
Wang, X., Ying, T., Yuan, J., Wang, Y., Su, X., Chen, S., et al. (2023). BRAFV600E restructures cellular lactylation to promote anaplastic thyroid cancer proliferation. Endocr. Relat. Cancer 30 (8), e220344. doi:10.1530/ERC-22-0344
Wang, P., Chen, L. L., Xiong, Y., and Ye, D. (2024). Metabolite regulation of epigenetics in cancer. Cell Rep. 43 (10), 114815. doi:10.1016/j.celrep.2024.114815
Wang, Y., Wang, S., Wang, Y., Wang, C., Tang, Y., Zhang, C., et al. (2024). Glucose regulates the HMGB1 signaling pathway through SIRT1 in glioma. Cell Signal 118, 111137. doi:10.1016/j.cellsig.2024.111137
Wang, M., Huang, X., Zhang, D., Liu, Y., and Liu, P. (2025). The role of fructose-1,6-bisphosphatase 1 on regulating the cancer progression and drug resistance. Discov. Oncol. 16 (1), 346. doi:10.1007/s12672-025-02112-2
Wang, T., Ma, X., Wang, Y., Liu, H., Ding, G., Li, Y., et al. (2025). Lactate-driven lactylation of HNRNPA1 orchestrates PKM2 splicing and glycolytic reprogramming in bladder cancer. J. Exp. Clin. Cancer Res. 44, 331. doi:10.1186/s13046-025-03591-5
Warburg, O., Wind, F., and Negelein, E. (1927). The metabolism of tumors in the body. J. Gen. Physiol. 8 (6), 519–530. doi:10.1085/jgp.8.6.519
Wei, S., Zhang, J., Zhao, R., Shi, R., An, L., Yu, Z., et al. (2024). Histone lactylation promotes malignant progression by facilitating USP39 expression to target PI3K/AKT/HIF-1alpha signal pathway in endometrial carcinoma. Cell Death Discov. 10 (1), 121. doi:10.1038/s41420-024-01898-4
Wolf, A., Agnihotri, S., Munoz, D., and Guha, A. (2011). Developmental profile and regulation of the glycolytic enzyme hexokinase 2 in normal brain and glioblastoma multiforme. Neurobiol. Dis. 44 (1), 84–91. doi:10.1016/j.nbd.2011.06.007
Wright, E. M., Hirayama, B. A., and Loo, D. F. (2007). Active sugar transport in health and disease. J. Intern Med. 261 (1), 32–43. doi:10.1111/j.1365-2796.2006.01746.x
Wu, D., Hu, D., Chen, H., Shi, G., Fetahu, I. S., Wu, F., et al. (2018). Glucose-regulated phosphorylation of TET2 by AMPK reveals a pathway linking diabetes to cancer. Nature 559 (7715), 637–641. doi:10.1038/s41586-018-0350-5
Wu, X., Shi, X., Chen, X., and Yin, Z. (2023). Advanced glycation end products regulate the receptor of AGEs epigenetically. Front. Cell Dev. Biol. 11, 1062229. doi:10.3389/fcell.2023.1062229
Xia, B., Zeng, P., Xue, Y., Li, Q., Xie, J., Xu, J., et al. (2024). Identification of potential shared gene signatures between gastric cancer and type 2 diabetes: a data-driven analysis. Front. Med. (Lausanne) 11, 1382004. doi:10.3389/fmed.2024.1382004
Xiao, J., You, Y., Chen, X., Tang, Y., Chen, Y., Liu, Q., et al. (2022). Higher S-adenosylhomocysteine and lower ratio of S-adenosylmethionine to S-adenosylhomocysteine were more closely associated with increased risk of subclinical atherosclerosis than homocysteine. Front. Nutr. 9, 918698. doi:10.3389/fnut.2022.918698
Xing, X. B., Cai, W. B., Luo, L., Liu, L. S., Shi, H. J., and Chen, M. H. (2013). The prognostic value of p16 hypermethylation in cancer: a meta-analysis. PLoS One 8 (6), e66587. doi:10.1371/journal.pone.0066587
Yan, S. F., Ramasamy, R., and Schmidt, A. M. (2010). The RAGE axis: a fundamental mechanism signaling danger to the vulnerable vasculature. Circ. Res. 106 (5), 842–853. doi:10.1161/CIRCRESAHA.109.212217
Yang, W., Xia, Y., Hawke, D., Li, X., Liang, J., Xing, D., et al. (2012). PKM2 phosphorylates histone H3 and promotes gene transcription and tumorigenesis. Cell 150 (4), 685–696. doi:10.1016/j.cell.2012.07.018
Yang, Q., Wang, B., Gao, W., Huang, S., Liu, Z., Li, W., et al. (2013). SIRT1 is downregulated in gastric cancer and leads to G1-phase arrest via NF-kappaB/Cyclin D1 signaling. Mol. Cancer Res. 11 (12), 1497–1507. doi:10.1158/1541-7786.MCR-13-0214
Yang, D., Yin, J., Shan, L., Yi, X., Zhang, W., and Ding, Y. (2022). Identification of lysine-lactylated substrates in gastric cancer cells. iScience 25 (7), 104630. doi:10.1016/j.isci.2022.104630
Yang, Y. H., Wen, R., Yang, N., Zhang, T. N., and Liu, C. F. (2023). Roles of protein post-translational modifications in glucose and lipid metabolism: mechanisms and perspectives. Mol. Med. 29 (1), 93. doi:10.1186/s10020-023-00684-9
Yang, Z., Yan, C., Ma, J., Peng, P., Ren, X., Cai, S., et al. (2023). Lactylome analysis suggests lactylation-dependent mechanisms of metabolic adaptation in hepatocellular carcinoma. Nat. Metab. 5 (1), 61–79. doi:10.1038/s42255-022-00710-w
Zgutka, K., Tkacz, M., Tomasiak, P., and Tarnowski, M. (2023). A role for advanced glycation end products in molecular ageing. Int. J. Mol. Sci. 24 (12), 9881. doi:10.3390/ijms24129881
Zhang, I. Y., Zhou, H., Liu, H., Zhang, L., Gao, H., Liu, S., et al. (2020). Local and systemic immune dysregulation alters glioma growth in hyperglycemic mice. Clin. Cancer Res. 26 (11), 2740–2753. doi:10.1158/1078-0432.CCR-19-2520
Zhang, Y., Zhai, Z., Duan, J., Wang, X., Zhong, J., Wu, L., et al. (2022). Lactate: the mediator of metabolism and immunosuppression. Front. Endocrinol. (Lausanne) 13, 901495. doi:10.3389/fendo.2022.901495
Zhang, D., Qi, Y., Inuzuka, H., Liu, J., and Wei, W. (2024). O-GlcNAcylation in tumorigenesis and its implications for cancer therapy. J. Biol. Chem. 300 (9), 107709. doi:10.1016/j.jbc.2024.107709
Zhang, C., Du, Y., Ji, Y., Ye, X., Lian, J., Zhou, H., et al. (2025a). Lactylation-driven KRT19 promotes non-small cell lung cancer progression by suppressing cellular senescence. J. Exp. Clin. Cancer Res. doi:10.1186/s13046-025-03602-5
Zhang, C., Meng, Q., Jiao, H., Liu, H., Wang, X., Zhou, H., et al. (2025b). Lactylation in cancer: metabolic-Epigenetic nexus and therapeutic frontiers. Crit. Rev. Oncol. Hematol. 217, 105034. doi:10.1016/j.critrevonc.2025.105034
Zheng, Q., Omans, N. D., Leicher, R., Osunsade, A., Agustinus, A. S., Finkin-Groner, E., et al. (2019). Reversible histone glycation is associated with disease-related changes in chromatin architecture. Nat. Commun. 10 (1), 1289. doi:10.1038/s41467-019-09192-z
Keywords: AGE-RAGE axis, cancer metabolism, epigenetics, glycation, metabolic reprogramming, reducing sugars, oxidative stress
Citation: Bansal S, Burman A, Arora T, Vachher M, Wali NM and Kumar B (2026) Metabolic reprogramming and epigenetic effects due to reducing sugars and glycation products in cancer. Front. Epigenet. Epigenom. 3:1752493. doi: 10.3389/freae.2025.1752493
Received: 23 November 2025; Accepted: 25 December 2025;
Published: 27 January 2026.
Edited by:
Serena Castelli, San Raffaele Telematic University, ItalyReviewed by:
Eleicy Nathaly Mendoza Hernandez, University of Rome Tor Vergata, ItalyAngela De Cristofaro, University of Rome Tor Vergata, Italy
Copyright © 2026 Bansal, Burman, Arora, Vachher, Wali and Kumar. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Bhupender Kumar, Ymh1cGVuZGVyQHNzLmR1LmFjLmlu, Ymh1cGVuZGVyMTlAZ21haWwuY29t
Savita Bansal1