Abstract
The dynamic evolution of tumor microenvironment (TME) is the core of cancer progression. N6-methyladenosine (m6A) modification and exosome transport are key layers of post-transcriptional gene regulation and intercellular communication, respectively. However, the intersection of these two systems, namely the transportation of m6A modified bioactive cargoes through exosomes and reshaping of TME, still lacks systematic sorting. This review aims to fill this gap. Through systematic searches of PubMed, Scopus, and Web of Science, we identified 21 original preclinical studies focused on this area over the past five years. By analyzing these literature, a conceptual framework for the “m6A-exosome axis” was established for the first time, and how it mediates TME and its effects were elucidated. We found that bioactive molecules modified with m6A can be transported to TME through exosomes. During this process, these molecules can reshape existing stromal cells and immune cells, activate tumor associated cytokines, and regulate the malignant phenotype of tumor cells. This TME remodeling further affects pathological processes such as tumor angiogenesis, epithelial mesenchymal transition (EMT), immune escape, metastasis, and drug resistance. These findings indicate that the key components of this axis not only serve as potential biomarker candidates, but also represent a promising preclinical therapeutic target. Targeting this axis provides an innovative combination strategy framework for overcoming tumor growth and metastasis.
Supplementary Information
The online version contains supplementary material available at 10.1007/s12672-026-05060-7.
Keywords: m6A, Exosome, Tumor microenvironment, Cancer, RNA, Protein, Biomarker, Targeted therapy
Introduction
The tumor microenvironment (TME) is the setting where tumor cells develop [1]. This ecosystem encompasses not only the tumor cells but also their surrounding cellular environment, which includes various cell types such as immune-suppressive cells like cancer associated fibroblasts(CAFs), tumor-associated macrophages, immune and inflammatory cells, as well as the extracellular matrix (ECM), microvascular network, and biomolecules from adjacent regions [2, 3]. Compared to the typical microenvironment, the TME is characterized by reduced oxygen levels, acidic buildup, and an unusual immune milieu. The TME interacts with tumor cells, significantly influencing tumor growth, immune escape, metastasis, and drug resistance. As a multifaceted signaling network, the TME presents numerous cellular and molecular pathways amenable to targeted intervention. Key strategies for anti-tumor therapy encompass the inhibition of tumor-related pathways within the TME, the attenuation of cells that promote tumor growth, and the enhancement of anti-tumor immunity. These approaches are implemented in conjunction with traditional treatments, including surgery, radiotherapy and chemotherapy [1, 4].
There are over 100 chemical alterations in RNA, and methylation is the primary modification found in every type of RNA [5]. Methylation of RNA accounts for more than 60% of RNA alterations, with N6-methyladenosine (m6A) emerging as the primary modification in eukaryotic organisms, essential for controlling gene expression at the post-transcriptional level. M6A is predominantly present in mRNA’s protein-coding regions, the 3’ UTR, the area surrounding the stop codon, and in long exons [6, 7]. In tumor progression, m6A modification not only broadly influences the splicing, stability, and translation of coding gene mRNAs but also profoundly regulates the biogenesis and function of various non-coding RNAs (ncRNAs), such as microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and circular RNAs (circRNAs). By these means, m6A modifications affect tumor angiogenesis, ECM remodeling, epithelial-mesenchymal transition (EMT), and immune microenvironment regulation, transforming the TME and encouraging tumor formation and metastasis [8, 9].
Exosomes, approximately 30–150 nanometers in diameter, belong to a category of extracellular vesicles characterized by a bilayer lipid membrane structure [10]. In both disease and normal states, nearly all cells, including cancer cells, release exosomes that spread throughout the body through metabolic routes [10, 11]. As important mediators of intercellular communication, the lipid bilayer membrane of exosomes effectively protects the bioactive substances encapsulated inside, ensuring that their structure remains intact during delivery and successfully reaches the target cells [12]. Furthermore, distinct proteins found on exosomes’ surface, like tetraspanins and integrins, serve as “molecular markers,” identifying and attaching to receptors on particular target cells for accurate cell-to-cell transfer [13, 14]. Based on the above characteristics of exosome, they are not only carriers of endogenous biomolecules, but also a highly promising engineering drug delivery platform. Two new types of therapeutic peptides have been developed in recent research, providing ideal payloads for exosome loading. Firstly, the “mirror peptide” composed of D-amino acids has excellent protease resistance and low immunogenicity, which can precisely interfere with key protein interactions in the TME [15]. Secondly, optimized oncolytic peptides not only retain efficient membrane lysis activity and induce immunogenic cell death, but also significantly enhance their stability and persistence of action [16]. Loading peptides with stable structures and clear mechanisms into exosome is expected to construct a novel targeted delivery system: exosome can enrich towards tumor sites through their surface labeling, while the therapeutic molecules they carry can be precisely released and exert their effects in the TME, thereby synergistically overcoming microenvironmental barriers and achieving more efficient and long-lasting anti-tumor effects. This provides a new fusion strategy for tumor targeted therapy based on exosome and TME regulation.
Based on the key roles of m6A modification and exosome transport, the functional intersection of the two, namely the intercellular transmission of m6A modified bioactive molecules through exosome, has received much attention in recent years. This dynamic process constitutes an emerging core regulatory mechanism, which is defined in this article as the “m6A-exosome axis.” This axis constitutes a key bridge for bidirectional communication between tumor cells and various cells in the microenvironment, such as immune cells, fibroblasts, endothelial cells, etc. Both parties transmit m6A modified regulatory information to each other through exosomes, thereby synergistically driving the systemic remodeling of TME. This review aims to systematically elucidate the key role of the “m6A-exosome axis” in reshaping the TME. We will first outline the basic roles of m6A modification and exosomes in cancer, and then focus on the key bioactive substances regulated by m6A and transmitted through exosomes, analyzing in depth how they affect core processes such as angiogenesis, EMT, immune escape, metabolic reprogramming, and treatment resistance. Finally, we will explore the translational potential of this axis as a novel biomarker and therapeutic target.
Materials and methods
Methods
This review aims to comprehensively explore the impact of bioactive substances modified by m6A on the TME after being transported via exosomes. The design and reporting of the search strategy follow the Systematic Reviews and Meta-Analyses (PRISMA) guidelines for systematic reviews [17].
Search strategy
This study conducted an electronic search in three major databases: PubMed, Scopus, and Web of Science. The search keywords included m6A modification, exosomes, extracellular vesicles, tumor, cancer and related mesh keywords, covering the past five years up to January 30, 2026. The search used a combination of controlled vocabulary and MeSH terms, appearing in titles, abstracts, and/or subject fields. The terms were appropriately combined using the Boolean operators ‘AND’. Reference lists of included studies were also screened manually to identify additional relevant articles.
Eligibility criteria
All original clinical/preclinical studies, if written in English and focused on the impact of m6A modified bioactive substances transported by exosomes on the TME, will be included in the analysis. Review articles, book chapters, conference abstracts, news, books, editorials, letters, commentaries, and notes were excluded from the final analysis and investigation through screening. In addition, if the study does not clearly state that m6A modification regulates bioactive substances or is not transported by exosomes or affects cancer, it is also excluded.
Selection process
All articles extracted through a systematic search were imported into EndNote 21. After removing duplicates, two researchers independently performed the primary and secondary screening, and any discrepancies were resolved by consulting with a third researcher.
Quality/bias assessment
The risk of bias for each included study was assessed using SYRCLE’s Risk of Bias tool, which comprises 10 questions in the domains of sequence generation, baseline characteristics, allocation concealment, random housing, blinding, random outcome assessment, incomplete outcome data, selective outcome reporting, and other sources of bias [18]. Based on the information provided in each study, including whether the experiments were in vitro or in vivo, we constructed two separate tables. The first table summarizes the analysis of the in vitro sections, while the second table presents the analysis of the in vivo sections of the included studies (the detailed results are provided in the supplementary file 1).
Result
As of January 30, 2026, we have retrieved a total of 212 articles in PubMed, Scopus, and Web of Science databases. After preliminary screening, 97 duplicate articles were removed, and the remaining 115 articles entered the main screening stage through title and abstract verification. After excluding 89 articles at this stage, the final 26 articles entered full-text screening, of which 22 met the inclusion criteria, but one article could not obtain the full text due to withdrawal [19]. The latest systematic review includes a total of 21 articles. Figure 1 demonstrates the Prism diagram of the mentioned process.
Fig. 1.

PRISMA flow diagram of the literature search
M6A modification and cancer
M6A regulators are classified into three groups: writers, erasers, and readers. The methyltransferase complex [20], known as writers, catalyzes m6A. The demethylase, referred to as an eraser, removes m6A. The RNA reader protein recognizes m6A, binds to the RNA, and carries out corresponding functions. The interaction among writers, erasers, and readers plays a role in cancer development and progression [21, 22].
The primary components of the “writers” of m6A are methyltransferase-like 3 (METTL3), methyltransferase-like 14 (METTL14), and the cofactor WTAP (Wilms’ tumor 1-associated protein) [8]. Among them, METTL3 serves as the main catalyst, while METTL14 provides the RNA binding structure. WTAP is the third essential part of this complex. Due to the absence of a conserved methylation catalytic domain, WTAP is not capable of catalyzing m6A modification. However, as an adaptor protein, it significantly influences the loading of m6A on RNA inside cells by interacting with METTL3 and METTL14 [23]. Moreover, proteins like METTL7 [24], RNA-binding motif protein 15 (RBM15), along with their homologues RBM15B [25] and Zinc finger CCCH-type containing 13 (ZC3H13) [26], have been identified as integral components of the m6A methyltransferase complex, which is essential for m6A methylation.
Methyl erasers, such as fat mass and obesity-associated gene (FTO) and AlkB homolog 5 (ALKBH5), play a role in the demethylation of m6A. FTO transforms N-methyl into hydroxymethyl groups at the m6A site [27]. ALKBH5, located near nuclear speckles and responsive to RNaseA, can eliminate methyl groups from 6-methylated adenosine, showing a preference for demethylating particular m6A-modified single-stranded RNA [28].
In addition to “writers” and “erasers,” there is another essential group in m6A known as “readers”. These can identify modifications and bind to them. Various readers can carry out distinct biological roles. Among the m6A readers, the most notable are the YTH domain family (YTHDF) 1–3 and the insulin-like growth factor 2 mRNA-binding proteins 1/2/3 (IGF2BP1/2/3) [29]. YTHDF2 is the most extensively researched m6A reader. It facilitates the degradation of m6A-dependent RNA under both normal and stress conditions [30]. YTHDF1 attaches to the m6A site near the stop codon and boosts RNA translation efficiency by interacting with eukaryotic initiation factor 3 (eIF3). In contrast to the YTHDF family, which primarily regulates Precursor mRNA splicing and translation, the IGF2BP family “readers” are tasked with recruiting RNA stabilizers to boost mRNA stability, influencing tumor growth [31]. Moreover, the “readers” of m6A modification encompass several critical proteins, including YTHDC1 and YTHDC2 [32, 33], which contain YTH domains, as well as members of the heterogeneous nuclear ribonucleoprotein family (HNRNPC, HNRNPA2B1) [34, 35], eIF3 [36], and the embryonic lethal abnormal vision-like protein 1 [37]. Each of these proteins plays a significant role in the function of m6A.
The expression and functional abnormalities of m6A regulatory factors are prevalent across various cancer types, significantly influencing tumor occurrence, progression, metastasis, and treatment response by disrupting the normal metabolism of target RNA [38]. Table 1 presents representative examples of dysregulation of m6A regulatory factors in different cancers. Overall, m6A dysregulation primarily affects tumors through two core mechanisms. One is the Pro-cancer mode, When the writer (such as METTL3) is overactive or the eraser (such as FTO) is inactivated, this may result in an abnormal increase in m6A levels in oncogene transcripts. These modified transcripts are subsequently recognized and stabilized by specific readers (such as IGF2BP2/3), leading to their overexpression. Conversely, excessive methylation of tumor suppressor gene transcription, followed by degradation by readers (such as YTHDF2), also promotes tumor development. The second is the Tumor suppression mode, in certain specific cellular environments, m6A modification can exert tumor-suppressive effects. For instance, if the function of a writer is lost or the function of an eraser is gained, resulting in decreased stability of key oncogene transcripts, this may yield anti-cancer effects.
Table 1.
Roles of m6A in cancer
| Cancer types | Dysregulated m6A | Target RNA | Reader | Change of target | Roles of m6A in cancer | References |
|---|---|---|---|---|---|---|
| Regulators in cancer | Protein | RNA level | ||||
| AML | METTL14↑ | MYC、MYB mRNA | ELF3 | ↑ | Promotes tumorigenesis | [39] |
| HCC | METTL3↑ | SOCS2 mRNA | YTHDF2 | ↓ | Promotes tumor growth and metastasis | [40] |
| METTL3/METTL14↑ | CircSORE | YTHDF1/2 | ↑ | Promotes drug resistance | [41] | |
| BC | FTO↑ | BNIP3 mRNA | YTHDF2 | ↓ | Promotes tumor growth and metastasis | [42] |
| EC | WTAP↓ | EGR1 mRNA | IGF2BP3 | ↓ | Increases the aggressiveness of cancer | [43] |
| OS | ALKBH5↑ | LncRNA PVT1 | YTHDF2 | ↑ | Promotes tumor progression | [44] |
| CRC | METTL14↓ | LncRNA XIST | YTHDF2 | ↑ | Promotes tumor growth and metastasis | [45] |
| ALKBH5↓ | Circ3823 | YTHDF3 | ↑ | Promotes tumor growth, metastasis | [46] | |
| ALKBH5↓ | CircXPO1 | IGF2BP2 | ↑ | Promotes tumor growth, metastasis and EMT generation | [47] | |
| NSCLC | METTL3↑ | CircIGF2BP3 | YTHDC1 | ↑ | Promotes immune evasion | [48] |
| OC | METTL3/METTL14↑ | CircNFIX | IGF2BP1-3 | ↑ | Promotes angiogenesis and immune | [49] |
| escape | ||||||
| BCa | METTL3↑ | MiR221/222 | HNRNPA2B1 | ↑ | Promotes tumor proliferation | [35, 50] |
↑, indicates upregulation or increased level; ↓, indicates downregulation or decreased level; AML acute myeloid leukemia; HCC hepatocellular carcinoma, BC breast cancer, EC endometrial cancer, OS osteosarcoma, CRC colorectal cancer, NSCLC non-small cell lung cancer, OC ovarian cancer, BCa bladder cancer, EMT epithelial mesenchymal transition
In addition, A critical aspect of m6A regulatory function is its “context dependency.” The same regulatory factor can exhibit opposing roles across different cancers. For instance, METTL3 is frequently identified as an oncogene in hepatocellular carcinoma (HCC), lung cancer (LC), and bladder cancer (BCa) [35, 40, 41, 48, 50]. However, in certain contexts of colorectal cancer (CRC), downregulation of its homolog METTL14 demonstrates a pro-cancer effect [45]. Similarly, the demethylase ALKBH5 acts as an oncogene in osteosarcoma (OS) [44]. whereas its reduced expression correlates with poor prognosis in CRC [47]. These observations clearly suggest that the ultimate biological impact of m6A modification is not solely dictated by the regulatory factor itself, but rather hinges on whether the key target RNA it modifies functions as an oncogene or a tumor suppressor gene within a specific cellular environment.
Exosomes and cancer
The TME is recognized for its significant heterogeneity, comprising tumor cells, diverse stromal cells, and their surrounding microenvironment. During tumor growth and spread, tumor cells interact with the entire TME rather than acting independently [51, 52]. Increasing evidence suggests that exosomes play a crucial role in regulating the TME [53]. As key facilitators of cell-to-cell communication, exosomes influence cancer progression by transporting bioactive molecules [54, 55]. Exosomes transport various bioactive cargoes, including nucleic acids, lipids, proteins, metabolites, cytokines, and growth factors [56]. Exosome become key mediators in regulating multiple core processes of tumor progression by transporting these bioactive substances [56, 57]. As summarized in Fig. 2, these exosomal cargoes can be delivered to various receptor cells within the TME, thereby synergistically regulating tumor proliferation, angiogenesis, EMT, immune function, metabolism, and even therapeutic response. Among these goods, RNA and protein are the two most widely studied categories.
Fig. 2.

Role of exosomes in cancer. Exosome regulate tumor proliferation, activate angiogenesis, regulate the immune system, affect tumor drug resistance and cancer metabolism through autocrine/paracrine pathways, thereby promoting cancer progression and metastasis. For example, exosome can transmit growth signals and oncogenic transcripts, promoting tumor cell growth. In addition, exosomes containing pro angiogenic factors (such as VEGF, Vascular endothelial growth factor) and epithelial mesenchymal transition inducing factors (such as TGF-β, transforming growth factor-beta) can activate endothelial cells and enhance the invasive and migratory abilities of tumor cells, respectively. Furthermore, exosomes carrying immunosuppressive molecules such as Programmed Death-ligand 1 (PD-L1) and specific microRNAs (miRNAs) can inhibit the function of immune effector cells such as T cells, or induce macrophages to polarize towards M2, establishing an immunosuppressive microenvironment. In addition, exosome can also transport resistance related proteins (such as P-glycoprotein) or RNA, spreading resistance traits to sensitive cells. More importantly, exosome carrying enzymes or metabolites can also alter the metabolic pathways of recipient cells to meet the needs of tumor growth
RNA
Exosome-packaged RNA includes mRNA and ncRNA, both of which have important impacts on cancer development [58]. Current experimental studies indicate that exosome-carried mRNA holds potential for therapeutic applications, such as in gene editing, protein replacement therapy, cancer immunotherapy, and RNA-based vaccination [59, 60]. However, it is crucial to emphasize that most evidence remains preclinical, and its translation into clinical therapies is still speculative and requires further validation. Recent research indicates that the mRNA carried by exosomes also has a significant impact on the aggressiveness of cancer, as it influences cancer growth by regulating the metabolism and proliferation of cancer cells and resisting various anti-cancer therapies [61, 62]. NcRNA, another component of exosomal RNA, has emerged as a key focus in cancer research, with growing evidence of its involvement in various cancer-related processes [63]. The main roles include: the ncRNAs carried by exosomes affect the proliferation of cancer cells [64]; they influence cancer metastasis by regulating angiogenesis, EMT, and the formation of the pre-metastatic niche (PMN) [65–70]. For example, In LC, tumor cell-derived exosomes can deliver miR-5703 to tumor associated endothelial cells, promoting angiogenesis and EMT by targeting inhibitor of growth family member 4 [69]. M2 macrophage derived exosomes can drive angiogenesis through the HIF-1AN/HIF-1α/VEGFA axis [70]; they regulate immune responses by controlling immune cell function and activity, as well as the expression of immune checkpoint molecules [71–74].It is worth noting that T cells and macrophages are key components in the tumor immune microenvironment, and their functional status is directly regulated by exosome derived from the tumor. For example, MDA-MB-231 cell-derived exosome like nanovesicles can significantly affect the cytokine expression profile of CD4+ T cells, promoting their differentiation into pro-inflammatory phenotypes, suggesting that tumor vesicles have a direct role in T cell immune regulation [75]. Meanwhile, vesicles derived from M2 macrophages in the lungs can activate the second group of innate lymphocytes by delivering lncRNA 4930474H06Rik, exacerbating allergic airway inflammation [76]. These two studies revealed the vesicle mediated immune regulatory mechanisms from the perspectives of T cells and macrophages, respectively; and they enhance tumor drug resistance [77, 78]. Although significant progress has been made in the mechanism of action of ncRNAs derived from exosome in tumor development, their cross regulatory network with other key regulatory pathways, especially RNA m6A modification, is still in the preliminary exploration stage, and their synergistic or antagonistic mechanisms have not been systematically elucidated.
Protein
Exosomes are capable of transporting a diverse array of proteins, which play pivotal roles in tumor development despite their varied effects on cancer [79]. Among these proteins, exosomes can carry carbonic anhydrase 9, membrane-associated protein II, and WNT4, all of which are known to activate endothelial cells and facilitate tumor angiogenesis [80–82]. Angiogenesis is a complex process that allows tumors to form new blood vessels, which is vital for their growth and spread [83]. Additionally, exosomes transport proteins such as β-catenin and wave protein, which are involved in the EMT process, thereby enhancing the invasiveness and metastatic potential of tumor cells [84–86]. Furthermore, exosomal proteins can target stromal and immune cells, thereby reshaping the TME. For example, proteins like extracellular matrix metalloproteinase inducer and matrix metalloproteinases can activate fibroblasts, promote ECM remodeling, and release growth factors that support tumor growth and metastasis [87]. Immune regulatory proteins, such as exosomal programmed death-ligand 1 (PD-L1), can impede T cell activity and aid in avoiding immune responses [88, 89]. Importantly, exosomal proteins have been identified as key mediators of drug resistance. The direct proteomic evidence against drug resistance in CRC provides strong support for it. A proteomic analysis of exosomes derived from CRC cells resistant to butyrate (BR) revealed unique enrichment of proteins related to proteasome pathways in BR exosomes [90, 91]. In addition, other studies have shown that exosomes can convey drug resistance-related proteins, including P-glycoprotein, multidrug resistance protein 1, lung resistance protein, and multidrug resistance-associated protein, thereby enhancing the chemoresistance of tumor cells [92–95]. The functional diversity of exosome proteins highlights their pleiotropy in regulating TME. However, many studies have focused on individual protein candidate molecules rather than integrating them into broader signaling networks. In addition, the relative contribution of exosome proteins to RNA in driving specific phenotypes has not been fully explored.
Others
At present, multiple research teams have identified the presence of double-stranded DNA fragments and DNA mutations within exosomes [96]. Utilizing immunogold labeling techniques in conjunction with transmission electron microscopy, it has been demonstrated that certain exosomes retain DNA initially located in the cytoplasm prior to secretion [97]. Studies suggest that exosomal DNA is implicated in regulating cell survival and homeostasis, particularly in tumor cells. Blocking exosome release causes cytoplasmic accumulation of nuclear DNA, triggering DNA damage responses reliant on reactive oxygen species. This can result in cell cycle arrest or apoptosis [97]. Major angiogenesis-stimulating factors, including interleukin-8 (IL-8), platelet-derived growth factor, fibroblast growth factor (FGF), tumor necrosis factor-alpha, bFGF, and vascular endothelial growth factor (VEGF), are transported via exosomes, thereby facilitating tumor vascularization [98, 99]. Key elements of EMT, such as transforming growth factor-beta (TGF-β), IL-6, and hypoxia-inducible factor 1-α, can also be conveyed by exosomes, inducing tumor epithelial cells to undergo EMT, which subsequently leads to distal metastasis of the tumor [85, 86]. Furthermore, the role of exosomal metabolites in cancer is increasingly being recognized. Cancer-associated fibroblast-derived exosomes transport metabolic cargos, including amino acids, lipids, and tricarboxylic acid cycle intermediates. Upon uptake by prostate and pancreatic cancer cells, these exosomes enhance glycolysis and glutamine-dependent reductive carboxylation, thereby promoting tumor growth under conditions of nutrient deprivation or stress [100, 101].
Exosomes play a critical role in the initiation and progression of cancer, highlighting their significant therapeutic potential. However, current research lacks a comprehensive understanding of the specific functions of certain components (such as metabolites and DNA), and their complex biological effects and clinical applications require further investigation.
The impact of m6A modified cargo conveyed by exosomes on the TME
Exosomes, as key carriers of intercellular communication, can transport various bioactive substances modified by m6A, including miRNAs, lncRNAs, circRNAs, and proteins. The m6A modification profoundly influences the functions of these molecules after exosomal delivery by regulating their stability, processing maturity, translation efficiency, and sorting processes, thereby systematically reshaping the TME and driving malignant processes such as immune evasion, angiogenesis, metastasis, and drug resistance. To clearly present the common patterns of this complex network, the core regulatory modes and functional impacts of the four categories of substances are summarized in Table 2, followed by detailed elaboration and comparative analysis.
Table 2.
The impact of exosomal transport of m6A modification-related bioactive substances on the TME
| Category of bioactive substance | Main m6A regulators | Typical regulatory mechanism | Primary target cell types in TME | Overall biological effect on TME | Cancer types | References |
|---|---|---|---|---|---|---|
| miRNA | METTL3, | Promotes pri-miRNA | Lymphatic/ Vascular | Promotes lymphangiogenesis | ESCC | [106] |
| hnRNPA2B1 | processing and | Endothelial Cells, | /angiogenesis; induces M2 | GC, LC | [107, 108] | |
| maturation; Regulates | Macrophages, T cells | macrophage polarization; | LUAD | [109] | ||
| miRNA functional | inhibits T cell function | |||||
| activity | ||||||
| lncRNA | METTL3/7/14, | Regulating the stability | Tumor cells, | Regulates tumor cell proliferation | HCC | [110, 111] |
| ZC3H13, FTO, | degradation, and | Macrophages | and angiogenesis; induces M2 | GBC | [112] | |
| IGF2BP2/3 | sorting of lncRNAs in | Macrophage polarization; mediates | MM, BC | [113, 114] | ||
| exosome | chemotherapy resistance | O/LSCC | [115, 116] | |||
| PCa | [117] | |||||
| circRNA | METTL3/14, | promotes the | CD8 + T cells, | Induces T cell exhaustion; pro- | HCC | [118, 119] |
| WTAP, | translation and stability | Macrophages, | motes M2 macrophage polariza- | NSCLC | [120] | |
| IGF2BP3, | of circRNA | Tumor cells | tion; facilitates EMT; activates | BCa | [121] | |
| YTHDC1 | pro-oncogenic signaling pathways | |||||
| Protein | METTL3, FTO, | Enhances stability and | CD8 + T cells, | Inhibits T cell activity; induces M2 | HCC | [122] |
| ALKBH5, | translation efficiency | Macrophages, | macrophage polarization; | CCa | [123] | |
| IGF2BP2 | of target mRNA, | Tumor/Stromal cells | inactivates tumor suppressor | CRC | [124] | |
| leading to upregulated | proteins; directly regulates | ESCC | [125] | |||
| protein expression | transcription | LUAD | [126] |
ESCC esophageal squamous cell carcinoma, GC gastric cancer, LC lung cancer, LUAD lung adenocarcinoma, HCC hepatocellular carcinoma, GBC gallbladder cancer, MM multiple myeloma, BCbreast cancer, OSCC oral squamous cell carcinoma, LSCC laryngeal squamous cell carcinoma, PCa prostate cancer, NSCLC non-small cell lung cancer, BCa bladder cancer, CCa Cervical cancer, CRC colorectal cancer, TME tumor microenvironment, EMT epithelial mesenchymal transition
MiRNA
MiRNAs are small, ncRNA strands, 18–24 nucleotides in length, that control gene expression post-transcriptionally by creating RNA-induced silencing complexes (RISC) [102]. The m6A modification controls the biosynthesis and maturation of miRNAs [35, 103]. Initially, the DNA is transcribed into primary miRNAs (pri-miRNAs) in the nucleus, and then the microprocessor complex consisting of DiGeorge Cirtical Region 8 (DGCR8) and DROSHA processes pri-miRNAs to precursor miRNAs (pre-miRNAs). These pre-miRNAs are finally broken down into mature single-stranded miRNAs by the Dicer enzyme in the cytoplasm [104]. In this process, the transcriptional regulators METTL3 and hnRNPA2B1 play key roles. METTL3 modifies the pri-miRNAs by adding an m6A mark, and hnRNPA2B1 interacts with the m6A in pri-miRNAs, eventually recruiting DGCR8. In this way, DGCR8 is able to identify its substrates and bind to them, resulting in the enhanced production of miRNAs [35, 103]. In addition, studies have shown that hnRNPA2B1 can also regulate miRNA sorting in exosome [105].
Through this regulatory axis, METTL3-mediated m6A modification not only controls the maturation of specific miRNAs but also influences their subsequent loading into exosomes. According to the included preclinical studies, Once these exosomal miRNAs delivered to recipient cells in the TME, they execute distinct yet converging programs that collectively foster a pro-tumor niche. The most recurrent outcome is the induction of an immunosuppressive macrophage phenotype (M2 polarization). In cell model of gastric cancer (GC), METTL3-dependent maturation of the miR-17-92 cluster enables its exosomal transfer to peritoneal macrophages. There, it activates SRC signaling, leading to the production of immunosuppressive cytokines, inhibition of T-cell activity, and the establishment of a PMN. This suggests that it may promote peritoneal dissemination [107]. Similarly, In cell model of lung adenocarcinoma (LUAD), hnRNPA2B1-mediated m6A modification promotes the biogenesis and exosomal packaging of miR-3153, which, upon uptake by macrophages, drives M2 polarization via the JNK pathway, further contributing to an immunosuppressive TME [109].
A distinct but related mechanism is exemplified in vitro studies of LC, where METTL3-mediated m6A modification of miR-125a-5p does not alter its exosomal abundance but impairs its loading into the functional RISC. This “qualitative” defect diminishes its ability to suppress the immune-regulatory target Immunoglobulin superfamily member 11 (IGSF11). This is positively correlated with tumor immune escape [108]. This case underscores that m6A can regulate not only miRNA “quantity” but also its functional competence-a layer of control that may be missed by expression-level analyses alone. Beyond immune cells, exosomal m6A-modified miRNAs can directly activate other stromal compartments. In esophageal squamous cell carcinoma (ESCC) cells model, METTL3 guided maturation of miR-320b and its exosomal delivery to human lymphatic endothelial cells stimulates lymphangiogenesis. This suggests that it may promote lymphatic metastasis [106].
In summary, despite the diversity of cancer types (ESCC, GC, LC, LUAD) and specific miRNA molecules involved, the collected evidence reveals a convergent paradigm: the METTL3-initiated m6A-exosome-miRNA axis predominantly remodels the immune landscape of the TME. The most consistently observed outcomes are M2 macrophage polarization, functional impairment of adaptive immunity, and the fostering of pre-metastatic niches. These processes suggest the possibility of promoting immune suppression and metastasis. In addition, While the quantitative control of miRNA abundance remains the dominant reported mechanism, the qualitative regulation of miRNA activity (as in LC) presents an important, though less validated, dimension. Future studies are needed to systematically test the generality of these patterns across broader cancer contexts and to elucidate the precise molecular cascades that link m6A-modified exosomal cargo to specific TME alterations.
LncRNA
LncRNAs are transcripts exceeding 200 nucleotides in length [127]. They can serve as prognostic biomarkers and regulatory factors for the TME [128]. Its value may stem from different molecular sources. For example, lncRNA expression features from specific biological processes such as copper dependent cell death have been shown to robustly predict patient survival and immune therapy response in cancers such as oral squamous cell carcinoma (OSCC) [129]. In addition, the post transcriptional fate and function of many lncRNAs are also heavily influenced by epigenetic transcriptional modifications, most notably m6A. The m6A modification determines their fate after exosomal delivery by regulating their stability, degradation, and sorting [30, 31, 130]. This section will systematically review the association between m6A modified exosomal lncRNAs and TME features such as immune suppression and angiogenesis by acting on different target cells, based on existing research, and explore their potential roles in tumor progression.
Preclinical studies have shown that one of the main roles of these exosomal lncRNAs appears to be driving immune suppression in the TME, with macrophages being the primary target cell population. For instance, in breast cancer cell model, m6A-modified LINC00657 is delivered to macrophages via exosomes, inducing their polarization toward the immunosuppressive M2 phenotype, thereby weakening the antitumor immune response [114]. Similarly, in in vitro studies of HCC, m6A-modified SLC16A1-AS1 also promotes M2 polarization of macrophages through the exosome pathway [111]. These cases reveal a common strategy by which tumor cells actively “educate” macrophages via the m6A-exosome axis, transforming them into pro-tumor accomplices. Furthermore, this axis serves as a key driver of tumor angiogenesis by directly acting on endothelial cells. In cell model of gallbladder cancer, the m6A reader IGF2BP2 stabilizes the lncRNA TRPM2-AS, which is delivered to endothelial cells via exosomes. Within endothelial cells, TRPM2-AS activates the NOTCH1 signaling pathway, upregulates pro-angiogenic factors such as VEGFA, and directly drives tumor angiogenesis [112]. This mechanism is independent of immune cells, demonstrating a direct pathway through which tumors “command” stromal cells (endothelial cells) via exosomal lncRNAs to provide nutritional support for their growth.
More importantly, this regulatory axis may form a communication pathway for metabolic reprogramming and drug resistance transmission between the distal matrix and tumor cells. In in vitro experiments of multiple myeloma, METTL7A in adipocytes mediates the m6A modification of lncRNAs LOC606724 and SNHG1. These lncRNAs are exosomal-transmitted from adipocytes to myeloma cells, thereby enhancing c-Myc translation and leading to chemotherapy resistance in tumor cells [113]. This discovery reveals how the metabolic matrix (adipocytes) in the TME remotely confers drug resistance to tumor cells via the m6A-exosome axis, serving as a paradigm of TME involvement in therapeutic resistance.
It is worth noting that the regulatory effect of this axis on tumor malignant behavior exhibits significant heterogeneity, which depends on the specific regulatory factors and molecular environment in the context of its action. It is precisely this “background dependent” characteristic that reflects the complexity of its regulatory network. In vitro studies of hepatitis B virus-associated HCC, exosomes derived from M2 macrophages deliver m6A-modified lncRNA MAAS to HCC cells, stabilizing the c-Myc protein and directly driving its proliferation [110]. In vitro studies of laryngeal squamous cell carcinoma, exosomes originating from CAFs deliver m6A-modified lncRNA TUC338 to tumor cells, upregulating the expression of the oncogene CBX2 and promoting cell proliferation [116]. These two cases, together with the aforementioned pattern of lncRNA “educating” macrophages and stromal cells derived from tumor cells [111, 114], collectively form a positive feedback loop. In contrast, FTO upregulates the expression of lncRNA FLG-AS1 in OSCC cells through demethylation. According to clinical sample analysis, this lncRNA is also positively correlated with tumor progression after delivery through exosomes [115]. It is worth noting that this is in contrast to the situation of prostate cancer (PCa): in vitro studies of PCa, m6A modification mediated by the writing factor ZC3H13 upregulates the lncRNA A1BG-AS1, and exosome delivery can inhibit the proliferation of PCa cells, suggesting that this RNA may have an inhibitory effect on tumor malignant progression [117]. These interrelated and seemingly contradictory findings strongly indicate that the regulation of m6A modification on exosomal lncRNA function may have a highly context-dependent. The ultimate impact on the TME (promoting or inhibiting cancer) cannot be simply predicted by “addition or removal of modifications,” but rather depends on specific cancer types, cell sources, and downstream signaling pathways.
Although the aforementioned cases reveal the multifaceted role of the m6A-lncRNA axis in reshaping the TME, most studies have isolatedly focused on the function of individual lncRNAs in specific scenarios, lacking systematic exploration of how different lncRNAs are co-regulated and form functional networks within the same tumor model. For example, does METTL3 simultaneously regulate pro-angiogenic lncRNAs and pro-immunosuppressive lncRNAs? Is there a hierarchical relationship between them? These questions remain unanswered.
CircRNA
CircRNA represents a distinct category of ncRNA characterized by its circular structure, which is produced through a process known as back-splicing [131]. M6A modification can drive the translation of circRNAs, and the m6A within circRNAs can operate as an internal ribosomal entry site, thus allowing a cap-independent translation [132]. METTL3 and METTL14 promote the m6A-dependent translation of circRNAs, whereas m6A demethylation by FTO negatively regulates it. YTHDF3 and eIF4G2 are major players in this pathway.
Through systematic literature search and analysis, four preclinical studies have been identified that explicitly elucidate the specific regulatory mechanisms of m6A-modified circRNAs transported via exosomes on the TME. Although limited in number, these studies clearly reveal a positive correlation between this axis and immune suppression and tumor progression.
In terms of driving immune suppression, two studies revealed a common mechanism centered on the “m6A-circRNA-reader protein” complex. In HCC cell model, m6A-modified circCCAR1 is delivered to CD8 + T cells via exosomes, where it collaborates with the reader protein IGF2BP3 to stabilize PD-1 mRNA, directly inducing T cell exhaustion and associated with resistance to PD-1 therapy [118]. In cell and animal models of non-small cell lung cancer, exosome-delivered circPACRGL is taken up by macrophages, where it stabilizes YAP1 mRNA by binding to IGF2BP2, thereby driving macrophage M2 polarization and positively correlated with immune suppression [120]. These two studies suggest that m6A circRNAs targeting immune cells may recruit specific reading proteins as molecular scaffolds to stabilize key immune checkpoint or regulatory factor mRNA at the post transcriptional level, thereby continuously inhibiting anti-tumor immune responses.
In terms of directly promoting tumor progression, the other two studies demonstrated distinct pathways of action, highlighting the diversity of mechanisms. In the study of BCa in vitro, m6A-modified circSLC38A1 is transmitted between tumor cells via exosomes, whose function is to activate TGF-β2 transcription, thereby inducing EMT. Animal models further suggest that it may promote tumor invasion and metastasis [121]. In the cell model of HCC, exosome-delivered m6A-modified circ-CDYL has been shown to simultaneously activate multiple oncogenic signaling pathways, including HDGF-PI3K-AKT-mTOR and HIF1AN-NOTCH2. This suggests that it may drive the development of liver cancer [119]. Unlike the former, which primarily regulates a single pathway (TGF-β), circ-CDYL functions more akin to a “signal hub,” influencing multiple core pathways simultaneously. These two studies indicate that targeting m6A-circRNAs within tumor cells may directly contributes to malignant phenotypes, but the specific downstream nodes and signaling networks may vary depending on the circRNA.
Currently, research heavily relies on mechanistic exploration of individual molecules. Whether these reported circRNAs are universally representative within the complex exosomal circRNA repertoire, and whether undiscovered, functionally redundant, or antagonistic members exist, awaits future comprehensive omics analysis and functional screening.
Proteins
Exosome-delivered ncRNAs primarily function as regulatory elements of gene expression, indirectly influencing the functions of recipient cells through post-transcriptional regulation (Table 2). In contrast, proteins are positioned downstream in functional execution, often serving as terminal effector molecules that exert direct effects. Exosome-mediated delivery of m6A-regulated proteins represents a more direct and rapid mode of TME remodeling-namely, the “intercellular transfer” of effector molecules themselves. Currently, only a limited number of proteins have been confirmed to be regulated by m6A and transported via exosomes, including Glycoprotein Non-metastatic Melanoma protein B (GPNMB), interferon gene exosome stimulator (STING), N-acetyltransferase 10 (NAT10), Krüppel-Like Factor 6 (KLF6), and Mortalin (HSPA9, a member of the HSP70 gene family). Although their numbers are limited, these proteins functionally encompass multiple aspects ranging from immunomodulation to intracellular nuclear signaling intervention, preliminarily revealing the potential and diversity of this pathway (Table 2).
Firstly, in terms of immunosuppression, exosome proteins can directly act as ligands or signaling molecules on immune cells. In in vivo and in vitro studies of HCC, FTO enhances the stability of GPNMB mRNA through demethylation, leading to upregulation of GPNMB protein expression and its sorting into exosomes. Exosome-bound GPNMB acts as a ligand, directly binding to the SDC4 receptor on the surface of CD8 + T cells, thereby inhibiting T cell activation and function [122]. This mechanism differs from circRNA indirectly inducing T cell exhaustion by stabilizing PD-1 mRNA at the post-transcriptional level [118], representing a more direct, receptor-ligand-mediated surface signal suppression. Similarly, in CRC cell model, the reader IGF2BP2 stabilizes STING mRNA via m6A-dependent mechanisms, enabling STING protein delivery to macrophages via exosomes. Upon uptake, exosomal STING protein directly activates its intrinsic signaling pathway within macrophages, inducing M2 phenotype polarization [124]. Here, exosomes transport core adaptor proteins of the signaling pathway, directly initiating specific polarization programs within recipient cells.
Secondly, exosomal proteins can mediate metabolic and epigenetic reprogramming. In ESCC cell model, the writer METTL3 upregulates the expression of N-acetyltransferase 10 (NAT10) through m6A modification. After being taken up by macrophages, exosomal NAT10 functions directly as a metabolic/epigenetic modifier enzyme, altering the stability of target mRNA (e.g., FASN) in macrophages by catalyzing RNA modifications such as ac4C, thereby remodeling lipid metabolism and driving M2 polarization [125]. This demonstrates how the m6A-exosome axis may directly alters the metabolic state of recipient cells by transferring intact enzymatic functions.
Finally, this axis can directly regulate core survival and proliferation signaling in tumor cells. In in vitro studies of cervical cancer, the writer METTL3-mediated m6A modification significantly enhances the translation efficiency of the molecular chaperone protein Mortalin (HSPA9). After being taken up by recipient cells, the exosomal Mortalin acts as a key signal-interfering protein, directly binding to and blocking the nuclear translocation of the tumor suppressor protein p53, thereby inactivating it and promoting cell cycle progression while resisting treatment-induced senescence [123]. This achieves functional transfer of key pathway proteins, directly altering the fate determination of recipient cells. Similarly, in lung adenocarcinoma cell model, ALKBH5-mediated KLF6 mRNA demethylation reduces its stability and expression. Inhibition of ALKBH5 enhances the m6A modification of KLF6, promoting its expression in M1 macrophages and sorting into exosomes. The exosome-delivered KLF6 protein, once taken up by lung cancer cells, enters the nucleus as a transcription factor, directly regulating the transcription of downstream genes, thereby inhibiting tumor cell proliferation, migration, and invasion [126]. Here, exosomes transport transcription factors that can directly regulate the expression of downstream target genes, including cyclins.
In summary, the five m6A-regulated exosomal proteins reported in current studies exhibit functional patterns distinct from those of ncRNAs: some act as ligands to directly inhibit immune cells (GPNMB), others serve as signaling molecules to initiate specific programs (STING), some function as metabolic enzymes to remodel cellular states (NAT10), some act as transcription factors to directly reprogram gene expression (KLF6), and others function as pathway proteins to interfere with core signaling (Mortalin). These findings preliminarily reveal the unique value of proteins as direct effector molecules in this axis. However, related research is still in its infancy, and the aforementioned cases represent only preliminary explorations. Future studies are needed to identify other m6A-regulated exosomal proteins and elucidate the precise mechanisms by which m6A modifications influence their post-translational secretion and specific sorting into exosomes.
M6A-related biologically active substances in exosome as potential biomarker candidates
Liquid biopsy has recently become a noninvasive and convenient method for diagnosing cancer [133, 134]. Exosomes, in particular, offer distinct benefits in specific areas compared to other liquid biopsy sources like circulating tumor cells and circulating tumor DNA. They not only have higher stability and content in the blood circulation, but can also be obtained from almost all bodily fluids [135, 136]. Consequently, proteins and nucleic acids within exosomes have been identified as innovative diagnostic and prognostic tools for a range of cancers [137]. In addition, research has shown that m6A modified ncRNA and proteins can be transported by exosomes, and their levels vary in cancer patients compared to healthy individuals, making them promising candidate biomarkers for research (Table 3).
Table 3.
Expression levels of m6A modified bioactive substances in cancer exosomes
| Cancer types | Biomarkers | Expression levels of biomarkers in exosomes from cancer patients | Main sources of evidence | References |
|---|---|---|---|---|
| ESCC | MiR-320b | Upregulated | Retrospective cohort studies | [106] |
| NAT10 | Upregulated | Retrospective cohort studies | [125] | |
| GC | MiRNA-17-92 | Upregulated | In vitro, animal models, retrospective cohort studies | [107] |
| LSCC | TUC338 | Upregulated | In vitro | [116] |
| LUAD | MiR-3153 | Upregulated | In vitro, animal models, retrospective cohort studies | [109] |
| KLF6 | Downregulated | Retrospective cohort studies | [126] | |
| LC | MiR-125a-5p | Upregulated | In vitro, retrospective cohort studies | [108] |
| NSCLC | CircPACRGL | Upregulated | In vitro, retrospective cohort studies | [120] |
| GBC | TRPM2-AS | Upregulated | Retrospective cohort studies | [112] |
| BC | LINC 00657 | Upregulated | Retrospective cohort studies | [114] |
| PCa | A1BG-AS1 | Downregulated | Retrospective cohort studies | [117] |
| OSCC | FLG-AS1 | Downregulated | Retrospective and prospective cohort studies | [115] |
| HBV-HCC | MAAS | Upregulated | Retrospective and prospective cohort studies | [110] |
| HCC | SLC16A1-AS1 | Upregulated | prospective cohort studies | [111] |
| CircCCAR1 | Upregulated | In vitro, retrospective cohort | [118] | |
| Circ-CDYL | Upregulated | Retrospective cohort studies | [119] | |
| GPNMB | Upregulated | Retrospective cohort studies | [122] | |
| CCa | Mortalin | Upregulated | Retrospective cohort studies | [123] |
| CRC | STING | Upregulated | Retrospective cohort studies | [124] |
| BCa | CircSLC38A1 | Upregulated | In vitro, retrospective cohort studies | [121] |
| MM | LOC606724、 | Upregulated | In vitro | [113] |
| SNHG1 |
ESCC esophageal squamous cell carcinoma, GC gastric cancer, LSCC laryngeal squamous cell carcinoma, LUAD lung adenocarcinoma, LC lung cancer, NSCLC non-small cell lung cancer, GBC gallbladder cancer, BC breast cancer, PCa prostate cancer, OSCC oral squamous cell carcinoma, HBV-related HCC hepatitis B virus-related hepatocellular carcinoma, CCa Cervical cancer, CRC colorectal cancer, BCa bladder cancer, MM multiple myeloma
However, it should be noted that the majority of the evidence listed in Table 3 comes from in vitro cell models, animal experiments, or small-scale retrospective clinical sample analysis, which belong to the early stages of discovery and validation. For example, METTL3 mediated m6A modification promotes the maturation of miR-320b and exosome packaging in ESCC. Retrospective analysis showed that elevated serum exosomal miR-320b levels in patients were associated with lymph node metastasis, suggesting its potential as a diagnostic tool, but further prospective validation is needed [106]. Similarly, m6A regulated circSLC38A1 is enriched in the serum exocrine of BCa patients, showing diagnostic value in a preliminary clinical study [121]. These are typical examples of early translational research. To transform the candidate molecules listed in Table 3 into clinically applicable diagnostic tools, it is not as simple as proving their expression differences, and a strict “validation funnel” must be traversed. Firstly, there is currently a lack of globally standardized procedures for the isolation and enrichment of exosome [138] and the specific detection of m6A modification [139–142]. The differences between different methods directly affect the accuracy and comparability of biomarker quantification across studies and centers, which is the first technical barrier to achieve clinical promotion. Secondly, candidate biomarkers must be demonstrated to have stable and reliable diagnostic sensitivity and specificity in a rigorously designed large, prospective, multicenter cohort, and establish clear clinical thresholds [143]. More importantly, intervention studies are needed to demonstrate that using this biomarker to guide clinical decision-making can ultimately improve patient outcomes and is cost-effective. Its value needs to go beyond existing standard methods [144].
Targeting the M6A-exosome axis: bridging molecular mechanisms to clinical therapeutic translation
The therapeutic potential of targeting the m6A-exosome axis
The m6A-exosome axis’s influence on the TME presents it as a possible therapeutic target for reducing tumor progression and increasing chemotherapy effectiveness. Since m6A methylation and demethylation are reversible processes, targeting m6A regulatory proteins to alter the expression of bioactive substances modified by m6A can exert antitumor therapeutic effects. Sinefungin, as the main inhibitor of METTL3, can reduce the levels of m6A modified miR-125a-5p in exosomes in vitro models, inhibit IGSF11 and its expression, thereby demonstrating the potential to enhance immune cell killing ability and inhibit lung cancer progression in a mechanistic manner [108]. Similarly, in preclinical models of multiple myeloma, knocking down the expression of METTL7A in adipocytes using specific small interfering RNA (siRNA) can reduce the levels of specific lncRNAs in exosomes, thereby enhancing the therapeutic effect of bortezomib on myeloma cells in vitro [113]. These studies provide principled evidence for METTL3 and METTL7A as therapeutic targets. In addition, there are clues indicating that m6A modification may influence exosome biogenesis, which comprises multivesicular bodies (MVBs) formation, cargo sorting, and MVBs fusion with the plasma membrane [54]. Zhou Jing and her research team found through in vitro and in vivo experiments that m6A modification impacts MVBs formation and fusion with the cell membrane, leading to a notable increase in exosome production and release. Conversely, inhibiting m6A methylation with 3-Deazaadenosine (DDA) and suppressing m6A-related enzymes can reduce exosome generation [145]. HnRNPA2/B1, a member of the reader proteins, plays a crucial role in the sorting of RNA into exosomes [35]. These findings collectively suggest that intervening in m6A modification not only regulates the generation of exosome cargo, but may also affect the production and delivery of exosome themselves, providing multiple potential intervention nodes for theoretically blocking the impact of this axis on the TME.
However, it should be emphasized that all the above evidence comes from preclinical studies (in vitro or animal models), and the mentioned compounds (such as sinefungin, DDA) or genetic tools (such as siRNA) are research tools used for mechanism exploration and have not undergone systematic clinical safety or toxicology evaluations, and cannot be directly equated with clinical candidate drugs. The importance of these studies lies in establishing the biological principles of the targets, but translating them into safe and effective therapies still faces significant challenges.
Deep analysis of clinical translation of targeted therapy: the gap from mechanism concept to clinical drugs
The transformation of m6A-exosome axis as a therapeutic target is much more complex than proving its biological importance. The current research focuses on preclinical concept validation, while moving towards clinical practice faces a series of intertwined and severe substantive challenges, specifically reflected in the following aspects.
The fundamental contradiction between drug specificity and off target effects. The existing evidence heavily relies on non selective tool compounds. For example, sinefungin and DDA are broad-spectrum methylation inhibitors that not only inhibit METTL3, but also extensively interfere with other key methylation transfer processes within cells [146, 147]. This lack of selectivity means that while inhibiting tumor related pathways, it inevitably disrupts the epigenetic transcriptome homeostasis that normal cells rely on for survival, leading to unacceptable on target toxicity. Similarly, strategies targeting reading proteins such as hnRNPA2B1 also face serious off target risks due to their fundamental role in extensive RNA processing [38]. Therefore, the primary challenge at present is not to confirm the effectiveness of the target, but to design highly selective inhibitors that can accurately distinguish the function or structure of the target under “disease state” and “physiological state”.
Delivery challenges and implementation difficulties in in vivo pharmacodynamics. For nucleic acid based intervention strategies such as siMETTL7A, their clinical translation is still limited by the classic bottleneck of in vivo delivery. Exposed siRNA is easily degraded and difficult to efficiently and specifically enter target cells (such as tumor cells or specific stromal cells) [148]. Although technologies such as lipid nanoparticles have made breakthroughs in the field of vaccines, their application in systemic cancer treatment and achieving organ/cell specific targeting still faces multiple challenges such as stability, liver and spleen enrichment, immunogenicity, and penetration of solid tumor barriers [149]. How to accurately deliver therapeutic molecules to the target site of action and ensure their effective release within the cell is the key to determining the success or failure of such therapies.
Unresolved concerns about the toxicity safety of the system. Even if the issues of selectivity and delivery are addressed, the long-term systemic effects of intervening in m6A modification or exosome secretion, which are fundamental cellular biological processes, remain a huge unknown. Toxicological studies of preclinical animal models may not fully predict human reactions [150]. Potential risks include but are not limited to: immune system dysfunction, abnormal development of reproductive cells, increased risk of neurotoxicity and metabolic diseases [151–154]. Therefore, conducting comprehensive and long-term preclinical safety evaluations (including carcinogenicity, reproductive toxicity, etc.) is a mandatory and costly step in advancing any candidate drug into clinical practice.
The lack of regulatory pathways and the reality of clinical development stages. From the perspective of regulatory science, the development path of drugs with such novel mechanisms of action is complex. Early communication with regulatory agencies (such as FDA, NMPA) is required to determine a reasonable clinical pharmacology and toxicology research plan [155–157]. It is crucial to develop reliable pharmacodynamic biomarkers (such as dynamically monitoring changes in specific m6A markers in patient exosomes through liquid biopsy) to visually demonstrate in early clinical trials that drugs do indeed successfully act on predetermined targets (target engagement) in the human body.
The research on TME responsive nanoplatforms provides forward-looking ideas in addressing these challenges [158]. For example, manganese oxide-mesoporous carbon nanoparticles improve treatment accuracy and reduce systemic exposure by utilizing tumor specific microenvironment signals to achieve targeted controlled drug release. This suggests that future intervention strategies targeting the m6A-exosome axis may draw on similar “smart” delivery designs to deliver highly selective inhibitors or nucleic acid drugs specifically to the tumor site, thereby enhancing efficacy while minimizing off target toxicity. However, the most direct reflection of the current stage of transformation is that as of January 2026, there are no Phase I clinical trials of drugs directly targeting the core component of the “m6A-exosome axis” for cancer treatment. This blank starkly indicates that the field is still in the preclinical drug discovery and candidate compound optimization stage, and there is still a considerable distance to go from human trials. In contrast, some TME responsive nanoplatforms have accumulated more systematic biocompatibility, in vivo pharmacokinetics, and preliminary safety data, providing important evaluation frameworks and translational standards for preclinical development of novel therapies, including targeting m6A.
Conclusions and perspectives
This review synthesizes evidence from 21 original preclinical studies published in the past five years and analyzes the impact of the “m6A-exosome axis” on the TME. The study elucidated that m6A modified bioactive substances are selectively packaged and delivered by exosome to receptor cells within the TME, thereby driving their systemic remodeling. Evidence suggests that this axis forms a crucial communication bridge between tumor cells and various matrix components through exosome mediated transmission. Among them, METTL3 and hnRNPA2B1, as regulatory factors that repeatedly appear in cancer, can coordinate the maturation process of key effector molecules and regulate the sorting mechanism of exosome. In addition, the included preclinical studies suggest that the most consistently TME hallmarks affected by the m6A-exosome axis is shaping the immunosuppressive phenotype by inducing polarization of M2 macrophages and depletion of T cells. This axis can also directly promote angiogenesis, EMT, metabolic reprogramming, and drug resistance, suggesting that it may promote tumor progression. It is worth noting that the biological effects of this axis have significant background dependence, and the same regulatory factor may play completely opposite roles in different cancer types and cellular environments.
In clinical significance, exosome carrying m6A modified biomolecules have shown potential as non-invasive liquid biopsy markers, and targeting this axis key node represents a promising preclinical treatment strategy. In addition to diagnostic potential, m6A modified exosome ncRNA has broad prospects as a novel therapeutic drug for reprogramming TME. Based on the mechanism summarized in this article, the following strategies can be envisaged. Firstly, targeting oncogenic ncRNAs in tumor derived exosomes can reverse immune suppression. For example, in GC, METTL3 dependent miR-17-92 cluster maturation and its exosome delivery can induce macrophage M2 polarization and the formation of an immunosuppressive microenvironment [107]; Therefore, the use of anti-miR-17-92 antisense oligonucleotides or miRNA sponges may block this process. Similarly, in HCC and NSCLC, exosome m6A modified lncRNAs SLC16A1-AS1 and circPACRGL promote M2 polarization, making them attractive therapeutic targets [111, 120]. Secondly, engineered exosomes can be used to deliver tumor suppressor ncRNA. For example, delivery of lncRNA FLG-AS1 in OSCC, delivery of lncRNA A1BG-AS1 in PCa, and delivery of KLF6 mRNA in LUAD all exhibit tumor suppressive function after exosome metastasis [115, 117, 126]. Thirdly, the combined use of m6A modified inhibitors and ncRNA therapy may produce synergistic anti-tumor effects. For example, in LC, the METTL3 inhibitor sinefungin can reduce the levels of m6A modified miR-125a-5p in exosome, thereby upregulating IGSF11 and enhancing immune cell killing ability [108]. In HCC, targeting FTO can downregulate GPNMB and restore CD8 + T cell function [122]. These strategies highlight the potential of ncRNA based interventions for precise regulation of immune cell function, angiogenesis, EMT, and drug resistance within the TME. However, it must be emphasized that all evidence in this article comes from preclinical models, and there are still multiple substantive challenges in understanding the mechanisms and clinical applications.
The current research has several limitations and provides directions for the future. Firstly, at the mechanistic level, the specific molecular mechanism by which m6A motifs guide the sorting of exosome is not yet clear and requires the use of more advanced techniques for analysis. Secondly, existing research has overly focused on RNA and a few proteins, and the roles of other m6A regulated goods such as metabolites and lipids urgently need to be explored. Furthermore, in order to enhance physiological relevance, it is necessary to strengthen validation in patient derived organoids, genetically engineered animal models, and clinical cohorts in the future. In terms of translational applications, developing candidate biomarkers into clinical tools urgently requires the standardization of exosome isolation and detection standards, and the validation of their efficacy through large-scale prospective studies. The transformation of treatment faces more severe challenges: the need to develop highly specific inhibitors to avoid interfering with normal physiological functions; Design efficient targeted delivery systems; Comprehensively evaluate the long-term safety of intervening in such basic cellular processes; And establish a clear clinical development pathway. In summary, the m6A-exosome axis establishes a new dimension of intercellular communication, enabling tumors to remotely epigenetic reprogram the TME. Deepening the understanding of this axis and innovatively addressing the bottleneck of its clinical translation is crucial for ultimately realizing its potential in precision diagnosis and treatment of tumors.
Supplementary Information
Below is the link to the electronic supplementary material.
Abbreviations
- TME
Tumor microenvironment
- CAFs
Cancer associated fibroblasts
- M6A
N6-methyladenosine
- EMT
Epithelial-mesenchymal transition
- ECM
Extracellular matrix
- NcRNAs
Non-coding RNAs
- MiRNAs
MicroRNAs
- LncRNAs
Long non-coding RNAs
- CircRNAs
Circular RNAs
- PRISMA
Systematic reviews and meta-analyses
- METTL3
Methyltransferase-like 3
- WTAP
Wilms’ tumor 1-associated protein
- RBM15
RNA-binding Motif protein 15
- ZC3H13
Zinc finger CCCH-type containing 13
- FTO
Fat mass and obesity-associated gene
- ALKBH5
AlkB homolog 5
- YTHDF
YTH domain family
- IGF2BP1/2/3
Insulin-like growth factor 2 mRNA-binding proteins 1/2/3
- elF3
eukaryotic initiation factor 3
- HNRNP
Heterogeneous nuclear ribonucleoprotein
- PD-L1
Programmed death-ligand 1
- HCC
Hepatocellular carcinoma
- LC
Lung cancer
- BCa
Bladder cancer
- CRC
Colorectal cancer
- OS
Osteosarcoma
- PMN
Pre-metastatic Niche
- BR
Butyrate
- IL-8
Interleukin-8
- FGF
Fibroblast growth factor
- VEGF
Vascular endothelial growth factor
- TGF-β
Transforming growth factor-beta
- RISC
RNA-induced silencing complexes
- Pri-miRNAs
Primary miRNAs
- DGCR8
DiGeorge cirtical region 8
- Pre-miRNAs
Precursor miRNAs
- GC
Gastric cancer
- LUAD
Lung adenocarcinoma
- IGSF11
Immunoglobulin superfamily member 11
- ESCC
Esophageal squamous cell carcinoma
- OSCC
Oral squamous cell carcinoma
- GPNMB
Glycoprotein non-metastatic melanoma protein B
- STING
Interferon gene exosome stimulator
- NAT10
N-acetyltransferase 10
- KLF6
Krüppel-like factor 6
- MVBs
Multivesicular bodies
- SiRNA
Small interfering RNA
- DDA
3-Deazaadenosine
Author contributions
The authors confirm contribution to the paper as follows: study conception and design, Wang Yi and Boxuan Zhou; draft manuscript preparation, Wang yi and Yingliang Li; review and editing, Wang Yi and Qingfeng Shi; supervision, Boxuan Zhou and Jiahui Wu; funding acquisition, Boxuan Zhou. All authors reviewed the results and approved the final version of the manuscript.
Funding
This research was supported by the Natural Science Foundation of Jiangxi Province (20242BAB20404, 20252BAC240624), Jiangxi Province’ Ganpo Talent Program’ Innovation Leadership Talent (gpyc20240199), Key Project of Jiangxi Provincial Department of Education (GJJ2400104), Science and Technology Plan Project of Jiangxi Provincial Administration of Traditional Chinese Medicine (2024A0090, 2024A0196), the Youth Talent Research Training Foundation of the First Affiliated Hospital of Nanchang University (YFYPY2023103) and the Full time Talent Introduction and Research Start up Fund of the First Affiliated Hospital of Nanchang University (RSC-0020).
Data availability
No datasets were generated or analysed during the current study.
Declarations
Ethics approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Boxuan Zhou, Email: zhoubx@ncu.edu.cn.
Yingliang Li, Email: liyingliang@163.com.
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Supplementary Materials
Data Availability Statement
No datasets were generated or analysed during the current study.
