Spandidos Publications Logo
  • About
    • About Spandidos
    • Aims and Scopes
    • Abstracting and Indexing
    • Editorial Policies
    • Reprints and Permissions
    • Job Opportunities
    • Terms and Conditions
    • Contact
  • Journals
    • All Journals
    • Oncology Letters
      • Oncology Letters
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Oncology
      • International Journal of Oncology
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Molecular and Clinical Oncology
      • Molecular and Clinical Oncology
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Experimental and Therapeutic Medicine
      • Experimental and Therapeutic Medicine
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Molecular Medicine
      • International Journal of Molecular Medicine
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Biomedical Reports
      • Biomedical Reports
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Oncology Reports
      • Oncology Reports
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Molecular Medicine Reports
      • Molecular Medicine Reports
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • World Academy of Sciences Journal
      • World Academy of Sciences Journal
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Functional Nutrition
      • International Journal of Functional Nutrition
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Epigenetics
      • International Journal of Epigenetics
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Medicine International
      • Medicine International
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
  • Articles
  • Information
    • Information for Authors
    • Information for Reviewers
    • Information for Librarians
    • Information for Advertisers
    • Conferences
  • Language Editing
Spandidos Publications Logo
  • About
    • About Spandidos
    • Aims and Scopes
    • Abstracting and Indexing
    • Editorial Policies
    • Reprints and Permissions
    • Job Opportunities
    • Terms and Conditions
    • Contact
  • Journals
    • All Journals
    • Biomedical Reports
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Experimental and Therapeutic Medicine
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Epigenetics
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Functional Nutrition
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Molecular Medicine
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Oncology
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Medicine International
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Molecular and Clinical Oncology
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Molecular Medicine Reports
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Oncology Letters
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Oncology Reports
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • World Academy of Sciences Journal
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
  • Articles
  • Information
    • For Authors
    • For Reviewers
    • For Librarians
    • For Advertisers
    • Conferences
  • Language Editing
Login Register Submit
  • This site uses cookies
  • You can change your cookie settings at any time by following the instructions in our Cookie Policy. To find out more, you may read our Privacy Policy.

    I agree
Search articles by DOI, keyword, author or affiliation
Search
Advanced Search
presentation
International Journal of Oncology
Join Editorial Board Propose a Special Issue
Print ISSN: 1019-6439 Online ISSN: 1791-2423
Journal Cover
April-2026 Volume 68 Issue 4

Full Size Image

Cover Legend PDF

Sign up for eToc alerts
Recommend to Library

Journals

International Journal of Molecular Medicine

International Journal of Molecular Medicine

International Journal of Molecular Medicine is an international journal devoted to molecular mechanisms of human disease.

International Journal of Oncology

International Journal of Oncology

International Journal of Oncology is an international journal devoted to oncology research and cancer treatment.

Molecular Medicine Reports

Molecular Medicine Reports

Covers molecular medicine topics such as pharmacology, pathology, genetics, neuroscience, infectious diseases, molecular cardiology, and molecular surgery.

Oncology Reports

Oncology Reports

Oncology Reports is an international journal devoted to fundamental and applied research in Oncology.

Experimental and Therapeutic Medicine

Experimental and Therapeutic Medicine

Experimental and Therapeutic Medicine is an international journal devoted to laboratory and clinical medicine.

Oncology Letters

Oncology Letters

Oncology Letters is an international journal devoted to Experimental and Clinical Oncology.

Biomedical Reports

Biomedical Reports

Explores a wide range of biological and medical fields, including pharmacology, genetics, microbiology, neuroscience, and molecular cardiology.

Molecular and Clinical Oncology

Molecular and Clinical Oncology

International journal addressing all aspects of oncology research, from tumorigenesis and oncogenes to chemotherapy and metastasis.

World Academy of Sciences Journal

World Academy of Sciences Journal

Multidisciplinary open-access journal spanning biochemistry, genetics, neuroscience, environmental health, and synthetic biology.

International Journal of Functional Nutrition

International Journal of Functional Nutrition

Open-access journal combining biochemistry, pharmacology, immunology, and genetics to advance health through functional nutrition.

International Journal of Epigenetics

International Journal of Epigenetics

Publishes open-access research on using epigenetics to advance understanding and treatment of human disease.

Medicine International

Medicine International

An International Open Access Journal Devoted to General Medicine.

Journal Cover
April-2026 Volume 68 Issue 4

Full Size Image

Cover Legend PDF

Sign up for eToc alerts
Recommend to Library

  • Article
  • Citations
    • Cite This Article
    • Download Citation
    • Create Citation Alert
    • Remove Citation Alert
    • Cited By
  • Similar Articles
    • Related Articles (in Spandidos Publications)
    • Similar Articles (Google Scholar)
    • Similar Articles (PubMed)
  • Download PDF
  • Download XML
  • View XML
Review Open Access

Emerging roles of RNA m6A modification in multiple myeloma pathogenesis and treatment resistance (Review)

  • Authors:
    • Yasen Maimaitiyiming
    • Shuoyang Hu
    • Die Bai
    • Yingchao Guan
    • Na Bu
    • Wenhui Hao
    • Mayila Maimaiti
  • View Affiliations / Copyright

    Affiliations: Department of Immunology and Institute of Basic Medical Sciences, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi, Xinjiang 830011, P.R. China, Xinjiang Key Laboratory of Molecular Biology for Endemic Diseases, Xinjiang Medical University, Urumqi, Xinjiang 830011, P.R. China, Department of Pharmacy, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, P.R. China, Clinical Nutrition Department, First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang 830013, P.R. China
    Copyright: © Maimaitiyiming et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Article Number: 40
    |
    Published online on: February 10, 2026
       https://doi.org/10.3892/ijo.2026.5853
  • Expand metrics +
Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Metrics: Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )
Cited By (CrossRef): 0 citations Loading Articles...

This article is mentioned in:


Abstract

Multiple myeloma (MM) is an incurable hematologic malignancy characterized by the clonal expansion of plasma cells in the bone marrow. Despite advances in therapeutic agents, including proteasome inhibitors, immunomodulatory drugs and immunotherapies, relapse driven by treatment resistance remains a major clinical challenge. This underscores the critical need to elucidate additional molecular mechanisms that drive MM pathogenesis and therapeutic failure. The emerging field of epitranscriptomics, which studies post‑transcriptional RNA modifications, offers a promising perspective. Among these modifications, N6‑methyladenosine (m6A), the most abundant internal mRNA modification, has been implicated in regulating nearly every aspect of RNA metabolism. Growing evidence indicates that dysregulation of the m6A modification machinery plays a pivotal role in MM heterogeneity, disease progression and drug resistance. The present review synthesized current knowledge on how specific m6A regulators contribute to MM oncogenesis by modulating key signaling pathways, interactions with the bone marrow microenvironment and responses to therapy. It also discussed the potential of targeting m6A pathways as a therapeutic strategy to overcome treatment resistance and improve patient outcomes. By highlighting recent advances and future directions, the present review underscored m6A modification as an important frontier in the battle against MM.

Introduction

Multiple myeloma (MM) is an incurable hematologic malignancy characterized by clonal expansion and accumulation of plasma cells in the bone marrow (1,2). It is associated with the production of abnormal antibodies, referred to as monoclonal proteins or M proteins (3). Also known as plasma cell myeloma or simply myeloma, MM accounts for ~1% of all types of cancer and 15% of hematologic malignancies, with an incidence that increases with age and is higher in men than in women (4-7). Despite remarkable progress in its treatment, MM remains largely incurable, posing significant challenges because of its complex pathogenesis, frequent diagnostic delays caused by nonspecific symptoms and the almost inevitable development of treatment resistance (8,9).

The treatment paradigm for MM has undergone a profound transformation, moving from conventional chemotherapy to a multi-agent, mechanism-based approach. Foundational regimens combining proteasome inhibitors (such as bortezomib and carfilzomib), immunomodulatory drugs (IMiDs; such as lenalidomide and pomalidomide) and corticosteroids formed the first major wave of therapeutic progress (10-17). More recently, immunotherapies, including monoclonal antibodies (such as daratumumab targeting CD38) and T-cell redirecting agents such as bispecific antibodies and chimeric antigen receptor (CAR) T-cell therapy have further improved patient outcomes (18-21). Despite these advances, relapse and drug resistance remains a nearly universal challenge, highlighting the remarkable adaptability of MM cells and the urgent need for strategies that target the molecular basis of resistance (22-24).

These challenges are further compounded by the disease's complexity. Diagnosis is often delayed because of nonspecific initial symptoms (such as fatigue, bone pain and anemia) (4,25-27) and its pathogenesis involves a multifaceted interplay of genetic, epigenetic and bone marrow microenvironment factors that promote myeloma cell survival and drug resistance (1,4,28-30). The incomplete understanding of these resistance mechanisms limits the development of curative therapies for relapsed/refractory MM (18,20,31-33). Therefore, gaining deeper insights into MM biology from new perspectives is critical for improving patient outcomes.

Epitranscriptomics, the study of post-transcriptional RNA modifications, has emerged as a crucial layer of gene regulation (34-36). More than 170 chemical modifications have been identified and these alterations profoundly influence RNA metabolism, including stability, splicing and translation (37,38). Among them, N6-methyladenosine (m6A), the most abundant internal mRNA modification, has garnered significant attention for its roles in normal biology and cancer pathogenesis (39,40). Growing evidence implicates dysregulated m6A modification in solid tumors and hematological malignancies, including MM, where it influences disease pathogenesis, therapeutic response and drug resistance (41-43).

The present review aimed to synthesize the current understanding of m6A dysregulation in MM, with a particular focus on its role in pathogenesis, bone marrow microenvironmental interactions and treatment resistance and to evaluate the potential of targeting this pathway therapeutically.

Methods

A literature search was performed in the PubMed/MEDLINE (pubmed.ncbi.nlm.nih.gov/) and Web of Science (https://webof-science.clarivate.cn/) databases to identify relevant studies on m6A modification in MM and related epitranscriptomic mechanisms. Literature searches were performed to identify relevant studies published up to 20 December 2025 using combinations of controlled vocabulary and free-text terms, including: 'multiple myeloma' OR 'plasma cell myeloma' AND ('m6A' OR 'N6-methyladenosine' OR 'epitranscriptomics' OR 'RNA methylation' OR 'RNA modification') and, where appropriate, individual regulator terms ('METTL3', 'METTL14', 'WTAP', 'VIRMA/KIAA1429', 'RBM15', 'FTO', 'ALKBH5', 'YTHDF1/2/3', 'YTHDC1/2', 'IGF2BP1/2/3', 'HNRNPA2B1', 'HNRNPC'). Additional searches combined MM with clinically oriented keywords ('drug resistance', 'bortezomib', 'lenalidomide', 'pomalidomide', 'daratumumab', 'CAR-T', 'microenvironment', 'exosome', 'immune infiltration', 'bone disease'). Reference lists of included articles and relevant reviews were also screened to identify additional primary studies.

Eligible records included original research articles, preclinical studies and clinical or translational reports that examined i) m6A regulators or m6A-dependent mechanisms in MM models or patient samples, or ii) pharmacological or genetic modulation of m6A pathways with potential therapeutic relevance. Studies from other malignancies were included selectively when they provided key mechanistic insight or information on inhibitor development/chemical tractability and such evidence is explicitly identified as non-MM where discussed. Studies were excluded if they were i) published in non-English languages, ii) conference abstracts without accompanying full-text primary data, iii) retracted publications, or iv) not directly relevant to the core focus on RNA modification biology in MM.

Regulation and functional significance of RNA m6A modification

Traditionally, epigenetic regulation has focused on DNA methylation and histone modifications as key determinants of gene expression (44-46). The emergence of epitranscriptomics has now revealed reversible chemical modifications on RNA as a critical additional layer of gene regulation (47,48). Among known RNA modifications, m6A is the most prevalent internal modification on eukaryotic mRNA (49). The presence of m6A on a transcript serves as a direct binding platform for specific reader proteins, which markedly influence the RNA's fate by regulating its splicing, stability, export and translation (40,50,51). Another key mechanism of action involves the ability of m6A to function as an 'm6A switch', in which the modification alters the RNA's secondary structure to reveal binding sites for proteins that would otherwise be inaccessible (52,53). This allows for rapid, post-transcriptional fine-tuning of gene expression in response to cellular signals, a process frequently dysregulated in cancer.

The m6A regulatory machinery: Writers, readers and erasers

RNA m6A modification is regulated by a cohort of enzymes that catalyze the installation, removal, recognition and function of these modifications (35,54). Writers, erasers and readers constitute the trio of components involved in m6A regulation (Fig. 1). The installation of m6A modification is carried out by a group of enzymes known as writers (55). For example, the m6A writer complex includes methyltransferase-like 3 (METTL3), METTL14 and Wilms tumor 1-associating protein (WTAP) among others. These enzymes collaboratively catalyze the methylation process, with METTL3 serving as the catalytic subunit (56,57). Accessory proteins such as vir-like m6A methyltransferase associated protein (VIRMA), RNA binding motif protein 15 (RBM15) and METTL16 further modulate the specificity and efficiency of m6A installation (58). Conversely, eraser enzymes such as fat mass and obesity-associated protein (FTO) and AlkB homolog 5 (ALKBH5) are responsible for demethylating m6A, removing the methyl group and thus reversing the modification (56,59). This dynamic installation and removal establish a regulatory mechanism that finely tunes RNA function in response to cellular conditions.

The m6A methylation
regulatory machinery and its functional roles. The figure depicts
the spatial organization of m6A regulatory proteins
within a eukaryotic cell. In the nucleus, methyltransferase
'writers' (green) deposit m6A modifications on nascent
RNA transcripts, while demethylase 'erasers' (yellow) catalyze
their removal. Nuclear 'readers' (blue) recognize m6A
marks to regulate RNA splicing, export and microRNA processing. In
the cytoplasm, distinct reader proteins mediate translational
enhancement, degradation, or stabilization of target transcripts,
illustrating the functional diversity of m6A signaling
in post-transcriptional control. Protein labels indicate key
factors in each regulatory step. m6A,
N6-methyladenosine; METTL3/5/14/16, methyltransferase-like
3/5/14/16; WTAP, Wilms tumor 1-associated protein; VIRMA, vir-like
m6A methyltransferase associated; RBM15/15B, RNA-binding motif
protein 15/15B; ZC3H13, zinc finger CCCH-type containing 13; FTO,
fat mass and obesity-associated protein; ALKBH5, alkB homolog 5;
YTHDC1/2, YTH domain-containing 1/2; YTHDF1/2/3, YTH domain family
protein 1/2/3; IGF2BPs, insulin-like growth factor 2 mRNA-binding
proteins; HNRNPC/G, heterogeneous nuclear ribonucleoprotein C/G;
HNRNPA2B1, heterogeneous nuclear ribonucleoprotein A2/B1; FMRP,
fragile X messenger ribonucleoprotein; eIF3, eukaryotic translation
initiation factor 3. The figure was created in Figdraw (https://www.figdraw.com).

Figure 1

The m6A methylation regulatory machinery and its functional roles. The figure depicts the spatial organization of m6A regulatory proteins within a eukaryotic cell. In the nucleus, methyltransferase 'writers' (green) deposit m6A modifications on nascent RNA transcripts, while demethylase 'erasers' (yellow) catalyze their removal. Nuclear 'readers' (blue) recognize m6A marks to regulate RNA splicing, export and microRNA processing. In the cytoplasm, distinct reader proteins mediate translational enhancement, degradation, or stabilization of target transcripts, illustrating the functional diversity of m6A signaling in post-transcriptional control. Protein labels indicate key factors in each regulatory step. m6A, N6-methyladenosine; METTL3/5/14/16, methyltransferase-like 3/5/14/16; WTAP, Wilms tumor 1-associated protein; VIRMA, vir-like m6A methyltransferase associated; RBM15/15B, RNA-binding motif protein 15/15B; ZC3H13, zinc finger CCCH-type containing 13; FTO, fat mass and obesity-associated protein; ALKBH5, alkB homolog 5; YTHDC1/2, YTH domain-containing 1/2; YTHDF1/2/3, YTH domain family protein 1/2/3; IGF2BPs, insulin-like growth factor 2 mRNA-binding proteins; HNRNPC/G, heterogeneous nuclear ribonucleoprotein C/G; HNRNPA2B1, heterogeneous nuclear ribonucleoprotein A2/B1; FMRP, fragile X messenger ribonucleoprotein; eIF3, eukaryotic translation initiation factor 3. The figure was created in Figdraw (https://www.figdraw.com).

The fate of m6A-modified RNA is tightly regulated by various reader proteins. For instance, YTH domain-containing proteins, recognize and bind to m6A-modified sites to influence mRNA stability and translation efficiency (56). Specifically, YTH domain family protein 1 (YTHDF1) primarily facilitates translation by interacting with translation initiation factors to enhance the translation efficiency of m6A-modified mRNAs; YTHDF2 is well-known for its role in promoting mRNA decay, targeting m6A-modified transcripts for degradation; by contrast, YTHDF3 acts as a multifaceted adapter that can coordinate with either YTHDF1 to promote translation or with YTHDF2 to expedite mRNA decay, thereby fine-tuning the balance between mRNA stability and translation (60). YTH domain containing protein 1 (YTHDC1) is involved in the regulation of splicing, while YTHDC2 affects multiple aspects of RNA metabolism, with reported roles in splicing and translation (61). The insulin-like growth factor 2 mRNA-binding proteins, which also recognize m6A sites, are known to enhance the stability and storage of their target mRNAs (62).

Additionally, heterogeneous nuclear ribonucleoproteins (hnRNPs), such as heterogeneous nuclear ribonucleoprotein C/G (hnRNPC/G) and heterogeneous nuclear ribonucleoprotein A2/B1 (hnRNPA2B1), recognize m6A modifications and influence miRNA processing and splicing events by facilitating the recruitment of splicing factors and modulating alternative splicing patterns (63,64). Eukaryotic initiation factor 3 can bind to m6A sites, particularly near the 5' untranslated region (UTR) of mRNAs, to directly promote translation initiation in a cap-independent manner, enhancing the translation of specific transcripts under certain conditions (65). Fragile X mental retardation protein is another recognized m6A reader that plays a role in neuronal mRNA localization and stability, thereby influencing synaptic function and plasticity (66). This regulatory capacity of m6A modification, which spans mRNA splicing, localization, stability and translation efficiency, allows cells to finely tune gene expression in response to developmental cues and environmental stresses.

Fundamental functions of m6A in RNA metabolism and cellular physiology

The m6A modification serves as a fundamental regulator of RNA metabolism, exerting precise control over gene expression and a broad range of cellular processes. It governs nearly every stage of the mRNA life cycle: in the nucleus, it determines exon inclusion during splicing and facilitates mRNA export to the cytoplasm (67-70). Once in the cytoplasm, m6A directly influences transcript stability and translation efficiency, thereby dictating mRNA half-life and protein synthesis levels (71,72). This multifaceted regulation is indispensable for directing critical cellular behaviors, including stem cell renewal, neurogenesis and other fate decisions, ensuring proper development and physiological function (73,74).

The dynamic nature of m6A is crucial for cellular adaptation to various cues. Under stress conditions such as heat shock or oxidative stress, rapid m6A remodeling enables selective stabilization or degradation of key transcripts, facilitating a swift response (75,76). Notably, this regulation can be recursive, as exemplified by an m6A-modified transcript regulating the stability of its reader, IGF2BP1, under heat stress (77). m6A also contributes to maintaining circadian rhythms by modulating the stability of clock gene transcripts, thereby ensuring cellular homeostasis (78,79). This capability to adapt both to intrinsic cycles and extrinsic stressors underscores m6A's essential role in preserving the balance and functionality of cellular environments.

The regulatory scope of m6A extends beyond mRNA to include non-coding RNAs (ncRNAs). It influences the biogenesis of microRNAs (miRNAs) and the function of long non-coding RNAs (lncRNAs) and circular RNAs (circRNAs), which themselves act as scaffolds, sponges, or epigenetic regulators (52,80-82). Furthermore, extensive crosstalk exists between the epitranscriptome and other epigenetic layers. m6A can recruit chromatin modifiers to influence histone modifications and DNA methylation, thereby impacting transcription and chromatin accessibility (45,83). It also modulates diverse RNA-RNA, RNA-DNA and RNA-protein interactions crucial for various cellular processes and affects the formation of RNA-DNA hybrids (R-loops), which have implications for transcription and genome stability (84-86).

Taken together, the m6A modification is a versatile and powerful regulator of gene expression. Its ability to integrate signals and coordinate complex cellular programs makes it indispensable for normal physiology. However, this same versatility means that its dysregulation can have profound consequences, directly contributing to the pathogenesis of human diseases, including cancer, by disrupting the precise control of oncogenic and tumor-suppressive pathways.

Dysregulation of m6A in human cancer

The dysregulation of RNA m6A modification has emerged as a critical mechanism in tumorigenesis, adding a new dimension to our understanding of gene expression control in cancer beyond traditional genetic and epigenetic alterations (87-89). By disrupting cellular homeostasis, aberrant m6A modification contributes markedly to tumor initiation and progression (90-92). Accumulating evidence has demonstrated the implications of RNA m6A modification in solid tumors and hematological malignancies. This section briefly summarizes the functional roles and clinical relevance of m6A dysregulation in cancer.

The sophisticated regulatory functions of m6A in normal cellular processes are frequently subverted in oncogenesis (49,93). By controlling mRNA stability, splicing, localization and translation, m6A directly influences the expression of oncogenes and tumor suppressor genes, thereby driving cancer hallmarks such as uncontrolled proliferation, invasion and metastasis (94-96). This is mechanistically demonstrated in diverse types of cancer. For instance, METTL3 promotes the epithelial-mesenchymal transition by adding m6A marks to Forkhead box protein O1 (FOXO1) mRNA, leading to its YTHDF2-mediated decay (97). Another study identified Mettl3 as a crucial regulator for transitioning murine stem cells from the naive to the primed pluripotent state by promoting mRNA degradation of key pluripotency factors, linking cancer stem cell features to m6A modification (98). In hepatocellular carcinoma, WTAP facilitates disease progression via an m6A-dependent mechanism that epigenetically silences the tumor regulator erythroblast transformation specific 1 (ETS1) mRNA (99). Conversely, ALKBH5 maintains glioblastoma stem-like cells by demethylating and stabilizing FOXM1 transcripts (100). Loss of YTHDF2 enhances macrophage recruitment and mitochondrial respiration of CD8+ T cells, ultimately inhibiting the growth of melanoma tumor cells and improving survival in immunocompetent models (101). Wang et a (102) demonstrated that m6A-mediated control of mRNA translation influences cancer-relevant gene expression, emphasizing its role in oncogenesis. The examples from various other solid tumors that are extensively reviewed elsewhere, underscore that m6A modifiers can function as context-dependent oncogenes or tumor suppressors (103,104).

Similarly, m6A dysregulation is a recognized hallmark of hematological malignancies, as detailed in other specialized reviews (34,105). It disrupts normal hematopoiesis and immune surveillance to promote leukemogenesis and progression (34,105,106). The roles of m6A regulators are often complex and dualistic. For example, FTO has been demonstrated to promote the development of acute myeloid leukemia (AML) by reducing m6A levels on transcripts, including ASB2 and RARA, underscoring the oncogenic potential of FTO in AML (107). Conversely, other studies showed that METTL3, a core component of the m6A writer complex, controls myeloid differentiation in both normal hematopoietic and leukemia cells (108,109). Depletion of METTL3 promotes cell differentiation and reduces cell proliferation, indicating a tumor-suppressive role of m6A modulation in this context (108). IGF2BP3 is overexpressed in AML and drives disease progression by binding to and stabilizing RCC2 transcripts in an m6A-dependent manner (110). These studies illustrate the dual and context-dependent roles of m6A modifications in hematopoiesis and leukemia.

Given this paradigm of m6A's importance in oncology and hematology, its investigation in MM is a logical and critical frontier. The ability of m6A modifications to alter the expression of critical oncogenes and tumor suppressors, as demonstrated in other cancers, strongly positions it as a key player in MM pathogenesis, progression and drug resistance. The following sections will focus exclusively on synthesizing the growing evidence for m6A's role in this specific hematological cancer.

RNA m6A modification in MM pathogenesis and progression

Dysregulation of the m6A modification is increasingly recognized as a contributor of MM pathogenesis. By altering the expression of oncogenes and tumor suppressors, aberrant m6A modification impacts crucial cellular processes, promoting tumorigenesis, disease progression and interaction with the tumor microenvironment (48,111). The clinical relevance of this dysregulation is underscored by bioinformatics studies, which have shown that m6A regulator expression profiles can stratify MM patients into distinct prognostic groups and are associated with response to therapy (112,113). For instance, a study analyzing 21 m6A regulators in MM patient samples identified three distinct clusters with significant differences in overall survival and established a two-gene prognostic signature (HNRNPA2B1 and KIAA1429) that served as an independent prognostic indicator (112). Another study developed and validated a gene-pairing model based on 13 m6A regulators (CPSF6, FMR1, FTO, HNRNPA2B1, HNRNPC, IGF2BP2, METTL14, NUDT21, RBM15, SRSF10, YTHDF1, YTHDF2 and YTHDF3) in over 2,000 patients, where a high-risk score was an independent prognostic factor and, when combined with the International Staging System (ISS), created an 'm6A-enhanced ISS' with superior stratification accuracy (113). This model showed that its composite score increases stepwise across the disease continuum, from monoclonal gammopathy of undetermined significance to smoldering MM, active MM and ultimately plasma cell leukemia (113). These findings position m6A status as a dynamic biomarker of both clinical stage and malignant transformation. The following sections detail the specific roles of m6A writers, readers and erasers in this pathogenesis and progression.

Oncogenic roles of m6A writers

The writer complex, responsible for installing m6A marks, is frequently upregulated in MM. Pre-clinical studies predominantly report oncogenic functions for these writers, though clinical validation is ongoing. For instance, studies indicate METTL3 enhances the maturation of oncogenic miR-182-5p via m6A modification, leading to downregulation of the proliferation inhibitor calcium/calmodulin-dependent protein kinase II inhibitor 1 (CAMK2N1) (Fig. 2A) (114). In a separate proposed axis, METTL3 stabilizes Yin Yang 1 (YY1) mRNA and promotes the maturation of primary-miR-27a-3p, suggesting a potential feedback loop that drives proliferation and stemness (Fig. 2B) (115). Furthermore, METTL3 upregulates the translation initiation regulator basic leucine zipper and W2 domains 2 (BZW2) through m6A methylation, accelerating MM cell proliferation and inhibiting apoptosis (Fig. 2C) (116). In addition, METTL3 collaborates with the oncogenic lncRNA metastasis associated lung adenocarcinoma transcript 1 (MALAT1) to promote MM cell proliferation and MALAT1 overexpression rescues the effects of METTL3 knockdown (117). The potential oncogenic role of METTL3 is further supported by evidence that the antidiabetic drug metformin exerts anti-myeloma effects partly by impairing METTL3-mediated m6A modification of genes such as thyroid hormone receptor associated protein 3, RNA binding motif protein 25 and ubiquitin specific peptidase 4 (118-120). It is important to note that these METTL3-dependent axes are primarily supported by individual in vitro and xenograft studies. Their relative contributions and clinical relevance in heterogeneous MM patient populations require independent validation and further investigation.

METTL3-driven oncogenic pathways in
MM tumorigenesis. (A) METTL3 facilitates miR-182-5p maturation
through m6A modification, suppresses CAMK2N1 and
drives MM proliferation and tumorigenesis (Main evidence: in
vitro studies). (B) METTL3 upregulates YY1 and
miR-27a-3p via m6A modification, driving MM
proliferation and stemness (Main evidence: in vitro assays
and patient cohort analysis). (C) METTL3 upregulates BZW2
via m6A modification, promoting MM proliferation and
anti-apoptosis (Main evidence: In vitro functional
validation). m6A, N6-methyladenosine; METTL3,
methyltransferase-like 3; pri-miR-182, primary microRNA-182;
pri-miR-27a, primary microRNA-27a; miR-182-5p, microRNA-182-5p;
miR-27a-3p, microRNA-27a-3p; CAMK2N1, calcium/calmodulin-dependent
protein kinase II inhibitor 1; YY1, Yin Yang 1; BZW2, basic leucine
zipper and W2 domains 2; YTHDF1, YTH domain family protein 1; eIF3,
eukaryotic translation initiation factor 3; eIF2B, eukaryotic
translation initiation factor 2B; 40S, 40S ribosomal subunit. The
figure was created in Biorender (https://BioRender.com).

Figure 2

METTL3-driven oncogenic pathways in MM tumorigenesis. (A) METTL3 facilitates miR-182-5p maturation through m6A modification, suppresses CAMK2N1 and drives MM proliferation and tumorigenesis (Main evidence: in vitro studies). (B) METTL3 upregulates YY1 and miR-27a-3p via m6A modification, driving MM proliferation and stemness (Main evidence: in vitro assays and patient cohort analysis). (C) METTL3 upregulates BZW2 via m6A modification, promoting MM proliferation and anti-apoptosis (Main evidence: In vitro functional validation). m6A, N6-methyladenosine; METTL3, methyltransferase-like 3; pri-miR-182, primary microRNA-182; pri-miR-27a, primary microRNA-27a; miR-182-5p, microRNA-182-5p; miR-27a-3p, microRNA-27a-3p; CAMK2N1, calcium/calmodulin-dependent protein kinase II inhibitor 1; YY1, Yin Yang 1; BZW2, basic leucine zipper and W2 domains 2; YTHDF1, YTH domain family protein 1; eIF3, eukaryotic translation initiation factor 3; eIF2B, eukaryotic translation initiation factor 2B; 40S, 40S ribosomal subunit. The figure was created in Biorender (https://BioRender.com).

Other writers also contribute to MM pathogenesis in pre-clinical contexts. For example, METTL5 has been shown to drive MM progression by enhancing the translation of selenoproteins such as selenophosphate synthetase 2 (SEPHS2), which is critical for mitigating oxidative stress (121). The accessory writer protein VIRMA (KIAA1429) is overexpressed in MM and experimental evidence suggests it promotes tumorigenesis by enhancing m6A modification and expression of the oncogene forkhead box M1 (FOXM1) via the reader YTHDF1 (122). Beyond regulating oncogene expression, VIRMA has been linked to suppression of ferroptosis to promote MM cell survival (123). Mechanistically, VIRMA is stabilized by the lncRNA FEZF1-AS1 and, in turn, enhances m6A-dependent translation of OTU deubiquitinase, ubiquitin aldehyde binding 1 (OTUB1). OTUB1 then deubiquitinates and stabilizes the ferroptosis defense protein solute carrier family 7 member 11 (SLC7A11), protecting MM cells. The core writer complex component WTAP also appears to function as a critical oncogene. A recent study identified WTAP as overexpressed in MM patients and associated with poor survival (124). Mechanistically, this study reported that WTAP installs m6A modifications on microtubule-associated protein 6 domain containing 1 mRNA, thereby regulating the Hippo signaling pathway to drive MM cell proliferation. Notably, the writer complex can be regulated post-translationally; research indicates protein arginine methyltransferase 1 methylates and stabilizes WTAP, which in turn enhances m6A modification of NADH:ubiquinone oxidoreductase core subunit S6 mRNA, boosting its expression and activating oxidative phosphorylation to promote tumorigenesis (125).

Collectively, while these studies identify promising oncogenic roles for m6A writers in MM, the current mechanistic understanding is predominantly derived from in vitro and mouse xenograft models. Independent replication and validation in primary patient samples are essential to establish their significance and prioritize translational efforts.

m6A readers as executors of pro-tumorigenic programs

The functional output of m6A methylation is largely determined by reader proteins, whose dysregulation in MM orchestrates diverse oncogenic programs. A pivotal player is YTHDF2, whose elevated expression correlates with poor patient prognosis (126). Loss- and gain-of-function experiments established a causal role for YTHDF2 in driving MM proliferation both in vitro and in vivo. Mechanistic insights revealed that YTHDF2 recognizes m6A motifs on the signal transducer and activator of transcription 5A (STAT5A) transcript, promoting its degradation (126). Subsequent rescue experiments confirmed that STAT5A acts as a tumor suppressor by attenuating ERK phosphorylation via interaction with the mitogen-activated protein kinase kinase 2 (MAP2K2) promoter, thereby delineating the YTHDF2-STAT5A-MAP2K2-p-ERK axis as a key proliferative driver (Fig. 3A) (126). Parallel investigations established that YTHDF2 promotes G1/S phase transition of MM cells by degrading the tumor suppressor early growth response 1 (EGR1). This model is solidified by the finding that EGR1 knockdown abrogates the cytostatic effect of YTHDF2 depletion, as EGR1 transactivates p21 and represses the CDK2/cyclin E1 complex (Fig. 3B) (127).

YTHDF2 promotes MM proliferation
through dual m6A-dependent pathways. (A) YTHDF2 promotes
proliferation via m6A-dependent STAT5A
degradation and subsequent p-ERK activation (Main evidence: In
vitro and in vivo mouse models). (B) YTHDF2 drives MM
proliferation via m6A-dependent EGR1 degradation,
leading to dysregulation of the p21/CDK2-cyclin E1 axis (Main
evidence: In vitro experiments and patient cohort
correlation). m6A, N6-methyladenosine; YTHDF2, YTH domain family
protein 2; STAT5A, signal transducer and activator of transcription
5A; MAP2K2, mitogen-activated protein kinase kinase 2; p-ERK,
phosphorylated extracellular signal-regulated kinase; EGR1, early
growth response protein 1; p21, cyclin-dependent kinase inhibitor 1
(also known as CDKN1A); CDK2, cyclin-dependent kinase 2; cyclin E1,
cyclin E1. The figure was created in Biorender (https://BioRender.com).

Figure 3

YTHDF2 promotes MM proliferation through dual m6A-dependent pathways. (A) YTHDF2 promotes proliferation via m6A-dependent STAT5A degradation and subsequent p-ERK activation (Main evidence: In vitro and in vivo mouse models). (B) YTHDF2 drives MM proliferation via m6A-dependent EGR1 degradation, leading to dysregulation of the p21/CDK2-cyclin E1 axis (Main evidence: In vitro experiments and patient cohort correlation). m6A, N6-methyladenosine; YTHDF2, YTH domain family protein 2; STAT5A, signal transducer and activator of transcription 5A; MAP2K2, mitogen-activated protein kinase kinase 2; p-ERK, phosphorylated extracellular signal-regulated kinase; EGR1, early growth response protein 1; p21, cyclin-dependent kinase inhibitor 1 (also known as CDKN1A); CDK2, cyclin-dependent kinase 2; cyclin E1, cyclin E1. The figure was created in Biorender (https://BioRender.com).

The oncogenic role of readers extends to genetically defined MM subgroups. IGF2BP1 is markedly overexpressed in patients with chromosome 1q gain, where it predicts an inferior clinical outcome (128). Mechanistically, IGF2BP1 directly binds to m6A sites within the cell division cycle 5-Like (CDC5L) mRNA, enhancing its stability and translation. The functional dependency of this axis was confirmed by the fact that genetic or pharmacological inhibition of IGF2BP1 suppressed the pro-tumor effects, revealing the IGF2BP1-CDC5L axis as a vulnerability in this high-risk population (128).

A paramount clinical challenge in MM is the bone disease and m6A readers are critically involved in this destructive process (129,130). The reader hnRNPA2B1 is a key orchestrator of myeloma bone disease, as its expression correlates with the number of osteolytic lesions. hnRNPA2B1 drives bone destruction via a dual exosomal miRNA mechanism. It promotes the maturation and exosomal packaging of specific miRNAs, such as miR-92a-2-5p and miR-373-3p, in an m6A-dependent manner. Upon delivery to the bone marrow niche, these miRNAs disrupt bone homeostasis: miR-92a-2-5p suppresses the osteoclast inhibitor IRF8 in monocytes/macrophages, enhancing osteoclastogenesis and bone resorption, while miR-373-3p inhibits the master osteogenic transcription factor RUNX2 in mesenchymal stem cells, impairing bone formation (131). Cell-autonomously, HNRNPA2B1 also enhances MM cell survival by stabilizing interleukin enhancer binding factor 3 mRNA, leading to AKT3 activation, a pathway corroborated by positive immunohistochemical correlations in patient samples (132). Another study revealed that hnRNPA2B1 sustains the activity of the central kinase CK2 and CK2 inhibition induces ER stress and autophagy to suppress proliferation and promote apoptosis in hnRNPA2B1-overexpressing MM cells, identifying CK2 as a critical downstream effector (133).

The clinical relevance of m6A readers is further highlighted by the overexpression of leucine rich pentatricopeptide repeat containing, another m6A-binding protein, in advanced-stage MM, where its knockdown induces apoptosis and cell cycle arrest, positioning it as a potential therapeutic node (134). The pro-tumorigenic functions of m6A readers such as YTHDF2, IGF2BP1 and HNRNPA2B1 have been confirmed in multiple preclinical studies through genetic manipulations and mechanistic experiments and are associated with patient prognosis. However, current understanding heavily relies on a limited set of cell line models and preclinical animal studies. To establish these readers as reliable clinical therapeutic targets, further validation in more diverse MM models is required.

m6A erasers in MM cell survival and stemness

The erasers ALKBH5 and FTO, which mediate m6A demethylation, are frequently overexpressed in MM. Pre-clinical evidence suggests they may function as oncogenes by stabilizing a network of transcripts crucial for survival, stemness and stress adaptation. ALKBH5 promotes tumorigenesis through multiple, distinct mechanisms. It stabilizes the lncRNA small nucleolar RNA host gene 15 (SNHG15) in an m6A-dependent manner (135). Studies using cell line models indicate that this ALKBH5-SNHG15 axis subsequently facilitates the expression of the histone methyltransferase SET domain containing 2 (SETD2), altering the H3K36me3 landscape to enhance chromatin accessibility and transcriptional elongation (Fig. 4A). In a separate pathway, integrated MeRIP-seq and functional analyses from one study identified Salvador family WW domain containing protein 1 (SAV1), a core component of the HIPPO tumor suppressor pathway, as a key ALKBH5 target. ALKBH5-mediated demethylation destabilizes SAV1 mRNA, leading to Yes-associated protein (YAP) activation and MM progression (136). Consistent with effects on cellular plasticity, ALKBH5 depletion suppressed the MM stem cell-like phenotype, as evidenced by reduced expression of pluripotency factors (NANOG, SOX2 and OCT4), linking epitranscriptomic regulation to cellular plasticity (Fig. 4B). Mechanistically, suppression of SAV1 perturbs Hippo signaling and enhances YAP activity and ALKBH5 depletion exerted an anti-myeloma effect by promoting expression of p21, p53 upregulated modulator of apoptosis and Bcl2 associated X (BAX) (136). Furthermore, another mechanistic report suggests ALKBH5 drives oncogenic signaling by reducing m6A levels on the 3'UTR of TNF receptor associated factor 1 (TRAF1) mRNA, thereby enhancing its stability and activating both NF-κB and MAPK pathways to promote growth and survival (Fig. 4C) (137). These findings from pre-clinical studies suggest that ALKBH5 functions as an oncogene in MM and could serve as a potential biomarker and therapeutic target.

ALKBH5 promotes multiple oncogenic
pathways in MM. (A) ALKBH5 stabilizes SNHG15 to upregulate
SETD2 and modify the epigenetic landscape (Main evidence: in
vitro mechanistic studies). (B) ALKBH5 suppresses SAV1
to inactivate the HIPPO pathway and activate YAP, while also
reducing stemness (Main evidence: In vitro and in
vivo models). (C) ALKBH5 hypomethylates TRAF1 to
activate NF-κB and MAPK signaling (Main evidence: In vitro
assays and clinical sample analysis). ALKBH5, AlkB homolog 5;
m6A, N6-methyladenosine; ALKBH5, alkB homolog 5; SNHG15,
small nucleolar RNA host gene 15; SETD2, SET domain-containing 2;
H3K36me3, histone H3 lysine 36 trimethylation; SAV1, Salvador
homolog 1; YAP, yes-associated protein; P21, cyclin-dependent
kinase inhibitor 1 (also known as CDKN1A); PUMA, p53-upregulated
modulator of apoptosis; BAX, BCL2-associated X protein; TRAF1, TNF
receptor-associated factor 1; NF-κB, nuclear factor
kappa-light-chain-enhancer of activated B cells; MAPK,
mitogen-activated protein kinase. The figure was created in
Biorender (https://BioRender.com).

Figure 4

ALKBH5 promotes multiple oncogenic pathways in MM. (A) ALKBH5 stabilizes SNHG15 to upregulate SETD2 and modify the epigenetic landscape (Main evidence: in vitro mechanistic studies). (B) ALKBH5 suppresses SAV1 to inactivate the HIPPO pathway and activate YAP, while also reducing stemness (Main evidence: In vitro and in vivo models). (C) ALKBH5 hypomethylates TRAF1 to activate NF-κB and MAPK signaling (Main evidence: In vitro assays and clinical sample analysis). ALKBH5, AlkB homolog 5; m6A, N6-methyladenosine; ALKBH5, alkB homolog 5; SNHG15, small nucleolar RNA host gene 15; SETD2, SET domain-containing 2; H3K36me3, histone H3 lysine 36 trimethylation; SAV1, Salvador homolog 1; YAP, yes-associated protein; P21, cyclin-dependent kinase inhibitor 1 (also known as CDKN1A); PUMA, p53-upregulated modulator of apoptosis; BAX, BCL2-associated X protein; TRAF1, TNF receptor-associated factor 1; NF-κB, nuclear factor kappa-light-chain-enhancer of activated B cells; MAPK, mitogen-activated protein kinase. The figure was created in Biorender (https://BioRender.com).

The other major eraser, FTO, exerts its oncogenic role by establishing a hypomethylated transcriptome (138). FTO is upregulated in MM and promotes tumor growth and metastasis. It specifically demethylates heat shock factor 1 (HSF1) mRNA, shielding it from YTHDF2-mediated decay and thus augmenting the heat shock response, a critical survival pathway under proteotoxic stress (139). Importantly, FTO activity is metabolically coupled. Isocitrate dehydrogenase 2 (IDH2), which generates the essential FTO cofactor α-ketoglutarate, is highly expressed in progressive MM. IDH2 depletion increased global m6A levels and impaired growth, mechanistically through suppressing FTO-mediated hypomethylation and stabilization of Wnt family member 7B mRNA, which activates pro-tumorigenic Wnt signaling (140,141). The translational promise of targeting m6A erasers is underscored by the finding that FTO inhibition synergizes with the frontline therapeutic drug bortezomib to suppress myeloma growth in vivo, presenting a compelling combinatorial strategy (139).

Taken together, the ALKBH5-SNHG15-SETD2, ALKBH5-SAV1-YAP and ALKBH5-TRAF1 axes, along with FTO-mediated regulation of HSF1 and Wnt signaling, represent important emerging mechanistic insights. However, the current evidence for these oncogenic roles of m6A erasers is predominantly derived from in vitro and mouse xenograft models. Their overarching significance, interdependence and clinical relevance as therapeutic targets in primary MM require independent replication and further validation in patient cohorts.

Emerging roles of other RNA modifications

The epitranscriptomic landscape of MM extends beyond m6A to include other chemically distinct modifications, such as N4-acetylcytidine (ac4C), 5-methylcytidine (m5C) and N1-methyladenosine (m1A), which are increasingly recognized as potential contributors to disease pathology. The ac4C writer N-acetyltransferase 10 (NAT10) is highly expressed in MM and associated with poor prognosis (142). NAT10 promotes MM cell proliferation by acetylating and stabilizing B-cell lymphoma-extra-large (BCL-XL) mRNA, a key anti-apoptotic regulator, thereby enhancing cell survival through the PI3K-AKT pathway. The dependency on this axis was confirmed by the potent anti-myeloma activity of Remodelin, a specific NAT10 inhibitor, which induced apoptosis both in vitro and in vivo (142). A separate study further showed that NAT10 also acetylates and stabilizes G protein-coupled receptor 37 (GPR37) mRNA (143). This NAT10-GPR37 axis drives MM progression by promoting cell cycle progression, glycolysis and immune evasion, while inhibiting apoptosis, effects that were recapitulated in a xenograft model.

Similarly, the role of m5C modification is being unraveled through bioinformatics and immunological profiling. Studies mapping the m5C regulome have identified distinct patient clusters with unique immune microenvironment signatures and metabolic features (144). A risk model based on m5C-related genes effectively stratified patients and high m5C scores were associated with specific immune cell infiltration patterns, suggesting that m5C modifications contribute to the immunosuppressive niche in MM (144). Importantly, the primary m5C methyltransferase NSUN2 is overexpressed in MM and correlates with poor prognosis (145). Functional studies demonstrate that NSUN2 drives MM progression by installing m5C modifications on huntingtin interacting protein 1 mRNA, thereby enhancing its stability and promoting tumor cell proliferation both in vitro and in vivo.

The m1A modification also holds significant prognostic and functional relevance in MM. Systematic analysis has identified specific m1A regulators (such as TRMT61A/B and YTHDF1-3) that are dysregulated in MM and are associated with patient outcomes (146). Notably, high expression of the m1A reader YTHDF2 was strongly associated with poor survival and was shown to promote MM cell proliferation while inhibiting apoptosis. Furthermore, YTHDF2 overexpression increased global m1A levels and its co-expressed partner SRSF10 was identified as a potential downstream effector (146). This positions the m1A machinery as a novel layer of epitranscriptomic regulation in MM pathogenesis.

Collectively, these findings from recent pre-clinical and bioinformatic studies illuminate an expanding epitranscriptomic network in MM. While m6A remains the most extensively characterized, the reported contributions of ac4C and m5C underscore the broader regulatory potential of RNA modifications. Targeting these pathways represents a promising but early-stage frontier for developing novel therapeutic strategies aimed at overcoming drug resistance and improving patient outcomes.

m6A modification in MM microenvironment and drug resistance

The development of treatment resistance, a major driver of relapse and mortality in MM, is thought to be closely linked to dynamic adaptations in the epitranscriptome, particularly m6A modification, which may coordinate both cell-intrinsic survival pathways and extrinsic communication with the bone marrow niche (147-150). Beyond directly regulating oncogenic transcripts, m6A-mediated mechanisms are implicated in drug resistance by reshaping the chromatin landscape through crosstalk with other epigenetic modifiers and by modulating the expression of drug efflux pumps and metabolic enzymes, thereby reducing intracellular drug exposure and therapeutic efficacy (83,151-153). A comprehensive dissection of these epitranscriptomic pathways is therefore a current research priority to develop strategies to overcome resistance and prevent disease progression.

m6A dysregulation shapes an immunosuppressive niche

Bioinformatics analyses have suggested a link between the m6A machinery and the immunosuppressive tumor microenvironment in MM. For example, a study reported that a risk signature based on high expression of HNRNPC, HNRNPA2B1 and YTHDF2, coupled with low ZC3H13 expression, was associated with poor prognosis (154). Patients stratified into this high-risk group showed enrichment for hallmark MM pathways (such as MYC signaling and unfolded protein response) and, importantly, a markedly depleted immune landscape. This 'immune-cold' phenotype was characterized by a broad reduction in infiltrating immune cells, including both effector (such as CD8+ T cells and NK cells) and suppressive subsets (such as myeloid-derived suppressor cells and regulatory T cells) and by downregulation of HLA class II molecules (such as HLA-DMA, HLA-DMB, HLA-DPA1 and HLA-DQB1) on tumor cells, potentially impairing antigen presentation and the initiation of adaptive immune responses (154). While this suggests a role for m6A in immune evasion, the underlying mechanisms and the clinical utility of this signature require prospective validation.

Mechanisms of m6A-mediated drug resistance

Functional studies in selected models implicate multiple m6A modifiers as direct mediators of chemoresistance. A study by Wang et al (155) provides a mechanistic example of how m6A dysregulation directly confers chemoresistance in MM. The researchers established a bortezomib-resistant model in vitro by chronically exposing the human MM cell line RPMI 8226 to progressively increasing concentrations of the drug. Comparative analysis revealed that the resistant cells exhibited significant upregulation of the m6A eraser FTO alongside concomitant downregulation of the antioxidant enzyme SOD2 (Fig. 5). The investigators proposed a direct causal relationship: FTO demethylates m6A sites on SOD2 mRNA, thereby promoting its decay. In this model system, ectopic overexpression of FTO in sensitive cells induced a resistant phenotype, while genetic knockdown of FTO or exogenous restoration of SOD2 resensitized resistant cells. Pharmacological inhibition of FTO with FB23-2 reversed resistance in vitro and in vivo (155), suggesting the FTO-SOD2 axis as a potential therapeutic target. This finding presents a seemingly paradoxical phenomenon, as diminished antioxidant capacity would typically be expected to exacerbate bortezomib-induced oxidative stress and cell death (156,157). The study attributed this to adaptive cellular rewiring, where chronically low SOD2 drives compensatory upregulation of pro-survival signaling networks (such as NF-κB and MAPK) (155). This model aligns with prior observations that alterations in oxidative stress management correlate with therapeutic response (158-160).

A proposed model for FTO-mediated
drug resistance in MM. (A) Schematic representation of FTO
expression and m6A levels in bone marrow tissues of MM
patients and healthy donors. (B) Mechanistic model of the FTO-SOD2
axis in driving bortezomib resistance. Upregulated FTO demethylates
m6A on SOD2 mRNA, accelerating its decay and
reducing antioxidant defense. The resulting chronic oxidative
stress triggers compensatory activation of pro-survival pathways
(such as NF-κB/MAPK), which desensitizes MM cells to
bortezomib-induced apoptosis. m6A, N6-methyladenosine;
FTO, fat mass and obesity-associated protein; SOD2, superoxide
dismutase 2; NF-κB, nuclear factor kappa-light-chain-enhancer of
activated B cells; MAPK, mitogen-activated protein kinase; ROS,
reactive oxygen species; PI3K, phosphatidylinositol 3-kinase; Akt,
protein kinase B. The figure was created in Biorender (https://BioRender.com).

Figure 5

A proposed model for FTO-mediated drug resistance in MM. (A) Schematic representation of FTO expression and m6A levels in bone marrow tissues of MM patients and healthy donors. (B) Mechanistic model of the FTO-SOD2 axis in driving bortezomib resistance. Upregulated FTO demethylates m6A on SOD2 mRNA, accelerating its decay and reducing antioxidant defense. The resulting chronic oxidative stress triggers compensatory activation of pro-survival pathways (such as NF-κB/MAPK), which desensitizes MM cells to bortezomib-induced apoptosis. m6A, N6-methyladenosine; FTO, fat mass and obesity-associated protein; SOD2, superoxide dismutase 2; NF-κB, nuclear factor kappa-light-chain-enhancer of activated B cells; MAPK, mitogen-activated protein kinase; ROS, reactive oxygen species; PI3K, phosphatidylinositol 3-kinase; Akt, protein kinase B. The figure was created in Biorender (https://BioRender.com).

Notably, the regulation of oxidative stress in MM reveals a complex picture. On one hand, METTL5 upregulates SEPHS2 expression, thereby enhances antioxidant defense (121). By contrast, FTO reduces SOD2 expression, diminishing antioxidant defense yet being reported to contribute to bortezomib resistance (155). This paradox may be explained by the dual role of reactive oxygen species (ROS), which at optimal levels can drive pro-tumorigenic signaling (161,162). Thus, cancer cells may manipulate different antioxidant pathways to maintain ROS within a survival-favorable range. Future studies are warranted to validate this effect and to determine how redox homeostasis can be therapeutically targeted (163,164).

ALKBH5 has also been implicated in resistance to targeted therapies. A recent study demonstrated that ALKBH5 overexpression attenuates the efficacy of the histone deacetylase inhibitor romidepsin by reducing m6A methylation on FOXM1 mRNA, thereby stabilizing it (165). Conversely, romidepsin treatment or ALKBH5 knockout increases FOXM1 m6A modification, accelerating its decay and synergistically enhancing apoptosis (165). This positions ALKBH5 as a key modulator of drug response in pre-clinical models.

Drug resistance is further proposed to be mediated through m6A-dependent regulation of key signaling hubs and non-coding RNAs. The reader protein HNRNPA2B1 binds to m6A sites on Toll-like receptor 4 (TLR4) mRNA, enhancing its stability and expression (166). Given that TLR4 signaling promotes a pro-survival and resistant state in MM, this HNRNPA2B1-TLR4 axis represents one mechanism that may contribute to microenvironment-associated resistance (167,168). Similarly, circular RNAs are co-opted in model systems; circ_0000337 is upregulated in bortezomib-resistant cells, where it sponges miR-98-5p, leading to increased expression of the DNA repair protein DNA2. The stability of circ_0000337 itself is regulated by m6A modification, creating a positive feedback loop that enhances DNA repair capacity (169). In another layer, METTL3 installs m6A marks on the lncRNA H19, which sequesters miR-184, relieving the suppression of the oncogenic coactivator-associated arginine methyltransferase 1 (CARM1) and driving a bortezomib-resistant phenotype in experimental models (170).

This concept extends to predicting response to combination therapies. In a cohort of patients relapsing after bortezomib-based regimens, a high m6A risk score (with an Area Under the Curve of 0.9) was associated with non-response to salvage therapy with daratumumab, carfilzomib, lenalidomide and dexamethasone (DARA-KRD) (113). Although mechanisms such as FTO-SOD2 have been demonstrated to mediate resistance in preclinical models, these findings are primarily based on single studies or limited cohorts. The prevalence of these pathways in patient populations, particularly among those with different types of resistance and their interactions with classical resistance mechanisms remain insufficiently elucidated and warrant validation in large-scale, prospective clinical cohorts.

The bone marrow niche and exosome-mediated drug resistance

The bone marrow adipocyte niche has emerged as a proposed source of exosome-mediated transfer of chemoresistance, a process suggested to be governed by epitranscriptomic regulation. Adipocyte-derived exosomes are reported to enrich MM cells with the lncRNAs LOC606724 and SNHG1, which inhibit apoptosis (171). Furthermore, the methyltransferase METTL7A, whose activity is potentiated by EZH2 in these models, promotes the m6A modification of these lncRNAs, thereby enhancing their packaging into exosomes. Upon delivery to MM cells, these m6A-modified lncRNAs drive c-Myc expression (171). This paradigm highlights a potential mechanism of niche-induced drug resistance that warrants further investigation.

Overall, preclinical studies suggest an interplay between m6A modification, non-coding RNA networks and the tumor microenvironment may create a framework for drug resistance in MM. Targeting key nodes within this epitranscriptomic network may offer future opportunities for resensitizing refractory MM, pending further validation of their clinical relevance.

Therapeutic targeting of m6A modifications in MM

The pervasive dysregulation of the m6A epitranscriptome in MM pathogenesis and treatment resistance has positioned its constituent enzymes, writers, erasers and readers, as compelling therapeutic targets. Moving beyond conventional strategies, targeting RNA modifications represents a novel paradigm to disrupt the post-transcriptional circuitry that drives MM progression and relapse (172). The development of pharmacological and genetic tools to precisely modulate the m6A landscape offers a promising avenue to alter the disease course and improve patient outcomes. The current translational challenge lies not merely in listing potential targets but in rationally prioritizing them for clinical development. This necessitates a framework capable of evaluating MM-specific preclinical validation, chemical tractability and the potential for integration with existing MM treatment regimens.

A translational prioritization framework for m6A targets in MM

A systematic approach is required to navigate the landscape of m6A regulators and identify the most promising candidates for drug discovery in MM. The present review proposed a multi-dimensional assessment framework based on the following criteria: First, the strength of MM-specific preclinical validation. This encompasses evidence from genetic dependency screens (such as CRISPR/Cas9 knockout) in MM cell lines, demonstration of robust anti-tumor efficacy in MM-specific in vivo models and clear correlation with poor prognosis, drug resistance, or key MM hallmarks in patient cohorts. Second, chemical tractability and drug development stage. This criterion assesses the availability of selective, potent and bioavailable small-molecule inhibitors, PROTAC degraders, or other pharmacological modalities targeting the m6A regulator. Third, the potential for integration with existing MM therapies. This evaluates whether preclinical models demonstrate synergistic effects when combining modulation of the m6A target with backbone MM therapies, such as proteasome inhibitors (bortezomib), immunomodulatory drugs (lenalidomide), or monoclonal antibodies (daratumumab). Targets that address core resistance mechanisms (such as FTO in bortezomib resistance) or modulate the tumor microenvironment to enhance therapy are considered particularly attractive.

High-priority targets with a solid MM-specific rationale

Targeting the catalytic core of m6A regulatory enzymes with small-molecule inhibitors represents the most direct path for clinical translation (Table I) (128,152,173-198). Applying the proposed translational framework, several targets emerge with high priority.

Table I

Small molecules and natural compounds targeting RNA m6A modification.

Table I

Small molecules and natural compounds targeting RNA m6A modification.

TargetInhibitorsTherapeutic applicationClinical stage(Refs.)
FTORheinAMLPreclinical(173)
Meclofenamic Acid (MA)AML, breast cancer, gastric cancer, lung cancer, gliomaPreclinical(152,173-175)
FB23-2AML, renal cancer, liver cancer, gliomaPreclinical(173,176-178)
Dac51Uterine LeiomyosarcomaPreclinical(179)
CS1/CS2Obesity, metabolic disordersPhase I/II(180)
FTO-43Glioblastoma, AML, gastric cancerPreclinical(181)
EntacaponeAML, solid tumorsPreclinical(182,183)
METTL3STM2457AML, NSCLC, HCC, pancreatic cancerPhase I/II(184-187)
STC-15NSCLC, HNSC, melanoma, endometrial cancerPhase Ib/II(188)
UZH1a/UZH1bAMLPreclinical(189-191)
ALKBH5MV1035GlioblastomaPreclinical(192)
Alk-04Melanoma, colorectal cancerPreclinical(193)
IOX1GliomaPreclinical(194)
YTHDF1SKLB-Y13Breast cancerPreclinical(128)
IGF2BP1BTYNBOvarian cancerPreclinical(195)
AVJ16Melanoma, neuroblastoma etc.Preclinical(196)
IGF2BP2JX5Lung adenocarcinoma, T-ALLPreclinical(197,198)

[i] The listed inhibitors have been primarily studied in non-MM malignancies. Their therapeutic potential and applicability in MM remain to be experimentally validated. AML, acute myeloid leukemia; NSCLC, non-small cell lung cancer; HCC, hepatocellular carcinoma; HNSC, head and neck squamous cell carcinoma; T-ALL, T-cell acute lymphoblastic leukemia; FTO, fat mass and obesity-associated protein; METTL3, methyltransferase-like 3; ALKBH5, alkB homolog 5; YTHDF1, YTH N6-methyladenosine RNA-binding protein 1; IGF2BP1, insulin-like growth factor 2 mRNA-binding protein 1; IGF2BP2, insulin-like growth factor 2 mRNA-binding protein 2.

The most compelling current evidence points to targeting the m6A writer METTL3. Its MM-specific validation is robust, as knockdown consistently inhibits the proliferation and survival of MM cells. Furthermore, metformin's partial anti-myeloma effect, mediated through the impairment of METTL3 function, provides indirect translational support (117-119). Regarding chemical tractability, the METTL3 inhibitor STM2457 is currently in Phase I clinical trials for AML. This agent has demonstrated potent anti-leukemic effects by reducing global m6A levels and downregulating key oncogenic transcripts such as BRD4 and SP1 (184). In terms of potential for therapeutic integration, given METTL3's well-defined oncogenic role in MM, where it drives proliferation by stabilizing transcripts such as YY1 and BZW2 and promoting the maturation of miR-182-5p, its inhibitors are hypothesized to synergize with proteasome inhibitors, which induce proteotoxic and endoplasmic reticulum stress (115,116). Therefore, evaluating METTL3 inhibitors (such as STM2457, UZH1) in MM models, particularly their efficacy in combination with bortezomib, is a high-priority preclinical direction.

FTO is another high-priority target. MM-specific evidence shows that FTO is upregulated in patients and promotes bortezomib resistance through mechanisms including the disruption of the oxidative stress modulator SOD2 (Fig. 5) (155). The chemical tractability of FTO is supported by several inhibitors (such as FB23-2, CS1/CS2), which have demonstrated anti-tumor effects in leukemia models (173,176-178). The potential for integration is highly compelling. Synthetic small-molecule inhibitors like FB23-2 can selectively block FTO activity, leading to enhanced decay of oncogenic transcripts such as MYC. Accordingly, FTO inhibition warrants MM-specific validation as a resensitization strategy, including testing in acquired bortezomib-resistant models and in combination regimens with proteasome inhibitors.

The eraser ALKBH5 also presents a viable target. Its MM-specific validation is underscored by its role in driving tumorigenesis and mediating resistance to agents such as the histone deacetylase inhibitor romidepsin by stabilizing FOXM1 mRNA (165). However, available ALKBH5 inhibitors (such as IOX1) are generally considered tool compounds and improved potency/selectivity and MM-specific pharmacological validation will be required. Modulating ALKBH5 may still be attractive for combination strategies if on-target activity and tolerability can be established (194).

Although the development of inhibitors targeting m6A readers is still in its early stages, it offers unique opportunities for precision therapy. For instance, targeting IGF2BP1, which stabilizes CDC5L mRNA in high-risk 1q-amplified MM (128); inhibiting HNRNPA2B1, a driver of bone disease and survival signaling (131-133); or blocking YTHDF2, which promotes proliferation by degrading tumor suppressors such as STAT5A and EGR1 (126,127) could each provide a highly targeted strategy with a potentially wider therapeutic window. Nevertheless, reader-targeting chemical matter remains relatively immature and robust pharmacodynamic assays and MM-specific validation will be essential to assess clinical feasibility.

Collectively, the inhibitors for METTL3 and FTO possess the strongest immediate translational rationale. However, it is critical to note that the current assessment of their efficacy largely draws on research from other hematologic malignancies such as AML. Specific pharmacodynamic data in MM, optimal combination regimens and potential resistance mechanisms await elucidation through future systematic preclinical studies dedicated to MM.

Biomedical and genetic approaches targeting m6A modification

Beyond small molecules, genetic and targeted protein degradation technologies offer alternative paths for precise and potent modulation of the m6A machinery (Table II) (199-209). CRISPR-Cas9-mediated knockout of METTL3 or ALKBH5 has proven effective in impairing cancer progression in various models, though in vivo delivery to MM cells in the bone marrow remains a challenge (194,210). More sophisticated epigenetic editing tools, such as dCas13b-ALKBH5 fusion systems, enable site-specific m6A demethylation without altering the DNA sequence, offering the potential to reversibly silence specific driver genes such as IRF4 while sparing normal hematopoiesis (208,211).

Table II

Biological/biomedical interventions targeting m6A modification.

Table II

Biological/biomedical interventions targeting m6A modification.

First author/s, yearTargetInterventionTypeMechanismTherapeutic application(Refs.)
Du et al, 2024METTL3-METTL14UZH2-PROTACPROTAC degraderTargets METTL3-14 for ubiquitinationAML(199)
Rauff et al, 2023FTOMTP1 peptidePeptideInhibits the binding and demethylase activity of FTOBreast cancer, lung cancer(200)
Li et al, 2024METTL3RSM3PeptideBlocks METTL3-14 interactionProstate cancer, lung cancer(201)
Hua et al, 2025; Huang et al, 2022; Paris et al, 2019YTHDF2YTHDF2-siRNARNA interferenceSilences YTHDF2 to stabilize tumor suppressor transcriptsCholangiocarcinoma, AML, neuroblastoma(202-204)
Bao et al, 2023; Wang et al, 2023YTHDF1Nanoparticle with siRNAsiRNAReduces YTHDF2 levelCRC, HCC(205,206)
Xie et al, 2019m6AFlavin MononucleotideArtificial enzymeOxidizes m6A independently of FTO/ALKBH5Research tool(207)
Wilson et al, 2020Editing tooldCas9-METTL3CRISPR-basedSite-specific m6A depositionResearch tool(208)
Li et al, 2020Editing tooldCas13b-ALKBH5CRISPR-basedSite-specific m6A eliminationResearch tool(209)

[i] These interventions represent emerging modalities that have shown promise in other cancer types. Their efficacy and delivery in MM-specific models require further investigation. AML, acute myeloid leukemia; ALKBH5, alkB homolog 5; CRISPR, Clustered Regularly Interspaced Short Palindromic Repeats; Cas9, CRISPR-associated protein 9; CRC, colorectal cancer; HCC, hepatocellular carcinoma; METTL3, methyltransferase-like 3; METTL14, methyltransferase-like 14; m6A, N6-methyladenosine; MM, multiple myeloma; PROTAC, Proteolysis Targeting Chimera; siRNA, small interfering RNA; UZH2, ubiquitin ligase zinc finger H2-type 2; FTO, fat mass and obesity-associated protein; YTHDF1, YTH domain family protein 1; YTHDF2, YTH domain family protein 2.

Proteolysis-targeting chimeras (PROTACs) represent a groundbreaking modality to achieve complete and selective degradation of target proteins. PROTACs such as WD6305, which recruit E3 ubiquitin ligases to degrade METTL3, have demonstrated potent anti-leukemic effects in vivo (199,212,213). This strategy could be particularly effective against MM cells that rely on METTL3 for survival, potentially overcoming resistance mechanisms that arise with catalytic inhibitors. Similarly, antisense oligonucleotides (ASOs) designed to silence METTL3 mRNA expression provide high specificity and could mitigate off-target effects associated with small molecules (214).

These next-generation approaches are poised to address the issues of tumor heterogeneity and acquired resistance that often plague conventional therapies. The future clinical application of these modalities will hinge on overcoming the critical challenge of delivery, efficiently and specifically targeting MM cells within the bone marrow niche. Advances in lipid nanoparticles, viral vectors, or cell-specific targeting moieties will be essential to unlock the full potential of genetic and degradation-based epitranscriptomic therapy for MM.

Notably, for targets such as ALKBH5 and YTHDF2, the rationale for targeted therapies primarily relies on genetic approaches (such as knockdown/knockout experiments) and the efficacy of tool compounds in non-MM models. Conclusive evidence of 'chemical tractability', such as highly selective and potent lead compounds, remains lacking in the context of MM. Furthermore, direct single-cell epitranscriptomic mapping of m6A marks (rather than regulator expression) in MM subtypes remains limited, representing a key technical and conceptual gap.

Collectively, the targeting of the m6A epitranscriptome opens a new frontier in MM therapeutics. The diversity of druggable targets, from writers and erasers to readers, provides multiple avenues to disrupt the post-transcriptional networks that sustain this disease. The immediate challenge lies in advancing the most promising agents, particularly METTL3 inhibitors, into robust preclinical validation in MM-specific models. Success in this endeavor promises to move beyond sequential therapy toward rational, biomarker-driven combinations that anticipate and delay resistance mechanisms. By precisely manipulating the RNA regulatory code, we may ultimately shift the treatment paradigm from managing relapse to achieving durable remissions in MM.

Safety considerations and the path to clinical translation

The translational potential of targeting the m6A epitranscriptome must be balanced against the risk of on-target toxicities, as its core regulators (such as METTL3, FTO and ALKBH5) play indispensable roles in normal hematopoiesis and immune function (34,105,106). Mitigating potential adverse effects, such as bone marrow suppression, is therefore paramount. A viable path forward hinges on two complementary strategies: The development of highly selective inhibitors to minimize off-target effects and the pursuit of rational combination therapies. Combining an m6A-targeted agent with a backbone MM therapy could allow for lower, more tolerable doses of each drug while achieving synergistic efficacy. Ultimately, the clinical success of this approach will depend on integrating predictive m6A-based biomarkers to identify patients whose tumors are most dependent on these pathways, thereby maximizing the therapeutic window.

Concluding remarks and future perspectives

The burgeoning field of epitranscriptomics has fundamentally expanded our understanding of gene regulation in cancer. The present review consolidated compelling evidence that the m6A modification machinery is an active regulatory layer linked to key aspects of MM pathogenesis, progression and therapy resistance. Through the dysregulated activity of writers, erasers and readers, m6A modifications fine-tune the expression of oncogenic networks, remodel the bone marrow microenvironment and confer resilience to current therapies, positioning the epitranscriptome as a rich source of novel prognostic biomarkers and therapeutic vulnerabilities.

Notably, both m6A writers and erasers are frequently upregulated in MM, suggesting a state of hyperdynamic RNA methylation rather than a simple shift in net m6A abundance. This heightened flux may help maintain the plastic and adaptive gene expression programs that fuel MM progression and resistance. Although it may seem paradoxical, inhibiting either writers (reducing installation) or erasers (preventing removal) could disrupt this balance; however, whether 'lethal epitranscriptomic instability' can be therapeutically induced remains a working hypothesis that requires direct experimental testing in MM models. Future comparative studies should therefore evaluate writer vs. eraser inhibition across distinct MM genotypes, treatment states and microenvironmental contexts and determine whether synthetic vulnerabilities emerge in defined settings.

Major gaps remain regarding heterogeneity and clinical translation. MM is a heterogeneous disease characterized by varying molecular subtypes [such as hyperdiploid, t(11;14) and t(4;14)] (215,216), yet subtype-resolved m6A mapping is still limited. Addressing this will require advanced approaches such as single-cell profiling and high-resolution mapping (217,218). In parallel, translation must account for the essential roles of m6A regulators in normal hematopoiesis and immunity, which raises the risk of on-target toxicity and underscores the need for selective inhibitors/degraders, biomarker-guided patient selection and dosing or delivery strategies that maximize the therapeutic window.

In conclusion, targeting m6A pathways represents a promising but still early strategy for MM, with near-term potential in overcoming drug resistance through rational combinations with standard regimens (such as proteasome inhibitors) (219,220). Key priorities include: i) Clinical/biomarker validation in large, multicenter cohorts integrating m6A regulator profiles with genomic subtype, treatment exposure and outcome; ii) mechanistic replication in advanced models, including patient-derived cells, PDX models and microenvironment-informed or immunocompetent systems; and iii) rational combination strategies with proteasome inhibitors, IMiDs, anti-CD38 antibodies and emerging T-cell redirecting therapies, supported by biomarkers for response and toxicity (221).

Availability of data and materials

Not applicable.

Authors' contributions

YM and MM performed study conception and design. YM and SH wrote the initial draft of the manuscript. MM, DB, YG, NB and WH reviewed and edited the manuscript. MM and WH conducted proofreading and further revisions. YM contributed to the acquisition of funds. Data authentication is not applicable. All authors read and approved the final manuscript.

Ethics approval and consent to participate

Not applicable.

Patient consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Acknowledgements

Not applicable.

Funding

The present study was supported by grants from the National Natural Science Foundation of China (grant no. 82460714), Natural Science Foundation of Xinjiang Uygur Autonomous Region (grant no. 2024D01E17), Xinjiang Uygur Autonomous Region Tianchi Talent Introduction Plan ('TianChi Excellent Award for Young Doctoral Talents'), the Xinjiang Medical University National Young Talent Cultivation Program (grant no. XYD2024GR05) and the Undergraduate Innovation Training Program of Xinjiang Medical University (project no. X202410760050).

References

1 

de Jong MME, Kellermayer Z, Papazian N, Tahri S, Hofste Op Bruinink D, Hoogenboezem R, Sanders MA, van de Woestijne PC, Bos PK, Khandanpour C, et al: The multiple myeloma microenvironment is defined by an inflammatory stromal cell landscape. Nat Immunol. 22:769–780. 2021. View Article : Google Scholar : PubMed/NCBI

2 

Ramberger E, Sapozhnikova V, Ng YLD, Dolnik A, Ziehm M, Popp O, Sträng E, Kull M, Grünschläger F, Krüger J, et al: The proteogenomic landscape of multiple myeloma reveals insights into disease biology and therapeutic opportunities. Nat Cancer. 5:1267–1284. 2024. View Article : Google Scholar : PubMed/NCBI

3 

Guan L, Su W, Zhong J and Qiu L: M-protein detection by mass spectrometry for minimal residual disease in multiple myeloma. Clin Chim Acta. 552:1176232024. View Article : Google Scholar

4 

Kumar SK, Rajkumar V, Kyle RA, van Duin M, Sonneveld P, Mateos MV, Gay F and Anderson KC: Multiple myeloma. Nat Rev Dis Prim. 3:170462017. View Article : Google Scholar : PubMed/NCBI

5 

Mikhael J, Bhutani M and Cole CE: Multiple myeloma for the primary care provider: A practical review to promote earlier diagnosis among diverse populations. Am J Med. 136:33–41. 2023. View Article : Google Scholar

6 

Rajkumar SV: Multiple myeloma: 2022 update on diagnosis, risk stratification, and management. Am J Hematol. 97:10862022. View Article : Google Scholar : PubMed/NCBI

7 

Huang J, Chan SC, Lok V, Zhang L, Lucero-Prisno DE III, Xu W, Zheng ZJ, Elcarte E, Withers M, Wong MCS, et al: The epidemiological landscape of multiple myeloma: A global cancer registry estimate of disease burden, risk factors, and temporal trends. Lancet Haematol. 9:e670–e677. 2022. View Article : Google Scholar : PubMed/NCBI

8 

Das S, Juliana N, Yazit NAA, Azmani S and Abu IF: Multiple myeloma: Challenges encountered and future options for better treatment. Int J Mol Sci. 23:16492022. View Article : Google Scholar : PubMed/NCBI

9 

Mohty M, Facon T, Malard F and Harousseau JL: A roadmap towards improving outcomes in multiple myeloma. Blood Cancer J. 14:1352024. View Article : Google Scholar : PubMed/NCBI

10 

Hu S, Xu J, Cui W, Jin H, Wang X and Maimaitiyiming Y: Post-translational modifications in multiple myeloma: Mechanisms of drug resistance and therapeutic opportunities. Biomolecules. 15:7022025. View Article : Google Scholar : PubMed/NCBI

11 

Rajkumar SV and Kumar S: Multiple myeloma current treatment algorithms. Blood Cancer J. 10:942020. View Article : Google Scholar :

12 

Bhatt P, Kloock C and Comenzo R: Relapsed/refractory multiple myeloma: A review of available therapies and clinical scenarios encountered in myeloma relapse. Curr Oncol. 30:2322–2347. 2023. View Article : Google Scholar : PubMed/NCBI

13 

Zeng L, Huang H, Qirong C, Ruan C, Liu Y, An W, Guo Q and Zhou J: Multiple myeloma patients undergoing chemotherapy: Which symptom clusters impact quality of life? J Clin Nurs. 32:7247–7259. 2023. View Article : Google Scholar : PubMed/NCBI

14 

Goodman RS, Johnson DB and Balko JM: Corticosteroids and cancer immunotherapy. Clin Cancer Res. 29:2580–2587. 2023. View Article : Google Scholar : PubMed/NCBI

15 

Luo H, Feng Y, Wang F, Lin Z, Huang J, Li Q, Wang X, Liu X, Zhai X, Gao Q, et al: Combinations of ivermectin with proteasome inhibitors induce synergistic lethality in multiple myeloma. Cancer Lett. 565:2162182023. View Article : Google Scholar : PubMed/NCBI

16 

Minařík J and Ševčíková S: Immunomodulatory agents for multiple myeloma. Cancers (Basel). 14:57592022. View Article : Google Scholar

17 

Koniarczyk HL, Ferraro C and Miceli T: Hematopoietic stem cell transplantation for multiple myeloma. Semin Oncol Nurs. 33:265–278. 2017. View Article : Google Scholar : PubMed/NCBI

18 

Dima D, Jiang D, Singh DJ, Hasipek M, Shah HS, Ullah F, Khouri J, Maciejewski JP and Jha BK: Multiple myeloma therapy: Emerging trends and challenges. Cancers (Basel). 14:40822022. View Article : Google Scholar : PubMed/NCBI

19 

Sheykhhasan M, Ahmadieh-Yazdi A, Vicidomini R, Poondla N, Tanzadehpanah H, Dirbaziyan A, Mahaki H, Manoochehri H, Kalhor N and Dama P: CAR T therapies in multiple myeloma: Unleashing the future. Cancer Gene Ther. 31:667–686. 2024. View Article : Google Scholar : PubMed/NCBI

20 

Neri P, Leblay N, Lee H, Gulla A, Bahlis NJ and Anderson KC: Just scratching the surface: novel treatment approaches for multiple myeloma targeting cell membrane proteins. Nat Rev Clin Oncol. 21:590–609. 2024. View Article : Google Scholar : PubMed/NCBI

21 

Tam T, Smith E, Lozoya E, Heers H and Andrew Allred P: Roadmap for new practitioners to navigate the multiple myeloma landscape. Heliyon. 8:e105862022. View Article : Google Scholar : PubMed/NCBI

22 

Zhu Y, Jian X, Chen S, An G, Jiang D, Yang Q, Zhang J, Hu J, Qiu Y, Feng X, et al: Targeting gut microbial nitrogen recycling and cellular uptake of ammonium to improve bortezomib resistance in multiple myeloma. Cell Metab. 36:159–175.e8. 2024. View Article : Google Scholar

23 

Neri P, Barwick BG, Jung D, Patton JC, Maity R, Tagoug I, Stein CK, Tilmont R, Leblay N, Ahn S, et al: ETV4-Dependent transcriptional plasticity maintains MYC expression and results in IMiD resistance in multiple myeloma. Blood Cancer Discov. 5:56–73. 2024. View Article : Google Scholar :

24 

Zhang L, Peng X, Ma T, Liu J, Yi Z, Bai J, Li Y, Li L and Zhang L: Natural killer cells affect the natural course, drug resistance, and prognosis of multiple myeloma. Front Cell Dev Biol. 12:13590842024. View Article : Google Scholar : PubMed/NCBI

25 

Malard F, Neri P, Bahlis NJ, Terpos E, Moukalled N, Hungria VTM, Manier S and Mohty M: Multiple myeloma. Nat Rev Dis Prim. 10:452024. View Article : Google Scholar : PubMed/NCBI

26 

Negrete-Rodríguez P, Gallardo-Pérez MM, Lira-Lara O, Melgar-de-la-Paz M, Hamilton-Avilés LE, Ocaña-Ramm G, Robles-Nasta M, Sánchez-Bonilla D, Olivares-Gazca JC, Mateos MV, et al: Prevalence and consequences of a delayed diagnosis in multiple myeloma: A single institution experience. Clin Lymphoma Myeloma Leuk. 24:478–483. 2024. View Article : Google Scholar : PubMed/NCBI

27 

Yang P, Qu Y, Wang M, Chu B, Chen W, Zheng Y, Niu T and Qian Z: Pathogenesis and treatment of multiple myeloma. MedComm (2020). 3:e1462022. View Article : Google Scholar : PubMed/NCBI

28 

Dimopoulos K, Gimsing P and Grønbæk K: The role of epigenetics in the biology of multiple myeloma. Blood Cancer J. 4:e2072014. View Article : Google Scholar : PubMed/NCBI

29 

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 m6A modification of TFEB mRNA, which dictates the fate of hypoxia/reoxygenation-treated cardiomyocytes. Autophagy. 15:1419–1437. 2019. View Article : Google Scholar : PubMed/NCBI

30 

Liu R, Gao Q, Foltz SM, Fowles JS, Yao L, Wang JT, Cao S, Sun H, Wendl MC, Sethuraman S, et al: Co-evolution of tumor and immune cells during progression of multiple myeloma. Nat Commun. 12:25592021. View Article : Google Scholar : PubMed/NCBI

31 

Vo JN, Wu YM, Mishler J, Hall S, Mannan R, Wang L, Ning Y, Zhou J, Hopkins AC, Estill JC, et al: The genetic heterogeneity and drug resistance mechanisms of relapsed refractory multiple myeloma. Nat Commun. 13:37502022. View Article : Google Scholar : PubMed/NCBI

32 

Xu L, Wen C, Xia J, Zhang H, Liang Y and Xu X: Targeted immunotherapy: Harnessing the immune system to battle multiple myeloma. Cell Death Discov. 10:552024. View Article : Google Scholar : PubMed/NCBI

33 

Skerget S, Penaherrera D, Chari A, Jagannath S, Siegel DS, Vij R, Orloff G, Jakubowiak A, Niesvizky R, Liles D, et al: Comprehensive molecular profiling of multiple myeloma identifies refined copy number and expression subtypes. Nat Genet. 56:1878–1889. 2024. View Article : Google Scholar : PubMed/NCBI

34 

Rosselló-Tortella M, Ferrer G and Esteller M: Epitranscriptomics in hematopoiesis and hematologic malignancies. Blood Cancer Discov. 1:26–31. 2020. View Article : Google Scholar : PubMed/NCBI

35 

Frye M, Jaffrey SR, Pan T, Rechavi G and Suzuki T: RNA modifications: What have we learned and where are we headed? Nat Rev Genet. 17:365–372. 2016. View Article : Google Scholar : PubMed/NCBI

36 

Yang C, Han H and Lin S: RNA epitranscriptomics: A promising new avenue for cancer therapy. Mol Ther. 30:2–3. 2022. View Article : Google Scholar

37 

Yang L, Tang L, Min Q, Tian H, Li L, Zhao Y, Wu X, Li M, Du F, Chen Y, et al: Emerging role of RNA modification and long noncoding RNA interaction in cancer. Cancer Gene Ther. 31:816–830. 2024. View Article : Google Scholar : PubMed/NCBI

38 

Pham CT, Rangan L and Schlenner S: RNA modifications-a regulatory dimension yet to be deciphered in immunity. Genes Immun. 24:281–282. 2023. View Article : Google Scholar : PubMed/NCBI

39 

Xue C, Chu Q, Zheng Q, Jiang S, Bao Z, Su Y, Lu J and Li L: Role of main RNA modifications in cancer: N6-methyladenosine, 5-methylcytosine, and pseudouridine. Signal Transduct Target Ther. 7:1422022. View Article : Google Scholar

40 

Deng X, Qing Y, Horne D, Huang H and Chen J: The roles and implications of RNA m6A modification in cancer. Nat Rev Clin Oncol. 20:507–526. 2023. View Article : Google Scholar : PubMed/NCBI

41 

Cui L, Ma R, Cai J, Guo C, Chen Z, Yao L, Wang Y, Fan R, Wang X and Shi Y: RNA modifications: importance in immune cell biology and related diseases. Signal Transduct Target Ther. 7:3342022. View Article : Google Scholar : PubMed/NCBI

42 

Yao L, Yin H, Hong M, Wang Y, Yu T, Teng Y, Li T and Wu Q: RNA methylation in hematological malignancies and its interactions with other epigenetic modifications. Leukemia. 35:1243–1257. 2021. View Article : Google Scholar : PubMed/NCBI

43 

Qing Y, Su R and Chen J: RNA modifications in hematopoietic malignancies: A new research frontier. Blood. 138:637–648. 2021. View Article : Google Scholar : PubMed/NCBI

44 

Chao CT, Kuo FC and Lin SH: Epigenetically regulated inflammation in vascular senescence and renal progression of chronic kidney disease. Semin Cell Dev Biol. 154:305–315. 2024. View Article : Google Scholar

45 

Kan RL, Chen J and Sallam T: Crosstalk between epitranscriptomic and epigenetic mechanisms in gene regulation. Trends Genet. 38:182–193. 2022. View Article : Google Scholar :

46 

Ye Z, Mayila M, Bu N, Hao W and Maimaitiyiming Y: Epigenetic and epitranscriptomic landscape of phthalate toxicity: Implications for human health and disease. Environ Pollut. 391:1275592026. View Article : Google Scholar

47 

Frye M, Harada BT, Behm M and He C: RNA modifications modulate gene expression during development. Science. 361:1346–1349. 2018. View Article : Google Scholar : PubMed/NCBI

48 

Qiu L, Jing Q, Li Y and Han J: RNA modification: Mechanisms and therapeutic targets. Mol Biomed. 4:252023. View Article : Google Scholar : PubMed/NCBI

49 

Sun H, Li K, Liu C and Yi C: Regulation and functions of non-m6A mRNA modifications. Nat Rev Mol Cell Biol. 24:714–731. 2023. View Article : Google Scholar : PubMed/NCBI

50 

Martinez De La Cruz B, Darsinou M and Riccio A: From form to function: m6A methylation links mRNA structure to metabolism. Adv Biol Regul. 87:1009262023. View Article : Google Scholar

51 

Deng LJ, Deng WQ, Fan SR, Chen MF, Qi M, Lyu WY, Qi Q, Tiwari AK, Chen JX, Zhang DM and Chen ZS: m6A modification: Recent advances, anticancer targeted drug discovery and beyond. Mol Cancer. 21:522022. View Article : Google Scholar : PubMed/NCBI

52 

Su Y, Maimaitiyiming Y, Wang L, Cheng X and Hsu CH: Modulation of phase separation by RNA: A glimpse on N6-Methyladenosine modification. Front Cell Dev Biol. 9:7864542021. View Article : Google Scholar

53 

Mendel M, Delaney K, Pandey RR, Chen KM, Wenda JM, Vågbø CB, Steiner FA, Homolka D and Pillai RS: Splice site m6A methylation prevents binding of U2AF35 to inhibit RNA splicing. Cell. 184:3125–3142.e25. 2021. View Article : Google Scholar

54 

Aufgebauer CJ, Bland KM and Horner SM: Modifying the antiviral innate immune response by selective writing, erasing, and reading of m6A on viral and cellular RNA. Cell Chem Biol. 31:100–109. 2024. View Article : Google Scholar : PubMed/NCBI

55 

Lee SY, Kim JJ and Miller KM: Emerging roles of RNA modifications in genome integrity. Brief Funct Genomics. 20:106–112. 2021. View Article : Google Scholar :

56 

Zaccara S, Ries RJ and Jaffrey SR: Reading, writing and erasing mRNA methylation. Nat Rev Mol Cell Biol. 20:608–624. 2019. View Article : Google Scholar : PubMed/NCBI

57 

Esteva-Socias M and Aguilo F: METTL3 as a master regulator of translation in cancer: Mechanisms and implications. NAR Cancer. 6:zcae0092024. View Article : Google Scholar : PubMed/NCBI

58 

Yan X, Liu F, Yan J, Hou M, Sun M, Zhang D, Gong Z, Dong X, Tang C and Yin P: WTAP-VIRMA counteracts dsDNA binding of the m(6)A writer METTL3-METTL14 complex and maintains N(6)-adenosine methylation activity. Cell Discov. 9:1002023. View Article : Google Scholar : PubMed/NCBI

59 

Yang Z, Zhang S, Xiong J, Xia T, Zhu R, Miao M, Li K, Chen W, Zhang L, You Y and You B: The m6A demethylases FTO and ALKBH5 aggravate the malignant progression of nasopharyngeal carcinoma by coregulating ARHGAP35. Cell Death Discov. 10:432024. View Article : Google Scholar

60 

Zou Z, Sepich-Poore C, Zhou X, Wei J and He C: The mechanism underlying redundant functions of the YTHDF proteins. Genome Biol. 24:172023. View Article : Google Scholar : PubMed/NCBI

61 

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. 61:507–519. 2016. View Article : Google Scholar : PubMed/NCBI

62 

Huang H, Weng H, Sun W, Qin X, Shi H, Wu H, Zhao BS, Mesquita A, Liu C, Yuan CL, et al: Recognition of RNA N 6 -methyladenosine by IGF2BP proteins enhances mRNA stability and translation. Nat Cell Biol. 20:285–295. 2018. View Article : Google Scholar : PubMed/NCBI

63 

Alarcón CR, Goodarzi H, Lee H, Liu X, Tavazoie S and Tavazoie SF: HNRNPA2B1 is a mediator of m6A-dependent nuclear RNA processing events. Cell. 162:1299–1308. 2015. View Article : Google Scholar

64 

Xu W, Huang Z, Xiao Y, Li W, Xu M, Zhao Q and Yi P: HNRNPC promotes estrogen receptor-positive breast cancer cell cycle by stabilizing WDR77 mRNA in an m6A-dependent manner. Mol Carcinog. 63:859–873. 2024. View Article : Google Scholar : PubMed/NCBI

65 

Meyer KD, Patil DP, Zhou J, Zinoviev A, Skabkin MA, Elemento O, Pestova TV, Qian SB and Jaffrey SR: 5' UTR m6A promotes cap-independent translation. Cell. 163:999–1010. 2015. View Article : Google Scholar : PubMed/NCBI

66 

Zhang F, Kang Y, Wang M, Li Y, Xu T, Yang W, Song H, Wu H, Shu Q and Jin P: Fragile X mental retardation protein modulates the stability of its m6A-marked messenger RNA targets. Hum Mol Genet. 27:3936–3950. 2018.PubMed/NCBI

67 

Mao-Mao, Zhang JJ, Xu YP, Shao MM and Wang MC: Regulatory effects of natural products on N6-methyladenosine modification: A novel therapeutic strategy for cancer. Drug Discov Today. 29:1038752024. View Article : Google Scholar : PubMed/NCBI

68 

Zhu ZM, Huo FC, Zhang J, Shan HJ and Pei DS: Crosstalk between m6A modification and alternative splicing during cancer progression. Clin Transl Med. 13:e14602023. View Article : Google Scholar : PubMed/NCBI

69 

Jain S, Koziej L, Poulis P, Kaczmarczyk I, Gaik M, Rawski M, Ranjan N, Glatt S and Rodnina MV: Modulation of translational decoding by m6A modification of mRNA. Nat Commun. 14:47842023. View Article : Google Scholar

70 

Qiao Y, Sun Q, Chen X, He L, Wang D, Su R, Xue Y, Sun H and Wang H: Nuclear m6A Reader YTHDC1 promotes muscle stem cell activation/proliferation by regulating mRNA splicing and nuclear export. Elife. 12:e827032023. View Article : Google Scholar : PubMed/NCBI

71 

Boulias K and Greer EL: Biological roles of adenine methylation in RNA. Nat Rev Genet. 24:143–160. 2023. View Article : Google Scholar

72 

Wang Y, Li Y, Skuland T, Zhou C, Li A, Hashim A, Jermstad I, Khan S, Dalen KT, Greggains GD, et al: The RNA m6A landscape of mouse oocytes and preimplantation embryos. Nat Struct Mol Biol. 30:703–709. 2023. View Article : Google Scholar : PubMed/NCBI

73 

Wen J, Lv R, Ma H, Shen H, He C, Wang J, Jiao F, Liu H, Yang P, Tan L, et al: Zc3h13 regulates nuclear RNA m6A methylation and mouse embryonic stem cell self-renewal. Mol Cell. 69:1028–1038.e6. 2018. View Article : Google Scholar

74 

Yoon KJ, Ringeling FR, Vissers C, Jacob F, Pokrass M, Jimenez-Cyrus D, Su Y, Kim NS, Zhu Y, Zheng L, et al: Temporal control of mammalian cortical neurogenesis by m6A methylation. Cell. 171:877–889.e17. 2017. View Article : Google Scholar

75 

Wang L, Maimaitiyiming Y, Su K and Hsu CH: RNA m6A Modification: The Mediator Between Cellular Stresses and Biological Effects. RNA Technologies. 12:353–390. 2021. View Article : Google Scholar

76 

Xiang Y, Laurent B, Hsu CH, Nachtergaele S, Lu Z, Sheng W, Xu C, Chen H, Ouyang J, Wang S, et al: RNA m(6)A methylation regulates the ultraviolet-induced DNA damage response. Nature. 543:573–576. 2017. View Article : Google Scholar : PubMed/NCBI

77 

Wang L, Zhan G, Maimaitiyiming Y, Su Y, Lin S, Liu J, Su K, Lin J, Shen S, He W, et al: m6A modification confers thermal vulnerability to HPV E7 oncotranscripts via reverse regulation of its reader protein IGF2BP1 upon heat stress. Cell Rep. 41:1115462022. View Article : Google Scholar

78 

Engel M, Eggert C, Kaplick PM, Eder M, Röh S, Tietze L, Namendorf C, Arloth J, Weber P, Rex-Haffner M, et al: The role of m6A/m-RNA methylation in stress response regulation. Neuron. 99:389–403.e9. 2018. View Article : Google Scholar

79 

Chuong NN, Doan PPT, Wang L, Kim JH and Kim J: Current insights into m6A RNA methylation and its emerging role in plant circadian clock. Plants (Basel). 12:6242023.

80 

Yang Y, Fan X, Mao M, Song X, Wu P, Zhang Y, Jin Y, Yang Y, Chen LL, Wang Y, et al: Extensive translation of circular RNAs driven by N 6 -methyladenosine. Cell Res. 27:626–641. 2017. View Article : Google Scholar : PubMed/NCBI

81 

Alarcón CR, Lee H, Goodarzi H, Halberg N and Tavazoie SF: N6-methyladenosine marks primary microRNAs for processing. Nature. 519:482–485. 2015. View Article : Google Scholar : PubMed/NCBI

82 

Ma JZ, Yang F, Zhou CC, Liu F, Yuan JH, Wang F, Wang TT, Xu QG, Zhou WP and Sun SH: METTL14 suppresses the metastatic potential of hepatocellular carcinoma by modulating N6-methyladenosine-dependent primary MicroRNA processing. Hepatology. 65:529–543. 2017. View Article : Google Scholar

83 

Deng S, Zhang J, Su J, Zuo Z, Zeng L, Liu K, Zheng Y, Huang X, Bai R, Zhuang L, et al: RNA m6A regulates transcription via DNA demethylation and chromatin accessibility. Nat Genet. 54:1427–1437. 2022. View Article : Google Scholar : PubMed/NCBI

84 

Höfler S and Duss O: Interconnections between m6 A RNA modification, RNA structure, and protein-RNA complex assembly. Life Sci Alliance. 7:e2023022402024. View Article : Google Scholar

85 

Vaid R, Thombare K, Mendez A, Burgos-Panadero R, Djos A, Jachimowicz D, Lundberg KI, Bartenhagen C, Kumar N, Tümmler C, et al: MET TL3 drives telomere targ eting of TERRA lncRNA through m 6 A-dependent R-loop formation: A therapeutic target for ALT-positive neuroblastoma. Nucleic Acids Res. 52:2648–2671. 2024. View Article : Google Scholar : PubMed/NCBI

86 

Lee SY, Lee SH, Kwak MJ, Kim JY, Perren JO, Miller KM and Kim JJ: Depletion of BRD9-mediated R-loop accumulation inhibits leukemia cell growth via transcription-replication conflict. Nucleic Acids Res. 53:gkaf6132025. View Article : Google Scholar : PubMed/NCBI

87 

Verghese M, Wilkinson E and He YY: Role of RNA modifications in carcinogenesis and carcinogen damage response. Mol Carcinog. 62:24–37. 2023. View Article : Google Scholar :

88 

Yang J, Xu J, Wang W, Zhang B, Yu X and Shi S: Epigenetic regulation in the tumor microenvironment: Molecular mechanisms and therapeutic targets. Signal Transduct Target Ther. 8:2102023. View Article : Google Scholar : PubMed/NCBI

89 

Lin S and Kuang M: RNA modification-mediated mRNA translation regulation in liver cancer: Mechanisms and clinical perspectives. Nat Rev Gastroenterol Hepatol. 21:267–281. 2024. View Article : Google Scholar : PubMed/NCBI

90 

Dong L, Cao Y, Hou Y and Liu G: N6-methyladenosine RNA methylation: A novel regulator of the development and function of immune cells. J Cell Physiol. 237:329–345. 2022. View Article : Google Scholar

91 

Delaunay S, Helm M and Frye M: RNA modifications in physiology and disease: Towards clinical applications. Nat Rev Genet. 25:104–122. 2024. View Article : Google Scholar

92 

Berdasco M and Esteller M: Towards a druggable epitranscriptome: Compounds that target RNA modifications in cancer. Br J Pharmacol. 179:2868–2889. 2022. View Article : Google Scholar

93 

Zheng J, Lu Y, Lin Y, Si S, Guo B, Zhao X and Cui L: Epitranscriptomic modifications in mesenchymal stem cell differentiation: Advances, mechanistic insights, and beyond. Cell Death Differ. 31:9–27. 2024. View Article : Google Scholar

94 

Delaunay S and Frye M: RNA modifications regulating cell fate in cancer. Nat Cell Biol. 21:552–559. 2019. View Article : Google Scholar : PubMed/NCBI

95 

Shi J, Zhang Q, Yin X, Ye J, Gao S, Chen C, Yang Y, Wu B, Fu Y, Zhang H, et al: Stabilization of IGF2BP1 by USP10 promotes breast cancer metastasis via CPT1A in an m6A-dependent manner. Int J Biol Sci. 19:449–464. 2023. View Article : Google Scholar : PubMed/NCBI

96 

Lv D, Gimple RC, Zhong C, Zhong C, Wu Q, Yang K, Prager BC, Godugu B, Qiu Z, Zhao L, et al: PDGF signaling inhibits mitophagy in glioblastoma stem cells through N6-methyladenosine. Dev Cell. 57:1466–1481.e6. 2022. View Article : Google Scholar

97 

Feng Y, Yuan P, Guo H, Gu L, Yang Z, Wang J, Zhu W, Zhang Q, Cao J, Wang L and Jiao Y: METTL3 mediates epithelial-mesenchymal transition by modulating FOXO1 mRNA N6-Methyladenosine-Dependent YTHDF2 Binding: A novel mechanism of radiation-induced lung injury. Adv Sci (Weinh). 10:e22047842023. View Article : Google Scholar

98 

Geula S, Moshitch-Moshkovitz S, Dominissini D, Mansour AA, Kol N, Salmon-Divon M, Hershkovitz V, Peer E, Mor N, Manor YS, et al: Stem Cells m6A mRNA methylation facilitates resolution of naïve pluripotency toward differentiation. Science. 347:1002–1006. 2015. View Article : Google Scholar : PubMed/NCBI

99 

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. 18:1272019. View Article : Google Scholar : PubMed/NCBI

100 

Zhang S, Zhao BS, Zhou A, Lin K, Zheng S, Lu Z, Chen Y, Sulman EP, Xie K, Bögler O, et al: m6A demethylase ALKBH5 maintains tumorigenicity of glioblastoma stem-like cells by sustaining FOXM1 expression and cell proliferation program. Cancer Cell. 31:591–606.e6. 2017. View Article : Google Scholar

101 

Xiao S, Ma S, Sun B, Pu W, Duan S, Han J, Hong Y, Zhang J, Peng Y, He C, et al: The tumor-intrinsic role of the m6A reader YTHDF2 in regulating immune evasion. Sci Immunol. 9:eadl21712024. View Article : Google Scholar

102 

Wang X, Zhao BS, Roundtree IA, Lu Z, Han D, Ma H, Weng X, Chen K, Shi H and He C: N6-methyladenosine modulates messenger RNA translation efficiency. Cell. 161:1388–1399. 2015. View Article : Google Scholar : PubMed/NCBI

103 

Zeng L, Huang X, Zhang J, Lin D and Zheng J: Roles and implications of mRNA N6-methyladenosine in cancer. Cancer Commun (Lond). 43:729–748. 2023. View Article : Google Scholar : PubMed/NCBI

104 

Zhuang H, Yu B, Tao D, Xu X, Xu Y, Wang J, Jiao Y and Wang L: The role of m6A methylation in therapy resistance in cancer. Mol Cancer. 22:912023. View Article : Google Scholar : PubMed/NCBI

105 

Jin Z, MacPherson K, Liu Z and Vu LP: RNA modifications in hematological malignancies. Int J Hematol. 117:807–820. 2023. View Article : Google Scholar : PubMed/NCBI

106 

Lv J, Zhang Y, Gao S, Zhang C, Chen Y, Li W, Yang YG, Zhou Q and Liu F: Endothelial-specific m6A modulates mouse hematopoietic stem and progenitor cell development via Notch signaling. Cell Res. 28:249–252. 2018. View Article : Google Scholar

107 

Li Z, Weng H, Su R, Weng X, Zuo Z, Li C, Huang H, Nachtergaele S, Dong L, Hu C, et al: FTO plays an oncogenic role in acute myeloid leukemia as a N6-Methyladenosine RNA demethylase. Cancer Cell. 31:127–141. 2017. View Article : Google Scholar

108 

Vu LP, Pickering BF, Cheng Y, Zaccara S, Nguyen D, Minuesa G, Chou T, Chow A, Saletore Y, MacKay M, et al: The N 6 -methyl-adenosine (m 6 A)-forming enzyme METTL3 controls myeloid differentiation of normal hematopoietic and leukemia cells. Nat Med. 23:1369–1376. 2017. View Article : Google Scholar : PubMed/NCBI

109 

Barbieri I, Tzelepis K, Pandolfini L, Shi J, Millán-Zambrano G, Robson SC, Aspris D, Migliori V, Bannister AJ, Han N, et al: Promoter-bound METTL3 maintains myeloid leukaemia by m6A-dependent translation control. Nature. 552:126–131. 2017. View Article : Google Scholar : PubMed/NCBI

110 

Zhang N, Shen Y, Li H, Chen Y, Zhang P, Lou S and Deng J: The m6A reader IGF2BP3 promotes acute myeloid leukemia progression by enhancing RCC2 stability. Exp Mol Med. 54:194–205. 2022. View Article : Google Scholar : PubMed/NCBI

111 

Wilkinson E, Cui YH and He YY: Context-dependent roles of RNA modifications in stress responses and diseases. Int J Mol Sci. 22:19492021. View Article : Google Scholar : PubMed/NCBI

112 

Wang J, Zuo Y, Lv C, Zhou M and Wan Y: N6-methyladenosine regulators are potential prognostic biomarkers for multiple myeloma. IUBMB Life. 75:137–148. 2023. View Article : Google Scholar :

113 

Deng Y, Zhu H and Peng H: Enhancing staging in multiple myeloma using an m6A regulatory gene-pairing model. Clin Exp Med. 25:402025. View Article : Google Scholar : PubMed/NCBI

114 

Bao J, Xu T, Wang W, Xu H, Chen X and Xia R: N6-methyladenosine-induced miR-182-5p promotes multiple myeloma tumorigenesis by regulating CAMK2N1. Mol Cell Biochem. 479:3077–3089. 2024. View Article : Google Scholar : PubMed/NCBI

115 

Che F, Ye X, Wang Y, Wang X, Ma S, Tan Y, Mao Y and Luo Z: METTL3 facilitates multiple myeloma tumorigenesis by enhancing YY1 stability and pri-microRNA-27 maturation in m6A-dependent manner. Cell Biol Toxicol. 39:2033–2050. 2023. View Article : Google Scholar

116 

Huang X, Yang Z, Li Y and Long X: m6A methyltransferase METTL3 facilitates multiple myeloma cell growth through the m6A modification of BZW2. Ann Hematol. 102:1801–1810. 2023. View Article : Google Scholar : PubMed/NCBI

117 

Lu X, Li Y, Li R, Zhang J, Peng J and Zhang Y: Regulatory role of the METTL3/MALAT1 axis in multiple myeloma progression. J Bone Oncol. 53:1006952025. View Article : Google Scholar : PubMed/NCBI

118 

Zhao Y, Zhang E, Lv N, Ma L, Yao S, Yan M, Zi F, Deng G, Liu X, He J, et al: Metformin and FTY720 synergistically induce apoptosis in multiple myeloma cells. Cell Physiol Biochem. 48:785–800. 2018. View Article : Google Scholar : PubMed/NCBI

119 

Gao L, Li L, Hu J, Li G, Zhang Y, Dai X, De Z and Xu F: Metformin inhibits multiple myeloma serum-induced endothelial cell thrombosis by down-regulating miR-532. Ann Vasc Surg. 85:347–357.e2. 2022. View Article : Google Scholar : PubMed/NCBI

120 

Chen CJ, Huang JY, Huang JQ, Deng JY, Shangguan XH, Chen AZ, Chen LT and Wu WH: Metformin attenuates multiple myeloma cell proliferation and encourages apoptosis by suppressing METTL3-mediated m6A methylation of THRAP3, RBM25, and USP4. Cell Cycle. 22:986–1004. 2023. View Article : Google Scholar : PubMed/NCBI

121 

Jiang J, Zhong F, Xiao Z, Yao F, Liu J, Li M, Zeng H, Qiu Y, Zhang J, Zhang H, et al: METTL5 regulates SEPHS2-mediated selenoprotein synthesis to promote multiple myeloma survival and progression. Cell Death Dis. 16:5852025. View Article : Google Scholar : PubMed/NCBI

122 

Wu Y, Luo Y, Yao X, Shi X, Xu Z, Re J, Shi M, Li M, Liu J, He Y and Du X: KIAA1429 increases FOXM1 expression through YTHDF1-mediated m6A modification to promote aerobic glycolysis and tumorigenesis in multiple myeloma. Cell Biol Toxicol. 40:582024. View Article : Google Scholar : PubMed/NCBI

123 

Su Q, Liu W, Wang P and Wang M: Long non-coding RNA FEZF1-AS1 suppresses ferroptosis in multiple myeloma cells through KIAA1429-mediated m6A modification. Hum Cell. 38:1782025. View Article : Google Scholar : PubMed/NCBI

124 

Xu H, Xu M, Ding J and Bao J: WTAP promotes the proliferation of multiple myeloma by regulating the hippo pathway through m(6)A modification of MAP6D1. Leuk Lymphoma. 67:148–163. 2026. View Article : Google Scholar

125 

Jia Y, Yu X, Liu R, Shi L, Jin H, Yang D, Zhang X, Shen Y, Feng Y, Zhang P, et al: PRMT1 methylation of WTAP promotes multiple myeloma tumorigenesis by activating oxidative phosphorylation via m6A modification of NDUFS6. Cell Death Dis. 14:5122023. View Article : Google Scholar : PubMed/NCBI

126 

Hua Z, Wei R, Guo M, Lin Z, Yu X, Li X, Gu C and Yang Y: YTHDF2 promotes multiple myeloma cell proliferation via STAT5A/MAP2K2/p-ERK axis. Oncogene. 41:1482–1491. 2022. View Article : Google Scholar : PubMed/NCBI

127 

Liu R, Miao J, Jia Y, Kong G, Hong F, Li F, Zhai M, Zhang R, Liu J, Xu X, et al: N6-methyladenosine reader YTHDF2 promotes multiple myeloma cell proliferation through EGR1/p21cip1/waf1/CDK2-Cyclin E1 axis-mediated cell cycle transition. Oncogene. 42:1607–1619. 2023. View Article : Google Scholar : PubMed/NCBI

128 

Xu J, Wang Y, Ren L, Li P and Liu P: IGF2BP1 promotes multiple myeloma with chromosome 1q gain via increasing CDC5L expression in an m6A-dependent manner. Genes Dis. 12:1012142024. View Article : Google Scholar

129 

Bernstein ZS, Kim EB and Raje N: Bone disease in multiple myeloma: Biologic and clinical implications. Cells. 11:23082022. View Article : Google Scholar : PubMed/NCBI

130 

Terpos E, Ntanasis-Stathopoulos I, Gavriatopoulou M and Dimopoulos MA: Pathogenesis of bone disease in multiple myeloma: From bench to bedside. Blood Cancer J. 8:72018. View Article : Google Scholar : PubMed/NCBI

131 

Liu R, Zhong Y, Chen R, Chu C, Liu G, Zhou Y, Huang Y, Fang Z and Liu H: m6A reader hnRNPA2B1 drives multiple myeloma osteolytic bone disease. Theranostics. 12:7760–7774. 2022. View Article : Google Scholar

132 

Jiang F, Tang X, Tang C, Hua Z, Ke M, Wang C, Zhao J, Gao S, Jurczyszyn A, Janz S, et al: HNRNPA2B1 promotes multiple myeloma progression by increasing AKT3 expression via m6A-dependent stabilization of ILF3 mRNA. J Hematol Oncol. 14:542021. View Article : Google Scholar : PubMed/NCBI

133 

Guo Y, Jia C, Wang X, Luo K, Chi L, Xu Q, Gong T and Quan L: HNRNPA2B1 promotes the progression of multiple myeloma via endoplasmic reticulum stress and autophagy mediated by CK2 Kinase. J Proteome Res. 24:5921–5931. 2025. View Article : Google Scholar : PubMed/NCBI

134 

Tang J, Li J, Qin S, Xiao Y, Liu J, Chen X and Zhang Y: Identification and validation of the m6A-binding protein LRPPRC to promote tumorigenesis in multiple myeloma. Hematology. 30:25230822025. View Article : Google Scholar : PubMed/NCBI

135 

Yao L, Li T, Teng Y, Guo J, Zhang H, Xia L and Wu Q: ALKHB5-demethylated lncRNA SNHG15 promotes myeloma tumorigenicity by increasing chromatin accessibility and recruiting H3K36me3 modifier SETD2. Am J Physiol Cell Physiol. 326:C684–C697. 2024. View Article : Google Scholar :

136 

Yu T, Yao L, Yin H, Teng Y, Hong M and Wu Q: ALKBH5 promotes multiple myeloma tumorigenicity through inducing m6A-demethylation of SAV1 mRNA and myeloma stem cell phenotype. Int J Biol Sci. 18:2235–2248. 2022. View Article : Google Scholar

137 

Qu J, Hou Y, Chen Q, Chen J, Li Y, Zhang E, Gu H, Xu R, Liu Y, Cao W, et al: RNA demethylase ALKBH5 promotes tumorigenesis in multiple myeloma via TRAF1-mediated activation of NF-κB and MAPK signaling pathways. Oncogene. 41:400–413. 2022. View Article : Google Scholar :

138 

Badraldin SQ, Alfarttoosi KH, Sameer HN, Bishoyi AK, Ganesan S, Shankhyan A, Ray S, Nathiya D, Yaseen A, Athab ZH and Adil M: Mechanistic role of FTO in cancer pathogenesis, immune evasion, chemotherapy resistance, and immunotherapy response. Semin Oncol. 52:1523682025. View Article : Google Scholar : PubMed/NCBI

139 

Xu A, Zhang J, Zuo L, Yan H, Chen L, Zhao F, Fan F, Xu J, Zhang B, Zhang Y, et al: FTO promotes multiple myeloma progression by posttranscriptional activation of HSF1 in an m6A-YTHDF2-dependent manner. Mol Ther. 30:1104–1118. 2022. View Article : Google Scholar

140 

Li JJ, Yu T, Zeng P, Tian J, Liu P, Qiao S, Wen S, Hu Y, Liu Q, Lu W, et al: Wild-type IDH2 is a therapeutic target for triple-negative breast cancer. Nat Commun. 15:34452024. View Article : Google Scholar : PubMed/NCBI

141 

Song S, Fan G, Li Q, Su Q, Zhang X, Xue X, Wang Z, Qian C, Jin Z, Li B and Zhuang W: IDH2 contributes to tumorigenesis and poor prognosis by regulating m6A RNA methylation in multiple myeloma. Oncogene. 40:5393–5402. 2021. View Article : Google Scholar : PubMed/NCBI

142 

Zhang Y, Deng Z, Sun S, Xie S, Jiang M, Chen B, Gu C and Yang Y: NAT10 acetylates BCL-XL mRNA to promote the proliferation of multiple myeloma cells through PI3K-AKT pathway. Front Oncol. 12:9678112022. View Article : Google Scholar : PubMed/NCBI

143 

Liu H, Zhang X, Lu Q and Zhang H: NAT10 contributes to the progression of multiple myeloma through ac4C modification of GPR37. Hematology. 30:25557792025. View Article : Google Scholar : PubMed/NCBI

144 

Ren H, Liu C, Wu H, Wang Z, Chen S, Zhang X, Ren J, Qiu H and Zhou L: m5C Regulator-mediated methylation modification clusters contribute to the immune microenvironment regulation of multiple myeloma. Front Genet. 13:9201642022. View Article : Google Scholar

145 

Jiang Y, Sun J, Chen Y, Cheng L, Feng S, Wang Y and Sun C: NSUN2-mediated RNA m(5)C modification drives multiple myeloma progression by enhancing the stability of HIP1 mRNA. Sci Rep. 15:278882025. View Article : Google Scholar : PubMed/NCBI

146 

Fu J, Han X, Gao W, Yu M and Cui X: m1A regulator-mediated methylation modifications and gene signatures and their prognostic value in multiple myeloma. Exp Ther Med. 29:182025. View Article : Google Scholar

147 

Cohen YC, Zada M, Wang SY, Bornstein C, David E, Moshe A, Li B, Shlomi-Loubaton S, Gatt ME, Gur C, et al: Identification of resistance pathways and therapeutic targets in relapsed multiple myeloma patients through single-cell sequencing. Nat Med. 27:491–503. 2021. View Article : Google Scholar : PubMed/NCBI

148 

Ferguson ID, Patiño-Escobar B, Tuomivaara ST, Lin YT, Nix MA, Leung KK, Kasap C, Ramos E, Nieves Vasquez W, Talbot A, et al: The surfaceome of multiple myeloma cells suggests potential immunotherapeutic strategies and protein markers of drug resistance. Nat Commun. 13:41212022. View Article : Google Scholar : PubMed/NCBI

149 

Sun J, Corradini S, Azab F, Shokeen M, Muz B, Miari KE, Maksimos M, Diedrich C, Asare O, Alhallak K, et al: IL-10R inhibition reprograms tumor-associated macrophages and reverses drug resistance in multiple myeloma. Leukemia. 38:2355–2365. 2024. View Article : Google Scholar : PubMed/NCBI

150 

Bird S and Pawlyn C: IMiD resistance in multiple myeloma: Current understanding of the underpinning biology and clinical impact. Blood. 142:131–140. 2023.PubMed/NCBI

151 

Tzelepis K, Rausch O and Kouzarides T: RNA-modifying enzymes and their function in a chromatin context. Nat Struct Mol Biol. 26:858–862. 2019. View Article : Google Scholar : PubMed/NCBI

152 

Chen H, Jia B, Zhang Q and Zhang Y: Meclofenamic acid restores gefinitib sensitivity by downregulating breast cancer resistance protein and multidrug resistance protein 7 via FTO/m6A-Demethylation/c-Myc in non-small cell lung cancer. Front Oncol. 12:8706362022. View Article : Google Scholar : PubMed/NCBI

153 

Yuan J, Guan W, Li X, Wang F, Liu H and Xu G: RBM15-mediating MDR1 mRNA m6A methylation regulated by the TGF-β signaling pathway in paclitaxel-resistant ovarian cancer. Int J Oncol. 63:1122023. View Article : Google Scholar

154 

Liu R, Shen Y, Hu J, Wang X, Wu D, Zhai M, Bai J and He A: Comprehensive Analysis of m6A RNA methylation regulators in the prognosis and immune microenvironment of multiple myeloma. Front Oncol. 11:7319572021. View Article : Google Scholar : PubMed/NCBI

155 

Wang C, Li L, Li M, Wang W and Jiang Z: FTO promotes Bortezomib resistance via m6A-dependent destabilization of SOD2 expression in multiple myeloma. Cancer Gene Ther. 30:622–628. 2023. View Article : Google Scholar

156 

Prabhu KS, Ahmad F, Kuttikrishnan S, Leo R, Ali TA, Izadi M, Mateo JM, Alam M, Ahmad A, Al-Shabeeb Akil AS, et al: Bortezomib exerts its anti-cancer activity through the regulation of Skp2/p53 axis in non-melanoma skin cancer cells and C. elegans. Cell Death Discov. 10:2252024. View Article : Google Scholar : PubMed/NCBI

157 

Sogbein O, Paul P, Umar M, Chaari A, Batuman V and Upadhyay R: Bortezomib in cancer therapy: Mechanisms, side effects, and future proteasome inhibitors. Life Sci. 358:1231252024. View Article : Google Scholar : PubMed/NCBI

158 

Hurt EM, Thomas SB, Peng B and Farrar WL: Integrated molecular profiling of SOD2 expression in multiple myeloma. Blood. 109:3953–3962. 2007. View Article : Google Scholar

159 

Hodge DR, Peng B, Pompeia C, Thomas S, Cho E, Clausen PA, Marquez VE and Farrar WL: Epigenetic silencing of manganese superoxide dismutase (SOD-2) in KAS 6/1 human multiple myeloma cells increases cell proliferation. Cancer Biol Ther. 4:585–592. 2005. View Article : Google Scholar : PubMed/NCBI

160 

Song IS, Kim HK, Lee SR, Jeong SH, Kim N, Ko KS, Rhee BD and Han J: Mitochondrial modulation decreases the bortezomib-resistance in multiple myeloma cells. Int J Cancer. 133:1357–1367. 2013. View Article : Google Scholar : PubMed/NCBI

161 

Jomova K, Alomar SY, Alwasel SH, Nepovimova E, Kuca K and Valko M: Several lines of antioxidant defense against oxidative stress: antioxidant enzymes, nanomaterials with multiple enzyme-mimicking activities, and low-molecular-weight antioxidants. Arch Toxicol. 98:1323–1367. 2024. View Article : Google Scholar : PubMed/NCBI

162 

Huang R, Chen H, Liang J, Li Y, Yang J, Luo C, Tang Y, Ding Y, Liu X, Yuan Q, et al: Dual role of reactive oxygen species and their application in cancer therapy. J Cancer. 12:5543–5561. 2021. View Article : Google Scholar : PubMed/NCBI

163 

Jahankhani K, Taghipour N, Nikoonezhad M, Behboudi H, Mehdizadeh M, Kadkhoda D, Hajifathali A and Mosaffa N: Adjuvant therapy with zinc supplementation; anti-inflammatory and anti-oxidative role in multiple myeloma patients receiving autologous hematopoietic stem cell transplantation: A randomized controlled clinical trial. Biometals. 37:1609–1627. 2024. View Article : Google Scholar : PubMed/NCBI

164 

Yu W, Cao D, Zhou H, Hu Y and Guo T: PGC-1α is responsible for survival of multiple myeloma cells under hyperglycemia and chemotherapy. Oncol Rep. 33:2086–2092. 2015. View Article : Google Scholar : PubMed/NCBI

165 

Zhang Y, Cao X, Li W, Cui Z, Mao J, Yao R and Liu L: ALKBH5 reverses romidepsin-mediated anti-multiple myeloma activity via regulation of m6A modification of FOXM1. Biochem Pharmacol. 239:1169982025. View Article : Google Scholar : PubMed/NCBI

166 

Quan L, Jia C, Guo Y, Chen Y, Wang X, Xu Q and Zhang Y: HNRNPA2B1-mediated m6A modification of TLR4 mRNA promotes progression of multiple myeloma. J Transl Med. 20:5372022. View Article : Google Scholar : PubMed/NCBI

167 

Giallongo C, Tibullo D, Puglisi F, Barbato A, Vicario N, Cambria D, Parrinello NL, Romano A, Conticello C, Forte S, et al: Inhibition of TLR4 signaling affects mitochondrial fitness and overcomes bortezomib resistance in myeloma plasma cells. Cancers (Basel). 12:19992020. View Article : Google Scholar : PubMed/NCBI

168 

Bagratuni T, Sklirou AD, Kastritis E, Liacos CI, Spilioti C, Eleutherakis-Papaiakovou E, Kanellias N, Gavriatopoulou M, Terpos E, Trougakos IP and Dimopoulos MA: Toll-like receptor 4 activation promotes multiple myeloma cell growth and survival via suppression of the endoplasmic reticulum stress factor chop. Sci Rep. 9:32452019. View Article : Google Scholar : PubMed/NCBI

169 

Jiang S, Gao L, Li J, Zhang F, Zhang Y and Liu J: N6-methyladenosine-modified circ_0000337 sustains bortezomib resistance in multiple myeloma by regulating DNA repair. Front Cell Dev Biol. 12:13832322024. View Article : Google Scholar : PubMed/NCBI

170 

Wang G and Wu W, He D, Wang J, Kong H and Wu W: N6-methyladenosine-mediated upregulation of H19 promotes resistance to bortezomib by modulating the miR-184/CARM1 axis in multiple myeloma. Clin Exp Med. 25:1022025. View Article : Google Scholar : PubMed/NCBI

171 

Wang Z, He J, Bach DH, Huang YH, Li Z, Liu H, Lin P and Yang J: Induction of m6A methylation in adipocyte exosomal LncRNAs mediates myeloma drug resistance. J Exp Clin Cancer Res. 41:42022. View Article : Google Scholar

172 

Sun X, Zhou Y, Zhu W and Chen H: Research progress on N6-methyladenosine and non-coding RNA in multiple myeloma. Discov Oncol. 16:6152025. View Article : Google Scholar : PubMed/NCBI

173 

Huang Y, Xia W, Dong Z and Yang CG: Chemical inhibitors targeting the oncogenic m6A Modifying Proteins. Acc Chem Res. 56:3010–3022. 2023. View Article : Google Scholar : PubMed/NCBI

174 

He B, Hu Y, Wu Y, Wang C, Gao L, Gong C, Li Z, Gao N, Yang H, Xiao Y and Yang S: Helicobacter pylori CagA elevates FTO to induce gastric cancer progression via a 'hit-and-run' paradigm. Cancer Commun (Lond). 45:608–631. 2025. View Article : Google Scholar : PubMed/NCBI

175 

Xiao L, Li X, Mu Z, Zhou J, Zhou P, Xie C and Jiang S: FTO inhibition enhances the antitumor effect of temozolomide by targeting MYC-miR-155/23a cluster-MXI1 feedback circuit in glioma. Cancer Res. 80:3945–3958. 2020. View Article : Google Scholar : PubMed/NCBI

176 

Xu Y, Zhou J, Li L, Yang W, Zhang Z, Zhang K, Ma K, Xie H, Zhang Z, Cai L, et al: FTO-mediated autophagy promotes progression of clear cell renal cell carcinoma via regulating SIK2 mRNA stability. Int J Biol Sci. 18:5943–5962. 2022. View Article : Google Scholar : PubMed/NCBI

177 

Jiang L, Liang R, Luo Q, Chen Z and Song G: Targeting FTO suppresses hepatocellular carcinoma by inhibiting ERBB3 and TUBB4A expression. Biochem Pharmacol. 226:1163752024. View Article : Google Scholar : PubMed/NCBI

178 

Zhang J, Li G, Wu R, Shi L, Tian C, Jiang H, Che H, Jiang Y, Jin Z, Yu R, et al: The m6A RNA demethylase FTO promotes radioresistance and stemness maintenance of glioma stem cells. Cell Signal. 132:1117822025. View Article : Google Scholar : PubMed/NCBI

179 

Yang Q and Al-Hendy A: The functional role and regulatory mechanism of FTO m6A RNA demethylase in human uterine leiomyosarcoma. Int J Mol Sci. 24:79572023. View Article : Google Scholar

180 

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. 38:79–96.e11. 2020. View Article : Google Scholar : PubMed/NCBI

181 

Huff S, Kummetha IR, Zhang L, Wang L, Bray W, Yin J, Kelley V, Wang Y and Rana TM: Rational design and optimization of m6A-RNA Demethylase FTO inhibitors as anticancer agents. J Med Chem. 65:10920–10937. 2022. View Article : Google Scholar : PubMed/NCBI

182 

Peng S, Xiao W, Ju D, Sun B, Hou N, Liu Q, Wang Y, Zhao H, Gao C, Zhang S, et al: Identification of entacapone as a chemical inhibitor of FTO mediating metabolic regulation through FOXO1. Sci Transl Med. 11:eaau71162019. View Article : Google Scholar : PubMed/NCBI

183 

Ramedani F, Jafari SM, Saghaeian Jazi M, Mohammadi Z and Asadi J: Anti-cancer effect of entacaponeon esophageal cancer cells via apoptosis induction and cell cycle modulation. Cancer Rep (Hoboken). 6:e17592023.

184 

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. 593:597–601. 2021. View Article : Google Scholar : PubMed/NCBI

185 

Sun Y, Shen W, Hu S, Lyu Q, Wang Q, Wei T, Zhu W and Zhang J: METTL3 promotes chemoresistance in small cell lung cancer by inducing mitophagy. J Exp Clin Cancer Res. 42:652023. View Article : Google Scholar : PubMed/NCBI

186 

Jin X, Lv Y, Bie F, Duan J, Ma C, Dai M, Chen J, Lu L, Xu S, Zhou J, et al: METTL3 confers oxaliplatin resistance through the activation of G6PD-enhanced pentose phosphate pathway in hepatocellular carcinoma. Cell Death Differ. 32:466–479. 2025. View Article : Google Scholar :

187 

Hao S, Sun H, Sun H, Zhang B, Ji K, Liu P, Nie F and Han W: STM2457 Inhibits the invasion and metastasis of pancreatic cancer by down-regulating BRAF-Activated Noncoding RNA N6-Methyladenosine modification. Curr Issues Mol Biol. 45:8852–8863. 2023. View Article : Google Scholar : PubMed/NCBI

188 

Tang H, Zhang R and Zhang A: Small-molecule inhibitors targeting RNA m(6)A modifiers for cancer therapeutics : Latest advances and future perspectives. J Med Chem. 68:18114–18142. 2025. View Article : Google Scholar : PubMed/NCBI

189 

Du Y, Yuan Y, Xu L, Zhao F, Wang W, Xu Y and Tian X: Discovery of METTL3 small molecule inhibitors by virtual screening of natural products. Front Pharmacol. 13:8781352022. View Article : Google Scholar : PubMed/NCBI

190 

Dolbois A, Bedi RK, Bochenkova E, Müller A, Moroz-Omori EV, Huang D and Caflisch A: 1,4,9-Triazaspiro[5.5]undecan-2-one derivatives as potent and selective METTL3 Inhibitors. J Med Chem. 64:127382021. View Article : Google Scholar : PubMed/NCBI

191 

Li J and Gregory RI: Mining for METTL3 inhibitors to suppress cancer. Nat Struct Mol Biol. 28:460–462. 2021. View Article : Google Scholar : PubMed/NCBI

192 

Malacrida A, Di Domizio A, Bentivegna A, Cislaghi G, Messuti E, Tabano SM, Giussani C, Zuliani V, Rivara M and Nicolini G: MV1035 overcomes temozolomide resistance in patient-derived glioblastoma stem cell lines. Biology (Basel). 11:702022.PubMed/NCBI

193 

Li N, Kang Y, Wang L, Huff S, Tang R, Hui H, Agrawal K, Gonzalez GM, Wang Y, Patel SP and Rana TM: ALKBH5 regulates anti-PD-1 therapy response by modulating lactate and suppressive immune cell accumulation in tumor microenvironment. Proc Natl Acad Sci USA. 117:20159–20170. 2020. View Article : Google Scholar : PubMed/NCBI

194 

Tang W, Xu N, Zhou J, He Z, Lenahan C, Wang C, Ji H, Liu B, Zou Y, Zeng H and Guo H: ALKBH5 promotes PD-L1-mediated immune escape through m6A modification of ZDHHC3 in glioma. Cell Death Discov. 8:4972022. View Article : Google Scholar : PubMed/NCBI

195 

Schott A, Simon T, Müller S, Rausch A, Busch B, Glaß M, Misiak D, Dipto M, Elrewany H, Peters LM, et al: The IGF2BP1 oncogene is a druggable m6A-dependent enhancer of YAP1-driven gene expression in ovarian cancer. NAR Cancer. 7:zcaf0062025. View Article : Google Scholar

196 

Singh A, Singh V, Wallis N, Abis G, Oberman F, Wood T, Dhamdhere M, Gershon T, Ramos A, Yisraeli J, et al: Development of a specific and potent IGF2BP1 inhibitor: A promising therapeutic agent for IGF2BP1-expressing cancers. Eur J Med Chem. 263:1159402024. View Article : Google Scholar

197 

Feng P, Chen D, Wang X, Li Y, Li Z, Li B, Zhang Y, Li W, Zhang J, Ye J, et al: Inhibition of the m6A reader IGF2BP2 as a strategy against T-cell acute lymphoblastic leukemia. Leukemia. 36:2180–2188. 2022. View Article : Google Scholar : PubMed/NCBI

198 

Qian L, Ji Z, Mei L and Zhao J: IGF2BP2 promotes lung adenocarcinoma progression by regulating LOX1 and tumor-associated neutrophils. Immunol Res. 73:162024. View Article : Google Scholar : PubMed/NCBI

199 

Du W, Huang Y, Chen X, Deng Y, Sun Y, Yang H, Shi Q, Wu F, Liu G, Huang H, et al: Discovery of a PROTAC degrader for METTL3-METTL14 complex. Cell Chem Biol. 31:177–183.e17. 2024. View Article : Google Scholar : PubMed/NCBI

200 

Rauff R, Abedeera SM, Schmocker S, Xie J and Abeysirigunawardena SC: Peptides targeting RNA m6A methylations influence the viability of cancer cells. ChemMedChem. 18:e2022005492023. View Article : Google Scholar

201 

Li Z, Feng Y, Han H, Jiang X, Chen W, Ma X, Mei Y, Yuan D, Zhang D and Shi J: A stapled peptide inhibitor targeting the binding interface of N6-Adenosine-Methyltransferase Subunits METTL3 and METTL14 for cancer therapy. Angew Chem Int Ed Engl. 63:e2024026112024. View Article : Google Scholar : PubMed/NCBI

202 

Huang CS, Zhu YQ, Xu QC, Chen S, Huang Y, Zhao G, Ni X, Liu B, Zhao W and Yin XY: YTHDF2 promotes intrahepatic cholangiocarcinoma progression and desensitises cisplatin treatment by increasing CDKN1B mRNA degradation. Clin Transl Med. 12:e8482022. View Article : Google Scholar : PubMed/NCBI

203 

Hua Z, Gong B and Li Z: Silencing YTHDF2 induces apoptosis of neuroblastoma cells in a cell line-dependent manner via regulating the expression of DLK1. Mol Neurobiol. 62:8121–8134. 2025. View Article : Google Scholar : PubMed/NCBI

204 

Paris J, Morgan M, Campos J, Spencer GJ, Shmakova A, Ivanova I, Mapperley C, Lawson H, Wotherspoon DA, Sepulveda C, et al: Targeting the RNA m6A Reader YTHDF2 selectively compromises cancer stem cells in acute myeloid leukemia. Cell Stem Cell. 25:137–148.e6. 2019. View Article : Google Scholar

205 

Bao Y, Zhai J, Chen H, Wong CC, Liang C, Ding Y, Huang D, Gou H, Chen D, Pan Y, et al: Targeting m 6 A reader YTHDF1 augments antitumour immunity and boosts anti-PD-1 efficacy in colorectal cancer. Gut. 72:1497–1509. 2023. View Article : Google Scholar : PubMed/NCBI

206 

Wang L, Zhu L, Liang C, Huang X, Liu Z, Huo J, Zhang Y, Zhang Y, Chen L, Xu H, et al: Targeting N6-methyladenosine reader YTHDF1 with siRNA boosts antitumor immunity in NASH-HCC by inhibiting EZH2-IL-6 axis. J Hepatol. 79:1185–1200. 2023. View Article : Google Scholar : PubMed/NCBI

207 

Xie LJ, Yang XT, Wang RL, Cheng HP, Li ZY, Liu L, Mao L, Wang M and Cheng L: Identification of flavin mononucleotide as a cell-active artificial N6-Methyladenosine RNA Demethylase. Angew Chem Int Ed Engl. 58:5028–5032. 2019. View Article : Google Scholar : PubMed/NCBI

208 

Wilson C, Chen PJ, Miao Z and Liu DR: Programmable m6A modification of cellular RNAs with a Cas13-directed methyltransferase. Nat Biotechnol. 38:1431–1440. 2020. View Article : Google Scholar : PubMed/NCBI

209 

Li J, Chen Z, Chen F, Xie G, Ling Y, Peng Y, Lin Y, Luo N, Chiang CM and Wang H: Targeted mRNA demethylation using an engineered dCas13b-ALKBH5 fusion protein. Nucleic Acids Res. 48:5684–5694. 2020. View Article : Google Scholar : PubMed/NCBI

210 

Sun Y, Gong W and Zhang S: METTL3 promotes colorectal cancer progression through activating JAK1/STAT3 signaling pathway. Cell Death Dis. 14:7652023. View Article : Google Scholar : PubMed/NCBI

211 

Sun X, Wang DO and Wang J: Targeted manipulation of m6A RNA modification through CRISPR-Cas-based strategies. Methods. 203:56–61. 2022. View Article : Google Scholar : PubMed/NCBI

212 

Nar R, Wu Z, Li Y, Smith A, Zhang Y, Wang J, Yu F, Gao S, Yu C, Huo Z, et al: Targeting METTL3 protein by proteolysis-targeting chimeras: A novel therapeutic approach for acute myeloid leukemia. Genes Dis. 12:1014522024. View Article : Google Scholar

213 

Kim S, Hwang I, Kim YK, Kim DS, Choi YJ and Jeung EB: Treatment of dexamethasone and lenalidomide-resistant multiple myeloma via RAD51 degradation using PROTAC and synergistic effects with chemotherapy. J Physiol Pharmacol. 75:2024.

214 

Li Y, Zhu S, Chen Y, Ma Q, Kan D, Yu W, Zhang B, Chen X, Wei W, Shao Y, et al: Post-transcriptional modification of m6A methylase METTL3 regulates ERK-induced androgen-deprived treatment resistance prostate cancer. Cell Death Dis. 14:2892023. View Article : Google Scholar

215 

Kamiya T, Oshima M, Koide S, Nakajima-Takagi Y, Aoyama K, Itokawa N, Yamashita M, Doki N, Kataoka K and Iwama A: Unraveling the heterogeneity of multiple myeloma cells by single-cell RNA sequencing analysis. Blood. 140:9939–9940. 2022. View Article : Google Scholar

216 

Wang Y, Peng Y, Yang C, Xiong D, Wang Z, Peng H, Wu X, Xiao X and Liu J: Single-cell sequencing analysis of multiple myeloma heterogeneity and identification of new theranostic targets. Cell Death Dis. 15:6722024. View Article : Google Scholar : PubMed/NCBI

217 

Liu C, Liang H, Wan AH, Xiao M, Sun L, Yu Y, Yan S, Deng Y, Liu R, Fang J, et al: Decoding the m6A epitranscriptomic landscape for biotechnological applications using a direct RNA sequencing approach. Nat Commun. 16:7982025. View Article : Google Scholar

218 

Jin R, Zou Q and Luo X: From detection to prediction: Advances in m6A methylation analysis through machine learning and deep learning with implications in cancer. Int J Mol Sci. 26:67012025. View Article : Google Scholar : PubMed/NCBI

219 

Li Q, Liu J, Guo L, Zhang Y, Chen Y, Liu H, Cheng H, Deng L, Qiu J, Zhang K, et al: Decoding the interplay between m6A modification and stress granule stability by live-cell imaging. Sci Adv. 10:eadp56892024. View Article : Google Scholar

220 

Xi JF, Liu BD, Tang GR, Ren ZH, Chen HX, Lan YL, Yin F, Li Z, Cheng WS, Wang J, et al: m6A modification regulates cell proliferation via reprogramming the balance between glycolysis and pentose phosphate pathway. Commun Biol. 8:4962025. View Article : Google Scholar

221 

Zhang L, Wei J, Zou Z and He C: RNA modification systems as therapeutic targets. Nat Rev Drug Discov. 25:59–78. 2026. View Article : Google Scholar

Related Articles

  • Abstract
  • View
  • Download
  • Twitter
Copy and paste a formatted citation
Spandidos Publications style
Maimaitiyiming Y, Hu S, Bai D, Guan Y, Bu N, Hao W and Maimaiti M: Emerging roles of RNA m<sup>6</sup>A modification in multiple myeloma pathogenesis and treatment resistance (Review). Int J Oncol 68: 40, 2026.
APA
Maimaitiyiming, Y., Hu, S., Bai, D., Guan, Y., Bu, N., Hao, W., & Maimaiti, M. (2026). Emerging roles of RNA m<sup>6</sup>A modification in multiple myeloma pathogenesis and treatment resistance (Review). International Journal of Oncology, 68, 40. https://doi.org/10.3892/ijo.2026.5853
MLA
Maimaitiyiming, Y., Hu, S., Bai, D., Guan, Y., Bu, N., Hao, W., Maimaiti, M."Emerging roles of RNA m<sup>6</sup>A modification in multiple myeloma pathogenesis and treatment resistance (Review)". International Journal of Oncology 68.4 (2026): 40.
Chicago
Maimaitiyiming, Y., Hu, S., Bai, D., Guan, Y., Bu, N., Hao, W., Maimaiti, M."Emerging roles of RNA m<sup>6</sup>A modification in multiple myeloma pathogenesis and treatment resistance (Review)". International Journal of Oncology 68, no. 4 (2026): 40. https://doi.org/10.3892/ijo.2026.5853
Copy and paste a formatted citation
x
Spandidos Publications style
Maimaitiyiming Y, Hu S, Bai D, Guan Y, Bu N, Hao W and Maimaiti M: Emerging roles of RNA m<sup>6</sup>A modification in multiple myeloma pathogenesis and treatment resistance (Review). Int J Oncol 68: 40, 2026.
APA
Maimaitiyiming, Y., Hu, S., Bai, D., Guan, Y., Bu, N., Hao, W., & Maimaiti, M. (2026). Emerging roles of RNA m<sup>6</sup>A modification in multiple myeloma pathogenesis and treatment resistance (Review). International Journal of Oncology, 68, 40. https://doi.org/10.3892/ijo.2026.5853
MLA
Maimaitiyiming, Y., Hu, S., Bai, D., Guan, Y., Bu, N., Hao, W., Maimaiti, M."Emerging roles of RNA m<sup>6</sup>A modification in multiple myeloma pathogenesis and treatment resistance (Review)". International Journal of Oncology 68.4 (2026): 40.
Chicago
Maimaitiyiming, Y., Hu, S., Bai, D., Guan, Y., Bu, N., Hao, W., Maimaiti, M."Emerging roles of RNA m<sup>6</sup>A modification in multiple myeloma pathogenesis and treatment resistance (Review)". International Journal of Oncology 68, no. 4 (2026): 40. https://doi.org/10.3892/ijo.2026.5853
Follow us
  • Twitter
  • LinkedIn
  • Facebook
About
  • Spandidos Publications
  • Careers
  • Cookie Policy
  • Privacy Policy
How can we help?
  • Help
  • Live Chat
  • Contact
  • Email to our Support Team