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Journal of Hematology & Oncology logoLink to Journal of Hematology & Oncology
. 2022 Jul 6;15:84. doi: 10.1186/s13045-022-01304-5

Crosstalk among m6A RNA methylation, hypoxia and metabolic reprogramming in TME: from immunosuppressive microenvironment to clinical application

Fusheng Zhang 1,#, Haiyang Liu 1,#, Meiqi Duan 1, Guang Wang 1, Zhenghou Zhang 1, Yutian Wang 1, Yiping Qian 1, Zhi Yang 1,, Xiaofeng Jiang 1,
PMCID: PMC9258089  PMID: 35794625

Abstract

The tumor microenvironment (TME), which is regulated by intrinsic oncogenic mechanisms and epigenetic modifications, has become a research hotspot in recent years. Characteristic features of TME include hypoxia, metabolic dysregulation, and immunosuppression. One of the most common RNA modifications, N6-methyladenosine (m6A) methylation, is widely involved in the regulation of physiological and pathological processes, including tumor development. Compelling evidence indicates that m6A methylation regulates transcription and protein expression through shearing, export, translation, and processing, thereby participating in the dynamic evolution of TME. Specifically, m6A methylation-mediated adaptation to hypoxia, metabolic dysregulation, and phenotypic shift of immune cells synergistically promote the formation of an immunosuppressive TME that supports tumor proliferation and metastasis. In this review, we have focused on the involvement of m6A methylation in the dynamic evolution of tumor-adaptive TME and described the detailed mechanisms linking m6A methylation to change in tumor cell biological functions. In view of the collective data, we advocate treating TME as a complete ecosystem in which components crosstalk with each other to synergistically achieve tumor adaptive changes. Finally, we describe the potential utility of m6A methylation-targeted therapies and tumor immunotherapy in clinical applications and the challenges faced, with the aim of advancing m6A methylation research.

Keywords: Hypoxia, Tumor metabolism, Exosomes, Immune escape, Tumor biological functions, Tumor combination therapy

Introduction

N6-methyladenosine, a methylation process occurring at the N6 position of adenosine, is one of the most abundant and conserved internal transcriptional modifications, especially in eukaryotic messenger RNA (mRNA) [1]. More than 7000 human genes with 12,000 m6A methylation sites that are enriched in the consensus sequence ‘RRACH’, which is predominantly located stop codons and 3′ untranslated regions (3′ UTRs) [2]. The m6A methylation process is regulated by multiple regulators that are classified into three types, specifically, methyltransferases (writers), demethylases (erasers), and reading proteins (readers), which, respectively, add, remove or read an m6A methylation site. Methyltransferase writers (METTL3, METTL14, METTL16, Wilms tumor 1-associated protein (WTAP), KIAA1429) are responsible for initiation of the m6A methylation modification process [3, 4]. The main function of reading proteins (YTHDF1/2/3 and YTHDC1/2 etc.) is to recognize bases that undergo m6A methylation, thus activating downstream regulatory pathways, such as RNA degradation and miRNA processing [5, 6]. As erasers, the demethylases fat mass- and obesity-associated protein (FTO) and ALKBH5 are responsible for demethylation modification of bases that have undergone m6A methylation. These regulators (for example, the YTHDC and YTHDF families) are essential for RNA metabolic processes, including RNA shearing, export, translation, and processing [3, 79]. Therefore, m6A methylation is widely involved in multiple physiological activities. The issue of whether m6A methylation exerts anti- or pro-cancer effects remains controversial. The inconsistent results obtained to date may be attributable to distinct characteristics as a result of complex crosstalk of TME and differential regulation of target genes by m6A methylation [10]. However, accumulating evidence suggests that m6A methylation promotes the development of multiple diseases, including cancer, under specific circumstances [1113].

Tumor survival and proliferation cannot be achieved without the support of TME, a highly complex and heterogeneous ecosystem that includes not only the tumor cells themselves but also their surrounding cell milieu, including immunosuppressive cells (tumor-associated mesenchymal stem cells (TA-MSCs), cancer-associated fibroblasts (CAFs), myeloid-derived suppressor cells (MDSCs), tumor-associated macrophages (TAMs), immune and inflammatory cells, and various other cell types) as well as intercellular stroma, microvasculature, and biomolecules infiltrating from nearby regions [14, 15]. The interactions between tumor cells and TME promote proliferation, differentiation, invasion, metastasis and even drug resistance [16]. Multiple components of TME contribute to the formation of an immunosuppressive microenvironment that promotes tumor immune escape, thus accelerating progression of these events, which can be attributed to hypoxia, metabolic dysfunction, immune cell phenotypic shift, and tumor-derived exosomes (Tu-Exo) [1720]. As the most prevalent epigenetic modification of mRNA and non-coding RNA [21], m6A methylation achieves post-transcriptional control of protein expression through effects on RNA metabolism, in turn, influencing a wide range of cellular activities [10]. The efficacy of tumor immunotherapy is significantly limited by the immunosuppressive TME. To overcome these barriers, systematic evaluation of the phenotypic and functional changes of immune cells in TME is crucial. Interestingly, increasing evidence suggests that m6A methylation has the potential to support tumor immune escape via modulation of the immunosuppressive TME [2224]. Indeed, tumor cell proliferation leads to hypoxia, which promotes the onset of metabolic reprogramming and participates in the phenotypic and functional conversion of immune cells in a m6A methylation-dependent manner, leading to the formation of an immunosuppressive tumor microenvironment (TME) that facilitates changes in mutually supportive biological functions to stimulate distant tumor metastasis. This review focuses on the complex association of m6A methylation with TME, highlighting potential mechanisms by which m6A methylation contributes to tumor growth and metastasis, including regulation of the hypoxic environment, metabolic reprogramming, immune cells, and biological functions.

m6A methylation and hypoxia in TME

Excessive distance between the vascular system and tumor cells can lead to diffusion-limited hypoxia [25]. Under conditions of excessive tissue hypoxia, homeostasis of the microenvironment is disrupted, generating a hypoxic, hypoglycemic, and acidic TME conducive to tumor growth [26]. Notably, hypoxia and tumor growth form a mutually positive feedback loop. Tumor cell proliferation leads to excessive oxygen depletion and promotes a hypoxic environment in TME, which, in turn, provides conditions suitable for tumorigenesis and metastasis through multiple modalities including proliferation, differentiation, and drug resistance [23, 27]. Cell response to hypoxia is mainly controlled by hypoxia-inducible factors (HIF), heterodimeric helix-loop-helix proteins composed of O2-labile alpha and constitutively expressed beta subunits (HIF1α, HIF2α, and HIF-1β), involved in coordinating the regulation of numerous mechanisms that enable tumor cells to adapt to the hostile environment [28]. HIF-1α and HIF-2α primarily recognize similar hypoxia response elements in promoters of target genes and function stably in hypoxic environments [29]. HIF activates genes that control cellular oxygen homeostasis, including those involved in glucose metabolism and lactate metabolism. These molecular changes lead to a shift toward glycolysis rather than oxidative metabolism to accomplish tumor adaptive changes [30].

m6A methylation promotes tumor progression in hypoxic conditions

HIF is extensively involved in tumor metabolism and has been shown to play a pivotal role in immune escape. Numerous m6A modification-related enzymes participate in regulation of HIF methylation and expression, consequently affecting tumor progression [31]. The immunosuppressive TME is critical for tumor growth and paracrine mediators facilitate tumor evasion of immune surveillance. A number of researchers have proposed that hypoxia-induced ALKBH5 stabilizes transcripts and promotes relocalization of the transcriptional repressor, SFPQ, from the CXCL8 promoter to paraspeckles by eliminating the deposition of m6A-methylated lncRNA NEAT1, ultimately stimulating tumor macrophage recruitment and tumor immune escape through upregulation of CXCL8/IL8 in glioblastoma [32]. Interestingly, m6A methylation is involved in shaping the hypoxic, hypoglycemic, and acidic microenvironment and promotes tumor growth through metabolic reprogramming. For instance, upregulation of hepatitis B virus X-interacting protein (HBXIP) positively promotes expression of the m6A methylase METTL3, resulting in enhanced HIF-1α expression and maintenance of high levels of glycolysis, thus promoting malignant proliferation of hepatocellular carcinoma (HCC) [33]. Accordingly, we suggest that m6A methylation and hypoxia synergistically promote tumor proliferation via forming a positive feedback loop. Hypoxia-induced YTH-domain family 2 (YTHDF2) is reported to inhibit hepatocellular carcinoma (HCC) growth via destabilizing EGFR mRNA, which may contribute to resistance to tumorigenesis in a hypoxic environment [34]. However, hypoxia in TME mainly promotes tumorigenesis and malignant progression by altering m6A methylation levels to affect downstream adaptive responses, such as immune cell function and tumor biological behavior (including angiogenesis, autophagy, apoptosis, epithelial-mesenchymal transition (EMT), and distant metastasis [35]), as discussed in detail below.

HIF affects immune cell function

Hypoxia-mediated HIF is proposed to regulate various aspects of tumor immunity, particularly immune cell populations critical for effective anti-tumor immune responses. Disruption of these cell populations impairs the immune response and contributes to the development of immunosuppressive TME, thus allowing tumors to evade immune surveillance and killing.

As a major cellular component of the adaptive immune response to tumor neoantigens, T lymphocyte proliferation and function are significantly suppressed in hypoxia compared to normoxic conditions. Hypoxic areas of spleen and lymph may block CD8+ T-cell activation by stabilizing HIF1α and inhibiting TCR-mediated Ca2+ signaling [36]. In hypoxia, differentiation of effector T cells is suppressed and induces a decrease in effector cytokines (such as IFN-γ, IL-2, and proliferative cytokines), facilitating the tumor escape from immune-mediated detection and killing [37]. B cells are an important component of the immune system, and HIF increases the rate of B cell glycolysis, thereby reducing their proliferation and increasing B cell apoptosis to weaken the immune response; this process is associated with c-Myc-dependent glycolysis, ROS-induced apoptosis, glucose limitation, and the hypoxic microenvironment [38, 39]. Natural killer (NK) cells are known for their ability to non-specifically kill tumor cells. Multiple lines of evidence suggest that hypoxia can suppress the killing function of NK cells, potentially through activation of the PI3K/mTOR signaling pathway that upregulates HIF expression resulting in inhibition of NK cell function [40]. Furthermore, HIF1-α induces regulatory T cell (Treg) infiltration, which activates the immunosuppressive factor TGF-β, thereby impeding the antitumor potential of NK cells [41].

Immunosuppressive cells are essential for tumor growth and development, including Tregs, CAFs, and TAMs. Treg infiltration in TME could enhance tumor progression via suppressing anti-tumor immunity and promoting tumor immune evasion. Mechanistically, HIF-1 stimulates FOXP3 transcription by binding the promoter region of FOXP3 expressed in CD4+ T cells in a TGF-β-dependent manner, ultimately inducing differentiation into Tregs [42]. Specific cytokines act in concert with Treg to generate an environment that supports tumor growth. In HCC, Treg recruitment can be achieved via HIF-1α-dependent upregulation of CCL28 [43]. CAFs are abundant in stromal cells of TME and contribute to tumorigenesis by influencing the paracrine release of cytokines through various immunomodulatory mechanisms to promote extracellular matrix remodeling [44]. Considerable evidence suggests that HIF-1α is upregulated in CAFs and its activation in hypoxia mediates TGF-β signaling, which promotes release of CXCL13 from CAFs, thereby accelerating malignant progression of prostate cancer [45]. CAFs in TME can produce tumor-associated cytokines, such as IL-6, NF-κB, and TGF-β2, which support their function by enhancing secretion of HIF-1α and forming a feedback loop facilitating tumor migration and invasion by shaping the immunosuppressive TME [46, 47]. Therefore, blockage of the secretion of tumor-associated cytokines from CAFs may enhance the therapeutic effect of immune checkpoint blockade therapy. Macrophages that infiltrate tumor tissue or accumulate in the solid tumor microenvironment are defined as TAMs. Similar to CAFs, TAMs play important roles in tumor progression, such as promoting immunosuppression and proliferation through secretion of cytokines, which are mediated by HIF [48]. Tumors release succinate into the TME and activate the succinate receptor, which triggers the PI3K/HIF-1α signaling axis to polarize macrophages to TAMs and promote cancer cell migration and invasion [49].

Potential of hypoxia and m6A methylation to co-construct an immunosuppressive TME

Studies to date have established that hypoxia-mediated m6A methylation promotes tumorigenesis and HIF contributes to the formation of an immunosuppressive TME that provides suitable conditions for tumor proliferation. Our hypothesis that hypoxia-mediated m6A methylation weakens the anti-tumor capacity of immune cells and facilitates the formation of an immunosuppressive TME has been validated. For example, hypoxia-induced ALKBH5 eliminates deposition of the m6A methylated lncRNA, NEAT1, stabilizing transcription and promoting NEAT1-mediated paraspeckle assembly, thus leading to relocalization of SFPQ, a transcriptional repressor, from the CXCL8 promoter to paraspeckles and ultimately, TAM recruitment and immunosuppression via upregulation of CXCL8/IL8 [32]. Furthermore, hypoxia supports the m6A methylation process and tumor proliferation by increasing exosome release and altering its cargo, while tumor-derived exosomes can transform the immune cell phenotype to form suppressive TME (discussed in detail in section 4.3) [50], thus future research is warranted to establish the interrelationships among hypoxia, m6A methylation, exosomes and immunosuppressive TME in more detail, which would not only improve our understanding of the tumor epigenome (including the m6A methylation signaling network) but also help to identify novel anti-cancer targets.

m6A methylation and metabolic reprogramming in TME

Over the past few decades, the medical consensus has been that the majority of tumors are genetically related diseases and caused by genetic mutations of different causes. Increasing knowledge of tumor phenotypes supports two typical features of tumors: energy metabolic reprogramming and evasion of immune surveillance [51]. Maintenance of cancer cell viability and function as well as evasion of immune recognition depends on metabolic reprogramming [23], leading to the proposal that cancer is essentially an immune-related metabolic disease. The metabolic program of tumor cells provides a hypoxic, hypoglycemic, and acidic tumor microenvironment that supports proliferation. Meanwhile, hypoxia-induced HIF significantly enhances glycolysis and lipid metabolism that promote cancer-induced metabolic disorders, creating a positive feedback loop to accelerate tumor progression [16]. Therefore, hypoxia and metabolic reprogramming can be considered interdependent and synergistic factors and cooperate in the generation of an immunosuppressive TME to achieve adaptive changes required for tumor progression (Table 1).

Table 1.

Involvement of m6A methylation in regulation of tumor proliferation through TME

TME m6A regulator Tumor type Mechanism Effect on tumor progression References
Hypoxia METTL3 HCC Methylates FOXO3 RNA m6A methylation regulates sorafenib resistance in liver cancer through FOXO3-mediated autophagy [202]
Hypoxia ALKBH5 Breast cancer Hypoxia mediates NANOG mRNA m6A-demethylation through HIF dependence and ALKBH5 Induces breast cancer stem cell phenotype and accelerates tumor cell proliferation [166]
Hypoxia METTL3 HCC Induces upregulation of HIF-1α and maintenance of higher levels of glycolysis in hypoxia by positively promoting expression of the m6A methyl esterase METTL3 Promotes malignant biological behavior in hepatocellular carcinoma [33]
Hypoxia YTHDF2 Lung cancer Hypoxia-induced SUMOylation of YTHDF2 at the major site of K571 significantly enhances its binding affinity to m6A methylation-modified mRNA, leading to dysregulation of gene Promoting the progression of lung cancer [307]
Hypoxia ALKBH5 Glioblastoma Hypoxia-induced ALKBH5 eliminates m6A methylated lncRNA NEAT1 deposition, stabilizes transcripts and promotes NEAT1-mediated paraspeckle assembly, resulting in secretion of the immunosuppressive factor CXCL8/IL8 Shapes the immunosuppressive TME through TAM recruitment and supports immune escape in glioblastoma [32]
Metabolic FTO HCC FTO triggers the demethylation of PKM2 mRNA and accelerates translation Promotes hepatocellular carcinoma [62]
Metabolic IGF2BP2 Colorectal cancer Overexpression of the m6A methylation reader IGF2BP2 stabilizes the ZFAS1/OLA1 axis and increases OLA1 recruitment, ATP hydrolysis and glycolysis Promotes colorectal cancer cell invasion and colony formation by activating the Warburg effect [65]
Metabolic METTL1 HCC Upregulates PTEN/AKT signaling Promotes HCC growth, resulting in poor prognosis [308]
Metabolic METTL3 Uveal melanoma Upregulates c-Met, p-AKT, cyclin and CDK Promotes tumor cell metastasis and invasion [309]
Metabolic YTHDF2 Prostate cancer Binds to LHPP and NKX3-1 Promotes tumor growth [310]
Metabolic ALKBH5 Ovarian cancer Activates EGFR-PIK3CA-AKT-mTOR Promotes tumor proliferation [311]
Metabolic METTL3/YTHDF2 NA METTL3 promotes YTHDF2 binding to PPaRα through m6A modification to increase its mRNA stability Increases lipid accumulation in cells [85]
Immune escape ALKBH5 Pancreatic cancer Modulates CD8+ and CD4+ T cells aggregation Induction of tumor immune escape [312]
Immune escape ALKBH5 Melanoma Affects the expression of Mct4/Slc16a3 in TME to regulate the composition of tumor-infiltrating Tregs and MDSCs Promotes melanoma escape by enhancing immunosuppressive effects [157]
Immune escape YTHDF1 Colon cancer YTHDF1 induces lysosomal protease expression by recognizing its m6A methylation-tagged mRNA Resulting in the inability of DCs to consistently induce tumor neoantigen production and impeding antigen-specific activation of CD8+ T cells [123]
Immune escape YTHDF2 NA YTHDF2 exacerbates the CCR7‐induced DCs migration process and completely disables DCs by alleviating m6A modification‐based RNA degradation of lnc‐Dpf3 Promotes immune escape [125]
Immune escape FTO Melanoma FTO-mediated m6A demethylation in tumor cells enhances transcription factors c-Jun, JunB and C/EBPβ, thereby inducing hypoxia-mediated glycolytic metabolism and suppressing CD8+ T cell function Tumors exploit FTO-mediated regulation of glycolytic metabolism to evade immune surveillance [129]
Immune escape METTL3/IGF2BP3 Breast cancer METTL3/IGF2BP3 axis upregulates m6A modification of PD-L1 mRNA, suppressing T cell activation in breast cancer Promotes tumor immune escape [130]
Immune escape ALKBH5 NA Deletion of ALKBH5 in T cells reduces mRNA stability and corresponding protein expression Reduces neutrophil recruitment to the central nervous system during neuroinflammation resulting in impaired CD4+ T cell responses [131]
Immune escape METTL3 NA Downregulation of METTL3 leads to reduced METTL3-mediated methylation of m6A targeting the IL-7/STAT5/SOCS pathway Causes stagnation of T-cell development [132]
Immune escape YTHDF2 Lung cancer NPM1 negatively regulates the growth and development of B and NK cells through glycolysis and YTHDF2-mediated methylation Participates in immune infiltration of lung cancer and promotes immune tumor escape [134]
Immune escape METTL14 Colorectal cancer METTL14 in TAM induces CD8+ T cell dysfunction Promotes tumor progression [149]
Immune escape ALKBH5 Melanoma ALKBH5 regulates the composition of tumor-infiltrating Tregs and MDSCs by affecting Mct4/Slc16a3 expression in TME Achieves enhanced immunosuppressive effects and promotes immune escape of melanoma [157]
Immune escape METTL3 Melanoma METTL3 deficiency impairs YTHDF1-mediated SPRED2 translation, in turn, enhancing NF-κB and STAT3 activation via the ERK pathway Causes increased TAM-induced Treg infiltration into TME and supports tumor metastasis [150]
Immune escape WTAP Gastric cancer Elevated expression of WTAP affects tumor-associated T-lymphocyte infiltration Causes poor prognosis of gastric cancer [313]
Immune escape METTL3 Testicular germ cell tumors Expression of METTL3 is positively correlated with infiltration of CD8+ and CD4+ T cells Exerts an appropriate anti-tumor immune response [314]
Immune escape YTHDF2/METTL3 Melanoma/ovarian cancer YTHDF2/METTL3 maintain NK cell homeostasis and terminal maturation and promote NK cell function Enhances anti-tumor immunity [136, 138]
Exosomes ALKBH5 Glioblastoma Warburg effect promotes exosome circ_0072083 release to upregulate NANOG and ALKBH5 expression through multiple pathways Enhances resistance to temozolomide in gliomas [215]
Exosomes METTL3 Lung cancer Exosome miR-4443 regulates FSP1 m6A methylation-mediated ferroptosis Promotes cisplatin resistance in lung cancer [315]
Exosomes METTL7A Myeloma Induction of m6A methylation in adipocyte exosomal lncRNAs to mediate myeloma drug resistance Promotes drug resistance in myeloma and supports tumor growth [185]
Exosomes METTL3 Colorectal cancer m6A methylation-dependent promotion of miR-181d-5p expression in cancer-associated fibroblast exosomes Targeting NCALD inhibits 5-FU sensitivity in colorectal cancer [176]

Glucose metabolism

Abnormal glucose metabolism is the main feature of metabolic reprogramming in cancer cells. Energy metabolism characteristics that serve as a marker of high aggressiveness of tumor cells mainly include increased glycolytic activity and lactic acid fermentation [52]. Even in the presence of sufficient oxygen, tumor cells can undergo metabolic reprogramming that drives conversion of glucose to lactate (Warburg effect) [52]. Hypoxia induces a metabolic shift from oxidative phosphorylation to glycolysis and increases glycogen synthesis to facilitate tumor proliferation [53]. In cases where the level of oxygen does not meet tumor demand, tumor cells autonomously alter their flux through various metabolic pathways to meet increased bioenergetic and biosynthetic requirements and mitigate oxidative stress required for proliferation and survival [54]. The cellular response to such complex microenvironmental changes is regulated by multiple mechanisms. m6A methylation in TME leads to increased glycolysis and reduced mitochondrial function, thereby shifting energy production from mitochondria to glycolytic sources [55]. Interestingly, preferential activation of hypoxia-responsive glycolytic genes can be achieved via binding to m6A methylation regulators. Genes controlling extracellular glucose input (GLUT1) [56] and enzymes responsible for intracellular glycolytic breakdown of glucose (phosphofructokinase-1 (PFK1) and aldolase) are regulated by activated m6A methylation to induce glycolytic energy production [57]. These metabolic shifts shape the hypoxic, hypoglycemic, and acidic TME that facilitates tumor growth in multiple dimensions.

Several studies have demonstrated that m6A modulators (e.g., METTL3 and WTAP) affect tumor glucose metabolism by regulating glycolytic enzymes (Warburg effect) to promote proliferation [5860]. The glycolytic pyruvate kinase isoenzyme PKM2 (a glycolytic rate-limiting enzyme) is expressed in a variety of cells, particularly tumor cells [61]. The m6A eraser, FTO, accelerates translation and promotes malignant biological behavior of HCC by triggering demethylation of PKM2 mRNA. Moreover, knockdown of FTO retards tumor growth via induction of G0/G1 phase block [62]. c-Myc is a core regulator of glycolysis [63]. WNT/β-linked protein promotes m6A modification of c-Myc mRNA and supports tumor cell glycolysis and progression by inhibiting expression of FTO, a m6A demethylase [64]. Further studies revealed that the key regulatory network of the m6A methylation reader, IGF2BP2, stabilizes lncRNA and collectively contributes to mitochondrial energy metabolism in tumor pathogenesis. Specifically, metastasis and colony formation of colorectal cancer cells can be accomplished by upregulating IGF2BP2 to stabilize the ZFAS1/OLA1 axis, leading to increased ATP hydrolysis and glycolysis and activation of the Warburg effect [65]. Therefore, blockage of m6A methylation-dependent glycolysis may open up new avenues for anti-tumor strategies. However, m6A methylation modifiers act as a double-edged sword in the regulation of cellular processes associated with glycolysis, which may depend on the large number of RNA-binding proteins (RBPs), including both m6A methylation reading and non-reading proteins, and their recognition sites. Huang et al. [66] suggested that FTO suppresses APOE through IGF2BP2-mediated m6A methylation and inhibits glycolytic metabolism in PTC through regulating the IL-6/JAK2/STAT3 signaling pathway, thereby retarding thyroid cancer cell growth. Correspondingly, YTHDC1-mediated enhancement of miR-30d suppressed pancreatic tumorigenesis via attenuation of RUNX1-induced transcriptional activation of the Warburg effect [67]. Notably, metabolic programming can affect TME via modulation of the m6A modification process. One theory is that sphingolipids generated from sequential ceramide glycosylation activate cSrc and β-linked protein signaling, thereby upregulating METTL3 and mutant p53 R273H protein expression that promote tumor drug resistance [68]. Evidently, m6A methylation is a complex process and plays multiple roles in tumor metabolism, which may be attributed to differences in the types of m6A methylation regulators and their recognition sites. Clearly, while m6A modifications regulate metabolic programming, metabolism also supports tumor development by influencing the m6A modification process [68].

TME is a complex and dynamically changing ecosystem in which the components and metabolic processes are interrelated. Hypoxia causes metabolic disturbances that support tumor progression [69]. According to recent literature, HBXIP drives the metabolic reprogramming of HCC through METTL3-mediated m6A methylation of HIF-1α, which stimulates the Warburg effect and tumor cell survival [33]. Correspondingly, with the involvement of HIF-1α, follicular helper T cell differentiation may be promoted by the E3 ubiquitin ligase VHL via m6A methylation-mediated glycolytic modification [70], which supports the formation of germinal centers and malignant tumors, such as follicular lymphoma [71]. As an important component of TME, exosomes (to be mentioned later) are synergistically involved in the construction of pre-metastatic ecological niches (PMN) to facilitate tumor metastasis. For instance, miR-122 in breast cancer-derived exosomes inhibits glucose uptake in recipient cells by downregulating the glycolytic enzymes pyruvate-kinase-2 (PKM2) and GLUT1, inducing nutrient competition in favor of tumor cells and promoting migration [72]. Similarly, Tu-Exo-contained miR-105 could induce MYC-dependent metabolic programs in CAFs. Glucose and glutamine metabolism were enhanced in these reprogrammed CAFs to provide energy to neighboring tumor cells [73]. Therefore, interactions among hypoxia, exosome, glucose metabolic and m6A methylation exist that contribute to the generation of a microenvironment conducive to tumor development.

Lipid metabolism

Lipids are hydrophobic molecules that include sterols, glycerol monoesters, diacylglycerides, triglycerides, phospholipids, and glycolipids. Digestion, absorption, synthesis, and breakdown of lipid metabolism through the actions of multiple enzymes are necessary to maintain cellular homeostasis [23]. Cancer cells regulate and utilize lipid metabolism to support their own proliferation and metastasis to meet the high nutrient demand. In addition, lipid production provides material and energy sources for tumor proliferation [74], a typical example being fatty acid oxidation. Activation of fatty acid synthase is induced by lipid transformation to support tumor cell survival and invasion [75]. The available data clearly indicate that m6A modifications regulate lipid metabolism to support tumor progression [76]. For instance, YTHDF2 supports glioblastoma growth by inducing cholesterol dysregulation [77].

FTO-dependent m6A demethylation is intimately involved in multiple aspects of lipid metabolism. Interestingly, overexpression of FTO in HepG2 cells has been shown to enhance the expression of genes involved in lipid metabolism (FASN, SCD1) and downregulate lipid transport genes (MTTP, APOB), thereby causing lipid accumulation and conditions supporting the development of various diseases, including cancer [78]. Furthermore, FTO overexpression enhances the levels of the key regulators of lipogenesis (SREBP1c, CIDEC) in hepatocytes and accelerates lipid accumulation [79]. Therefore, silencing of FTO expression may present a potential therapeutic strategy. Similarly, the m6A methylation reader, HNRNPA2B1, upregulates fatty acid metabolism-related genes, ACLY and ACC1, which contribute to tumor growth and metastasis, by promoting lipid accumulation in cells [80]. Conclusive evidence indicates that hypoxia-induced m6A methylation provides nutritional and environmental support for tumor growth by regulating glucose metabolism [81, 82]. Accordingly, we speculate that similar situations may arise in lipid metabolism. Expression of fatty acid binding protein-5 (FABP5) is regulated by FTO in liver tissues [83], and it is proposed that FABP5 could enhance HIF-1α activity by disrupting FIH/HIF-1α interactions when promoting HIF-1α synthesis, thereby activating the FABP5/HIF-1α axis to support lipid accumulation in the liver and facilitate HCC proliferation [84]. However, these inferences require further research. Furthermore, METTL3 is reported to promote YTHDF2 binding to PPARα through m6A modifications that mediate its mRNA stability and enhance lipid accumulation in cells, suggesting that m6A RNA methylation regulates metabolic processes by affecting downstream genes and circadian rhythms of lipid metabolism [85].

Amino acid metabolism

Tumor cells have increased demand for amino acids to meet their rapid proliferation requirements. Metabolism of amino acids in the body is mainly manifested as synthesis of nitrogenous substances such as proteins and peptides required for their own synthesis, while catabolism of amino acids occurs through deamination and transamination to produce metabolites, such as α-keto acids and CO2. Glutamine, a highly abundant amino acid in the human circulation, is catabolized to glutamate, internalized into mitochondria, converted to α-ketoglutarate, which enters the tricarboxylic acid (TCA) cycle to fuel the production of energy and intermediates [86]. TCA plays an irreplaceable role in multiple metabolic pathways and its functional maintenance in tumor cells is dependent on elevation of glutaminase. Therefore, among the several factors closely associated with tumor progression, one important feature of tumor energy metabolism is amino acid degradation [87]. For example, m6A modification-mediated upregulation of DEGS2 in kidney cancer inhibits ceramide synthesis to increase the invasive ability of cancer cells [88]

Under hypoxic conditions, glutamine consumption in tumor cells is increased and preferentially provides carbon for fatty acid synthesis through reductive carboxylation, where glutamine-derived α-ketoglutarate is reduced to citrate by isocitrate dehydrogenase and NADPH is oxidized to NADP+ to provide energy for tumor cell growth [89]. In renal clear cell carcinoma, loss of Von Hippel-Lindau (VHL) tumor suppressor function that leads to a significant increase in HIF activity is a critical indicator [90]. Synthetic lethal effects of FTO and VHL, structural activation of VEGF and PDGF induced by VHL inactivation, and targeting of VEGF and PDGF to the downstream glutamine transporter SLC1A5 promote VHL deficiency-mediated metabolic reprogramming in kidney cancer cells and selectively affect the proliferation of VHL-deficient kidney cancer cells [91]. This signaling pathway can transmit molecular signals from outside the cell through the membrane to within the cell, also observed in m6A methylation-regulated amino acid metabolism [92, 93]. A novel hypoxic lncRNA, KB-1980E6.3, encodes RNA-binding regulatory peptide, which recruits the m6A methylation reader, IGF2BP1, and promotes its binding to m6A methylation-modified c-Myc coding region instability cluster (CRD) mRNA via a KB-1980E6.3/IGF2BP1/c-Myc signaling axis to maintain c-Myc mRNA stability and augment tumorigenesis [94]. In another interesting experiment, targeting YTHDF1 effectively re-sensitizes cisplatin-resistant colon cancer by modulating GLS-mediated glutamine metabolism, providing a novel strategy for targeted glutamine therapy for cancer [95].

Mitochondrial metabolism

Considering the key role of mitochondria as cellular energy factories and metabolic centers, abnormalities in mitochondrial metabolism support tumor proliferation and metastasis. Tumor cell stemness is maintained via oxidative phosphorylation and mitochondria-dependent energy synthesis [96]. A mitochondrial enzyme, methylenetetrahydrofolate dehydrogenase-2 (MTHFD2), involved in HIF-2α transcriptomic regulation has been shown to promote progression of kidney cancer [97]. MTHFD2 is not considered an m6A methyltransferase but is overexpressed in renal cancer and involved in regulation of m6A methylation. In particular, MTHFD2 promotes translation of HIF-2α via m6A methylation, in turn, stimulating aerobic glycolysis and cancer cell progression. MTHFD2 increases METTL3-dependent methylation levels of HIF-2α, which, in turn, binds the promoter region of the MTHFD2 gene. Its overexpression induces an increase in MTHFD2 levels, resulting in the formation of a positive feedback loop and enhanced tumor proliferation through mitochondrial metabolism [97]. Thus, in mitochondria, hypoxia and metabolic reprogramming may synergistically mediate the malignant biological behavior of tumor cells through m6A methylation. Moreover, metabolites generated by mitochondrial dysfunction inhibit VHL-dependent HIF-2α degradation, creating a pseudo-hypoxic state. However, in VHL-deficient cells with high FTO expression, PGC-1α expression is induced via a decrease in m6A methylation, which restores mitochondrial activity and promotes oxidative stress (OS) and ROS production, with consequent inhibition of tumor progression [98]. An earlier study by Duan et al. [23] reported that m6A modifications regulate tumor progression through effects on multiple signaling pathways, including mTOR, MAPK, PI3K-Akt, Wnt, and NF-κB. Furthermore, multiple metabolic pathways may be interconnected, with FTO-induced downregulation of m6A levels leading to inhibition of mitochondrial metabolism, which would promote lipid accumulation and provide potential for dysregulated lipid metabolism-mediated tumorigenesis [99].

Glycan metabolism and vitamin metabolism

Additionally, m6A methylation regulates the progression of many diseases through vitamin metabolism (vitamin B12/C/D, etc.) [100102]. Vitamin B12 deficiency dysregulates m6A mRNA methylation of genes associated with neurological function, such as cognitive dysfunction, mental retardation, or memory impairment [100]. In addition, m6A methylation is also involved in peritoneal injury through vitamin metabolism (vitamin D) [102]. However, little literature is available on the role of m6A methylation with vitamin metabolism in tumors. For glycan metabolism, multiple m6A methylation regulators (METTL13/IGF2BP2/YTHDF2, etc.) regulate the development of multiple diseases (e.g., tumor and kidney injury) through glycan metabolism. [103, 104], and these pathogenic mechanisms involve different signaling pathways (GLUT1-mTORC1 axis, TRAF6/NF-κB and NF-κB/MAPK pathways). For example, METTL3 promotes colorectal cancer by activating the m6A-GLUT1-mTORC1 axis [104]; YTHDF2 mediates lipopolysaccharide-induced osteoclastogenesis and inflammatory response via the NF-κB and MAPK signaling pathways [105]. However, the impact of glycan metabolism on tumor biological functions needs to be further explored in the future.

Metabolites shape the immunosuppressive TME

Mounting evidence suggests that intermediates or products of tumor metabolism regulate the proliferation, differentiation, activation, and function of immune cells. Metabolic programs can produce toxic metabolites that reshape the microenvironment to promote tumor survival, such as 2-hydroxyglutarate (2-HG), lactic acid, and H+. Metabolites can also mediate immunosuppressive functions through m6A methylation. For instance, lactic acid-driven METTL3 mediates RNA m6A modifications that promote immunosuppressive capacity [106].

Tumors consume glucose and produce lactic acid, even in the presence of sufficient oxygen. Lactic acid accumulates in the extracellular environment and contributes to the formation of an acidic TME by activating monocarboxylate transport proteins in the cell membrane. Both lactate accumulation and TME acidification have profound effects on T cell-mediated antitumor immune responses [107]. Tumor-derived lactate promotes Treg activity in highly glycolytic TME and impairs CD8+ T cell function [108]. Indeed, tumor glycolysis-derived lactate accelerates tumor proliferation by promoting secretion of IL-23 and IL-17 [109]. Lactic acid causes functional changes in NK cells, intake of pathological concentrations of lactic acid leads to intracellular acidification of NK cells, which inhibits upregulation of nuclear factor of activated T cells and leads to decreased IFN-γ production and selective apoptosis of T and NK cells, resulting in accelerated tumor immune escape [110]. In TME, lactic acid alters the TAM phenotype to acquire tumor growth-enhancing properties, lactate inhibits TFEB-mediated expression of the macrophage-specific vesicular ATPase subunit, ATP6V0d2, by activating mTORC1, resulting in HIF-2α lysosomal degradation and programming of TAMs to a tumor growth-promoting immunophenotype [111]. Moreover, lactic acid in highly glycolytic TME enhances Treg cell function via upregulating PD-1 while suppressing effector T cell function, which underlies treatment failure [108].

Under nutrient-deficient conditions, nutrient acquisition by tumor cells can be achieved by scavenging extracellular proteins and degrading them to amino acids, including glutamine [112]. Besides cancer cells, glutamine utilization in immune cells reflects cell fate decisions and immune responses, such as activation of macrophages and neutrophils [113, 114]. Selective death of immune cells is significantly decreased with increasing glutamine utilization. Glutamine-mediated downregulation of the pro-apoptotic proteins, Bax and Bcl-xs, leads to increased survival of neutrophils [115]. Moreover, glutamine affects the secretion of pro-inflammatory cytokines by macrophages. In renal cancer, glutamine depletion leads to activation of HIF-1α and promotes secretion of IL-23 by tumor-infiltrating macrophages to activate regulatory T cell proliferation and enhance expression of IL-10 and transforming growth factor β, thereby inhibiting tumor cell killing by cytotoxic lymphocytes [116]. This finding confirms our conclusion (section 3.3) that glutamine degradation is a feature of cancer metabolism as a functional sustainer of tumor cells. Prostate cancer cells are radiosensitized by glutamine deprivation, which induces DNA damage, oxidative stress, epigenetic modifications, and tumor stem cell depletion [117]. Conversely, prostate cancer cells resistant to glutamine depletion display activation of autophagy-related gene-mediated macroautophagy/autophagy as a survival strategy against radiation-induced damage [117]. However, owing to tumor heterogeneity, the effects of glutamine in each tumor type need to be analyzed.

Lipid metabolites and key enzymes of the tricarboxylic acid cycle, such as isocitrate dehydrogenase (IDH), additionally have similar immunosuppressive functions. Indeed, abnormal accumulation of lipid metabolites in tumor-infiltrating myeloid cells has been shown to mediate immune reprogramming and contribute to conversion of immune cells into immunosuppressive and anti-inflammatory phenotypes [118]. Furthermore, mutations in IDH promote derivation of the oncogenic metabolite, 2-HG, which limits the production of chemokines, CXCL9 and CXCL10, by downregulating STAT1, resulting in reduced infiltration of CD8+ T cells and tumor escape [119]. Notably, tumor cell-derived metabolites have a non-negligible impact on immune cells in TME. The number of tumor metabolites and their effects on immune cells are too diverse for exhaustive explanation. Here, we have focused on the regulation of immune cells by lactate and glutamine. The immune regulation effects of other metabolites require considerable study. Collectively, the data suggest that m6A methylation elicits tumor metabolic reprogramming and affects immune cell functions and phenotypic shifts through supplying metabolites to generate an immunosuppressive TME, thus contributing to metastasis and invasion.

m6A methylation remodels immunosuppressive TME by directly affecting immune cells

Dysregulation of m6A methylation is closely related to cancer development and pathogenesis [120]. The majority of current studies have focused on immune regulation of tumors, with the key aim of addressing the persistent immunosuppressive response in TME [121]. However, the detailed mechanisms underlying the contributory effects of m6A methylation in immune cells to the series of transformations that culminate in "tumor immunity" are yet to be established (the formation of immunosuppressive TME). Here, we provide minimal representative but not exhaustive examples of some aspects of association of m6A methylation with tumor cell functions (Fig. 1).

Fig. 1.

Fig. 1

Effects of m6A modification on immune cells in hypoxia and metabolic TME. The different colored lines represent interactions of m6A modifications in immune cells through the respective pathways

m6A methylation and anti-tumor immune cells in TME

Dendritic cells

Substantial abnormalities of m6A methylation have been reported in immune cells, such as dendritic cells (DCs), in TME. In certain cases, m6A methylation of mRNA expression significantly promotes immune dysfunction and tumor escape, in part, by inhibiting immune cell function, rather than suppression of cell proliferation and differentiation [122]. For example, YTHDF1 induces lysosomal protease expression by recognizing its m6A methylation-tagged mRNA and enhancing translation efficiency, further resulting in the inability of DCs to consistently induce tumor neoantigen production and impeding antigen-specific activation of CD8+ T cells [123]. Conversely, YTHDF1 deficiency in gastric cancer promotes the recruitment of mature DCs, which further stimulate MHCII expression and IL-12 secretion, in turn, increasing CD4+ and CD8+ T cell infiltration and IFN-γ secretion that potentially contribute to restoration of tumor immune sensitivity [124]. Therefore, YTHDF1 deletion may enhance antitumor immunity by facilitating interactions with DCs, rather than promoting their differentiation and proliferation, supporting a potential role of YTHDF2 as a tumor immunosuppressive factor. m6A modifications are also implicated in CC-chemokine receptor-7 (CCR7)-mediated migration of DCs and DC-based immune response pathways. The lncRNA Dpf3 plays a key role in these pathways, directly promoting HIF-1α activity and HIF-1α-dependent glycolytic metabolism to ultimately inhibit DC migration and inflammatory responses. YTHDF2 further exacerbates CCR7‐induced DC migration and completely disables DCs by alleviating m6A modification‐based RNA degradation of Dpf3 [125]. Therefore, induction of checkpoint blockade of YTHDF1 or YTHDF2 depletion in DCs may be effectively utilized as a potential immunotherapeutic strategy. Correspondingly, DC activation and function are influenced by METTL3-mediated methylation [126]. Specific depletion of METTL3 leads to impaired phenotypic and functional maturation of DCs and reduced expression of co-stimulatory molecules CD40, CD80 and cytokine IL-12 involved in maturation. Silencing of METTL3 has been shown to reduce the ability of DCs to stimulate T-cell responses [24]. Moreover, METTL3-mediated methylation of CD40, CD80 and TLR4 signal transduction junction TIRAP transcripts promotes translation in DCs to stimulate T-cell activation and enhances TLR4/NF-κB signaling to promote cytokine production [126]. Given the functional differences between METTL3 and YTHDF1/2 in DCs, this finding may be attributed to the involvement of m6A modifications in the adaptive alterations of hypoxia and glycolysis of immune cells in TME.

T and B cells

T cells are an important component of the human immune system. T cell receptors are responsible for initiating signaling pathways that activate, inactivate or eliminate T cells and alterations in T cell-positive/negative regulatory factors can inhibit T cell function and mediate immune escape [127, 128]. Methylation of m6A affects T cells in multiple ways (including signaling pathways and glycolytic metabolism), leading to profound effects on T cell differentiation and function and generation of an immunosuppressive environment to facilitate tumor evasion of immune surveillance [70, 129]. FTO-mediated m6A demethylation in tumor cells enhances transcription factors, such as c-Jun, JunB and C/EBPβ, thereby inducing hypoxia-mediated glycolytic metabolism and suppressing CD8+ T cell function [129]. VHL deficiency regulates m6A methylation levels in ICOS through a HIF-1α-dependent glycolytic pathway and inhibits T cell maturation [70]. Interestingly, the METTL3/IGF2BP3 axis promotes tumor immune escape via m6A modification of PD-L1 mRNA and suppression of T cell activation in breast cancer [130]. These findings suggest that m6A methylation in tumor cells could remodel TME and mediate immune escape by affecting T cell functions. Moreover, m6A modifications in T cells appear to regulate the autoimmune response. Deletion of ALKBH5 in T cells leads to impairment of CD4+ T cell responses through reduction of mRNA stability and corresponding protein expression and decreased neutrophil recruitment into the central nervous system during neuroinflammation [131]. Furthermore, downregulation of METTL3 induces reduction of METTL3-mediated methylation of m6A targeting the IL-7/STAT5/SOCS pathway and stagnation of T cells at the naive stage [132]. Thus, in malignant TME, m6A methylation in both tumor and T cells impairs the immune response in vivo. However, the potential existence of a positive feedback loop between the two is yet to be established.

Reader proteins of m6A methylation play important regulatory roles in development of B cells [133]. For instance, NPM1 negatively regulates the growth and development of B and NK cells through glycolysis and YTHDF2-mediated methylation, possibly involving the mTORC1-mediated p53-hypoxia pathway [134]. Furthermore, downregulation of METTL14 may trigger severe defects in B cell development via inhibition of IL-7-induced pro-B cell proliferation and pre-B cell transition [122]. However, the detailed mechanisms by which m6A methylation achieves its effects on T and B cells, i.e., by inhibiting cell function and migration or suppressing proliferation and apoptosis (attributable to differences in immune cell types and m6A modification pathways and the effects of glycolysis) warrant comprehensive investigation.

Natural killer cells

Natural killer (NK) cells are irreplaceable components of the immune system due to their ability to directly identify and kill tumor cells [135]. m6A modifications regulate the anti-tumor function of NK cells in several ways [136]. As important regulators of NK cell antitumor immunity and homeostasis in vivo, METTL3- and YTHDF2-mediated m6A methylation can positively regulate antitumor immunity of NK cells [137]. YTHDF2 maintains NK cell maturation, homeostasis, and antitumor activity by regulating downstream target genes, including signal transduction and activator of transcription-5 (STAT-5), Eomesodermin and TARDBP [136]. Downregulation of METTL3 leads to NK cell hyporesponsiveness to IL-15 and promotes tumor immune escape via targeted effects on protein tyrosine phosphatase-2 [138]. An earlier bioinformatics study lacking experimental validation showed that NPM1 expression is negatively correlated with B and NK cells and regulated by YTHDF1-mediated m6A modifications as well as multiple glycolytic genes [134]. Considering the lack of detailed information, clarification of the mechanisms underlying m6A methylation-mediated effects of hypoxia and metabolic reprogramming on NK cell proliferation and activation is of significant interest for the purpose of therapeutic application.

Macrophages

Macrophages can polarize into activated macrophages with anti-tumor function (M1 type) or those that favor tumor proliferation (M2 type) [139]. Regulation of macrophage polarization by m6A methylation is manifested in several aspects and serves to maintain homeostasis of the microenvironment. For instance, upregulation of METTL3 significantly promotes M1 and inhibits M2 macrophage polarization [140]. METTL3 deficiency is associated with loss of m6A modifications on Irakm mRNA and slower degradation, ultimately resulting in inhibition of TLR -mediated macrophage activation [141]. FTO silencing suppresses the phosphorylation of IKKα/β, IκBα and p65 in the NF-κB signaling pathway and inhibits M1 and M2 macrophage polarization [142]. Glycolysis in TME has been shown to impair the anti-tumor function of macrophages. RNA-binding motif-4 (RBM4) interacts with YTHDF2 and degrades m6A-modified STAT1 mRNA, subsequently inhibiting IFN-γ-induced M1 macrophage polarization through regulation of glycolysis [143]. The collective findings provide key insights into the molecular mechanisms underlying m6A modification and metabolic reprogramming-mediated regulation of macrophages.

Granulocytes

The granulocyte family is classified into neutrophils, eosinophils and basophils, which perform phagocytic and bactericidal functions in the immune system. Granulocyte expression and function are known to be influenced by m6A modifications. Considerable evidence suggests that YTHDF2, METTL14, METTL3, and ZC3H13 are significantly correlated with the level of infiltration of neutrophils, macrophages, and eosinophils [144146]. METTL3 and HNRNPC positively regulate CD4 memory-activated T cells and eosinophils in head-and-neck squamous cell carcinoma (HNSCC) [146]. Moreover, WTAP-dependent m6A methylation in neutrophils promotes glycolysis in breast cancer, supporting the potential involvement of hypoxia and metabolism in granulocyte regulation [147]. Promotion of granulocyte expression via m6A modification in tumor cells may be considered an adaptive immune response in the early tumor stages while tumor proliferation via m6A modification in granulocytes may be attributed to modulation of immune cells by malignant TME in the advanced tumor stages.

m6A methylation promotes immunosuppressive cell functions

TAMs

Tumor-associated macrophages (TAMs) are at the core of the immunosuppressive cell and cytokine networks that play a critical role in tumor immune evasion through mechanisms associated with m6A modifications, such as promotion of TAM aggregation and immunosuppressive functions of ALKBH5 [148] and involvement of FTO in macrophage M2 polarization via the NF-κB pathway [32, 142]. TAM-induced regulation of immunosuppressive TME is a complex process and hypoxia-mediated m6A methylation may contribute to TAM recruitment and immunosuppression [32]. TAMs can inhibit antitumor immune cell functions and enhance the recruitment or differentiation of immunosuppressive cells. Hypoxia-mediated ALKBH5 is reported to significantly accelerate TAM recruitment and immunosuppression [134] and the m6A methyltransferase METTL14 in TAMs induces CD8+ T cell dysfunction and tumor progression [149]. In addition, METTL3 deficiency impairs YTHDF1-mediated SPRED2 translation, which enhances NF-κB and STAT3 activation via the ERK pathway, resulting in increased TAM-induced Treg infiltration into TME and tumor metastasis [150].

Treg

m6A methylation-dependent immune functions have also been reported in Treg, which serve as key immunosuppressive effector T cells in TME and are extensively regulated by m6A methylation-mediated SOCS genes. In mouse Tregs, METTL3/m6A methylation knockdown is reported to upregulate SOCS family genes through enhancing mRNA stability, thereby suppressing the IL-2/STAT5 pathway essential for Treg activity. Paradoxically, enhanced SOCS activity has been shown to inhibit IL-7-mediated STAT5 activation and T cell homeostatic proliferation and differentiation [132], whereas m6A methylation is critical for inducible degradation of SOCS mRNA in response to IL-7 signaling to reprogram naive T cells for proliferation and differentiation. This discrepancy may be ascribed to cell specificity and environmental effects on Treg m6A methylation-mediated regulatory effects. Furthermore, deletion of METTL3 results in an inability to activate natural T cell proliferation and METTL3-mediated inflammation in mice [151]. Our collective findings confirm the regulatory effects of m6A methylation on the immune function of Tregs, although it remains to be established whether (1) the malignant TME affects Treg function through m6A modifications and (2) other immunosuppressive cells can activate m6A methylation in Tregs and accelerate proliferation and differentiation via secretion of cytokines.

MDSCs

Myeloid-derived suppressor cells (MDSCs) are bone marrow-derived heterogeneous precursors of dendritic cells, macrophages and granulocytes [152] that exert immunosuppressive functions through multiple pathways [153] including negative regulation of immune responses in tumors and other diseases, in which m6A methylation plays an important role, for example, ALKBH5 promotes PD-L1 expression on monocytes/macrophages and reduces infiltration of MDSCs [154]. Accumulating evidence indicates that m6A modifications are involved in the differentiation and functional regulatory network of MDSCs to create an inhibitory microenvironment conducive to tumor growth, including high METTL3 expression in cervical cancer and m6A modification-mediated Olfr29-ps1/miR-214-3p/MyD88 regulation in renal cancer [155, 156]. ALKBH5 regulates the composition of tumor-infiltrating Tregs and MDSCs by affecting Mct4/Slc16a3 expression in TME, ultimately achieving enhanced immunosuppressive effects and promoting melanoma escape. Conversely, deletion of ALKBH5 attenuates the immunosuppressive function of MDSCs and enhances the efficacy of tumor immunotherapy [157]. Interestingly, elevated expression of METTL3 is associated with regulation of MDSC differentiation and poor prognosis of cervical cancer [155]. However, cisplatin-targeting METTL3 was used to block G-CSF methylation, which reduced the number of MDSCs, thereby achieving successful inhibition of bladder cancer progression [158]. Therefore, blocking specific m6A modifications in tumors may present a feasible technique for targeted tumor therapy. Notably, differentiation of MDSCs is a complex and variable process, metabolic programming products can also mediate immunosuppression of MDSCs through m6A methylation. For instance, the metabolite lactic acid upregulates METTL3 expression in MDSCs by inducing histone lactonization, leading to increased m6A modification and immunosuppressive activity, and ultimately, tumor immune escape [106]. However, limited reports to date have focused on establishing the effects of hypoxia and metabolic reprogramming on the status and behavior of MDSCs. Further research is essential to determine the interactions between the components of TME and their effects on the differentiation status of MDSCs.

MSCs and TA-MSCs

The interactions between mesenchymal stem cells (MSCs) and TME are complex. MSCs act as antigen-presenting cells (APCs) that activate tumor-adaptive immune responses to retard tumor growth [159]. In addition, MSCs have strong differentiation and proliferation capability and can inhibit multiple immune cells and promote tumor cell escape from immune surveillance by participating in generation of TME [160]. Studies to date have focused on the effect of m6A methylation on MSCs at the site of tumor metastasis rather than primary TME. m6A methylation is involved in the mechanism of differentiation of bone marrow-MSCs (BM-MSCs) into osteoblasts. METTL3 is upregulated in BM-MSCs during osteogenesis induction and its knockdown inhibits BM-MSC differentiation, which may be ascribed to a significant decrease in phosphorylation in the AKT signaling pathway [161]. Furthermore, BM-MSCs participate in TME remodeling via recruitment to tumor sites or may even transform directly into tumor cells through complex interactions with TME. BM-MSCs can differentiate into VECs, myofibroblasts and even CAFs, and secrete multiple factors in TME that strongly support tumor proliferation, angiogenesis, and invasion [162, 163]. Future studies should focus on the potential impact of m6A methylation on MSC behavior in TME. Importantly, MSCs can transform into TA-MSCs that strongly support tumor proliferation with the involvement of tumor-secreted cytokines. Although limited literature has documented the relationship between m6A and TA-MSCs, our group confirmed that TA-MSCs express high levels of macrophage migration inhibitory factor (MIF), which enhances FTO expression in pancreatic cancer cells and promotes proliferation, migration and invasion (unpublished results). Conversely, knockdown of MIF in TA-MSCs reduced FTO expression and attenuated the cancer-promoting effect. Similarly, knockdown of FTO in TA-MSCs decreased their pro-tumorigenic effect while overexpression of FTO rescued the decreased function of cancer cells induced by MIF knockdown in TA-MSCs. These findings clearly indicate that m6A modification affects the biological function of TA-MSCs, although the precise mechanisms linking m6A methylation with regulation of tumor progression remain to be established.

CAFs

Cancer-associated fibroblasts (CAFs) potently support tumor proliferation and metastasis, mainly through the activities of paracrine cytokines. Recent findings have revealed a critical role of Zfp217-FTO-YTHDF2 in fibroblast-mediated differentiation of adipocytes from 3T3L1 cells [164]. However, few studies have focused on the effects of m6A methylation in the secretory functions of CAFs, which should be extensively explored bearing in mind the multiple ways in which CAFs mediate tumor invasion. In addition, m6A modification is additionally implicated in EMT [165], tumor stem cell transformation [166], chemoresistance [167], and distant metastasis. The issue of whether hypoxia and metabolic reprogramming-mediated m6A methylation contribute to these processes via CAFs deserves further attention.

In TME, hypoxia and glycolysis-based metabolic reprogramming (metabolites such as lactic acid) are extensively involved in the functional regulation of immune cells and create an immunosuppressive microenvironment with the aid of m6A modifications that supports tumor growth. Immunosuppressive cells can inhibit the functions of anti-tumor immune cells. For example, METTL14 in TAM promotes dysfunction of CD8+ T cells and tumor progression [149]. In turn, tumor cells further support proliferation by activating m6A modifications in anti-tumor immune cells (such as Treg and TAM [150]) and converting them to immunosuppressive phenotypes through secretion of cytokines [136, 168]. Moreover, m6A modification in tumors regulates the levels of anti-tumor immune and immunosuppressive cells to shape the immunosuppressive TME. For instance, expression levels of METTL3 in breast cancer are negatively correlated with CD8+ T cells, helper T cells and activated NK cells and positively correlated with TAMs [169]. Given the complexity of TME, exploring the intricate crosstalk in the m6A methylation-regulated immune microenvironment could provide valuable insights for improving targeted treatment of tumors.

Exosome and m6A methylation affect immune cell functions

Exosomes (30–150 nm in diameter) are extracellular vesicles (EVs) with a double lipid membrane [170]. Under pathological and physiological conditions, almost all cells (including tumor cells) secrete exosomes for metabolic distribution throughout the body [170]. As a significant medium for cellular communication, the intercellular signaling transmission function of exosomes is mainly attributed to the constituent proteins, nucleic acids and lipids [14] among which miRNA, mRNA, and lncRNA play irreplaceable roles [171]. The hypoxic environment accelerates tumor signaling, disrupts the balance of the normal TME through promoting exosome secretion by tumor cells and performs essential functions in a range of pathological conditions [172], including tumor invasion, immune escape, metabolic dysregulation, and chemoresistance [173], thus promoting accelerated tumor cell growth. However, tumor cell proliferation consumes oxygen, leading to more severe tissue hypoxia [174]. Thus, tumor exosome secretion promoted by hypoxia creates a vicious cycle in which they support each other to facilitate tumor proliferation and invasion. For instance, in hypoxic TME, CAFs alter their exosome content and increase exosome release through metabolic reprogramming [175], CAF-derived exosomes have been shown to inhibit the sensitivity of colorectal cancer cells to 5-fluorouracil and promote metastasis via the METTL3/miR-181d-5p axis [176].

Tu-Exo converts immune cells into a phenotype that favors tumor growth and promotes distant metastasis and chemoresistance of tumor cells by shaping the immunosuppressive TME [14, 177, 178]. The mechanism of this phenotypic shift in immune cells appears to be related to Tu-Exo-mediated cytokines and chemokines. Tu-Exo has been shown to inhibit T cell activity and induce apoptosis [179, 180]. Elevated Treg activity contributes to an immunosuppressive TME. Specifically, upregulation of chemokine ligand 20 in nasopharyngeal carcinoma-derived exosomes is reported to enhance recruitment of Treg to TME and increase its immunosuppressive function via Treg amplification [181]. Importantly, Tu-Exo carries cytokines and chemokines that transform MSCs into TA-MSCs with a pro-tumor phenotype. TA-MSCs have strong immune escape and intercellular signaling capabilities that generate a microenvironment favorable for tumor growth and metastasis. This TME remodeling drives the conversion of immune cells to a phenotype conducive to tumor proliferation [14]. TA-MSCs are able to regulate signaling through secreted exosomes, thereby affecting tumor proliferation and metastasis. For example, TA-MSCs promote M2 macrophage differentiation by inducing overexpression of PD-L1 in CD206+ macrophages, which accelerates tumor invasion [182]. A study by Yang et al. characterized the mechanisms by which Tu-Exo affects immune cell function and generates PMN. Specifically, Tu-Exo induces immunosuppression by downregulating NKG2D in NK cells and activates PI3K/AKT signaling to promote M2 macrophage polarization [183].

Immune escape, a key link in tumor proliferation, may be achieved by exosomal cargo-mediated m6A methylation. For instance, circNEIL3 contained in exosomes secreted by glioma cells accelerates tumor evasion of immune surveillance by blocking HECTD4-mediated ubiquitination to stabilize the m6A methylation regulator, IGF2BP3, and promote an immunosuppressive phenotype in macrophages [184]. Interestingly, tumor proliferation requires oxygen consumption and hypoxia promotes release of exosomes from tumor cells [174], Tu-Exo supports PMN formation by metabolic reprogramming or directly affecting immune cell function, facilitating tumor metastasis and invasion. Furthermore, exosome-carried substances can influence tumor progression through m6A methylation, which, in turn, produces ideal conditions for tumor growth and metastasis by regulating immune cell function [150, 185]. Accordingly, we suggest that as biomolecules that transmit signals over long distances, exosomes, not only influence conditions to support tumor metastasis, but also activate m6A methylation through multiple cargoes and create PMN by regulating immune cells to support tumor metastasis. Overall, we would encourage consideration of TME as a dynamically changing medium as a whole in which the components may be interrelated and act in concert to collectively influence the tumor development process.

m6A methylation regulates the biological functions of tumor cells

With the substantial advances in oncology research, hypoxia, metabolism and m6A methylation have been shown to serve as regulatory factors in a variety of tumor-associated biological processes, including autophagy, apoptosis, chemotherapy resistance, and angiogenesis (Fig. 2, Table 2).

Fig. 2.

Fig. 2

Effects of m6A modifications in hypoxia and metabolic TME on tumor biological functions. The different colored lines represent the interactions of m6A modifications in tumor biological functions through the respective pathways

Table 2.

Effects of m6A methylation on tumor biological functions

Types of tumor biological behavior m6A regulators Tumor types Mechanism Effects on biological behavior of tumors References
Genomic instability ALKBH5 Lung cancer ALKBH5 improves the translation efficiency of FOXM1 mRNA by downregulating m6A methylation in FOXM1 mRNA Promotes proliferation and invasion of lung adenocarcinoma cells under hypoxia [316]
Genomic instability METTL3 Lung cancer METTL3-catalyzed m6A methylation mediates HMBOX1 gene downregulation, resulting in telomere dysfunction and inactivation of the p53 signaling pathway Promotes cancer cell proliferation [257]
Genomic instability WTAP HCC WTAP downregulation suppresses the m6A methylation level, thereby blocking the G2/M phase transition Mediates HCC occurrence [317]
Cell cycle ALKBH5 Renal cell carcinoma Hypoxia-induced HIF-1α upregulates ALKBH5 expression High ALKBH5 expression promotes tumor proliferation by increasing the percentage of cells in the G2/M phase [250]
Cell cycle METTL3 Uveal melanoma Overexpression of METTL3 promotes tumor proliferation and colony formation by regulating the G1 phase Promotes tumor proliferation [309]
Cell cycle IGF2BP1 HCC The lncRNA HCG11 regulates IGF2BP1 to affect the G1 phase of HCC through MAPK signaling Promotes tumorigenesis [245]
Cell cycle IGF2BP1 Renal cell carcinoma IGF2BP1 promotes G1/S cell cycle transition by stabilizing mRNA Enhances cell cycle progression and promotes tumor proliferation through m6A modifications [318]
Cell cycle IGF2BP1 Lung cancer IGF2BP1 silencing induces cell cycle arrest and apoptosis through downregulation of Netrin-1 Inhibits tumor progression [244]
Cell cycle IGF2BP3 Renal cell carcinoma DMDRMR binds IGF2BP3 to stabilize target genes and enhances cell cycle kinase CDK4 and G1-S phase transition Promotes tumor progression [247]
Autophagy FTO Kidney cancer FTO-mediated demethylation prevents the decay of YTHDF2-dependent Unc-51-like kinase 1 mRNA by removing the methyl group from the 3′-UTR region Promotes tumorigenesis [226]
Autophagy ALKBH5 Lung cancer ALKBH5 improves the translation efficiency of lung cancer cells by decreasing the m6A methylation level of ubiquitin-binding enzyme E2C (UBE2C) mRNA Autophagy is inhibited and accelerates migration and invasion of lung cancer cells [319]
Autophagy/apoptosis FTO Ovarian cancer FTO accelerates ovarian cancer cell proliferation by inhibiting apoptosis and activating autophagy Promotes tumor proliferation [320]
Autophagy METTL3 Seminoma Overexpression of METTL3 promotes autophagy and cisplatin resistance in tumors Supports tumorigenesis and proliferation [299]
Autophagy YTHDF1 HCC Hypoxia-mediated HIF-1α induces expression of YTHDF1, a m6A methylation reader, and promotes translation of autophagy-related genes ATG2A and ATG14 in a m6A methylation-dependent manner Accelerates HCC autophagy and malignant tumorigenesis [81]
Apoptosis FTO Colorectal cancer microRNA-96 promotes anti-apoptosis in tumor cells by regulating the AMPKα2-FTO-m6A/MYC axis Accelerates the growth and metastasis of colorectal cancer [321]
Apoptosis ALKBH5 Pancreatic cancer ALKBH5 activates PER1 through transcription in a m6A-YTHDF2-dependent manner Prevents cancer progression by promoting tumor cell apoptosis [322]
Apoptosis METTL14 Pancreatic cancer Upregulation of METTL14 mediates cisplatin resistance by activating the AMPKα/ERK1/2/mTOR pathway to reduce autophagy and apoptosis Promotes tumor progression [233]
Apoptosis METTL3 Colorectal cancer METTL3 activates the glycolytic pathway and prevents tumor cell apoptosis by stabilizing the transcriptional translation of this gene Promotes tumor proliferation [57]
Angiogenesis IGF2BP3 Colon cancer IGF2BP3 binds to mRNA of cyclin D1 (cell cycle G1/S phase checkpoint) and regulates tumor angiogenesis by reading m6A methylation in the CDS region to reduce its mRNA stability Promotes angiogenesis and metastasis in colon cancer [192]
Angiogenesis YTHDF3 Breast cancer YTHDF3 induces the translation of m6A-enriched gene transcripts Promotes breast cancer cell metastasis and invasion [201]
Angiogenesis YTHDF2 HCC YTHDF2 processes the decay of m6A-containing interleukin 11 (IL11) and serpin family E member 2 (SERPINE2) mRNAs Reduction of YTHDF2 contributes to angiogenesis and supports tumor metastasis [195]
Angiogenesis METTL3 Gastric cancer P300-mediated activation of H3K27 acetylation in the METTL3 promoter induces METTL3 transcription, which stimulates m6A methylation of HDGF mRNA Accelerates progression of gastric cancer [197]
Drug resistance METTL3 Lung cancer Regulation of MALAT1-miR-1914-3p-YAP axis Induces drug resistance and metastasis in lung cancer cells [167]
Drug resistance ALKBH5 Ovarian cancer Overexpression of the ALKBH5-HOXA10 loop activates the JAK2/STAT3 signaling pathway Induces cisplatin resistance in ovarian cancer [323]
Drug resistance METTL3 HCC m6A methylation mediates autophagy in HCC via FOXO3 Promotes HCC sorafenib resistance [202]
Drug resistance YTHDF1 Colorectal cancer YTHDF1 promotes cisplatin resistance by reprogramming GLS1-glutamine metabolism in colorectal cancer Inhibits tumor cell death [95]
EMT METTL3 Leukemia N6-methyladenosine regulates TGFβ1 expression and secretion to affect epithelial-mesenchymal transition of cancer cells Promotes tumor progression [324]
EMT METTL3 Gastric cancer METTL3 enhances the stability of ZMYM1 mRNA through m6A modification, which, in turn, promotes EMT by recruiting the CtBP/LSD1/CoREST complex to bind and mediate repression of the E-calmodulin promoter Promotes gastric cancer metastasis [325]
EMT YTHDF1/METTL3 HCC METTL3 and YTHDF1 mediate Snail mRNA translation to enhance EMT Promotes tumor metastasis [326]
EMT METTL3 Lung cancer The m6A methyltransferase METTL3 contributes to Transforming Growth Factor-beta-induced epithelial-mesenchymal transition of lung cancer cells through regulation of JUNB Promotes tumor metastasis [327]
EMT METTL3 Ovarian cancer METTL3 promotes EMT by regulating AXL translation Promotes growth and invasion of ovarian cancer [328]

CSCs

Cancer stem cells (CSCs) are a leading cause of tumor recurrence and drug resistance. Hypoxia, a prominent feature of TME, is essential for rapid tumor proliferation and maintenance of stem cell function. Notably, specific m6A regulators act synergistically with HIF-1α and HIF-2α to promote the CSCs phenotype in multiple tumor types [166, 186]. The hypoxic microenvironment enriches stemness characteristics and CSCs levels through stimulating HIF and ALKBH5 expression in tumor cells [166]. In this biological pathway, HIF-1α/2α are considered upstream regulators of ALKBH5-mediated demethylation of the target gene NANOG, based on the finding that alterations in HIF-1α/2α expression affect ALKBH5 activity. Increased proportions of breast cancer stem cells can be achieved by dual regulation of HIF-1α/2α and ALKBH5 that induces higher expression and lower degradation levels of NANOG [166]. In addition to the hypoxia-HIF-1α/2α-ALKBH5-NANOG axis, an analogous mechanism involving hypoxia-HIF-ZNF17-m6A-NANOG/KLF4 signaling has been uncovered [187]. Similarly, in endometrial cancer, HIF-1α suppression downregulates ALKBH5 protein and inhibits the tumorigenicity of CSCs by reducing its demethylation capacity [186]. Moreover, PD-L1 signaling supports immune evasion and growth of CSCs, synergistically creating a hypoxic and immunosuppressive environment that facilitates tumor proliferation and invasion [188]. For example, FTO-mediated upregulation of PD-L1 in colon cancer cells promotes immune escape [189], while inhibition of FTO sensitizes tumor cells to T-cell toxicity and overcomes hypomethylating agent-induced immune evasion [190].

m6A methylation promotes angiogenesis and tumor metastasis

Angiogenesis supplies nutrient and oxygen requirements and removes metabolic waste products [51], while invasion and metastasis are the leading causes of tumor-related death [191]. Neovascularization is an important process that provides adequate nutrients for metastatic invasion of tumors. A growing number of studies have evaluated the function of m6A methylation in tumor angiogenesis. For example, IGF2BP3 has been shown to bind vascular endothelial growth factor (VEGF) mRNA and upregulate its expression and stability through m6A methylation, thereby promoting angiogenesis in colon cancer [192]. Recent studies have focused on inducing vascular normalization in tumor cells and inhibiting malignant progression triggered by increased tumor hypoxia and dystrophy [193]. Hypoxia modulates the levels/activities of m6A regulators, in turn, altering m6A levels, thereby leading to increased target transcript expression and effects on tumor cell growth [194]. Regulation of the m6A reader YTHDF2 by hypoxia involves enhanced inflammation and angiogenesis and thus is critical for tumor invasion [195]. Overexpression of IGF2BP3 upregulates HIF-α in gastric cancer and promotes hypoxia-induced angiogenesis and tumor invasion [196]. In addition, tumor metabolism in hypoxic TME favors angiogenesis. Elevated expression of METTL3 in gastric cancer contributes to angiogenesis and liver metastasis by promoting HDGF secretion to support glycolysis [197]. Additionally, a role of m6A methylated mRNA in vascular endothelial cells (VECs) and vascular smooth muscle cells (VSMCs) of TME has been described. Knockdown of METTL3 significantly activates Notch signaling, which is associated with downregulation of heterodimeric Notch E3 ubiquitin ligase, and affects proliferation of VECs [198]. VEGF is considered the most potent and abundant specific vascular growth factor in angiogenesis that promotes metastasis [199]. METTL3-mediated m6A methylation positively regulates VEGF expression [200]. However, limited reports have comprehensively investigated the mechanisms involving m6A modifications by which hypoxia and metabolism affect vascular endothelial cells (VEC) and vascular smooth muscle cells (VSMC) and mediate tumor angiogenesis. Considering the clinical utility of anti-angiogenic therapy, targeting pro-angiogenic m6A methylation may provide an innovative avenue for treatment of solid tumors. Moreover, the specific mechanisms by which m6A methylation affects VEGF and other key genes in TME angiogenesis, such as Notch signaling, are worth further investigation.

The invasion and metastasis-promoting function of m6A methylation has been confirmed in breast cancer [201], liver cancer [202], lung cancer [165], gastric cancer [197]. However, tumor metastasis is a multistep process, designated the invasion-metastasis cascade [191, 203]. Therefore, the specific role of m6A methylation modifications at each step, from primary tumor cell development to metastasis formation, should be explored. For instance, the m6A reading protein, YTHDF3, potentiates tumorigenicity of cancer stem-like cells in ocular melanoma through facilitating translation of CTNNB1 [204]. The m6A methyltransferase METTL3 stimulates EMT in lung cancer through the miR-143-3p/VASH1 axis for metastasis and invasion [165]. Additionally, increased vascular permeability may be mediated by m6A methylation in the METTL3-YTHDF2-PKC-η/FAT4/PDGFRA signaling axis [205], which supports the possibility of transendothelial migration of tumor cells. Given the effects of hypoxia and metabolism on TME, a feasible consideration is that these factors promote metastasis in concert with m6A modifications. For instance, hypoxia in breast cancer induces HIF-1α expression and promotes the effect of PKM2 on glycolysis through upregulation of YTHDF1, triggering cancer cell growth and metastasis [206]. In fact, all known metastatic mechanisms involving CSCs [166], angiogenesis [196], EMT [207], chemoresistance [208] and autophagy [81] are associated with hypoxia and metabolism to varying degrees. However, the potential roles of m6A methylation in other metastatic processes, such as tumor cell entry and exit from dormancy, tumor-associated regulation of biological circadian rhythms, and signaling networks that promote metastatic colonization and evolution, remain to be established.

m6A methylation is associated with therapeutic resistance

Similar to infectious diseases, tumors are often resistant to multiple treatment modalities and facilitate distant metastases [209], from traditional radiotherapy and chemotherapy to current targeted therapies and immunotherapy. Moreover, development of tumor resistance to combinations of drugs has been reported, which poses a considerable challenge. For improvement of therapeutic efficacy, the mechanisms underlying treatment resistance should be comprehensively understood. Interestingly, lung cancer cells adapt to the hypoxic microenvironment and mediate cisplatin resistance through the Keap1-Nrf2-AKR1C1 signaling axis by suppressing YTHDF1 expression, meanwhile, YTHDF1 inhibition regulates the translation of CDK2, CDK4 and cytokine D1, further promoting distant tumor metastasis [31]. Conversely, YTHDF1 gene expression is reported to be significantly upregulated in colorectal cancer, thereby reducing the sensitivity of tumor cells to cisplatin [210], suggesting that YTHDF1 mediates chemoresistance through distinct expression patterns in different cancer types. However, the mechanisms underlying TME crosstalk-induced treatment resistance are multifaceted. For instance, elevated endogenous Fe2+-dependent m6A demethylase activity promotes global m6A hypomethylation and post-transcriptional regulation of downstream genes involved in glycolysis, hypoxia, and immune checkpoint pathways, ultimately leading to treatment resistance in leukemia. This treatment-resistant phenotype could be effectively reversed by combination therapy with GNRa-CSP12 (a potential immunotherapeutic agent) and tyrosine kinase inhibitors [211]. Indeed, the involvement of m6A methylation in metabolic reprogramming after drug uptake and neutralization in TME may be a major factor in the development of therapeutic resistance. Another interesting finding is that YTHDF1 can promote cisplatin resistance by reprogramming GLS1-glutamine metabolism in colorectal cancer [95]. m6A-induced ERRγ stimulates fatty acid oxidation (FAO) and mediates chemoresistance via regulation of CPT1B, the rate-limiting enzyme of FAO [212]. Additionally, upregulation of METTL3 in tumors increases adenylate kinase-4 expression to promote mitochondrial metabolism-mediated tamoxifen resistance and tumor progression [213]. Similarly, a m6A-dependent mechanism enhances PDK1 mRNA stability and mediates temozolomide chemoresistance in glioblastoma by inducing an increase in glycolysis [214]. The Warburg effect (tumor cell glycolysis) promotes release of glioma exosomes carrying circ_0072083 that upregulates NANOG expression by targeting miR-1252-5p and mediating m6A demethylation, thereby promoting temozolomide resistance [215]. Therefore, comprehensive investigation of the mechanisms underlying m6A methylation-mediated chemoresistance may provide promising strategies for tumor treatment. Future studies should additionally focus on hypoxia, metabolism, and other TME components, including exosomes.

Radio-resistance is another cause of treatment failure. Various m6A methylation enzymes, such as METTL3, FTO, and ALKBH5, clearly affect key cellular processes in tumor cells, including apoptosis, resulting in resistance to radiation therapy [216218]. Additionally, m6A methylation of the lncRNA MALAT1 is reported to induce radio-resistance/chemoresistance by impairing the apoptotic response in cervical cancer [217, 219]. Silencing of specific key m6A regulators, such as IGF2BP2/3 in lung cancer [218] and METTL3 in glioma [220], can reverse tumor radio-resistance via activation of DNA damage repair and inhibition of CSC functions. Elucidation of the molecular mechanisms underlying drug resistance in various malignancies is important to facilitate the development of individualized and precise therapeutic approaches.

m6A methylation modulates autophagy

Autophagy is a type II programmed cell death mechanism [221]. The role of autophagy in tumors is currently controversial, but the general consensus is that when tumors progress to advanced stages and face a hostile environment, autophagy acts as a dynamic degradation and recycling system that contributes to the survival of established tumors and enhances aggressiveness by promoting metastasis [222]. Under strong environmental stimuli such as hypoxia, tumor cells maintain cellular integrity and support their survival and proliferation through autophagy [223]. Therefore, activation of autophagy represents an adaptive change of tumor cells in response to hypoxia that supports tumor survival. Mounting evidence supports the theory that the autophagy-associated mechanisms underlying tumor progression are associated with m6A methylation [81]. Mechanistically, hypoxia-mediated HIF-1α induces expression of the m6A methylation reader, YTHDF1, and promotes translation of autophagy-related genes, ATG2A and ATG14, in a m6A methylation-dependent manner, resulting in autophagy and tumorigenesis of HCC [81]. Angiogenesis and chemotherapy resistance are major contributory factors to the poor efficacy of antitumor therapy, and they can be achieved through autophagy. Low expression of the m6A methyltransferase, METTL3, under hypoxia is reported to trigger downregulation of FOXO3, thereby enhancing sorafenib resistance and angiogenic gene expression in HCC through YTHDF1-mediated autophagy, ultimately leading to poor prognosis [202]. Autophagy-mediated chemoresistance of gastric and nasopharyngeal carcinomas is similarly regulated by the mTORC signaling axis mediated by the m6A demethylase FTO and the β-catenin/ABCC9 signaling axis activated by m6A methylation on TRIM11 [224, 225]. In addition, multiple metabolic pathways (including lipid metabolism and glycolysis) are associated with autophagy-mediated tumor progression. FTO regulates obesity and adipogenesis through autophagy and provides energy for tumor survival through lipid metabolism. Mechanistically, FTO-mediated demethylation prevents YTHDF2-dependent decay of Unc-51-like kinase-1 (U51LK1) mRNA by removing methyl groups from the 3′-UTR region, thereby driving autophagy to promote tumorigenesis [226]. Hence, reduction of adipose accumulation through anti-autophagy pathways activated under conditions of FTO deficiency presents a critical strategy to prevent the harmful effects of increasing obesity [227]. Other m6A methylation regulators are additionally involved in modulation of autophagy. For example, knockdown of the lncRNA LINRIS in colorectal cancer blocks K139 ubiquitination of IGF2BP2 (a m6A reader), preventing its degradation by the autophagic lysosomal pathway and ultimately, attenuating the downstream pathways of IGF2BP2, such as MYC-mediated glycolysis in tumor cells [228]. These findings highlight critical interactions between autophagy and m6A methylation regulators, further confirming the biological significance of m6A methylation in hypoxia and metabolic programming in TME. However, the impact of m6A methylation regulators on the transcription and translation of autophagy-related genes through complex associations in TME and autophagy-related mechanisms involved in distant tumor metastasis (including angiogenesis, radio-resistance, tumor cell cycle, and EMT) remain poorly understood.

m6A methylation is involved in apoptosis

Apoptosis is an orderly and coordinated cellular process that occurs under both physiological and pathological conditions. Deficiency of apoptosis induces persistent proliferation of tumor cells, which is one of the main reasons underlying poor prognosis [229, 230]. Clarification of the mechanisms associated with apoptosis may therefore provide useful information for targeted tumor therapy. Recent studies suggest that m6A methylation is closely associated with apoptosis [2]. As described by Chen et al. [231], m6A methylation regulates apoptosis through multiple mechanisms including modulation of apoptosis-related genes, silencing of genes encoding methylated or demethylated enzymes, and reduction of reading proteins-mediated transcripts. Hypoxia-mediated autophagy is involved in m6A modification-mediated regulation of apoptosis. Mechanistically, transcription factor EB (TREB, a major regulator of lysosomal biogenesis and autophagy genes) enhances the autophagic flux in hypoxic cardiomyocytes to inhibit apoptosis via induction of ALKBH5 and inhibition of METTL3 expression [232]. Furthermore, upregulation of METTL14 mediates cisplatin resistance through activating the AMPKα/ERK1/2/mTOR pathway to reduce autophagy and apoptosis, resulting in accelerated tumor proliferation and metastasis [233]. Tumor proliferation induced by apoptosis inhibition is, in fact, a multifactor-mediated biological behavior that incorporates EMT in addition to autophagy. Hypoxia favors tumor progression by interfering with the levels of m6A, leading to uncontrolled expression/activity of related genes. Specifically, the hypoxic environment promotes upregulation of METTL14/ALKBH5 [166, 234] and subsequently modulates m6A levels of EMT and angiogenesis-related transcripts (including genes involved in transforming growth factor-β signaling), leading to inappropriate cell cycle progression and tumor evasion of apoptosis [194]. Altered cellular metabolism is an adaptive adjustment mechanism by tumors in response to malignant stimuli such as hypoxia. METTL3 interacts directly with the 5′/3′UTR region of HK2 and the 3′UTR region of GLUT1 to activate the glycolytic pathway and prevents tumor apoptosis by stabilizing the transcriptional translation of these two genes [57]. In addition, a novel RNA-binding protein, RALY, systematically downregulates metabolism-related genes (ATP5I, ATP5G1, ATP5G3 and CYC1) through METTL3-mediated m6A methylation to promote post-transcriptional processing of specific miRNA subsets (miR-483, miR-676, and miR-877), thereby reprogramming mitochondrial metabolism in cancer cells to inhibit apoptosis and promote metastasis [235].

Tumor heterogeneity poses a considerable challenge in the delivery of effective tumor-targeted therapy. Targeting of m6A methylation regulators to induce apoptosis is proposed to provide a feasible therapeutic option [236]. For example, R-2-hydroxyglutaric acid (R-2HG) stimulates overall m6A methylation modifications of RNA in R-2HG-sensitive leukemia cells by inhibiting FTO activity, which, in turn, reduces the stability of MYC/CEBPA transcripts, thereby suppressing leukemia cell proliferation/viability and promoting cell cycle arrest (G2/M) and apoptosis [237]. Alterations in m6A RNA modifications can further modulate downstream adaptive responses, such as key regulators of apoptosis, autophagy, pro-survival and oncogenic pathways, CSCs and TME [238]. Thus, apoptotic evasion of tumor cells is the result of multiple factors and future precision tumor therapy needs to consider the associations among biological behaviors in malignant TME, including hypoxia and metabolism. m6A modifications are additionally reported to be involved in other cell death types, including necroptosis, ferroptosis, and pyroptosis, but their potential crosstalk with malignant TME has not been established [10]. Moreover, the relationship between more recently identified modes of cell death (cuproptosis and immunogenic cell death) and m6A methylation in tumor progression is worth further investigation [239, 240].

m6A methylation regulates the cell cycle

Cell division is composed of G1 → S → G2 → M stages (designated the 'cell cycle') and its dysregulation is closely related to tumorigenesis. For example, dysregulation of the G1 phase suppresses DNA damage repair and promotes retinoblastoma progression [241]. m6A methylation has been shown to promote tumor proliferation through effects on the cell cycle [242]. An earlier study reported that IGF2BP3 increases the percentage of cells in the S phase and promotes proliferation of colorectal cancer cells through regulation of cyclin D1 expression [192]. Notably, the IGF2BP family modulates tumor progression in an m6A-dependent manner by affecting the cell cycle to varying degrees in multiple tumor types, including bladder cancer [243], lung cancer [244], HCC [245], endometrial cancer [246], and kidney cancer [247]. FTO-mediated m6A methylation of PKM2 promotes HCC progression by accelerating the generation of translation products and conversely, FTO knockdown induces G0/G1 phase blockage and inhibits tumor proliferation and growth in vivo [248]. Importantly, hypoxia-induced regulation of downstream biological behavior (e.g., the cell cycle) can be achieved through effects on reprogramming of the m6A-modified episodic transcriptome [249]. In renal cell carcinoma, hypoxia-induced HIF-1α enhances ALKBH5 expression, which, in turn, promotes tumor proliferation through increasing the percentage of cells in the G2/M phase [250]. Similarly, loss of YTHDF3 or IGF2BP2 in hypoxia induces a significant decrease in the percentage of cells in the G1 phase and significant increase in G2 phase cells, thereby promoting cell cycle progression and impeding apoptosis [251]. The collective findings suggest that hypoxia-mediated m6A modifications allow tumor cells to avoid apoptosis and continue to proliferate and induce distant metastasis through effects on the cell cycle. However, the issue of whether other biological behaviors (e.g., autophagy and glycolysis) are involved in regulation of the tumor cell cycle through m6A modifications is yet to be established.

Genomic instability

Genomic instability (GI), which refers to the increased frequency of genomic alterations acquired by cells, is one of the most prevalent features of tumor cells and often associated with poor prognosis [252, 253]. Tumor cells with altered genomes (e.g., loss of apoptotic potential) are allowed to survive under hypoxic conditions that exacerbate tumor hypoxia, while persistent hypoxia increases genomic instability and heterogeneity and triggers environmental changes to support tumor cell proliferation [254]. RNA m6A methylation has recently been shown to regulate tumor progression through effects on GI [255]. Yin et al. [256] reported that multiple m6A regulators (METTL3, WTAP, YTHDF1/2/3) are associated with GI and mediate poor prognosis in HCC. Interestingly, METTL3-catalyzed m6A methylation is reported to mediate downregulation of the HMBOX1 gene, resulting in telomere dysfunction and inactivation of p53 signaling, thereby affecting telomere homeostasis and genome stability and promoting tumorigenesis [257]. Based on these findings, we propose that m6A methylation facilitates tumor growth through regulation of genomic stability. However, the issue of whether hypoxia or metabolism plays a role in this process and the underlying mechanisms are yet to be determined. Earlier studies support the involvement of m6A methylation in maintenance of genomic stability. For instance, METTL3-catalyzed m6A RNA methylation not only suppresses chromosomal translocation by driving RNA exosome recognition and 3′ end processing of SμGLT but also inhibits IgH-associated aberrant DNA breakage and prevents genomic instability [258]. The variable functions may be attributed to differences in tumor or cell type. However, m6A methylation in TME appears to primarily mediate the onset of GI. Theoretically, the maintenance of genomic stability is essential for efficient operation of the cell cycle. To our knowledge, few studies to date have focused on the mechanisms by which m6A modifications interfere with genomic stability and regulate tumor progression through the cell cycle.

Extracellular matrix

Extracellular matrix (ECM) consists of basement membrane and intercellular stroma, which is an important tissue barrier for tumor metastasis. The tumor cells activate or secrete protein-degrading enzymes to degrade the matrix through adhesion of their surface receptors to various components in the ECM, thus forming a local lysis zone that constitutes a tumor cell metastasis runway. To some extent, m6A methylation is involved in the degradation of ECM and affects the progression of osteoarthritis [259], renal fibrosis [260], and tumors [261]. For instance, METTL3 involves the progression of osteoarthritis probably by affecting ECM degradation and regulating the inflammatory response [259]; the m6A methylation regulates endometrial carcinogenesis by targeting genes associated with ECM [261]. Indeed, m6A methylation is involved in cellular senescence and apoptosis through the regulation of ECM [262264]. However, these studies have been focused more on non-tumor diseases, so there is a need to further investigate whether and how m6A methylation and ECM affect tumor development (e.g., senescence, apoptosis, and metabolism).

Importantly, hypoxia and metabolic programming jointly create a malignant immunosuppressive TME that supports multiple aspects of tumor development. Subsequently, tumor biological behaviors act synergistically to support disease progression in an m6A methylation-dependent manner. For example, hypoxia and glycolysis involved in m6A-dependent autophagy contribute to chemoresistance and inhibition of apoptosis and promote distant tumor metastasis. Persistent proliferation exacerbates hypoxia and mediates autophagy to promote further malignant growth. Tumor angiogenesis can also support chemoresistance and EMT formation as well as apoptosis inhibition. Indeed, some of the lesser reported m6A "readers" may also support tumor progression, high expression of YTHDC2 may increase mutation frequency in favor of tumorigenesis and portend a poor prognosis for patients with soft tissue sarcoma [265].

Potential clinical applications of m6A methylation

Accumulating research has elucidated the mechanisms of m6A methylation in epigenetic regulation in tumorigenesis, providing valuable insights into the diagnostic and therapeutic applications (Table 3) of this modification.

Table 3.

Tumor-targeted drug therapy based on m6A methylation

Drug name Targeting Tumor Functions References
Curcumin ALKHB5 NA Curcumin reduces ALKHB5 (m6A demethylase) expression in a m6A methylation-dependent manner to inhibit adipogenesis [329]
Quercetin METTL3 Cervical cancer Quercetin acts synergistically with cisplatin to inhibit migration and invasion of cervical cancer cells by suppressing expression of METTL3 [330]
Baicalin FTO/ALKBH5 Nasopharyngeal carcinoma Baicalein affects genomic stability to inhibit tumor growth by mediating increase in METTL3 and METTL14 and decreases in FTO and ALKBH5 [331]
Saikosaponin FTO Myelomonocytic leukemia Saikosaponin sensitizes myelomonocytic leukemia cells to tyrosine kinase inhibitors by suppressing FTO to rescue m6A hypermethylation in MYC and RARA [332]
Simvastatin METTL3 Lung cancer Simvastatin mediates METTL3 downregulation and affects epithelial mesenchymal transition through m6A methylation of EZH2 mRNA, thereby inhibiting malignant progression of lung cancer [333]
DAC51 FTO Melanoma Dac51 blocks FTO-mediated regulation of glycolytic metabolism and prevents tumor immune evasion by inhibiting FTO activity [129]
Meclofenamic acid FTO Cervical cancer Selective inhibition of FTO demethylation of ALKBH5 via m6A methylation [276]
Alk-04 ALKBH5 Melanoma Inhibition of ALKBH5 to regulate Mct4/Slc16a3 expression and lactate content in TME and the composition of tumor-infiltrating Treg and MDSCs [157]
miR-4429 METTL3 Gastric cancer miR-4429 prevents gastric cancer progression by targeting METTL3 to inhibit m6A methylation-induced stabilization of SEC62 [281]
miR-186 METTL3 HCC miR-186 targets METTL3 and inhibits value-added invasion of HCC through the Wnt/β-catenin signaling pathway [282]
Cisplatin METTL3 Seminoma Enhanced stability of TFAP2C mRNA may promote survival of cisplatin-loaded spermatocytoma cells through upregulation of DNA repair-related genes [334]
Oxaliplatin METTL3 Colorectal cancer Depletion of Sec62 sensitizes tumor cells to chemotherapeutic agents by inhibiting Wnt/β-catenin signaling [335]
Everolimus METTL3 Gastric cancer Inhibition of AKT/mTOR pathway to enhance drug sensitivity in tumor cells [336]
Anti‑PD‑1 METTL3 Melanoma Inhibition of NF-κB and STAT3 via suppressing the ERK pathway, thereby slowing tumor growth [150]
STM2457 METTL3 Leukemia STM2457 inhibits growth and differentiation and increases apoptosis of cancer cells by targeting METTL3 [337]
Imidazobenzoxazin-5-thione MV1035 ALKBH5 Glioblastoma MV1035 reduces tumor migration and invasion by inhibiting ALKBH5 [338]
CS1/CS2 FTO Leukemia Inhibits expression of immune checkpoint genes (in particular, LILRB4) and significantly attenuates leukemic stem cell/initiating cell self-renewal and reprogramming immune responses through targeting FTO [190]
Tyrosine kinase inhibitors FTO Leukemia FTO-dependent m6A demethylation enhances mRNA stability of proliferation/survival transcripts containing m6A, leading to increased protein synthesis [339]
Triptonide IGF2BP1 Nasopharyngeal carcinoma Inhibits tumor growth by disrupting the lncRNA THOR-IGF2BP1 signaling pathway [340]
Berberine IGF2BP3 Colorectal cancer Blocks tumor proliferation by downregulating IGF2BP3, inducing a G0/G1 phase block [341]
JQ1 IGF2BP3 Ewing sarcoma Inhibits tumor growth by reducing IGF2BP3 expression [342]
BTYNB IGF2BP1 Melanoma Suppresses IGF2BP1 protein expression and retards ovarian cancer growth by impairing interactions between IGF2BP1 and c-MYC or E2F1 mRNA [273]
Benzamidobenzoic acid/ureidothiophene IGF2BP2 Colorectal/HCC Delays tumor progression through targeted inhibition of IGF2BP2 [343]
Chidamide METTL3/WTAP Lung cancer Downregulates c-MET expression by suppressing its mRNA m6A methylation, leading to a subsequent c-MET-/HGF-dependent increase in crizotinib sensitivity of tumor cells [344]

Potential of m6A methylation in tumor diagnosis and prognosis

Effective biomarkers and assays with high sensitivity and specificity should greatly improve the efficiency of early tumor diagnosis. m6A methylation and its regulators are emerging biomarkers for tumor diagnosis and prognosis [266, 267]. Due to their metabolic reversibility, high abundance and stability, methylated nucleosides can be obtained in biological fluids or circulating cells [268, 269]. Huang et al. [268] showed elevated levels of m6A methylated RNA in circulating tumor cells from lung cancer patients using liquid chromatography-electrospray ionization tandem mass spectrometry (LC–ESI–MS/MS). Similarly, Pei and co-workers [270] reported elevated m6A methylation in peripheral blood leukocytes of lung cancer patients via flow cytometry, further supporting the potential of this modification as a biomarker. Multiple m6A methylation regulators have been shown to be associated with prognosis of different tumor types, including METTL3, WTAP, IGF2BP, FTO, and YTHDF [271]. Tumor prognosis is affected not only by gene expression but also the combined characteristics of multiple m6A methylation regulators. Although m6A methylation and its regulators show strong potential as biomarkers, their clinical application remains a considerable challenge due to the heterogeneity of m6A methylation in patients and lack of effective assays to detect site-specific m6A methylation from low-input clinical samples. In the future, single-cell sequencing technologies and spatial transcriptomic analyses may help to address these issues.

Therapeutic potential of targeted m6A methylation modulators

Abnormal reduction or increase in specific m6A methylation regulators frequently cause dysregulation of overall levels of m6A methylation, thus affecting tumorigenesis, progression, and treatment. Currently, m6A methylation inhibitors are the most commonly used modality of targeted therapy, with reported positive antitumor effects. Indeed, inhibition of specific m6A regulators, such as METTL3 [104] and YTHDF1 [272], prevents glycolysis-mediated glucose uptake and lactate production, which offers promise for clinically targeted combination therapy. To date, a number of small-molecule inhibitors based on m6A modifications have been developed. For instance, BTYNB, a selective inhibitor of IGF2BP1, reduces IGF2BP1 protein expression and retards ovarian cancer growth by impairing interactions between IGF2BP1 and c-MYC or E2F1 mRNA [273]. Another specific inhibitor of ALKBH5, ALK-04, reduces Treg cell and MDSC infiltration and enhances the efficacy of anti-PD-1 therapy against tumor growth [157]. Targeted suppression of FTO with small-molecule inhibitors CS1 and CS2 can inhibit tumor proliferation through several pathways, including blockage of immune checkpoints (LILRB4) to suppress CSCs, induction of tumor cell cycle arrest (G0 phase), and suppression of immune escape through increasing tumor sensitivity to T cells, confirming the holistic nature of TME [190]. Given that silencing of a number of m6A regulators contributes to tumor proliferation and metastasis, upregulation of these molecules with the aid of specific agonists may present an effective option for m6A tumor-targeted therapy (e.g., certain ligands can act as activators of the METTL3-14-WTAP complex [274]). However, relatively few studies have been conducted in this area.

In addition to small-molecule inhibitors, a non-steroidal anti-inflammatory drug, maclofenamic acid (MA), specifically inhibits FTO demethylase activity and increases m6A methylation levels of mRNA. MA has been shown to effectively inhibit the growth and survival of glioblastoma stem cells and enhance the efficacy of the chemotherapeutic agent temozolomide [275, 276]. Other inhibitor compounds with similar antitumor effects have been identified. For example, 3-deazaadenosine inhibits METTL3/METTL14 [277], CA4 (carbonic anhydrase member) induces WTAP degradation and suppresses colorectal cancer proliferation [278], and R-2-hydroxyglutarate (R-2HG) delays leukemia progression via inhibition of FTO [237]. Moreover, METTL3-mediated autophagy-induced resistance to gefitinib could be reversed by β-elemene in lung cancer [279]. Although a variety of m6A modulator inhibitors hold promise for improving oncologic outcomes in clinical practice, limited relevant data are currently available, highlighting the urgent need for further clinical trials and development of effective strategies targeting further m6A methylation modulators.

Additionally, miRNAs are also feasible as inhibitors of m6A regulators, are non-coding RNA molecules with potent gene regulation properties shown to bind to target mRNAs, leading to inhibition of translation or degradation [280]. Notably, multiple miRNAs directly targeting m6A methyltransferases in tumors have been identified. In gastric cancer, miR-4429 acts as a tumor suppressor by targeting METTL3 to inhibit m6A methylation-induced stabilization of SEC62 and reduce tumor growth [281]. Interestingly, miR-186 and miR-600 appear to similarly target METTL3 and inhibit the progression of hepatoblastoma and lung cancer [282284]. supporting the significant potential of miRNAs in m6A methylation-based targeted tumor therapy. However, the finding that specific miRNAs can target multiple genes complicates the development of selective miRNA-directed therapies. To identify efficacious therapeutic candidates, a clear picture of the miRNA targetome with information on the definitive number of oncogenes or tumor suppressors targeted by individual miRNAs is essential.

Potential of m6A methylation in combination therapy

Targeted silencing or activation of m6A regulators can retard tumor proliferation. Radio- and chemoresistance are important factors in tumor recurrence. Therefore, combinations of m6A methylation inhibitors that block tumor growth and reverse radio- and chemoresistance may achieve better efficacy. In support of this theory, silencing of IGF2BP2/3, FTO, and METTL3 with specific inhibitors has been shown to suppress proliferation and reverse radio- and chemoresistance in multiple tumor types, including lung, cervical and pancreatic cancer, and glioma) [217, 218, 220, 275, 285], with ultimate improvement of treatment outcomes.

Tremendous progress in cancer immunotherapy has been made over the last decade. The most widely used immunotherapeutic agents at present are antibodies targeting immunosuppressive receptors such as CTLA-4, PD-1 and PD-L1 [286]. PD-1 is reported to downregulate the immune system response and promote immune tolerance by suppressing T-cell activity. Elucidation of the molecular mechanisms of various immunosuppressive TME is critical for the development of individualized and precise m6A methylation-mediated therapeutic approaches. Specific m6A modulators in anti-PD-1/L1 therapy have shown promise in eradication of malignant tumors [287]. Interestingly, in colorectal cancer and melanoma, enhanced anti-PD-1 efficacy could be achieved by depletion of METTL3 and METTL14, potentially via increased CD8+ T-cell infiltration and tumor killing function [288]. Moreover, knockdown of FTO led to increased PD-1 expression, thereby reversing melanoma resistance to anti-PD-1 therapy in preclinical trials [289]. Higher CD8+ T cell numbers reported in YTHDF1-deficient mice in TME are associated with prediction of improved PD-L1 checkpoint blockade outcomes [123]. These findings validate the ability of m6A modulators to modify the immune response against PD-1/L1 therapy. In fact, combining PD-L1 checkpoint blockade with YTHDF1 depletion enhances CD8+ T cell function and consequently slows tumor progression [123], providing a reference for the development of strategies utilizing m6A inhibitors in conjunction with PD-L1 therapy. Similarly, targeted inhibition of FTO and METTL3/14 combined with anti-PD-1 based immune checkpoint blockade therapy has been used for leukemia and colorectal cancer [190, 288]. The clinical value of integrated therapy based on immune checkpoint blockade with other m6A inhibitors is of considerable research interest. Combined inhibition of demethylase-FTO and immune checkpoint gene (LILRB4) has been shown to significantly attenuate leukemic stem cell/initiating cell self-renewal and reprogramming of immune responses [190].

Notably, hypoxia and metabolism are extensively involved in the complex crosstalk of TME through m6A methylation and promote tumor progression via multiple pathways. Therefore, multifaceted combination therapy should be considered. Accumulating evidence has revealed that HIF-1α and HIF-2α inhibitors block tumor growth through multiple mechanisms [290, 291]. For example, LAQ824 promotes polyubiquitination of HIF-1α through an unknown pathway, leading to inhibition of its function [292]. HIF-2α inhibitors, such as PT2385 and Vorinostat, suppress the HIF pathway by interfering with epigenetic mechanisms to achieve inhibition of soft tissue sarcoma and neuroblastoma, respectively [293, 294]. Combined inhibition of IGF2BP3 and HIF-1α is reported to further prevent tumor angiogenesis and metastasis [196]. Metabolic reprogramming in TME provides nutrition for tumor survival and proliferation. Therefore, targeting metabolic pathways associated with tumor proliferation and metastasis, such as glycolysis, mitochondrial metabolism, glutamate metabolism and autophagy, could provide an effective strategy for the development of novel drug discovery programs. For instance, an antitumor effect of BPTES, an inhibitor of glutaminase activity, has been reported [295]. Mitochondrial metabolism is critical for tumor growth. Metformin, an antidiabetic drug, has been shown to act as a key target pathway for cancer therapy through mitochondria-mediated metabolic pathways [296]. In this context, the drug biguanide phenformin, an inhibitor of mitochondrial complex I, displays anticancer activity [297]. Given the holistic nature of TME, combining these strategies with m6A methylation-targeted therapy may be a future research direction for the development of effective antitumor agents. For instance, METTL3 silencing can be synergistically implemented with the glycolysis inhibitor 2-deoxyglucose (2-DG) to block HCC growth [298] and combined inhibition of METTL3 and autophagy increases the sensitivity of spermatocytoma to cisplatin [299]. Additionally, co-inhibition of YTHDF2, ATF4-induced autophagy, and glutamine provides a novel strategy for targeted therapy in colorectal cancer [300].

Conclusions and future perspectives

Hypoxia is commonly associated with tumor cell proliferation. To survive in such a hostile microenvironment, tumor cells utilize various strategies, such as regulating metabolic reprogramming and altering immune cell functions, thereby generating an immunosuppressive TME that supports their growth. Since the regulatory mechanisms of m6A methylation and immunosuppressive TME are not completely understood at present, we were unable to establish a perfect framework to understand the mutual crosstalk. However, a number of conclusions could be drawn based on the available data (Fig. 3): Tumor proliferation causes hypoxia in TME and hypoxia-mediated m6A methylation not only accelerates metabolite production by regulating metabolic reprogramming but also supports malignant progression by altering immune cell functions and phenotypes in the TME to promote immunosuppressive properties. In addition, these immunosuppressive signals are mediated by Tu-Exo for transfer to distant sites and generate an immunosuppressive TME by suppressing normal immune function to create conditions suitable for tumor cell metastasis and invasion. Hypoxia and metabolic reprogramming regulate multiple tumor biological behaviors in an m6A methylation-dependent manner. Tumor cells further support proliferation and metastasis through crosstalk among various mechanisms such as autophagy, inhibition of apoptosis, angiogenesis, and chemoresistance, generating a positive feedback cycle that results in poor prognosis. m6A methylation is extensively involved in the dynamic evolution of TME (hypoxia, metabolic dysregulation, functional transformation of immune cells, autophagy, angiogenesis, treatment resistance) and exacerbates the immunosuppressive properties of TME, providing potent conditions for adaptive changes and metastatic invasion of tumors. Furthermore, m6A methylation serves as an ideal marker for tumor surveillance, providing useful clinical information for tumor diagnosis and prediction that could be implemented in alteration of treatment regimens for optimal outcomes. Importantly, combination of strategies to remove and target m6A methylation, immunosuppressive TME-related approaches (e.g., targeting immune cells), and metabolic and hypoxia-based targeted therapies may provide novel and innovative avenues for clinical tumor therapy.

Fig. 3.

Fig. 3

m6A methylation promotes immunosuppressive TME properties and supports tumor proliferation through pathways involving hypoxia, metabolic dysregulation, tumor exosomes and immune cells. HIF influences tumor cells under hypoxic conditions through m6A methylation modifications. Tumor cells in hypoxia accelerate the release of exosomes, contributing to the formation of immunosuppressive TME. m6A-mediated metabolic dysregulation generates an acidic environment that further supports tumor growth and exacerbates tumor hypoxia. A number of metabolites support immunosuppressive characteristics. In hypoxic conditions, tumors undergo metabolic reprogramming mediated by a HIF-induced positive feedback loop to further exacerbate metabolic dysregulation. Additionally, m6A methylation directly regulates immune cells to promote the progressive establishment of immunosuppressive TME

While targeted inhibitors based on m6A methylation regulators are relatively traditional therapeutic agents, their application is limited by low inhibition efficiency. Benefiting from the development of gene editing technology, m6A methylation-based therapies have been proposed to add or remove m6A methylation sites in specific genes. A novel tool, designated RCas9-FTO, facilitates sequence-specific demethylation of m6A in RNA via fusion of FTO with RCas9 [301]. This tool employs single guide RNA (sgRNA) to target RNA and PAMmer for enhancing their interactions, along with fusion with FTO to demethylate specific m6A sites. Another programmable in vivo manipulation tool, CRISPR-Cas13b-ALKBH5, has been utilized for targeted demethylation of specific mRNAs [302]. These tools do not require genomic alteration and are physiologically degradable but mRNA instability is a major challenge in the development of mRNA drugs. Regulation of structural elements involved in mRNA translation and metabolism via modification may present an effective strategy to address this problem.

Therapies based on suppression and targeting of TME immunosuppressive activity have gained significant attention in recent years. Currently, cancer immunotherapy is mainly based on immune checkpoint blockade technology, antibody/oncoprotein technology, CAR T cells, and small molecules. However, these approaches have a number of drawbacks, such as individualized differences and tumor heterogeneity, leading to non-response in some patients. Therefore, RNA-mediated immunotherapy may be an alternative option for tumor treatment [303]. Recently, Yeo and co-workers used CRISPR-Cas9 screening to identify 57 RNA-binding protein candidates with critical roles in promoting MYC-driven oncogenic pathways. Their study revealed an important function of YTHDF2 protein in global transcriptional regulation of MYC-driven breast cancer, highlighting the therapeutic applicability of RNA-binding proteins [304]. However, owing to complex tumor cell signaling mechanisms and immune cell phenotype shifts, no real breakthroughs have been made in this area. With the development of single-cell RNA sequencing and spatial transcriptome analysis, differences between tumor cell subpopulations should be identified, offering the possibility of addressing the temporal-spatial structure of tumor and immune cells (bearing in mind that spatial proximity between tumor and immune cells does not necessarily mean that actual communication is taking place). Furthermore, examination of how different cell subpopulations accomplish complex intercommunication and coordination in time and space may contribute to our understanding of the dynamics of TME.

Potential applications of exosomes as antitumor drug carriers are comprehensively discussed in a previous study by our group, which show utility as specific drug carriers for tumor-targeted therapy owing to low immunogenicity and biocompatibility [14, 305]. However, specific conditions of TME (such as hypoxia or metabolism) may affect the morphology or heterogeneity of exosomes and Tu-Exo may exert tumorigenic effects [306]. Therefore, studies on changes in exosome properties in TME (including how Tu-Exos are involved in metabolic reprogramming to influence tumor progression) and avoidance of Tu-Exo-mediated tumor proliferation are essential to facilitate their successful clinical application.

In summary, further in-depth exploration of the complex links and mechanisms between m6A methylation (including the implications of hypoxia and metabolic reprogramming-mediated crosstalk in immune cell function and tumor biological behavior) in TME should accelerate the clinical development of m6A methylation-based tumor immunotherapy. In view of the complex crosstalk within TME components, multifaceted combination therapies targeting m6A, hypoxia, metabolism, and the immune system should be considered.

Acknowledgements

Not applicable.

Abbreviations

2-DG

2-Deoxyglucose

2-HG

2-Hydroxyglutarate

APCs

Antigen-presenting cells

BM-MSCs

Bone marrow-MSCs

CAFs

Cancer-associated fibroblasts

CCR7

CC-chemokine receptor-7

CSCs

Cancer stem cells

DCs

Dendritic cells

ECM

Extracellular matrix

EMT

Epithelial-mesenchymal transition

EVs

Extracellular vesicles

FABP5

Fatty acid binding protein-5

FTO

Fat mass and obesity-associated protein

GI

Genomic instability

HBXIP

Hepatitis B virus X-interacting protein

HCC

Hepatocellular carcinoma

HIF

Hypoxia-inducible factors

HNSCC

Head and neck squamous cell carcinoma

IDH

Isocitrate dehydrogenase

MA

Maclofenamic acid

MDSCs

Myeloid-derived suppressor cells

MIF

Migration inhibitory factor

mRNA

Messenger RNA

MSCs

Mesenchymal stem cells

MTHFD2

Methylenetetrahydrofolate dehydrogenase-2

NK

Natural killer

OS

Oxidative stress

PKM2

Pyruvate-kinase-2

PMN

Pre-metastatic ecological niches

R-2HG

R-2-hydroxyglutaric acid

RBM4

RNA-binding motif-4

RBPs

RNA-binding proteins

sgRNA

Single guide RNA

TAMs

Tumor-associated macrophages

TA-MSCs

Tumor-associated mesenchymal stem cells

TCA

Tricarboxylic acid

TME

Tumor microenvironment

Treg

Regulatory T cell

Tu-Exo

Tumor-derived exosomes

U51LK1

Unc-51-like kinase-1

VECs

Vascular endothelial cells

VHL

Von Hippel–Lindau

VSMCs

Vascular smooth muscle cells

WTAP

Wilms tumor 1-associated protein

Author contributions

FZ and HL drafted this review and designed the figures; MD and GW collected the related references and gave some valuable suggestions; XJ and ZY provided the design and revision of the manuscript; XJ, ZY and HL obtain funding supports. All authors made substantial, direct and intellectual contribution to the review. All authors read and approved the final manuscript.

Funding

This study was supported by grants from the National Natural Science Foundation of China (Nos. 82173194, 81672877), the Key research project of Liaoning Provincial Department of Education of China (ZD2020004) and 2018 Youth Backbone Support Program of China Medical University (QGZ2018063).

Availability of data and materials

Not applicable.

Declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

The authors have consented to publish this article.

Competing interests

The authors declare that they have no competing interests.

Footnotes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Fusheng Zhang and Haiyang Liu contributed equally to this work

Contributor Information

Zhi Yang, Email: yangzhi0910@163.com.

Xiaofeng Jiang, Email: 18900912171@163.com.

References

  • 1.Wang T, Kong S, Tao M, Ju S. The potential role of RNA N6-methyladenosine in cancer progression. Mol Cancer. 2020;19:88. doi: 10.1186/s12943-020-01204-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Dominissini D, Moshitch-Moshkovitz S, Schwartz S, Salmon-Divon M, Ungar L, Osenberg S, Cesarkas K, Jacob-Hirsch J, Amariglio N, Kupiec M, et al. Topology of the human and mouse m6A RNA methylomes revealed by m6A-seq. Nature. 2012;485:201–206. doi: 10.1038/nature11112. [DOI] [PubMed] [Google Scholar]
  • 3.Ping XL, Sun BF, Wang L, Xiao W, Yang X, Wang WJ, Adhikari S, Shi Y, Lv Y, Chen YS, et al. Mammalian WTAP is a regulatory subunit of the RNA N6-methyladenosine methyltransferase. Cell Res. 2014;24:177–189. doi: 10.1038/cr.2014.3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Wang P, Doxtader KA, Nam Y. Structural basis for cooperative function of Mettl3 and Mettl14 methyltransferases. Mol Cell. 2016;63:306–317. doi: 10.1016/j.molcel.2016.05.041. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Xiao W, Adhikari S, Dahal U, Chen YS, Hao YJ, Sun BF, Sun HY, Li A, Ping XL, Lai WY, et al. Nuclear m(6)A reader YTHDC1 regulates mRNA splicing. Mol Cell. 2016;61:507–519. doi: 10.1016/j.molcel.2016.01.012. [DOI] [PubMed] [Google Scholar]
  • 6.Wojtas MN, Pandey RR, Mendel M, Homolka D, Sachidanandam R, Pillai RS. Regulation of m(6)A transcripts by the 3′→5′ RNA helicase YTHDC2 is essential for a successful meiotic program in the mammalian germline. Mol Cell. 2017;68:374–387. doi: 10.1016/j.molcel.2017.09.021. [DOI] [PubMed] [Google Scholar]
  • 7.Liu N, Dai Q, Zheng G, He C, Parisien M, Pan T. N(6)-methyladenosine-dependent RNA structural switches regulate RNA-protein interactions. Nature. 2015;518:560–564. doi: 10.1038/nature14234. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Shi H, Wei J, He C. Where, when, and how: context-dependent functions of RNA methylation writers, readers, and erasers. Mol Cell. 2019;74:640–650. doi: 10.1016/j.molcel.2019.04.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Yen YP, Chen JA. The m(6)A epitranscriptome on neural development and degeneration. J Biomed Sci. 2021;28:40. doi: 10.1186/s12929-021-00734-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Liu L, Li H, Hu D, Wang Y, Shao W, Zhong J, Yang S, Liu J, Zhang J. Insights into N6-methyladenosine and programmed cell death in cancer. Mol Cancer. 2022;21:32. doi: 10.1186/s12943-022-01508-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Su R, Dong L, Li Y, Gao M, He PC, Liu W, Wei J, Zhao Z, Gao L, Han L, et al. METTL16 exerts an m(6)A-independent function to facilitate translation and tumorigenesis. Nat Cell Biol. 2022;24:205–216. doi: 10.1038/s41556-021-00835-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Yang Z, Jiang X, Li D, Jiang X. HBXIP promotes gastric cancer via METTL3-mediated MYC mRNA m6A modification. Aging (Albany NY) 2020;12:24967–24982. doi: 10.18632/aging.103767. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Yang Z, Jiang X, Zhang Z, Zhao Z, Xing W, Liu Y, Jiang X, Zhao H. HDAC3-dependent transcriptional repression of FOXA2 regulates FTO/m6A/MYC signaling to contribute to the development of gastric cancer. Cancer Gene Ther. 2021;28:141–155. doi: 10.1038/s41417-020-0193-8. [DOI] [PubMed] [Google Scholar]
  • 14.Zhang F, Guo J, Zhang Z, Qian Y, Wang G, Duan M, Zhao H, Yang Z, Jiang X. Mesenchymal stem cell-derived exosome: a tumor regulator and carrier for targeted tumor therapy. Cancer Lett. 2021;526:29–40. doi: 10.1016/j.canlet.2021.11.015. [DOI] [PubMed] [Google Scholar]
  • 15.Bejarano L, Jordāo MJC, Joyce JA. Therapeutic targeting of the tumor microenvironment. Cancer Discov. 2021;11:933–959. doi: 10.1158/2159-8290.Cd-20-1808. [DOI] [PubMed] [Google Scholar]
  • 16.Gu Y, Wu X, Zhang J, Fang Y, Pan Y, Shu Y, Ma P. The evolving landscape of N(6)-methyladenosine modification in the tumor microenvironment. Mol Ther. 2021;29:1703–1715. doi: 10.1016/j.ymthe.2021.04.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Riera-Domingo C, Audigé A, Granja S, Cheng WC, Ho PC, Baltazar F, Stockmann C, Mazzone M. Immunity, hypoxia, and metabolism—the Ménage à Trois of cancer: implications for immunotherapy. Physiol Rev. 2020;100:1–102. doi: 10.1152/physrev.00018.2019. [DOI] [PubMed] [Google Scholar]
  • 18.Wang Y, Wang Y, Ren Y, Zhang Q, Yi P, Cheng C. Metabolic modulation of immune checkpoints and novel therapeutic strategies in cancer. Semin Cancer Biol. 2022 doi: 10.1016/j.semcancer.2022.02.010. [DOI] [PubMed] [Google Scholar]
  • 19.Liu Y, Wang M, Deng T, Liu R, Ning T, Bai M, Ying G, Zhang H, Ba Y. Exosomal miR-155 from gastric cancer induces cancer-associated cachexia by suppressing adipogenesis and promoting brown adipose differentiation via C/EPBβ. Cancer Biol Med. 2022 doi: 10.20892/j.issn.2095-3941.2021.0220. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Miyai Y, Sugiyama D, Hase T, Asai N, Taki T, Nishida K, Fukui T, Chen-Yoshikawa TF, Kobayashi H, Mii S, et al. Meflin-positive cancer-associated fibroblasts enhance tumor response to immune checkpoint blockade. Life Sci Alliance. 2022 doi: 10.26508/lsa.202101230. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Wang Y, Zhang Y, Du Y, Zhou M, Hu Y, Zhang S. Emerging roles of N6-methyladenosine (m(6)A) modification in breast cancer. Cell Biosci. 2020;10:136. doi: 10.1186/s13578-020-00502-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.van den Homberg DAL, van der Kwast R, Quax PHA, Nossent AY. N-6-methyladenosine in vasoactive microRNAs during hypoxia; a novel role for METTL4. Int J Mol Sci. 2022 doi: 10.3390/ijms23031057. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.An Y, Duan H. The role of m6A RNA methylation in cancer metabolism. Mol Cancer. 2022;21:14. doi: 10.1186/s12943-022-01500-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Guo L, Yang H, Zhou C, Shi Y, Huang L, Zhang J. N6-methyladenosine RNA modification in the tumor immune microenvironment: novel implications for immunotherapy. Front Immunol. 2021;12:773570. doi: 10.3389/fimmu.2021.773570. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Daşu A, Toma-Daşu I, Karlsson M. Theoretical simulation of tumour oxygenation and results from acute and chronic hypoxia. Phys Med Biol. 2003;48:2829–2842. doi: 10.1088/0031-9155/48/17/307. [DOI] [PubMed] [Google Scholar]
  • 26.Gilkes DM, Semenza GL, Wirtz D. Hypoxia and the extracellular matrix: drivers of tumour metastasis. Nat Rev Cancer. 2014;14:430–439. doi: 10.1038/nrc3726. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Xu F, Huang M, Chen Q, Niu Y, Hu Y, Hu P, Chen D, He C, Huang K, Zeng Z, et al. LncRNA HIF1A-AS1 promotes gemcitabine resistance of pancreatic cancer by enhancing glycolysis through modulating the AKT/YB1/HIF1α pathway. Cancer Res. 2021;81:5678–5691. doi: 10.1158/0008-5472.Can-21-0281. [DOI] [PubMed] [Google Scholar]
  • 28.Wigerup C, Påhlman S, Bexell D. Therapeutic targeting of hypoxia and hypoxia-inducible factors in cancer. Pharmacol Ther. 2016;164:152–169. doi: 10.1016/j.pharmthera.2016.04.009. [DOI] [PubMed] [Google Scholar]
  • 29.Hu CJ, Wang LY, Chodosh LA, Keith B, Simon MC. Differential roles of hypoxia-inducible factor 1alpha (HIF-1alpha) and HIF-2alpha in hypoxic gene regulation. Mol Cell Biol. 2003;23:9361–9374. doi: 10.1128/mcb.23.24.9361-9374.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Liu Y, Yan W, Tohme S, Chen M, Fu Y, Tian D, Lotze M, Tang D, Tsung A. Hypoxia induced HMGB1 and mitochondrial DNA interactions mediate tumor growth in hepatocellular carcinoma through Toll-like receptor 9. J Hepatol. 2015;63:114–121. doi: 10.1016/j.jhep.2015.02.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Shi Y, Fan S, Wu M, Zuo Z, Li X, Jiang L, Shen Q, Xu P, Zeng L, Zhou Y, et al. YTHDF1 links hypoxia adaptation and non-small cell lung cancer progression. Nat Commun. 2019;10:4892. doi: 10.1038/s41467-019-12801-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Dong F, Qin X, Wang B, Li Q, Hu J, Cheng X, Guo D, Cheng F, Fang C, Tan Y, et al. ALKBH5 facilitates hypoxia-induced paraspeckle assembly and IL8 secretion to generate an immunosuppressive tumor microenvironment. Cancer Res. 2021;81:5876–5888. doi: 10.1158/0008-5472.Can-21-1456. [DOI] [PubMed] [Google Scholar]
  • 33.Yang N, Wang T, Li Q, Han F, Wang Z, Zhu R, Zhou J. HBXIP drives metabolic reprogramming in hepatocellular carcinoma cells via METTL3-mediated m6A modification of HIF-1α. J Cell Physiol. 2021;236:3863–3880. doi: 10.1002/jcp.30128. [DOI] [PubMed] [Google Scholar]
  • 34.Zhong L, Liao D, Zhang M, Zeng C, Li X, Zhang R, Ma H, Kang T. YTHDF2 suppresses cell proliferation and growth via destabilizing the EGFR mRNA in hepatocellular carcinoma. Cancer Lett. 2019;442:252–261. doi: 10.1016/j.canlet.2018.11.006. [DOI] [PubMed] [Google Scholar]
  • 35.Ruan DY, Li T, Wang YN, Meng Q, Li Y, Yu K, Wang M, Lin JF, Luo LZ, Wang DS, et al. FTO downregulation mediated by hypoxia facilitates colorectal cancer metastasis. Oncogene. 2021;40:5168–5181. doi: 10.1038/s41388-021-01916-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Damgaci S, Ibrahim-Hashim A, Enriquez-Navas PM, Pilon-Thomas S, Guvenis A, Gillies RJ. Hypoxia and acidosis: immune suppressors and therapeutic targets. Immunology. 2018;154:354–362. doi: 10.1111/imm.12917. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Wang B, Zhao Q, Zhang Y, Liu Z, Zheng Z, Liu S, Meng L, Xin Y, Jiang X. Targeting hypoxia in the tumor microenvironment: a potential strategy to improve cancer immunotherapy. J Exp Clin Cancer Res. 2021;40:24. doi: 10.1186/s13046-020-01820-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Jellusova J, Cato MH, Apgar JR, Ramezani-Rad P, Leung CR, Chen C, Richardson AD, Conner EM, Benschop RJ, Woodgett JR, Rickert RC. Gsk3 is a metabolic checkpoint regulator in B cells. Nat Immunol. 2017;18:303–312. doi: 10.1038/ni.3664. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Burrows N, Maxwell PH. Hypoxia and B cells. Exp Cell Res. 2017;356:197–203. doi: 10.1016/j.yexcr.2017.03.019. [DOI] [PubMed] [Google Scholar]
  • 40.Francis A, Venkatesh GH, Zaarour RF, Zeinelabdin NA, Nawafleh HH, Prasad P, Buart S, Terry S, Chouaib S. Tumor hypoxia: a key determinant of microenvironment hostility and a major checkpoint during the antitumor response. Crit Rev Immunol. 2018;38:505–524. doi: 10.1615/CritRevImmunol.2019030168. [DOI] [PubMed] [Google Scholar]
  • 41.Labiano S, Palazon A, Melero I. Immune response regulation in the tumor microenvironment by hypoxia. Semin Oncol. 2015;42:378–386. doi: 10.1053/j.seminoncol.2015.02.009. [DOI] [PubMed] [Google Scholar]
  • 42.Clambey ET, McNamee EN, Westrich JA, Glover LE, Campbell EL, Jedlicka P, de Zoeten EF, Cambier JC, Stenmark KR, Colgan SP, Eltzschig HK. Hypoxia-inducible factor-1 alpha-dependent induction of FoxP3 drives regulatory T-cell abundance and function during inflammatory hypoxia of the mucosa. Proc Natl Acad Sci U S A. 2012;109:E2784–2793. doi: 10.1073/pnas.1202366109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Ren L, Yu Y, Wang L, Zhu Z, Lu R, Yao Z. Hypoxia-induced CCL28 promotes recruitment of regulatory T cells and tumor growth in liver cancer. Oncotarget. 2016;7:75763–75773. doi: 10.18632/oncotarget.12409. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Chen X, Song E. Turning foes to friends: targeting cancer-associated fibroblasts. Nat Rev Drug Discov. 2019;18:99–115. doi: 10.1038/s41573-018-0004-1. [DOI] [PubMed] [Google Scholar]
  • 45.Ammirante M, Shalapour S, Kang Y, Jamieson CA, Karin M. Tissue injury and hypoxia promote malignant progression of prostate cancer by inducing CXCL13 expression in tumor myofibroblasts. Proc Natl Acad Sci U S A. 2014;111:14776–14781. doi: 10.1073/pnas.1416498111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Haddad JJ, Harb HL. Cytokines and the regulation of hypoxia-inducible factor (HIF)-1alpha. Int Immunopharmacol. 2005;5:461–483. doi: 10.1016/j.intimp.2004.11.009. [DOI] [PubMed] [Google Scholar]
  • 47.Zhang J, Fan J, Zeng X, Nie M, Luan J, Wang Y, Ju D, Yin K. Hedgehog signaling in gastrointestinal carcinogenesis and the gastrointestinal tumor microenvironment. Acta Pharm Sin B. 2021;11:609–620. doi: 10.1016/j.apsb.2020.10.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Lin Y, Xu J, Lan H. Tumor-associated macrophages in tumor metastasis: biological roles and clinical therapeutic applications. J Hematol Oncol. 2019;12:76. doi: 10.1186/s13045-019-0760-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Wu JY, Huang TW, Hsieh YT, Wang YF, Yen CC, Lee GL, Yeh CC, Peng YJ, Kuo YY, Wen HT, et al. Cancer-derived succinate promotes macrophage polarization and cancer metastasis via succinate receptor. Mol Cell. 2020;77:213–227. doi: 10.1016/j.molcel.2019.10.023. [DOI] [PubMed] [Google Scholar]
  • 50.Tan Y, Tang F, Li J, Yu H, Wu M, Wu Y, Zeng H, Hou K, Zhang Q. Tumor-derived exosomes: the emerging orchestrators in melanoma. Biomed Pharmacother. 2022;149:112832. doi: 10.1016/j.biopha.2022.112832. [DOI] [PubMed] [Google Scholar]
  • 51.Hanahan D, Weinberg RA. Hallmarks of cancer: the next generation. Cell. 2011;144:646–674. doi: 10.1016/j.cell.2011.02.013. [DOI] [PubMed] [Google Scholar]
  • 52.Liberti MV, Locasale JW. The Warburg effect: how does it benefit cancer cells? Trends Biochem Sci. 2016;41:211–218. doi: 10.1016/j.tibs.2015.12.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Denko NC. Hypoxia, HIF1 and glucose metabolism in the solid tumour. Nat Rev Cancer. 2008;8:705–713. doi: 10.1038/nrc2468. [DOI] [PubMed] [Google Scholar]
  • 54.Martínez-Reyes I, Chandel NS. Cancer metabolism: looking forward. Nat Rev Cancer. 2021;21:669–680. doi: 10.1038/s41568-021-00378-6. [DOI] [PubMed] [Google Scholar]
  • 55.Hu Y, Tang J, Xu F, Chen J, Zeng Z, Han S, Wang F, Wang D, Huang M, Zhao Y, et al. A reciprocal feedback between N6-methyladenosine reader YTHDF3 and lncRNA DICER1-AS1 promotes glycolysis of pancreatic cancer through inhibiting maturation of miR-5586-5p. J Exp Clin Cancer Res. 2022;41:69. doi: 10.1186/s13046-022-02285-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Yang D, Chang S, Li F, Ma M, Yang J, Lv X, Huangfu L, Jia C. m(6) A transferase KIAA1429-stabilized LINC00958 accelerates gastric cancer aerobic glycolysis through targeting GLUT1. IUBMB Life. 2021;73:1325–1333. doi: 10.1002/iub.2545. [DOI] [PubMed] [Google Scholar]
  • 57.Shen C, Xuan B, Yan T, Ma Y, Xu P, Tian X, Zhang X, Cao Y, Ma D, Zhu X, et al. m(6)A-dependent glycolysis enhances colorectal cancer progression. Mol Cancer. 2020;19:72. doi: 10.1186/s12943-020-01190-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Xue L, Li J, Lin Y, Liu D, Yang Q, Jian J, Peng J. m(6) A transferase METTL3-induced lncRNA ABHD11-AS1 promotes the Warburg effect of non-small-cell lung cancer. J Cell Physiol. 2021;236:2649–2658. doi: 10.1002/jcp.30023. [DOI] [PubMed] [Google Scholar]
  • 59.Wang Q, Guo X, Li L, Gao Z, Su X, Ji M, Liu J. N(6)-methyladenosine METTL3 promotes cervical cancer tumorigenesis and Warburg effect through YTHDF1/HK2 modification. Cell Death Dis. 2020;11:911. doi: 10.1038/s41419-020-03071-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Yu H, Zhao K, Zeng H, Li Z, Chen K, Zhang Z, Li E, Wu Z. N(6)-methyladenosine (m(6)A) methyltransferase WTAP accelerates the Warburg effect of gastric cancer through regulating HK2 stability. Biomed Pharmacother. 2021;133:111075. doi: 10.1016/j.biopha.2020.111075. [DOI] [PubMed] [Google Scholar]
  • 61.Fu J, Shinjo T, Li Q, St-Louis R, Park K, Yu MG, Yokomizo H, Simao F, Huang Q, Wu IH, King GL. Regenerating glomerular metabolism and function by podocyte pyruvate kinase M2 in diabetic nephropathy. JCI Insight. 2022 doi: 10.1172/jci.insight.155260. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Li J, Zhu L, Shi Y, Liu J, Lin L, Chen X. m6A demethylase FTO promotes hepatocellular carcinoma tumorigenesis via mediating PKM2 demethylation. Am J Transl Res. 2019;11:6084–6092. [PMC free article] [PubMed] [Google Scholar]
  • 63.Tateishi K, Iafrate AJ, Ho Q, Curry WT, Batchelor TT, Flaherty KT, Onozato ML, Lelic N, Sundaram S, Cahill DP, et al. Myc-driven glycolysis is a therapeutic target in glioblastoma. Clin Cancer Res. 2016;22:4452–4465. doi: 10.1158/1078-0432.Ccr-15-2274. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Yang X, Shao F, Guo D, Wang W, Wang J, Zhu R, Gao Y, He J, Lu Z. WNT/β-catenin-suppressed FTO expression increases m(6)A of c-Myc mRNA to promote tumor cell glycolysis and tumorigenesis. Cell Death Dis. 2021;12:462. doi: 10.1038/s41419-021-03739-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Lu S, Han L, Hu X, Sun T, Xu D, Li Y, Chen Q, Yao W, He M, Wang Z, et al. N6-methyladenosine reader IMP2 stabilizes the ZFAS1/OLA1 axis and activates the Warburg effect: implication in colorectal cancer. J Hematol Oncol. 2021;14:188. doi: 10.1186/s13045-021-01204-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Huang J, Sun W, Wang Z, Lv C, Zhang T, Zhang D, Dong W, Shao L, He L, Ji X, et al. FTO suppresses glycolysis and growth of papillary thyroid cancer via decreasing stability of APOE mRNA in an N6-methyladenosine-dependent manner. J Exp Clin Cancer Res. 2022;41:42. doi: 10.1186/s13046-022-02254-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Hou Y, Zhang Q, Pang W, Hou L, Liang Y, Han X, Luo X, Wang P, Zhang X, Li L, Meng X. YTHDC1-mediated augmentation of miR-30d in repressing pancreatic tumorigenesis via attenuation of RUNX1-induced transcriptional activation of Warburg effect. Cell Death Differ. 2021;28:3105–3124. doi: 10.1038/s41418-021-00804-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Uddin MB, Roy KR, Hosain SB, Khiste SK, Hill RA, Jois SD, Zhao Y, Tackett AJ, Liu YY. An N(6)-methyladenosine at the transited codon 273 of p53 pre-mRNA promotes the expression of R273H mutant protein and drug resistance of cancer cells. Biochem Pharmacol. 2019;160:134–145. doi: 10.1016/j.bcp.2018.12.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Dong S, Liang S, Cheng Z, Zhang X, Luo L, Li L, Zhang W, Li S, Xu Q, Zhong M, et al. ROS/PI3K/Akt and Wnt/β-catenin signalings activate HIF-1α-induced metabolic reprogramming to impart 5-fluorouracil resistance in colorectal cancer. J Exp Clin Cancer Res. 2022;41:15. doi: 10.1186/s13046-021-02229-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Zhu Y, Zhao Y, Zou L, Zhang D, Aki D, Liu YC. The E3 ligase VHL promotes follicular helper T cell differentiation via glycolytic-epigenetic control. J Exp Med. 2019;216:1664–1681. doi: 10.1084/jem.20190337. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Mintz MA, Cyster JG. T follicular helper cells in germinal center B cell selection and lymphomagenesis. Immunol Rev. 2020;296:48–61. doi: 10.1111/imr.12860. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Fong MY, Zhou W, Liu L, Alontaga AY, Chandra M, Ashby J, Chow A, O'Connor ST, Li S, Chin AR, et al. Breast-cancer-secreted miR-122 reprograms glucose metabolism in premetastatic niche to promote metastasis. Nat Cell Biol. 2015;17:183–194. doi: 10.1038/ncb3094. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Yan W, Wu X, Zhou W, Fong MY, Cao M, Liu J, Liu X, Chen CH, Fadare O, Pizzo DP, et al. Cancer-cell-secreted exosomal miR-105 promotes tumour growth through the MYC-dependent metabolic reprogramming of stromal cells. Nat Cell Biol. 2018;20:597–609. doi: 10.1038/s41556-018-0083-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Zaidi N, Lupien L, Kuemmerle NB, Kinlaw WB, Swinnen JV, Smans K. Lipogenesis and lipolysis: the pathways exploited by the cancer cells to acquire fatty acids. Prog Lipid Res. 2013;52:585–589. doi: 10.1016/j.plipres.2013.08.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Svensson RU, Parker SJ, Eichner LJ, Kolar MJ, Wallace M, Brun SN, Lombardo PS, Van Nostrand JL, Hutchins A, Vera L, et al. Inhibition of acetyl-CoA carboxylase suppresses fatty acid synthesis and tumor growth of non-small-cell lung cancer in preclinical models. Nat Med. 2016;22:1108–1119. doi: 10.1038/nm.4181. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Zuo X, Chen Z, Gao W, Zhang Y, Wang J, Wang J, Cao M, Cai J, Wu J, Wang X. M6A-mediated upregulation of LINC00958 increases lipogenesis and acts as a nanotherapeutic target in hepatocellular carcinoma. J Hematol Oncol. 2020;13:5. doi: 10.1186/s13045-019-0839-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Fang R, Chen X, Zhang S, Shi H, Ye Y, Shi H, Zou Z, Li P, Guo Q, Ma L, et al. EGFR/SRC/ERK-stabilized YTHDF2 promotes cholesterol dysregulation and invasive growth of glioblastoma. Nat Commun. 2021;12:177. doi: 10.1038/s41467-020-20379-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Zhao Z, Meng J, Su R, Zhang J, Chen J, Ma X, Xia Q. Epitranscriptomics in liver disease: Basic concepts and therapeutic potential. J Hepatol. 2020;73:664–679. doi: 10.1016/j.jhep.2020.04.009. [DOI] [PubMed] [Google Scholar]
  • 79.Chen A, Chen X, Cheng S, Shu L, Yan M, Yao L, Wang B, Huang S, Zhou L, Yang Z, Liu G. FTO promotes SREBP1c maturation and enhances CIDEC transcription during lipid accumulation in HepG2 cells. Biochim Biophys Acta Mol Cell Biol Lipids. 2018;1863:538–548. doi: 10.1016/j.bbalip.2018.02.003. [DOI] [PubMed] [Google Scholar]
  • 80.Guo H, Wang B, Xu K, Nie L, Fu Y, Wang Z, Wang Q, Wang S, Zou X. m(6)A reader HNRNPA2B1 promotes esophageal cancer progression via up-regulation of ACLY and ACC1. Front Oncol. 2020;10:553045. doi: 10.3389/fonc.2020.553045. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Li Q, Ni Y, Zhang L, Jiang R, Xu J, Yang H, Hu Y, Qiu J, Pu L, Tang J, Wang X. HIF-1α-induced expression of m6A reader YTHDF1 drives hypoxia-induced autophagy and malignancy of hepatocellular carcinoma by promoting ATG2A and ATG14 translation. Signal Transduct Target Ther. 2021;6:76. doi: 10.1038/s41392-020-00453-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Tang K, Zhu L, Chen J, Wang D, Zeng L, Chen C, Tang L, Zhou L, Wei K, Zhou Y, et al. Hypoxia promotes breast cancer cell growth by activating a glycogen metabolic program. Cancer Res. 2021;81:4949–4963. doi: 10.1158/0008-5472.Can-21-0753. [DOI] [PubMed] [Google Scholar]
  • 83.Ben-Haim MS, Pinto Y, Moshitch-Moshkovitz S, Hershkovitz V, Kol N, Diamant-Levi T, Beeri MS, Amariglio N, Cohen HY, Rechavi G. Dynamic regulation of N(6),2′-O-dimethyladenosine (m(6)Am) in obesity. Nat Commun. 2021;12:7185. doi: 10.1038/s41467-021-27421-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Seo J, Jeong DW, Park JW, Lee KW, Fukuda J, Chun YS. Fatty-acid-induced FABP5/HIF-1 reprograms lipid metabolism and enhances the proliferation of liver cancer cells. Commun Biol. 2020;3:638. doi: 10.1038/s42003-020-01367-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Zhong X, Yu J, Frazier K, Weng X, Li Y, Cham CM, Dolan K, Zhu X, Hubert N, Tao Y, et al. Circadian clock regulation of hepatic lipid metabolism by modulation of m(6)A mRNA methylation. Cell Rep. 2018;25:1816–1828. doi: 10.1016/j.celrep.2018.10.068. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Ramapriyan R, Caetano MS, Barsoumian HB, Mafra ACP, Zambalde EP, Menon H, Tsouko E, Welsh JW, Cortez MA. Altered cancer metabolism in mechanisms of immunotherapy resistance. Pharmacol Ther. 2019;195:162–171. doi: 10.1016/j.pharmthera.2018.11.004. [DOI] [PubMed] [Google Scholar]
  • 87.Li T, Le A. Glutamine metabolism in cancer. Adv Exp Med Biol. 2018;1063:13–32. doi: 10.1007/978-3-319-77736-8_2. [DOI] [PubMed] [Google Scholar]
  • 88.Guo W, Zhang C, Feng P, Li M, Wang X, Xia Y, Chen D, Li J. M6A methylation of DEGS2, a key ceramide-synthesizing enzyme, is involved in colorectal cancer progression through ceramide synthesis. Oncogene. 2021;40:5913–5924. doi: 10.1038/s41388-021-01987-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Wang Y, Bai C, Ruan Y, Liu M, Chu Q, Qiu L, Yang C, Li B. Coordinative metabolism of glutamine carbon and nitrogen in proliferating cancer cells under hypoxia. Nat Commun. 2019;10:201. doi: 10.1038/s41467-018-08033-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90.Kaelin WG., Jr The von Hippel–Lindau tumour suppressor protein: O2 sensing and cancer. Nat Rev Cancer. 2008;8:865–873. doi: 10.1038/nrc2502. [DOI] [PubMed] [Google Scholar]
  • 91.Xiao Y, Thakkar KN, Zhao H, Broughton J, Li Y, Seoane JA, Diep AN, Metzner TJ, von Eyben R, Dill DL, et al. The m(6)A RNA demethylase FTO is a HIF-independent synthetic lethal partner with the VHL tumor suppressor. Proc Natl Acad Sci U S A. 2020;117:21441–21449. doi: 10.1073/pnas.2000516117. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Zhang C, Zhang M, Ge S, Huang W, Lin X, Gao J, Gong J, Shen L. Reduced m6A modification predicts malignant phenotypes and augmented Wnt/PI3K-Akt signaling in gastric cancer. Cancer Med. 2019;8:4766–4781. doi: 10.1002/cam4.2360. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93.Liu HT, Zou YX, Zhu WJ, Sen L, Zhang GH, Ma RR, Guo XY, Gao P. lncRNA THAP7-AS1, transcriptionally activated by SP1 and post-transcriptionally stabilized by METTL3-mediated m6A modification, exerts oncogenic properties by improving CUL4B entry into the nucleus. Cell Death Differ. 2021 doi: 10.1038/s41418-021-00879-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94.Zhu P, He F, Hou Y, Tu G, Li Q, Jin T, Zeng H, Qin Y, Wan X, Qiao Y, et al. A novel hypoxic long noncoding RNA KB-1980E6.3 maintains breast cancer stem cell stemness via interacting with IGF2BP1 to facilitate c-Myc mRNA stability. Oncogene. 2021;40:1609–1627. doi: 10.1038/s41388-020-01638-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95.Chen P, Liu XQ, Lin X, Gao LY, Zhang S, Huang X. Targeting YTHDF1 effectively re-sensitizes cisplatin-resistant colon cancer cells by modulating GLS-mediated glutamine metabolism. Mol Ther Oncolytics. 2021;20:228–239. doi: 10.1016/j.omto.2021.01.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.Courtney KD, Bezwada D, Mashimo T, Pichumani K, Vemireddy V, Funk AM, Wimberly J, McNeil SS, Kapur P, Lotan Y, et al. Isotope tracing of human clear cell renal cell carcinomas demonstrates suppressed glucose oxidation in vivo. Cell Metab. 2018;28:793–800. doi: 10.1016/j.cmet.2018.07.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97.Green NH, Galvan DL, Badal SS, Chang BH, LeBleu VS, Long J, Jonasch E, Danesh FR. MTHFD2 links RNA methylation to metabolic reprogramming in renal cell carcinoma. Oncogene. 2019;38:6211–6225. doi: 10.1038/s41388-019-0869-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98.Zhuang C, Zhuang C, Luo X, Huang X, Yao L, Li J, Li Y, Xiong T, Ye J, Zhang F, Gui Y. N6-methyladenosine demethylase FTO suppresses clear cell renal cell carcinoma through a novel FTO-PGC-1α signalling axis. J Cell Mol Med. 2019;23:2163–2173. doi: 10.1111/jcmm.14128. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99.Kang H, Zhang Z, Yu L, Li Y, Liang M, Zhou L. FTO reduces mitochondria and promotes hepatic fat accumulation through RNA demethylation. J Cell Biochem. 2018;119:5676–5685. doi: 10.1002/jcb.26746. [DOI] [PubMed] [Google Scholar]
  • 100.Mosca P, Robert A, Alberto JM, Meyer M, Kundu U, Hergalant S, Umoret R, Coelho D, Guéant JL, Leheup B, Dreumont N. Vitamin B(12) deficiency dysregulates m6A mRNA methylation of genes involved in neurological functions. Mol Nutr Food Res. 2021;65:e2100206. doi: 10.1002/mnfr.202100206. [DOI] [PubMed] [Google Scholar]
  • 101.Yu XX, Liu YH, Liu XM, Wang PC, Liu S, Miao JK, Du ZQ, Yang CX. Ascorbic acid induces global epigenetic reprogramming to promote meiotic maturation and developmental competence of porcine oocytes. Sci Rep. 2018;8:6132. doi: 10.1038/s41598-018-24395-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102.Cheng FY, Chiou YY, Hung SY, Lin TM, Wang HK, Lin CW, Liou HH, Chang MY, Wang HH, Lee YC. Novel application of magnetite nanoparticle-mediated vitamin D3 delivery for peritoneal dialysis-related peritoneal damage. Int J Nanomedicine. 2021;16:2137–2146. doi: 10.2147/ijn.S291001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103.Wang JN, Wang F, Ke J, Li Z, Xu CH, Yang Q, Chen X, He XY, He Y, Suo XG, et al. Inhibition of METTL3 attenuates renal injury and inflammation by alleviating TAB3 m6A modifications via IGF2BP2-dependent mechanisms. Sci Transl Med. 2022;14:eabk2709. doi: 10.1126/scitranslmed.abk2709. [DOI] [PubMed] [Google Scholar]
  • 104.Chen H, Gao S, Liu W, Wong CC, Wu J, Wu J, Liu D, Gou H, Kang W, Zhai J, et al. RNA N(6)-methyladenosine methyltransferase METTL3 facilitates colorectal cancer by activating the m(6)A-GLUT1-mTORC1 axis and is a therapeutic target. Gastroenterology. 2021;160:1284–1300. doi: 10.1053/j.gastro.2020.11.013. [DOI] [PubMed] [Google Scholar]
  • 105.Fang C, He M, Li D, Xu Q. YTHDF2 mediates LPS-induced osteoclastogenesis and inflammatory response via the NF-κB and MAPK signaling pathways. Cell Signal. 2021;85:110060. doi: 10.1016/j.cellsig.2021.110060. [DOI] [PubMed] [Google Scholar]
  • 106.Xiong J, He J, Zhu J, Pan J, Liao W, Ye H, Wang H, Song Y, Du Y, Cui B, et al. Lactylation-driven METTL3-mediated RNA m(6)A modification promotes immunosuppression of tumor-infiltrating myeloid cells. Mol Cell. 2022 doi: 10.1016/j.molcel.2022.02.033. [DOI] [PubMed] [Google Scholar]
  • 107.Fischer K, Hoffmann P, Voelkl S, Meidenbauer N, Ammer J, Edinger M, Gottfried E, Schwarz S, Rothe G, Hoves S, et al. Inhibitory effect of tumor cell-derived lactic acid on human T cells. Blood. 2007;109:3812–3819. doi: 10.1182/blood-2006-07-035972. [DOI] [PubMed] [Google Scholar]
  • 108.Kumagai S, Koyama S, Itahashi K, Tanegashima T, Lin YT, Togashi Y, Kamada T, Irie T, Okumura G, Kono H, et al. Lactic acid promotes PD-1 expression in regulatory T cells in highly glycolytic tumor microenvironments. Cancer Cell. 2022;40:201–218. doi: 10.1016/j.ccell.2022.01.001. [DOI] [PubMed] [Google Scholar]
  • 109.Goetze K, Walenta S, Ksiazkiewicz M, Kunz-Schughart LA, Mueller-Klieser W. Lactate enhances motility of tumor cells and inhibits monocyte migration and cytokine release. Int J Oncol. 2011;39:453–463. doi: 10.3892/ijo.2011.1055. [DOI] [PubMed] [Google Scholar]
  • 110.Brand A, Singer K, Koehl GE, Kolitzus M, Schoenhammer G, Thiel A, Matos C, Bruss C, Klobuch S, Peter K, et al. LDHA-associated lactic acid production blunts tumor immunosurveillance by T and NK cells. Cell Metab. 2016;24:657–671. doi: 10.1016/j.cmet.2016.08.011. [DOI] [PubMed] [Google Scholar]
  • 111.Liu N, Luo J, Kuang D, Xu S, Duan Y, Xia Y, Wei Z, Xie X, Yin B, Chen F, et al. Lactate inhibits ATP6V0d2 expression in tumor-associated macrophages to promote HIF-2α-mediated tumor progression. J Clin Invest. 2019;129:631–646. doi: 10.1172/jci123027. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112.Cohen AS, Geng L, Zhao P, Fu A, Schulte ML, Graves-Deal R, Washington MK, Berlin J, Coffey RJ, Manning HC. Combined blockade of EGFR and glutamine metabolism in preclinical models of colorectal cancer. Transl Oncol. 2020;13:100828. doi: 10.1016/j.tranon.2020.100828. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 113.Püschel F, Favaro F, Redondo-Pedraza J, Lucendo E, Iurlaro R, Marchetti S, Majem B, Eldering E, Nadal E, Ricci JE, et al. Starvation and antimetabolic therapy promote cytokine release and recruitment of immune cells. Proc Natl Acad Sci U S A. 2020;117:9932–9941. doi: 10.1073/pnas.1913707117. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 114.Johnson MO, Wolf MM, Madden MZ, Andrejeva G, Sugiura A, Contreras DC, Maseda D, Liberti MV, Paz K, Kishton RJ, et al. Distinct regulation of Th17 and Th1 cell differentiation by glutaminase-dependent metabolism. Cell. 2018;175:1780–1795. doi: 10.1016/j.cell.2018.10.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 115.Lagranha CJ, Senna SM, de Lima TM, Silva E, Doi SQ, Curi R, Pithon-Curi TC. Beneficial effect of glutamine on exercise-induced apoptosis of rat neutrophils. Med Sci Sports Exerc. 2004;36:210–217. doi: 10.1249/01.Mss.0000113490.98089.B1. [DOI] [PubMed] [Google Scholar]
  • 116.Fu Q, Xu L, Wang Y, Jiang Q, Liu Z, Zhang J, Zhou Q, Zeng H, Tong S, Wang T, et al. Tumor-associated macrophage-derived interleukin-23 interlinks kidney cancer glutamine addiction with immune evasion. Eur Urol. 2019;75:752–763. doi: 10.1016/j.eururo.2018.09.030. [DOI] [PubMed] [Google Scholar]
  • 117.Mukha A, Kahya U, Dubrovska A. Targeting glutamine metabolism and autophagy: the combination for prostate cancer radiosensitization. Autophagy. 2021;17:3879–3881. doi: 10.1080/15548627.2021.1962682. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 118.Currie E, Schulze A, Zechner R, Walther TC, Farese RV., Jr Cellular fatty acid metabolism and cancer. Cell Metab. 2013;18:153–161. doi: 10.1016/j.cmet.2013.05.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 119.Lucca LE, Hafler DA. Resisting fatal attraction: a glioma oncometabolite prevents CD8+ T cell recruitment. J Clin Invest. 2017;127:1218–1220. doi: 10.1172/jci93565. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120.Zhang B, Wu Q, Li B, Wang D, Wang L, Zhou YL. m(6)A regulator-mediated methylation modification patterns and tumor microenvironment infiltration characterization in gastric cancer. Mol Cancer. 2020;19:53. doi: 10.1186/s12943-020-01170-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 121.Li B, Zhu L, Lu C, Wang C, Wang H, Jin H, Ma X, Cheng Z, Yu C, Wang S, et al. circNDUFB2 inhibits non-small cell lung cancer progression via destabilizing IGF2BPs and activating anti-tumor immunity. Nat Commun. 2021;12:295. doi: 10.1038/s41467-020-20527-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 122.Li M, Zha X, Wang S. The role of N6-methyladenosine mRNA in the tumor microenvironment. Biochim Biophys Acta Rev Cancer. 2021;1875:188522. doi: 10.1016/j.bbcan.2021.188522. [DOI] [PubMed] [Google Scholar]
  • 123.Han D, Liu J, Chen C, Dong L, Liu Y, Chang R, Huang X, Liu Y, Wang J, Dougherty U, et al. Anti-tumour immunity controlled through mRNA m(6)A methylation and YTHDF1 in dendritic cells. Nature. 2019;566:270–274. doi: 10.1038/s41586-019-0916-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 124.Bai X, Wong CC, Pan Y, Chen H, Liu W, Zhai J, Kang W, Shi Y, Yamamoto M, Tsukamoto T, et al. Loss of YTHDF1 in gastric tumors restores sensitivity to antitumor immunity by recruiting mature dendritic cells. J Immunother Cancer. 2022 doi: 10.1136/jitc-2021-003663. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 125.Liu J, Zhang X, Chen K, Cheng Y, Liu S, Xia M, Chen Y, Zhu H, Li Z, Cao X. CCR7 chemokine receptor-inducible lnc-Dpf3 restrains dendritic cell migration by inhibiting HIF-1α-mediated glycolysis. Immunity. 2019;50:600–615. doi: 10.1016/j.immuni.2019.01.021. [DOI] [PubMed] [Google Scholar]
  • 126.Wang H, Hu X, Huang M, Liu J, Gu Y, Ma L, Zhou Q, Cao X. Mettl3-mediated mRNA m(6)A methylation promotes dendritic cell activation. Nat Commun. 1898;2019:10. doi: 10.1038/s41467-019-09903-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 127.Legut M, Gajic Z, Guarino M, Daniloski Z, Rahman JA, Xue X, Lu C, Lu L, Mimitou EP, Hao S, et al. A genome-scale screen for synthetic drivers of T cell proliferation. Nature. 2022;603:728–735. doi: 10.1038/s41586-022-04494-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 128.Braun DA, Wu CJ. Tumor-infiltrating T cells—a portrait. N Engl J Med. 2022;386:992–994. doi: 10.1056/NEJMcibr2119477. [DOI] [PubMed] [Google Scholar]
  • 129.Liu Y, Liang G, Xu H, Dong W, Dong Z, Qiu Z, Zhang Z, Li F, Huang Y, Li Y, et al. Tumors exploit FTO-mediated regulation of glycolytic metabolism to evade immune surveillance. Cell Metab. 2021;33:1221–1233. doi: 10.1016/j.cmet.2021.04.001. [DOI] [PubMed] [Google Scholar]
  • 130.Wan W, Ao X, Chen Q, Yu Y, Ao L, Xing W, Guo W, Wu X, Pu C, Hu X, et al. METTL3/IGF2BP3 axis inhibits tumor immune surveillance by upregulating N(6)-methyladenosine modification of PD-L1 mRNA in breast cancer. Mol Cancer. 2022;21:60. doi: 10.1186/s12943-021-01447-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 131.Zhou J, Zhang X, Hu J, Qu R, Yu Z, Xu H, Chen H, Yan L, Ding C, Zou Q, et al. m(6)A demethylase ALKBH5 controls CD4(+) T cell pathogenicity and promotes autoimmunity. Sci Adv. 2021 doi: 10.1126/sciadv.abg0470. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 132.Li HB, Tong J, Zhu S, Batista PJ, Duffy EE, Zhao J, Bailis W, Cao G, Kroehling L, Chen Y, et al. m(6)A mRNA methylation controls T cell homeostasis by targeting the IL-7/STAT5/SOCS pathways. Nature. 2017;548:338–342. doi: 10.1038/nature23450. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 133.Zheng Z, Zhang L, Cui XL, Yu X, Hsu PJ, Lyu R, Tan H, Mandal M, Zhang M, Sun HL, et al. Control of early B cell development by the RNA N(6)-methyladenosine methylation. Cell Rep. 2020;31:107819. doi: 10.1016/j.celrep.2020.107819. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 134.Liu XS, Zhou LM, Yuan LL, Gao Y, Kui XY, Liu XY, Pei ZJ. NPM1 is a prognostic biomarker involved in immune infiltration of lung adenocarcinoma and associated with m6A modification and glycolysis. Front Immunol. 2021;12:724741. doi: 10.3389/fimmu.2021.724741. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 135.Yilmaz A, Cui H, Caligiuri MA, Yu J. Chimeric antigen receptor-engineered natural killer cells for cancer immunotherapy. J Hematol Oncol. 2020;13:168. doi: 10.1186/s13045-020-00998-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 136.Ma S, Yan J, Barr T, Zhang J, Chen Z, Wang LS, Sun JC, Chen J, Caligiuri MA, Yu J. The RNA m6A reader YTHDF2 controls NK cell antitumor and antiviral immunity. J Exp Med. 2021 doi: 10.1084/jem.20210279. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 137.Li X, Ma S, Deng Y, Yi P, Yu J. Targeting the RNA m(6)A modification for cancer immunotherapy. Mol Cancer. 2022;21:76. doi: 10.1186/s12943-022-01558-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 138.Song H, Song J, Cheng M, Zheng M, Wang T, Tian S, Flavell RA, Zhu S, Li HB, Ding C, et al. METTL3-mediated m(6)A RNA methylation promotes the anti-tumour immunity of natural killer cells. Nat Commun. 2021;12:5522. doi: 10.1038/s41467-021-25803-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 139.Zhou J, Tang Z, Gao S, Li C, Feng Y, Zhou X. Tumor-associated macrophages: recent insights and therapies. Front Oncol. 2020;10:188. doi: 10.3389/fonc.2020.00188. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 140.Liu Y, Liu Z, Tang H, Shen Y, Gong Z, Xie N, Zhang X, Wang W, Kong W, Zhou Y, Fu Y. The N(6)-methyladenosine (m(6)A)-forming enzyme METTL3 facilitates M1 macrophage polarization through the methylation of STAT1 mRNA. Am J Physiol Cell Physiol. 2019;317:C762–C775. doi: 10.1152/ajpcell.00212.2019. [DOI] [PubMed] [Google Scholar]
  • 141.Tong J, Wang X, Liu Y, Ren X, Wang A, Chen Z, Yao J, Mao K, Liu T, Meng FL, et al. Pooled CRISPR screening identifies m(6)A as a positive regulator of macrophage activation. Sci Adv. 2021 doi: 10.1126/sciadv.abd4742. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 142.Gu X, Zhang Y, Li D, Cai H, Cai L, Xu Q. N6-methyladenosine demethylase FTO promotes M1 and M2 macrophage activation. Cell Signal. 2020;69:109553. doi: 10.1016/j.cellsig.2020.109553. [DOI] [PubMed] [Google Scholar]
  • 143.Huangfu N, Zheng W, Xu Z, Wang S, Wang Y, Cheng J, Li Z, Cheng K, Zhang S, Chen X, Zhu J. RBM4 regulates M1 macrophages polarization through targeting STAT1-mediated glycolysis. Int Immunopharmacol. 2020;83:106432. doi: 10.1016/j.intimp.2020.106432. [DOI] [PubMed] [Google Scholar]
  • 144.Su G, Liu T, Han X, Sun H, Che W, Hu K, Xiao J, Li Y, Liu Y, Li W, Mei H. YTHDF2 is a potential biomarker and associated with immune infiltration in kidney renal clear cell carcinoma. Front Pharmacol. 2021;12:709548. doi: 10.3389/fphar.2021.709548. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 145.Gong PJ, Shao YC, Yang Y, Song WJ, He X, Zeng YF, Huang SR, Wei L, Zhang JW. Analysis of N6-methyladenosine methyltransferase reveals METTL14 and ZC3H13 as tumor suppressor genes in breast cancer. Front Oncol. 2020;10:578963. doi: 10.3389/fonc.2020.578963. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 146.Yi L, Wu G, Guo L, Zou X, Huang P. Comprehensive analysis of the PD-L1 and immune infiltrates of m(6)A RNA methylation regulators in head and neck squamous cell carcinoma. Mol Ther Nucleic Acids. 2020;21:299–314. doi: 10.1016/j.omtn.2020.06.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 147.Ou B, Liu Y, Yang X, Xu X, Yan Y, Zhang J. C5aR1-positive neutrophils promote breast cancer glycolysis through WTAP-dependent m6A methylation of ENO1. Cell Death Dis. 2021;12:737. doi: 10.1038/s41419-021-04028-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 148.Jiang Y, Wan Y, Gong M, Zhou S, Qiu J, Cheng W. RNA demethylase ALKBH5 promotes ovarian carcinogenesis in a simulated tumour microenvironment through stimulating NF-κB pathway. J Cell Mol Med. 2020;24:6137–6148. doi: 10.1111/jcmm.15228. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 149.Dong L, Chen C, Zhang Y, Guo P, Wang Z, Li J, Liu Y, Liu J, Chang R, Li Y, et al. The loss of RNA N(6)-adenosine methyltransferase Mettl14 in tumor-associated macrophages promotes CD8(+) T cell dysfunction and tumor growth. Cancer Cell. 2021;39:945–957. doi: 10.1016/j.ccell.2021.04.016. [DOI] [PubMed] [Google Scholar]
  • 150.Yin H, Zhang X, Yang P, Zhang X, Peng Y, Li D, Yu Y, Wu Y, Wang Y, Zhang J, et al. RNA m6A methylation orchestrates cancer growth and metastasis via macrophage reprogramming. Nat Commun. 2021;12:1394. doi: 10.1038/s41467-021-21514-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 151.Tong J, Cao G, Zhang T, Sefik E, Amezcua Vesely MC, Broughton JP, Zhu S, Li H, Li B, Chen L, et al. m(6)A mRNA methylation sustains Treg suppressive functions. Cell Res. 2018;28:253–256. doi: 10.1038/cr.2018.7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 152.Park MJ, Baek JA, Choi JW, Jang SG, Kim DS, Park SH, Cho ML, Kwok SK. Programmed death-ligand 1 expression potentiates the immune modulatory function of myeloid-derived suppressor cells in systemic lupus erythematosus. Front Immunol. 2021;12:606024. doi: 10.3389/fimmu.2021.606024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 153.Saleh R, Toor SM, Taha RZ, Al-Ali D, Sasidharan Nair V, Elkord E. DNA methylation in the promoters of PD-L1, MMP9, ARG1, galectin-9, TIM-3, VISTA and TGF-β genes in HLA-DR(-) myeloid cells, compared with HLA-DR(+) antigen-presenting cells. Epigenetics. 2020;15:1275–1288. doi: 10.1080/15592294.2020.1767373. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 154.Qiu X, Yang S, Wang S, Wu J, Zheng B, Wang K, Shen S, Jeong S, Li Z, Zhu Y, et al. M(6)A demethylase ALKBH5 regulates PD-L1 expression and tumor immunoenvironment in intrahepatic cholangiocarcinoma. Cancer Res. 2021;81:4778–4793. doi: 10.1158/0008-5472.Can-21-0468. [DOI] [PubMed] [Google Scholar]
  • 155.Ni HH, Zhang L, Huang H, Dai SQ, Li J. Connecting METTL3 and intratumoural CD33(+) MDSCs in predicting clinical outcome in cervical cancer. J Transl Med. 2020;18:393. doi: 10.1186/s12967-020-02553-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 156.Shang W, Gao Y, Tang Z, Zhang Y, Yang R. The pseudogene Olfr29-ps1 promotes the suppressive function and differentiation of monocytic MDSCs. Cancer Immunol Res. 2019;7:813–827. doi: 10.1158/2326-6066.Cir-18-0443. [DOI] [PubMed] [Google Scholar]
  • 157.Li N, Kang Y, Wang L, Huff S, Tang R, Hui H, Agrawal K, Gonzalez GM, Wang Y, Patel SP, Rana TM. ALKBH5 regulates anti-PD-1 therapy response by modulating lactate and suppressive immune cell accumulation in tumor microenvironment. Proc Natl Acad Sci U S A. 2020;117:20159–20170. doi: 10.1073/pnas.1918986117. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 158.Mu X, Wu K, Zhu Y, Zhu Y, Wang Y, Xiao L, Yao Z, Huang W, Sun F, Fan J, et al. Intra-arterial infusion chemotherapy utilizing cisplatin inhibits bladder cancer by decreasing the fibrocytic myeloid-derived suppressor cells in an m6A-dependent manner. Mol Immunol. 2021;137:28–40. doi: 10.1016/j.molimm.2021.06.012. [DOI] [PubMed] [Google Scholar]
  • 159.Chan JL, Tang KC, Patel AP, Bonilla LM, Pierobon N, Ponzio NM, Rameshwar P. Antigen-presenting property of mesenchymal stem cells occurs during a narrow window at low levels of interferon-gamma. Blood. 2006;107:4817–4824. doi: 10.1182/blood-2006-01-0057. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 160.Papait A, Stefani FR, Cargnoni A, Magatti M, Parolini O, Silini AR. The multifaceted roles of MSCs in the tumor microenvironment: interactions with immune cells and exploitation for therapy. Front Cell Dev Biol. 2020;8:447. doi: 10.3389/fcell.2020.00447. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 161.Wu Y, Xie L, Wang M, Xiong Q, Guo Y, Liang Y, Li J, Sheng R, Deng P, Wang Y, et al. Mettl3-mediated m(6)A RNA methylation regulates the fate of bone marrow mesenchymal stem cells and osteoporosis. Nat Commun. 2018;9:4772. doi: 10.1038/s41467-018-06898-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 162.Chang X, Ma Z, Zhu G, Lu Y, Yang J. New perspective into mesenchymal stem cells: Molecular mechanisms regulating osteosarcoma. J Bone Oncol. 2021;29:100372. doi: 10.1016/j.jbo.2021.100372. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 163.Tanno T, Lim Y, Wang Q, Chesi M, Bergsagel PL, Matthews G, Johnstone RW, Ghosh N, Borrello I, Huff CA, Matsui W. Growth differentiating factor 15 enhances the tumor-initiating and self-renewal potential of multiple myeloma cells. Blood. 2014;123:725–733. doi: 10.1182/blood-2013-08-524025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 164.Song T, Yang Y, Wei H, Xie X, Lu J, Zeng Q, Peng J, Zhou Y, Jiang S, Peng J. Zfp217 mediates m6A mRNA methylation to orchestrate transcriptional and post-transcriptional regulation to promote adipogenic differentiation. Nucleic Acids Res. 2019;47:6130–6144. doi: 10.1093/nar/gkz312. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 165.Wang H, Deng Q, Lv Z, Ling Y, Hou X, Chen Z, Dinglin X, Ma S, Li D, Wu Y, et al. N6-methyladenosine induced miR-143-3p promotes the brain metastasis of lung cancer via regulation of VASH1. Mol Cancer. 2019;18:181. doi: 10.1186/s12943-019-1108-x. [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
  • 166.Zhang C, Samanta D, Lu H, Bullen JW, Zhang H, Chen I, He X, Semenza GL. Hypoxia induces the breast cancer stem cell phenotype by HIF-dependent and ALKBH5-mediated m6A-demethylation of NANOG mRNA. Proc Natl Acad Sci U S A. 2016;113:E2047–2056. doi: 10.1073/pnas.1602883113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 167.Jin D, Guo J, Wu Y, Du J, Yang L, Wang X, Di W, Hu B, An J, Kong L, et al. m(6)A mRNA methylation initiated by METTL3 directly promotes YAP translation and increases YAP activity by regulating the MALAT1-miR-1914-3p-YAP axis to induce NSCLC drug resistance and metastasis. J Hematol Oncol. 2019;12:135. doi: 10.1186/s13045-019-0830-6. [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
  • 168.Wang X, Ji Y, Feng P, Liu R, Li G, Zheng J, Xue Y, Wei Y, Ji C, Chen D, Li J. The m6A reader IGF2BP2 regulates macrophage phenotypic activation and inflammatory diseases by stabilizing TSC1 and PPARγ. Adv Sci (Weinh) 2021;8:2100209. doi: 10.1002/advs.202100209. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 169.He X, Tan L, Ni J, Shen G. Expression pattern of m(6)A regulators is significantly correlated with malignancy and antitumor immune response of breast cancer. Cancer Gene Ther. 2021;28:188–196. doi: 10.1038/s41417-020-00208-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 170.Yang D, Zhang W, Zhang H, Zhang F, Chen L, Ma L, Larcher LM, Chen S, Liu N, Zhao Q, et al. Progress, opportunity, and perspective on exosome isolation - efforts for efficient exosome-based theranostics. Theranostics. 2020;10:3684–3707. doi: 10.7150/thno.41580. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 171.Valadi H, Ekström K, Bossios A, Sjöstrand M, Lee JJ, Lötvall JO. Exosome-mediated transfer of mRNAs and microRNAs is a novel mechanism of genetic exchange between cells. Nat Cell Biol. 2007;9:654–659. doi: 10.1038/ncb1596. [DOI] [PubMed] [Google Scholar]
  • 172.Shao C, Yang F, Miao S, Liu W, Wang C, Shu Y, Shen H. Role of hypoxia-induced exosomes in tumor biology. Mol Cancer. 2018;17:120. doi: 10.1186/s12943-018-0869-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 173.Meng W, Hao Y, He C, Li L, Zhu G. Exosome-orchestrated hypoxic tumor microenvironment. Mol Cancer. 2019;18:57. doi: 10.1186/s12943-019-0982-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 174.Kumar A, Deep G. Hypoxia in tumor microenvironment regulates exosome biogenesis: molecular mechanisms and translational opportunities. Cancer Lett. 2020;479:23–30. doi: 10.1016/j.canlet.2020.03.017. [DOI] [PubMed] [Google Scholar]
  • 175.Ilkhani K, Bastami M, Delgir S, Safi A, Talebian S, Alivand MR. The engaged role of tumor microenvironment in cancer metabolism: focusing on cancer-associated fibroblast and exosome mediators. Anticancer Agents Med Chem. 2021;21:254–266. doi: 10.2174/1871520620666200910123428. [DOI] [PubMed] [Google Scholar]
  • 176.Pan S, Deng Y, Fu J, Zhang Y, Zhang Z, Qin X. N6-methyladenosine upregulates miR-181d-5p in exosomes derived from cancer-associated fibroblasts to inhibit 5-FU sensitivity by targeting NCALD in colorectal cancer. Int J Oncol. 2022 doi: 10.3892/ijo.2022.5304. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 177.Mashouri L, Yousefi H, Aref AR, Ahadi AM, Molaei F, Alahari SK. Exosomes: composition, biogenesis, and mechanisms in cancer metastasis and drug resistance. Mol Cancer. 2019;18:75. doi: 10.1186/s12943-019-0991-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 178.Wan M, Ning B, Spiegel S, Lyon CJ, Hu TY. Tumor-derived exosomes (TDEs): how to avoid the sting in the tail. Med Res Rev. 2020;40:385–412. doi: 10.1002/med.21623. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 179.Taylor DD, Gerçel-Taylor C. Tumour-derived exosomes and their role in cancer-associated T-cell signalling defects. Br J Cancer. 2005;92:305–311. doi: 10.1038/sj.bjc.6602316. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 180.Kim JW, Wieckowski E, Taylor DD, Reichert TE, Watkins S, Whiteside TL. Fas ligand-positive membranous vesicles isolated from sera of patients with oral cancer induce apoptosis of activated T lymphocytes. Clin Cancer Res. 2005;11:1010–1020. doi: 10.1158/1078-0432.1010.11.3. [DOI] [PubMed] [Google Scholar]
  • 181.Mrizak D, Martin N, Barjon C, Jimenez-Pailhes AS, Mustapha R, Niki T, Guigay J, Pancré V, de Launoit Y, Busson P, et al. Effect of nasopharyngeal carcinoma-derived exosomes on human regulatory T cells. J Natl Cancer Inst. 2015;107:363. doi: 10.1093/jnci/dju363. [DOI] [PubMed] [Google Scholar]
  • 182.Biswas S, Mandal G, Roy Chowdhury S, Purohit S, Payne KK, Anadon C, Gupta A, Swanson P, Yu X, Conejo-Garcia JR, Bhattacharyya A. Exosomes produced by mesenchymal stem cells drive differentiation of myeloid cells into immunosuppressive M2-polarized macrophages in breast cancer. J Immunol. 2019;203:3447–3460. doi: 10.4049/jimmunol.1900692. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 183.Yang X, Zhang Y, Zhang Y, Zhang S, Qiu L, Zhuang Z, Wei M, Deng X, Wang Z, Han J. The key role of exosomes on the pre-metastatic Niche formation in tumors. Front Mol Biosci. 2021;8:703640. doi: 10.3389/fmolb.2021.703640. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 184.Pan Z, Zhao R, Li B, Qi Y, Qiu W, Guo Q, Zhang S, Zhao S, Xu H, Li M, et al. EWSR1-induced circNEIL3 promotes glioma progression and exosome-mediated macrophage immunosuppressive polarization via stabilizing IGF2BP3. Mol Cancer. 2022;21:16. doi: 10.1186/s12943-021-01485-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 185.Wang Z, He J, Bach DH, Huang YH, Li Z, Liu H, Lin P, Yang J. Induction of m(6)A methylation in adipocyte exosomal LncRNAs mediates myeloma drug resistance. J Exp Clin Cancer Res. 2022;41:4. doi: 10.1186/s13046-021-02209-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 186.Chen G, Liu B, Yin S, Li S, Guo Y, Wang M, Wang K, Wan X. Hypoxia induces an endometrial cancer stem-like cell phenotype via HIF-dependent demethylation of SOX2 mRNA. Oncogenesis. 2020;9:81. doi: 10.1038/s41389-020-00265-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 187.Zhang C, Zhi WI, Lu H, Samanta D, Chen I, Gabrielson E, Semenza GL. Hypoxia-inducible factors regulate pluripotency factor expression by ZNF217- and ALKBH5-mediated modulation of RNA methylation in breast cancer cells. Oncotarget. 2016;7:64527–64542. doi: 10.18632/oncotarget.11743. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 188.Plaks V, Kong N, Werb Z. The cancer stem cell niche: how essential is the niche in regulating stemness of tumor cells? Cell Stem Cell. 2015;16:225–238. doi: 10.1016/j.stem.2015.02.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 189.Tsuruta N, Tsuchihashi K, Ohmura H, Yamaguchi K, Ito M, Ariyama H, Kusaba H, Akashi K, Baba E. RNA N6-methyladenosine demethylase FTO regulates PD-L1 expression in colon cancer cells. Biochem Biophys Res Commun. 2020;530:235–239. doi: 10.1016/j.bbrc.2020.06.153. [DOI] [PubMed] [Google Scholar]
  • 190.Su R, Dong L, Li Y, Gao M, Han L, Wunderlich M, Deng X, Li H, Huang Y, Gao L, et al. Targeting FTO suppresses cancer stem cell maintenance and immune evasion. Cancer Cell. 2020;38:79–96. doi: 10.1016/j.ccell.2020.04.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 191.Lambert AW, Pattabiraman DR, Weinberg RA. Emerging biological principles of metastasis. Cell. 2017;168:670–691. doi: 10.1016/j.cell.2016.11.037. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 192.Yang Z, Wang T, Wu D, Min Z, Tan J, Yu B. RNA N6-methyladenosine reader IGF2BP3 regulates cell cycle and angiogenesis in colon cancer. J Exp Clin Cancer Res. 2020;39:203. doi: 10.1186/s13046-020-01714-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 193.De Bock K, Cauwenberghs S, Carmeliet P. Vessel abnormalization: another hallmark of cancer? Molecular mechanisms and therapeutic implications. Curr Opin Genet Dev. 2011;21:73–79. doi: 10.1016/j.gde.2010.10.008. [DOI] [PubMed] [Google Scholar]
  • 194.Panneerdoss S, Eedunuri VK, Yadav P, Timilsina S, Rajamanickam S, Viswanadhapalli S, Abdelfattah N, Onyeagucha BC, Cui X, Lai Z, et al. Cross-talk among writers, readers, and erasers of m(6)A regulates cancer growth and progression. Sci Adv. 2018;4:eaar8263. doi: 10.1126/sciadv.aar8263. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 195.Hou J, Zhang H, Liu J, Zhao Z, Wang J, Lu Z, Hu B, Zhou J, Zhao Z, Feng M, et al. YTHDF2 reduction fuels inflammation and vascular abnormalization in hepatocellular carcinoma. Mol Cancer. 2019;18:163. doi: 10.1186/s12943-019-1082-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 196.Jiang L, Li Y, He Y, Wei D, Yan L, Wen H. Knockdown of m6A reader IGF2BP3 inhibited hypoxia-induced cell migration and angiogenesis by regulating hypoxia inducible factor-1α in stomach cancer. Front Oncol. 2021;11:711207. doi: 10.3389/fonc.2021.711207. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 197.Wang Q, Chen C, Ding Q, Zhao Y, Wang Z, Chen J, Jiang Z, Zhang Y, Xu G, Zhang J, et al. METTL3-mediated m(6)A modification of HDGF mRNA promotes gastric cancer progression and has prognostic significance. Gut. 2020;69:1193–1205. doi: 10.1136/gutjnl-2019-319639. [DOI] [PubMed] [Google Scholar]
  • 198.Wang LJ, Xue Y, Huo R, Yan Z, Xu H, Li H, Wang J, Zhang Q, Cao Y, Zhao JZ. N6-methyladenosine methyltransferase METTL3 affects the phenotype of cerebral arteriovenous malformation via modulating Notch signaling pathway. J Biomed Sci. 2020;27:62. doi: 10.1186/s12929-020-00655-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 199.Apte RS, Chen DS, Ferrara N. VEGF in signaling and disease: beyond discovery and development. Cell. 2019;176:1248–1264. doi: 10.1016/j.cell.2019.01.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 200.Chen X, Hua W, Huang X, Chen Y, Zhang J, Li G. Regulatory role of RNA N(6)-methyladenosine modification in bone biology and osteoporosis. Front Endocrinol (Lausanne) 2019;10:911. doi: 10.3389/fendo.2019.00911. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 201.Chang G, Shi L, Ye Y, Shi H, Zeng L, Tiwary S, Huse JT, Huo L, Ma L, Ma Y, et al. YTHDF3 induces the translation of m(6)A-enriched gene transcripts to promote breast cancer brain metastasis. Cancer Cell. 2020;38:857–871. doi: 10.1016/j.ccell.2020.10.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 202.Lin Z, Niu Y, Wan A, Chen D, Liang H, Chen X, Sun L, Zhan S, Chen L, Cheng C, et al. RNA m(6) A methylation regulates sorafenib resistance in liver cancer through FOXO3-mediated autophagy. Embo J. 2020;39:e103181. doi: 10.15252/embj.2019103181. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 203.Gupta GP, Massagué J. Cancer metastasis: building a framework. Cell. 2006;127:679–695. doi: 10.1016/j.cell.2006.11.001. [DOI] [PubMed] [Google Scholar]
  • 204.Xu Y, He X, Wang S, Sun B, Jia R, Chai P, Li F, Yang Y, Ge S, Jia R, et al. The m(6)A reading protein YTHDF3 potentiates tumorigenicity of cancer stem-like cells in ocular melanoma through facilitating CTNNB1 translation. Oncogene. 2022;41:1281–1297. doi: 10.1038/s41388-021-02146-0. [DOI] [PubMed] [Google Scholar]
  • 205.Suo L, Liu C, Zhang QY, Yao MD, Ma Y, Yao J, Jiang Q, Yan B. METTL3-mediated N (6)-methyladenosine modification governs pericyte dysfunction during diabetes-induced retinal vascular complication. Theranostics. 2022;12:277–289. doi: 10.7150/thno.63441. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 206.Yao X, Li W, Li L, Li M, Zhao Y, Fang D, Zeng X, Luo Z. YTHDF1 upregulation mediates hypoxia-dependent breast cancer growth and metastasis through regulating PKM2 to affect glycolysis. Cell Death Dis. 2022;13:258. doi: 10.1038/s41419-022-04711-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 207.Zhang C, Chen L, Liu Y, Huang J, Liu A, Xu Y, Shen Y, He H, Xu D. Downregulated METTL14 accumulates BPTF that reinforces super-enhancers and distal lung metastasis via glycolytic reprogramming in renal cell carcinoma. Theranostics. 2021;11:3676–3693. doi: 10.7150/thno.55424. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 208.Yu H, Yang X, Tang J, Si S, Zhou Z, Lu J, Han J, Yuan B, Wu Q, Lu Q, Yang H. ALKBH5 inhibited cell proliferation and sensitized bladder cancer cells to cisplatin by m6A-CK2α-mediated glycolysis. Mol Ther Nucleic Acids. 2021;23:27–41. doi: 10.1016/j.omtn.2020.10.031. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 209.Acharyya S, Oskarsson T, Vanharanta S, Malladi S, Kim J, Morris PG, Manova-Todorova K, Leversha M, Hogg N, Seshan VE, et al. A CXCL1 paracrine network links cancer chemoresistance and metastasis. Cell. 2012;150:165–178. doi: 10.1016/j.cell.2012.04.042. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 210.Wang S, Gao S, Zeng Y, Zhu L, Mo Y, Wong CC, Bao Y, Su P, Zhai J, Wang L, et al. N6-methyladenosine reader YTHDF1 promotes ARHGEF2 translation and RhoA signaling in colorectal cancer. Gastroenterology. 2021 doi: 10.1053/j.gastro.2021.12.269. [DOI] [PubMed] [Google Scholar]
  • 211.Du Y, Han M, Cao K, Li Q, Pang J, Dou L, Liu S, Shi Z, Yan F, Feng S. Gold nanorods exhibit intrinsic therapeutic activity via controlling N6-methyladenosine-based epitranscriptomics in acute myeloid leukemia. ACS Nano. 2021 doi: 10.1021/acsnano.1c05547. [DOI] [PubMed] [Google Scholar]
  • 212.Chen Z, Wu L, Zhou J, Lin X, Peng Y, Ge L, Chiang CM, Huang H, Wang H, He W. N6-methyladenosine-induced ERRγ triggers chemoresistance of cancer cells through upregulation of ABCB1 and metabolic reprogramming. Theranostics. 2020;10:3382–3396. doi: 10.7150/thno.40144. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 213.Liu X, Gonzalez G, Dai X, Miao W, Yuan J, Huang M, Bade D, Li L, Sun Y, Wang Y. Adenylate kinase 4 modulates the resistance of breast cancer cells to tamoxifen through an m(6)A-based epitranscriptomic mechanism. Mol Ther. 2020;28:2593–2604. doi: 10.1016/j.ymthe.2020.09.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 214.Li XD, Wang MJ, Zheng JL, Wu YH, Wang X, Jiang XB. Long noncoding RNA just proximal to X-inactive specific transcript facilitates aerobic glycolysis and temozolomide chemoresistance by promoting stability of PDK1 mRNA in an m6A-dependent manner in glioblastoma multiforme cells. Cancer Sci. 2021;112:4543–4552. doi: 10.1111/cas.15072. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 215.Ding C, Yi X, Chen X, Wu Z, You H, Chen X, Zhang G, Sun Y, Bu X, Wu X, et al. Warburg effect-promoted exosomal circ_0072083 releasing up-regulates NANGO expression through multiple pathways and enhances temozolomide resistance in glioma. J Exp Clin Cancer Res. 2021;40:164. doi: 10.1186/s13046-021-01942-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 216.Kowalski-Chauvel A, Lacore MG, Arnauduc F, Delmas C, Toulas C, Cohen-Jonathan-Moyal E, Seva C. The m6A RNA demethylase ALKBH5 promotes radioresistance and invasion capability of glioma stem cells. Cancers (Basel) 2020 doi: 10.3390/cancers13010040. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 217.Taketo K, Konno M, Asai A, Koseki J, Toratani M, Satoh T, Doki Y, Mori M, Ishii H, Ogawa K. The epitranscriptome m6A writer METTL3 promotes chemo- and radioresistance in pancreatic cancer cells. Int J Oncol. 2018;52:621–629. doi: 10.3892/ijo.2017.4219. [DOI] [PubMed] [Google Scholar]
  • 218.Zhou S, Bai ZL, Xia D, Zhao ZJ, Zhao R, Wang YY, Zhe H. FTO regulates the chemo-radiotherapy resistance of cervical squamous cell carcinoma (CSCC) by targeting β-catenin through mRNA demethylation. Mol Carcinog. 2018;57:590–597. doi: 10.1002/mc.22782. [DOI] [PubMed] [Google Scholar]
  • 219.Peng L, Yuan X, Jiang B, Tang Z, Li GC. LncRNAs: key players and novel insights into cervical cancer. Tumour Biol. 2016;37:2779–2788. doi: 10.1007/s13277-015-4663-9. [DOI] [PubMed] [Google Scholar]
  • 220.Visvanathan A, Patil V, Arora A, Hegde AS, Arivazhagan A, Santosh V, Somasundaram K. Essential role of METTL3-mediated m(6)A modification in glioma stem-like cells maintenance and radioresistance. Oncogene. 2018;37:522–533. doi: 10.1038/onc.2017.351. [DOI] [PubMed] [Google Scholar]
  • 221.Dikic I, Elazar Z. Mechanism and medical implications of mammalian autophagy. Nat Rev Mol Cell Biol. 2018;19:349–364. doi: 10.1038/s41580-018-0003-4. [DOI] [PubMed] [Google Scholar]
  • 222.Poillet-Perez L, White E. Role of tumor and host autophagy in cancer metabolism. Genes Dev. 2019;33:610–619. doi: 10.1101/gad.325514.119. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 223.Feng X, Zhang H, Meng L, Song H, Zhou Q, Qu C, Zhao P, Li Q, Zou C, Liu X, Zhang Z. Hypoxia-induced acetylation of PAK1 enhances autophagy and promotes brain tumorigenesis via phosphorylating ATG5. Autophagy. 2021;17:723–742. doi: 10.1080/15548627.2020.1731266. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 224.Feng S, Qiu G, Yang L, Feng L, Fan X, Ren F, Huang K, Chen Y. 2021. Omeprazole improves chemosensitivity of gastric cancer cells by m6A demethylase FTO-mediated activation of mTORC1 and DDIT3 up-regulation. Biosci Rep. [DOI] [PMC free article] [PubMed]
  • 225.Zhang R, Li SW, Liu L, Yang J, Huang G, Sang Y. TRIM11 facilitates chemoresistance in nasopharyngeal carcinoma by activating the β-catenin/ABCC9 axis via p62-selective autophagic degradation of Daple. Oncogenesis. 2020;9:45. doi: 10.1038/s41389-020-0229-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 226.Jin S, Zhang X, Miao Y, Liang P, Zhu K, She Y, Wu Y, Liu DA, Huang J, Ren J, Cui J. m(6)A RNA modification controls autophagy through upregulating ULK1 protein abundance. Cell Res. 2018;28:955–957. doi: 10.1038/s41422-018-0069-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 227.Sarcognato S, Jong IEM, Fabris L, Cadamuro M, Guido M. Necroptosis in cholangiocarcinoma. Cells. 2020 doi: 10.3390/cells9040982. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 228.Wang Y, Lu JH, Wu QN, Jin Y, Wang DS, Chen YX, Liu J, Luo XJ, Meng Q, Pu HY, et al. LncRNA LINRIS stabilizes IGF2BP2 and promotes the aerobic glycolysis in colorectal cancer. Mol Cancer. 2019;18:174. doi: 10.1186/s12943-019-1105-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 229.Pistritto G, Trisciuoglio D, Ceci C, Garufi A, D'Orazi G. Apoptosis as anticancer mechanism: function and dysfunction of its modulators and targeted therapeutic strategies. Aging (Albany NY) 2016;8:603–619. doi: 10.18632/aging.100934. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 230.Wong RS. Apoptosis in cancer: from pathogenesis to treatment. J Exp Clin Cancer Res. 2011;30:87. doi: 10.1186/1756-9966-30-87. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 231.Chen J, Wang C, Fei W, Fang X, Hu X. Epitranscriptomic m6A modification in the stem cell field and its effects on cell death and survival. Am J Cancer Res. 2019;9:752–764. [PMC free article] [PubMed] [Google Scholar]
  • 232.Song H, Feng X, Zhang H, Luo Y, Huang J, Lin M, Jin J, Ding X, Wu S, Huang H, et al. METTL3 and ALKBH5 oppositely regulate m(6)A modification of TFEB mRNA, which dictates the fate of hypoxia/reoxygenation-treated cardiomyocytes. Autophagy. 2019;15:1419–1437. doi: 10.1080/15548627.2019.1586246. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 233.Kong F, Liu X, Zhou Y, Hou X, He J, Li Q, Miao X, Yang L. Downregulation of METTL14 increases apoptosis and autophagy induced by cisplatin in pancreatic cancer cells. Int J Biochem Cell Biol. 2020;122:105731. doi: 10.1016/j.biocel.2020.105731. [DOI] [PubMed] [Google Scholar]
  • 234.Zhou XL, Huang FJ, Li Y, Huang H, Wu QC. SEDT2/METTL14-mediated m6A methylation awakening contributes to hypoxia-induced pulmonary arterial hypertension in mice. Aging (Albany NY) 2021;13:7538–7548. doi: 10.18632/aging.202616. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 235.Sun L, Wan A, Zhou Z, Chen D, Liang H, Liu C, Yan S, Niu Y, Lin Z, Zhan S, et al. RNA-binding protein RALY reprogrammes mitochondrial metabolism via mediating miRNA processing in colorectal cancer. Gut. 2021;70:1698–1712. doi: 10.1136/gutjnl-2020-320652. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 236.Niu Y, Lin Z, Wan A, Chen H, Liang H, Sun L, Wang Y, Li X, Xiong XF, Wei B, et al. RNA N6-methyladenosine demethylase FTO promotes breast tumor progression through inhibiting BNIP3. Mol Cancer. 2019;18:46. doi: 10.1186/s12943-019-1004-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 237.Su R, Dong L, Li C, Nachtergaele S, Wunderlich M, Qing Y, Deng X, Wang Y, Weng X, Hu C, et al. R-2HG exhibits anti-tumor activity by targeting FTO/m(6)A/MYC/CEBPA signaling. Cell. 2018;172:90–105. doi: 10.1016/j.cell.2017.11.031. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 238.Li B, Jiang J, Assaraf YG, Xiao H, Chen ZS, Huang C. Surmounting cancer drug resistance: new insights from the perspective of N(6)-methyladenosine RNA modification. Drug Resist Updat. 2020;53:100720. doi: 10.1016/j.drup.2020.100720. [DOI] [PubMed] [Google Scholar]
  • 239.Galluzzi L, Buqué A, Kepp O, Zitvogel L, Kroemer G. Immunogenic cell death in cancer and infectious disease. Nat Rev Immunol. 2017;17:97–111. doi: 10.1038/nri.2016.107. [DOI] [PubMed] [Google Scholar]
  • 240.Tsvetkov P, Coy S, Petrova B, Dreishpoon M, Verma A, Abdusamad M, Rossen J, Joesch-Cohen L, Humeidi R, Spangler RD, et al. Copper induces cell death by targeting lipoylated TCA cycle proteins. Science. 2022;375:1254–1261. doi: 10.1126/science.abf0529. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 241.Massagué J. G1 cell-cycle control and cancer. Nature. 2004;432:298–306. doi: 10.1038/nature03094. [DOI] [PubMed] [Google Scholar]
  • 242.Li L, Chen YX, Yang B, Liao JY, Peng JW, Zhu S. The crosstalk between RNA m(6)A epitranscriptome and TGFβ signaling pathway contributes to the arrest of cell cycle. Gene. 2020;738:144483. doi: 10.1016/j.gene.2020.144483. [DOI] [PubMed] [Google Scholar]
  • 243.Xie F, Huang C, Liu F, Zhang H, Xiao X, Sun J, Zhang X, Jiang G. CircPTPRA blocks the recognition of RNA N(6)-methyladenosine through interacting with IGF2BP1 to suppress bladder cancer progression. Mol Cancer. 2021;20:68. doi: 10.1186/s12943-021-01359-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 244.Zhang J, Luo W, Chi X, Zhang L, Ren Q, Wang H, Zhang W. IGF2BP1 silencing inhibits proliferation and induces apoptosis of high glucose-induced non-small cell lung cancer cells by regulating Netrin-1. Arch Biochem Biophys. 2020;693:108581. doi: 10.1016/j.abb.2020.108581. [DOI] [PubMed] [Google Scholar]
  • 245.Xu Y, Zheng Y, Liu H, Li T. Modulation of IGF2BP1 by long non-coding RNA HCG11 suppresses apoptosis of hepatocellular carcinoma cells via MAPK signaling transduction. Int J Oncol. 2017;51:791–800. doi: 10.3892/ijo.2017.4066. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 246.Zhang L, Wan Y, Zhang Z, Jiang Y, Gu Z, Ma X, Nie S, Yang J, Lang J, Cheng W, Zhu L. IGF2BP1 overexpression stabilizes PEG10 mRNA in an m6A-dependent manner and promotes endometrial cancer progression. Theranostics. 2021;11:1100–1114. doi: 10.7150/thno.49345. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 247.Gu Y, Niu S, Wang Y, Duan L, Pan Y, Tong Z, Zhang X, Yang Z, Peng B, Wang X, et al. DMDRMR-mediated regulation of m(6)A-modified CDK4 by m(6)A reader IGF2BP3 drives ccRCC progression. Cancer Res. 2021;81:923–934. doi: 10.1158/0008-5472.Can-20-1619. [DOI] [PubMed] [Google Scholar]
  • 248.Quinn JM, Greenwade MM, Palisoul ML, Opara G, Massad K, Guo L, Zhao P, Beck-Noia H, Hagemann IS, Hagemann AR, et al. Therapeutic inhibition of the receptor tyrosine kinase AXL improves sensitivity to platinum and taxane in ovarian cancer. Mol Cancer Ther. 2019;18:389–398. doi: 10.1158/1535-7163.Mct-18-0537. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 249.Wang YJ, Yang B, Lai Q, Shi JF, Peng JY, Zhang Y, Hu KS, Li YQ, Peng JW, Yang ZZ, et al. Reprogramming of m(6)A epitranscriptome is crucial for shaping of transcriptome and proteome in response to hypoxia. RNA Biol. 2021;18:131–143. doi: 10.1080/15476286.2020.1804697. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 250.Zhang X, Wang F, Wang Z, Yang X, Yu H, Si S, Lu J, Zhou Z, Lu Q, Wang Z, Yang H. ALKBH5 promotes the proliferation of renal cell carcinoma by regulating AURKB expression in an m(6)A-dependent manner. Ann Transl Med. 2020;8:646. doi: 10.21037/atm-20-3079. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 251.Xiao K, Liu P, Yan P, Liu Y, Song L, Liu Y, Xie L. N6-methyladenosine reader YTH N6-methyladenosine RNA binding protein 3 or insulin like growth factor 2 mRNA binding protein 2 knockdown protects human bronchial epithelial cells from hypoxia/reoxygenation injury by inactivating p38 MAPK, AKT, ERK1/2, and NF-κB pathways. Bioengineered. 2021 doi: 10.1080/21655979.2021.1999550. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 252.Duijf PHG, Nanayakkara D, Nones K, Srihari S, Kalimutho M, Khanna KK. Mechanisms of genomic instability in breast cancer. Trends Mol Med. 2019;25:595–611. doi: 10.1016/j.molmed.2019.04.004. [DOI] [PubMed] [Google Scholar]
  • 253.Lord CJ, Ashworth A. The DNA damage response and cancer therapy. Nature. 2012;481:287–294. doi: 10.1038/nature10760. [DOI] [PubMed] [Google Scholar]
  • 254.Höckel M, Vaupel P. Biological consequences of tumor hypoxia. Semin Oncol. 2001;28:36–41. doi: 10.1016/S0093-7754(01)90211-8. [DOI] [PubMed] [Google Scholar]
  • 255.Tian J, Ying P, Ke J, Zhu Y, Yang Y, Gong Y, Zou D, Peng X, Yang N, Wang X, et al. ANKLE1 N(6) -Methyladenosine-related variant is associated with colorectal cancer risk by maintaining the genomic stability. Int J Cancer. 2020;146:3281–3293. doi: 10.1002/ijc.32677. [DOI] [PubMed] [Google Scholar]
  • 256.Yin T, Zhao L, Yao S. Comprehensive characterization of m6A methylation and its impact on prognosis, genome instability, and tumor microenvironment in hepatocellular carcinoma. BMC Med Genomics. 2022;15:53. doi: 10.1186/s12920-022-01207-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 257.Lee JH, Hong J, Zhang Z, de la Peña AB, Proietti CJ, Deamicis AR, Guzmán GP, Lam HM, Garcia J, Roudier MP, et al. Regulation of telomere homeostasis and genomic stability in cancer by N (6)-adenosine methylation (m(6)A) Sci Adv. 2021 doi: 10.1126/sciadv.abg7073. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 258.Nair L, Zhang W, Laffleur B, Jha MK, Lim J, Lee H, Wu L, Alvarez NS, Liu ZP, Munteanu EL, et al. Mechanism of noncoding RNA-associated N(6)-methyladenosine recognition by an RNA processing complex during IgH DNA recombination. Mol Cell. 2021;81:3949–3964. doi: 10.1016/j.molcel.2021.07.037. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 259.Sang W, Xue S, Jiang Y, Lu H, Zhu L, Wang C, Ma J. METTL3 involves the progression of osteoarthritis probably by affecting ECM degradation and regulating the inflammatory response. Life Sci. 2021;278:119528. doi: 10.1016/j.lfs.2021.119528. [DOI] [PubMed] [Google Scholar]
  • 260.Liu P, Zhang B, Chen Z, He Y, Du Y, Liu Y, Chen X. m(6)A-induced lncRNA MALAT1 aggravates renal fibrogenesis in obstructive nephropathy through the miR-145/FAK pathway. Aging (Albany NY) 2020;12:5280–5299. doi: 10.18632/aging.102950. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 261.Song K, Xu H, Wang C. The role of N6-methyladenosine methylation in the progression of endometrial cancer. Cancer Biother Radiopharm. 2020 doi: 10.1089/cbr.2020.3912. [DOI] [PubMed] [Google Scholar]
  • 262.Ren J, Li Y, Wuermanbieke S, Hu S, Huang G. N(6)-methyladenosine (m(6)A) methyltransferase METTL3-mediated LINC00680 accelerates osteoarthritis through m(6)A/SIRT1 manner. Cell Death Discov. 2022;8:240. doi: 10.1038/s41420-022-00890-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 263.Fang S, Zeng F, Chen R, Li M. SIAH1 promotes senescence and apoptosis of nucleus pulposus cells to exacerbate disc degeneration through ubiquitinating XIAP. Tissue Cell. 2022;76:101820. doi: 10.1016/j.tice.2022.101820. [DOI] [PubMed] [Google Scholar]
  • 264.Shi L, Hu H, Sun P, Li Z, Ji L, Liu S, Zhang J. RPL38 knockdown inhibits the inflammation and apoptosis in chondrocytes through regulating METTL3-mediated SOCS2 m6A modification in osteoarthritis. Inflamm Res. 2022 doi: 10.1007/s00011-022-01579-x. [DOI] [PubMed] [Google Scholar]
  • 265.Hou M, Guo X, Chen Y, Cong L, Pan C. A prognostic molecular signature of N6-methyladenosine methylation regulators for soft-tissue sarcoma from The Cancer Genome Atlas Database. Med Sci Monit. 2020;26:e928400. doi: 10.12659/msm.928400. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 266.Huang H, Weng H, Chen J. m(6)A modification in coding and non-coding RNAs: roles and therapeutic implications in cancer. Cancer Cell. 2020;37:270–288. doi: 10.1016/j.ccell.2020.02.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 267.Dong S, Wu Y, Liu Y, Weng H, Huang H. N(6)-methyladenosine steers RNA metabolism and regulation in cancer. Cancer Commun (Lond) 2021;41:538–559. doi: 10.1002/cac2.12161. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 268.Huang W, Qi CB, Lv SW, Xie M, Feng YQ, Huang WH, Yuan BF. Determination of DNA and RNA methylation in circulating tumor cells by mass spectrometry. Anal Chem. 2016;88:1378–1384. doi: 10.1021/acs.analchem.5b03962. [DOI] [PubMed] [Google Scholar]
  • 269.Gehrke CW, Kuo KC, Waalkes TP, Borek E. Patterns of urinary excretion of modified nucleosides. Cancer Res. 1979;39:1150–1153. [PubMed] [Google Scholar]
  • 270.Pei Y, Lou X, Li K, Xu X, Guo Y, Xu D, Yang Z, Xu D, Cui W, Zhang D. Peripheral blood leukocyte N6-methyladenosine is a noninvasive biomarker for non-small-cell lung carcinoma. Onco Targets Ther. 2020;13:11913–11921. doi: 10.2147/ott.S267344. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 271.He L, Li H, Wu A, Peng Y, Shu G, Yin G. Functions of N6-methyladenosine and its role in cancer. Mol Cancer. 2019;18:176. doi: 10.1186/s12943-019-1109-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 272.Li Z, Peng Y, Li J, Chen Z, Chen F, Tu J, Lin S, Wang H. N(6)-methyladenosine regulates glycolysis of cancer cells through PDK4. Nat Commun. 2020;11:2578. doi: 10.1038/s41467-020-16306-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 273.Mahapatra L, Andruska N, Mao C, Le J, Shapiro DJ. A novel IMP1 inhibitor, BTYNB, targets c-Myc and inhibits melanoma and ovarian cancer cell proliferation. Transl Oncol. 2017;10:818–827. doi: 10.1016/j.tranon.2017.07.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 274.Selberg S, Blokhina D, Aatonen M, Koivisto P, Siltanen A, Mervaala E, Kankuri E, Karelson M. Discovery of small molecules that activate RNA methylation through cooperative binding to the METTL3-14-WTAP complex active site. Cell Rep. 2019;26:3762–3771. doi: 10.1016/j.celrep.2019.02.100. [DOI] [PubMed] [Google Scholar]
  • 275.Xiao L, Li X, Mu Z, Zhou J, Zhou P, Xie C, Jiang S. FTO inhibition enhances the antitumor effect of temozolomide by targeting MYC-miR-155/23a cluster-MXI1 feedback circuit in glioma. Cancer Res. 2020;80:3945–3958. doi: 10.1158/0008-5472.Can-20-0132. [DOI] [PubMed] [Google Scholar]
  • 276.Huang Y, Yan J, Li Q, Li J, Gong S, Zhou H, Gan J, Jiang H, Jia GF, Luo C, Yang CG. Meclofenamic acid selectively inhibits FTO demethylation of m6A over ALKBH5. Nucleic Acids Res. 2015;43:373–384. doi: 10.1093/nar/gku1276. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 277.Fustin JM, Doi M, Yamaguchi Y, Hida H, Nishimura S, Yoshida M, Isagawa T, Morioka MS, Kakeya H, Manabe I, Okamura H. RNA-methylation-dependent RNA processing controls the speed of the circadian clock. Cell. 2013;155:793–806. doi: 10.1016/j.cell.2013.10.026. [DOI] [PubMed] [Google Scholar]
  • 278.Zhang J, Tsoi H, Li X, Wang H, Gao J, Wang K, Go MY, Ng SC, Chan FK, Sung JJ, Yu J. Carbonic anhydrase IV inhibits colon cancer development by inhibiting the Wnt signalling pathway through targeting the WTAP-WT1-TBL1 axis. Gut. 2016;65:1482–1493. doi: 10.1136/gutjnl-2014-308614. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 279.Liu S, Li Q, Li G, Zhang Q, Zhuo L, Han X, Zhang M, Chen X, Pan T, Yan L, et al. The mechanism of m(6)A methyltransferase METTL3-mediated autophagy in reversing gefitinib resistance in NSCLC cells by β-elemene. Cell Death Dis. 2020;11:969. doi: 10.1038/s41419-020-03148-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 280.Sun YM, Chen YQ. Principles and innovative technologies for decrypting noncoding RNAs: from discovery and functional prediction to clinical application. J Hematol Oncol. 2020;13:109. doi: 10.1186/s13045-020-00945-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 281.He H, Wu W, Sun Z, Chai L. MiR-4429 prevented gastric cancer progression through targeting METTL3 to inhibit m(6)A-caused stabilization of SEC62. Biochem Biophys Res Commun. 2019;517:581–587. doi: 10.1016/j.bbrc.2019.07.058. [DOI] [PubMed] [Google Scholar]
  • 282.Cui X, Wang Z, Li J, Zhu J, Ren Z, Zhang D, Zhao W, Fan Y, Zhang D, Sun R. Cross talk between RNA N6-methyladenosine methyltransferase-like 3 and miR-186 regulates hepatoblastoma progression through Wnt/β-catenin signalling pathway. Cell Prolif. 2020;53:e12768. doi: 10.1111/cpr.12768. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 283.Wei W, Huo B, Shi X. miR-600 inhibits lung cancer via downregulating the expression of METTL3. Cancer Manag Res. 2019;11:1177–1187. doi: 10.2147/cmar.S181058. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 284.Wang WT, Han C, Sun YM, Chen TQ, Chen YQ. Noncoding RNAs in cancer therapy resistance and targeted drug development. J Hematol Oncol. 2019;12:55. doi: 10.1186/s13045-019-0748-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 285.Hao CC, Xu CY, Zhao XY, Luo JN, Wang G, Zhao LH, Ge X, Ge XF. Up-regulation of VANGL1 by IGF2BPs and miR-29b-3p attenuates the detrimental effect of irradiation on lung adenocarcinoma. J Exp Clin Cancer Res. 2020;39:256. doi: 10.1186/s13046-020-01772-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 286.Bagchi S, Yuan R, Engleman EG. Immune checkpoint inhibitors for the treatment of cancer: clinical impact and mechanisms of response and resistance. Annu Rev Pathol. 2021;16:223–249. doi: 10.1146/annurev-pathol-042020-042741. [DOI] [PubMed] [Google Scholar]
  • 287.Chen L, Han X. Anti-PD-1/PD-L1 therapy of human cancer: past, present, and future. J Clin Invest. 2015;125:3384–3391. doi: 10.1172/jci80011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 288.Wang L, Hui H, Agrawal K, Kang Y, Li N, Tang R, Yuan J, Rana TM. m(6) A RNA methyltransferases METTL3/14 regulate immune responses to anti-PD-1 therapy. Embo J. 2020;39:e104514. doi: 10.15252/embj.2020104514. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 289.Yang S, Wei J, Cui YH, Park G, Shah P, Deng Y, Aplin AE, Lu Z, Hwang S, He C, He YY. m(6)A mRNA demethylase FTO regulates melanoma tumorigenicity and response to anti-PD-1 blockade. Nat Commun. 2019;10:2782. doi: 10.1038/s41467-019-10669-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 290.Murugesan T, Rajajeyabalachandran G, Kumar S, Nagaraju S, Jegatheesan SK. Targeting HIF-2α as therapy for advanced cancers. Drug Discov Today. 2018;23:1444–1451. doi: 10.1016/j.drudis.2018.05.003. [DOI] [PubMed] [Google Scholar]
  • 291.Semenza GL. Hypoxia-inducible factors: mediators of cancer progression and targets for cancer therapy. Trends Pharmacol Sci. 2012;33:207–214. doi: 10.1016/j.tips.2012.01.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 292.Qian DZ, Kachhap SK, Collis SJ, Verheul HM, Carducci MA, Atadja P, Pili R. Class II histone deacetylases are associated with VHL-independent regulation of hypoxia-inducible factor 1 alpha. Cancer Res. 2006;66:8814–8821. doi: 10.1158/0008-5472.Can-05-4598. [DOI] [PubMed] [Google Scholar]
  • 293.Westerlund I, Shi Y, Toskas K, Fell SM, Li S, Surova O, Södersten E, Kogner P, Nyman U, Schlisio S, Holmberg J. Combined epigenetic and differentiation-based treatment inhibits neuroblastoma tumor growth and links HIF2α to tumor suppression. Proc Natl Acad Sci U S A. 2017;114:E6137–e6146. doi: 10.1073/pnas.1700655114. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 294.Nakazawa MS, Eisinger-Mathason TS, Sadri N, Ochocki JD, Gade TP, Amin RK, Simon MC. Epigenetic re-expression of HIF-2α suppresses soft tissue sarcoma growth. Nat Commun. 2016;7:10539. doi: 10.1038/ncomms10539. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 295.Xiang Y, Stine ZE, Xia J, Lu Y, O'Connor RS, Altman BJ, Hsieh AL, Gouw AM, Thomas AG, Gao P, et al. Targeted inhibition of tumor-specific glutaminase diminishes cell-autonomous tumorigenesis. J Clin Invest. 2015;125:2293–2306. doi: 10.1172/jci75836. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 296.Weinberg SE, Chandel NS. Targeting mitochondria metabolism for cancer therapy. Nat Chem Biol. 2015;11:9–15. doi: 10.1038/nchembio.1712. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 297.Birsoy K, Possemato R, Lorbeer FK, Bayraktar EC, Thiru P, Yucel B, Wang T, Chen WW, Clish CB, Sabatini DM. Metabolic determinants of cancer cell sensitivity to glucose limitation and biguanides. Nature. 2014;508:108–112. doi: 10.1038/nature13110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 298.Lin Y, Wei X, Jian Z, Zhang X. METTL3 expression is associated with glycolysis metabolism and sensitivity to glycolytic stress in hepatocellular carcinoma. Cancer Med. 2020;9:2859–2867. doi: 10.1002/cam4.2918. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 299.Chen H, Xiang Y, Yin Y, Peng J, Peng D, Li D, Kitazawa R, Tang Y, Yang J. The m6A methyltransferase METTL3 regulates autophagy and sensitivity to cisplatin by targeting ATG5 in seminoma. Transl Androl Urol. 2021;10:1711–1722. doi: 10.21037/tau-20-1411. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 300.Han S, Zhu L, Zhu Y, Meng Y, Li J, Song P, Yousafzai NA, Feng L, Chen M, Wang Y, et al. Targeting ATF4-dependent pro-survival autophagy to synergize glutaminolysis inhibition. Theranostics. 2021;11:8464–8479. doi: 10.7150/thno.60028. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 301.Rau K, Rösner L, Rentmeister A. Sequence-specific m(6)A demethylation in RNA by FTO fused to RCas9. RNA. 2019;25:1311–1323. doi: 10.1261/rna.070706.119. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 302.Li J, Chen Z, Chen F, Xie G, Ling Y, Peng Y, Lin Y, Luo N, Chiang CM, Wang H. Targeted mRNA demethylation using an engineered dCas13b-ALKBH5 fusion protein. Nucleic Acids Res. 2020;48:5684–5694. doi: 10.1093/nar/gkaa269. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 303.Pandey PR, Young KH, Kumar D, Jain N. RNA-mediated immunotherapy regulating tumor immune microenvironment: next wave of cancer therapeutics. Mol Cancer. 2022;21:58. doi: 10.1186/s12943-022-01528-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 304.Einstein JM, Perelis M, Chaim IA, Meena JK, Nussbacher JK, Tankka AT, Yee BA, Li H, Madrigal AA, Neill NJ, et al. Inhibition of YTHDF2 triggers proteotoxic cell death in MYC-driven breast cancer. Mol Cell. 2021;81:3048–3064. doi: 10.1016/j.molcel.2021.06.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 305.Zhang F, Guo J, Zhang Z, Duan M, Wang G, Qian Y, Zhao H, Yang Z, Jiang X. Application of engineered extracellular vesicles for targeted tumor therapy. J Biomed Sci. 2022;29:14. doi: 10.1186/s12929-022-00798-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 306.He G, Peng X, Wei S, Yang S, Li X, Huang M, Tang S, Jin H, Liu J, Zhang S, et al. Exosomes in the hypoxic TME: from release, uptake and biofunctions to clinical applications. Mol Cancer. 2022;21:19. doi: 10.1186/s12943-021-01440-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 307.Hou G, Zhao X, Li L, Yang Q, Liu X, Huang C, Lu R, Chen R, Wang Y, Jiang B, Yu J. SUMOylation of YTHDF2 promotes mRNA degradation and cancer progression by increasing its binding affinity with m6A-modified mRNAs. Nucleic Acids Res. 2021;49:2859–2877. doi: 10.1093/nar/gkab065. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 308.Tian QH, Zhang MF, Zeng JS, Luo RG, Wen Y, Chen J, Gan LG, Xiong JP. METTL1 overexpression is correlated with poor prognosis and promotes hepatocellular carcinoma via PTEN. J Mol Med (Berl) 2019;97:1535–1545. doi: 10.1007/s00109-019-01830-9. [DOI] [PubMed] [Google Scholar]
  • 309.Luo G, Xu W, Zhao Y, Jin S, Wang S, Liu Q, Chen X, Wang J, Dong F, Hu DN, et al. RNA m(6) A methylation regulates uveal melanoma cell proliferation, migration, and invasion by targeting c-Met. J Cell Physiol. 2020;235:7107–7119. doi: 10.1002/jcp.29608. [DOI] [PubMed] [Google Scholar]
  • 310.Li J, Xie H, Ying Y, Chen H, Yan H, He L, Xu M, Xu X, Liang Z, Liu B, et al. YTHDF2 mediates the mRNA degradation of the tumor suppressors to induce AKT phosphorylation in N6-methyladenosine-dependent way in prostate cancer. Mol Cancer. 2020;19:152. doi: 10.1186/s12943-020-01267-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 311.Zhu H, Gan X, Jiang X, Diao S, Wu H, Hu J. ALKBH5 inhibited autophagy of epithelial ovarian cancer through miR-7 and BCL-2. J Exp Clin Cancer Res. 2019;38:163. doi: 10.1186/s13046-019-1159-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 312.Cassim S, Pouyssegur J. Tumor microenvironment: a metabolic player that shapes the immune response. Int J Mol Sci. 2019 doi: 10.3390/ijms21010157. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 313.Li H, Su Q, Li B, Lan L, Wang C, Li W, Wang G, Chen W, He Y, Zhang C. High expression of WTAP leads to poor prognosis of gastric cancer by influencing tumour-associated T lymphocyte infiltration. J Cell Mol Med. 2020;24:4452–4465. doi: 10.1111/jcmm.15104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 314.Luo Y, Sun Y, Li L, Mao Y. METTL3 may regulate testicular germ cell tumors through EMT and immune pathways. Cell Transplant. 2020;29:963689720946653. doi: 10.1177/0963689720946653. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 315.Song Z, Jia G, Ma P, Cang S. Exosomal miR-4443 promotes cisplatin resistance in non-small cell lung carcinoma by regulating FSP1 m6A modification-mediated ferroptosis. Life Sci. 2021;276:119399. doi: 10.1016/j.lfs.2021.119399. [DOI] [PubMed] [Google Scholar]
  • 316.Chao Y, Shang J, Ji W. ALKBH5-m(6)A-FOXM1 signaling axis promotes proliferation and invasion of lung adenocarcinoma cells under intermittent hypoxia. Biochem Biophys Res Commun. 2020;521:499–506. doi: 10.1016/j.bbrc.2019.10.145. [DOI] [PubMed] [Google Scholar]
  • 317.Chen Y, Peng C, Chen J, Chen D, Yang B, He B, Hu W, Zhang Y, Liu H, Dai L, et al. WTAP facilitates progression of hepatocellular carcinoma via m6A-HuR-dependent epigenetic silencing of ETS1. Mol Cancer. 2019;18:127. doi: 10.1186/s12943-019-1053-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 318.Müller S, Bley N, Busch B, Glaß M, Lederer M, Misiak C, Fuchs T, Wedler A, Haase J, Bertoldo JB, et al. The oncofetal RNA-binding protein IGF2BP1 is a druggable, post-transcriptional super-enhancer of E2F-driven gene expression in cancer. Nucleic Acids Res. 2020;48:8576–8590. doi: 10.1093/nar/gkaa653. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 319.Guo J, Wu Y, Du J, Yang L, Chen W, Gong K, Dai J, Miao S, Jin D, Xi S. Deregulation of UBE2C-mediated autophagy repression aggravates NSCLC progression. Oncogenesis. 2018;7:49. doi: 10.1038/s41389-018-0054-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 320.Zhao L, Kong X, Zhong W, Wang Y, Li P. FTO accelerates ovarian cancer cell growth by promoting proliferation, inhibiting apoptosis, and activating autophagy. Pathol Res Pract. 2020;216:153042. doi: 10.1016/j.prp.2020.153042. [DOI] [PubMed] [Google Scholar]
  • 321.Yue C, Chen J, Li Z, Li L, Chen J, Guo Y. microRNA-96 promotes occurrence and progression of colorectal cancer via regulation of the AMPKα2-FTO-m6A/MYC axis. J Exp Clin Cancer Res. 2020;39:240. doi: 10.1186/s13046-020-01731-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 322.Guo X, Li K, Jiang W, Hu Y, Xiao W, Huang Y, Feng Y, Pan Q, Wan R. RNA demethylase ALKBH5 prevents pancreatic cancer progression by posttranscriptional activation of PER1 in an m6A-YTHDF2-dependent manner. Mol Cancer. 2020;19:91. doi: 10.1186/s12943-020-01158-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 323.Nie S, Zhang L, Liu J, Wan Y, Jiang Y, Yang J, Sun R, Ma X, Sun G, Meng H, et al. ALKBH5-HOXA10 loop-mediated JAK2 m6A demethylation and cisplatin resistance in epithelial ovarian cancer. J Exp Clin Cancer Res. 2021;40:284. doi: 10.1186/s13046-021-02088-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 324.Li J, Chen F, Peng Y, Lv Z, Lin X, Chen Z, Wang H. N6-methyladenosine regulates the expression and secretion of TGFβ1 to affect the epithelial-mesenchymal transition of cancer cells. Cells. 2020 doi: 10.3390/cells9020296. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 325.Yue B, Song C, Yang L, Cui R, Cheng X, Zhang Z, Zhao G. METTL3-mediated N6-methyladenosine modification is critical for epithelial-mesenchymal transition and metastasis of gastric cancer. Mol Cancer. 2019;18:142. doi: 10.1186/s12943-019-1065-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 326.Lin X, Chai G, Wu Y, Li J, Chen F, Liu J, Luo G, Tauler J, Du J, Lin S, et al. RNA m(6)A methylation regulates the epithelial mesenchymal transition of cancer cells and translation of Snail. Nat Commun. 2019;10:2065. doi: 10.1038/s41467-019-09865-9. [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
  • 327.Wanna-Udom S, Terashima M, Lyu H, Ishimura A, Takino T, Sakari M, Tsukahara T, Suzuki T. The m6A methyltransferase METTL3 contributes to transforming growth factor-beta-induced epithelial-mesenchymal transition of lung cancer cells through the regulation of JUNB. Biochem Biophys Res Commun. 2020;524:150–155. doi: 10.1016/j.bbrc.2020.01.042. [DOI] [PubMed] [Google Scholar]
  • 328.Hua W, Zhao Y, Jin X, Yu D, He J, Xie D, Duan P. METTL3 promotes ovarian carcinoma growth and invasion through the regulation of AXL translation and epithelial to mesenchymal transition. Gynecol Oncol. 2018;151:356–365. doi: 10.1016/j.ygyno.2018.09.015. [DOI] [PubMed] [Google Scholar]
  • 329.Chen Y, Wu R, Chen W, Liu Y, Liao X, Zeng B, Guo G, Lou F, Xiang Y, Wang Y, Wang X. Curcumin prevents obesity by targeting TRAF4-induced ubiquitylation in m(6) A-dependent manner. EMBO Rep. 2021;22:e52146. doi: 10.15252/embr.202052146. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 330.Xu W, Xie S, Chen X, Pan S, Qian H, Zhu X. Effects of quercetin on the efficacy of various chemotherapeutic drugs in cervical cancer cells. Drug Des Dev Ther. 2021;15:577–588. doi: 10.2147/dddt.S291865. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 331.Lai W, Jia J, Yan B, Jiang Y, Shi Y, Chen L, Mao C, Liu X, Tang H, Gao M, et al. Baicalin hydrate inhibits cancer progression in nasopharyngeal carcinoma by affecting genome instability and splicing. Oncotarget. 2018;9:901–914. doi: 10.18632/oncotarget.22868. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 332.Sun K, Du Y, Hou Y, Zhao M, Li J, Du Y, Zhang L, Chen C, Yang H, Yan F, Su R. Saikosaponin D exhibits anti-leukemic activity by targeting FTO/m(6)A signaling. Theranostics. 2021;11:5831–5846. doi: 10.7150/thno.55574. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 333.Chen WW, Qi JW, Hang Y, Wu JX, Zhou XX, Chen JZ, Wang J, Wang HH. Simvastatin is beneficial to lung cancer progression by inducing METTL3-induced m6A modification on EZH2 mRNA. Eur Rev Med Pharmacol Sci. 2020;24:4263–4270. doi: 10.26355/eurrev_202004_21006. [DOI] [PubMed] [Google Scholar]
  • 334.Wei J, Yin Y, Zhou J, Chen H, Peng J, Yang J, Tang Y. METTL3 potentiates resistance to cisplatin through m(6) A modification of TFAP2C in seminoma. J Cell Mol Med. 2020;24:11366–11380. doi: 10.1111/jcmm.15738. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 335.Liu X, Su K, Sun X, Jiang Y, Wang L, Hu C, Zhang C, Lu M, Du X, Xing B. Sec62 promotes stemness and chemoresistance of human colorectal cancer through activating Wnt/β-catenin pathway. J Exp Clin Cancer Res. 2021;40:132. doi: 10.1186/s13046-021-01934-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 336.Sun Y, Li S, Yu W, Zhao Z, Gao J, Chen C, Wei M, Liu T, Li L, Liu L. N(6)-methyladenosine-dependent pri-miR-17-92 maturation suppresses PTEN/TMEM127 and promotes sensitivity to everolimus in gastric cancer. Cell Death Dis. 2020;11:836. doi: 10.1038/s41419-020-03049-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 337.Yankova E, Blackaby W, Albertella M, Rak J, De Braekeleer E, Tsagkogeorga G, Pilka ES, Aspris D, Leggate D, Hendrick AG, et al. Small-molecule inhibition of METTL3 as a strategy against myeloid leukaemia. Nature. 2021;593:597–601. doi: 10.1038/s41586-021-03536-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 338.Malacrida A, Rivara M, Di Domizio A, Cislaghi G, Miloso M, Zuliani V, Nicolini G. 3D proteome-wide scale screening and activity evaluation of a new ALKBH5 inhibitor in U87 glioblastoma cell line. Bioorg Med Chem. 2020;28:115300. doi: 10.1016/j.bmc.2019.115300. [DOI] [PubMed] [Google Scholar]
  • 339.Yan F, Al-Kali A, Zhang Z, Liu J, Pang J, Zhao N, He C, Litzow MR, Liu S. A dynamic N(6)-methyladenosine methylome regulates intrinsic and acquired resistance to tyrosine kinase inhibitors. Cell Res. 2018;28:1062–1076. doi: 10.1038/s41422-018-0097-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 340.Wang SS, Lv Y, Xu XC, Zuo Y, Song Y, Wu GP, Lu PH, Zhang ZQ, Chen MB. Triptonide inhibits human nasopharyngeal carcinoma cell growth via disrupting Lnc-RNA THOR-IGF2BP1 signaling. Cancer Lett. 2019;443:13–24. doi: 10.1016/j.canlet.2018.11.028. [DOI] [PubMed] [Google Scholar]
  • 341.Zhang Y, Liu X, Yu M, Xu M, Xiao Y, Ma W, Huang L, Li X, Ye X. Berberine inhibits proliferation and induces G0/G1 phase arrest in colorectal cancer cells by downregulating IGF2BP3. Life Sci. 2020;260:118413. doi: 10.1016/j.lfs.2020.118413. [DOI] [PubMed] [Google Scholar]
  • 342.Mancarella C, Pasello M, Ventura S, Grilli A, Calzolari L, Toracchio L, Lollini PL, Donati DM, Picci P, Ferrari S, Scotlandi K. Insulin-like growth factor 2 mRNA-binding protein 3 is a novel post-transcriptional regulator of ewing sarcoma malignancy. Clin Cancer Res. 2018;24:3704–3716. doi: 10.1158/1078-0432.Ccr-17-2602. [DOI] [PubMed] [Google Scholar]
  • 343.Dahlem C, Abuhaliema A, Kessler SM, Kröhler T, Zoller BGE, Chanda S, Wu Y, Both S, Müller F, Lepikhov K, et al. First small-molecule inhibitors targeting the RNA-binding protein IGF2BP2/IMP2 for cancer therapy. ACS Chem Biol. 2022;17:361–375. doi: 10.1021/acschembio.1c00833. [DOI] [PubMed] [Google Scholar]
  • 344.Ding N, You A, Tian W, Gu L, Deng D. Chidamide increases the sensitivity of non-small cell lung cancer to crizotinib by decreasing c-MET mRNA methylation. Int J Biol Sci. 2020;16:2595–2611. doi: 10.7150/ijbs.45886. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Citations

  1. Feng S, Qiu G, Yang L, Feng L, Fan X, Ren F, Huang K, Chen Y. 2021. Omeprazole improves chemosensitivity of gastric cancer cells by m6A demethylase FTO-mediated activation of mTORC1 and DDIT3 up-regulation. Biosci Rep. [DOI] [PMC free article] [PubMed]

Data Availability Statement

Not applicable.


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