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ORIGINAL RESEARCH article

Front. Pharmacol.
Sec. Pharmacology of Anti-Cancer Drugs
Volume 15 - 2024 | doi: 10.3389/fphar.2024.1445321
This article is part of the Research Topic Decoding the Epigenetic Landscape: Elucidating Cancer Pathology and Identifying Novel Therapeutic Targets View all articles

Prognostic Analysis of Patients with Gastric Cancer Based on N 6 -methyladenosine Modification Patterns and Tumor Microenvironment Characterization

Provisionally accepted
  • 1 Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
  • 2 Department of Biochemistry and Molecular Biology, Basic Medical School, Capital Medical University, Beijing, China

The final, formatted version of the article will be published soon.

    Background: Cancers arise from genetic and epigenetic abnormalities that affect oncogenes and tumor suppressor genes, compounded by gene mutations. The N6-methyladenosine (m6A) RNA modification, regulated by methylation regulators, has been implicated in tumor proliferation, differentiation, tumorigenesis, invasion, and metastasis. However, the role of m6A modification patterns in the tumor microenvironment of gastric cancer (GC) remains poorly understood. Materials and methods: In this study, we analyzed m6A modification patterns in 267 GC samples utilizing 31 m6A regulators. Using consensus clustering, we identified two unique subgroups of GC. Patients with GC were segregated into high- and low-infiltration cohorts to evaluate the infiltration proportions of the five prognostically significant immune cell types. Leveraging the differential genes in GC, we identified a “green” module via Weighted Gene Co-expression Network Analysis. A risk prediction model was established using the LASSO regression method. Results: The “green” module was connected to both the m6A RNA methylation cluster and immune infiltration patterns. Based on “Module Membership” and “Gene Significance”, 37 hub genes were identified, and a risk prediction model incorporating nine hub genes was established. Furthermore, methylated RNA immunoprecipitation and RNA Immunoprecipitation assays revealed that YTHDF1 elevated the expression of DNMT3B, which synergistically promoted the initiation and development of GC. We elucidated the molecular mechanism underlying the regulation of DNMT3B by YTHDF1 and explored the crosstalk between m6A and 5mC modification. Conclusion: m6A RNA methylation regulators are instrumental in malignant progression and the dynamics of tumor microenvironment infiltration of GC. Assessing m6A modification patterns and tumor microenvironment infiltration characteristics in patients with GC holds promise as a valuable prognostic biomarker.

    Keywords: STAD, M 6 A modification, TME infiltration, WGCNA, LASSO

    Received: 07 Jun 2024; Accepted: 24 Jul 2024.

    Copyright: © 2024 Huo, Zhang, Zhang, Wang, Hu, Ma, Wang, Yuan, Qin, Teng, Yu, Huang and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Wei Huang, Department of Biochemistry and Molecular Biology, Basic Medical School, Capital Medical University, Beijing, 100069, China
    Yan Wang, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.