Your new experience awaits. Try the new design now and help us make it even better

ORIGINAL RESEARCH article

Front. Immunol.

Sec. Cancer Immunity and Immunotherapy

Volume 16 - 2025 | doi: 10.3389/fimmu.2025.1684113

This article is part of the Research TopicTargeted Therapies in Gastric Cancer: Molecular Signatures and Immune Microenvironment InsightsView all 14 articles

Functional and Clinical Validation of tsRNA-Defined Molecular Subtypes Guides Precision Therapy in Gastric Cancer

Provisionally accepted
Ben  LiuBen Liu1*Ye  TianYe Tian1Xin  HuXin Hu2Yuan  LiuYuan Liu1Wenqi  WuWenqi Wu1Yanxin  YaoYanxin Yao1Huahuan  LiuHuahuan Liu1Wei  WangWei Wang1Hongji  DaiHongji Dai1Yubei  HuangYubei Huang1Changyu  SunChangyu Sun1Yan  CuiYan Cui1Zun  LiZun Li1Xiannan  ZhangXiannan Zhang1Liqing  JiaLiqing Jia1Fubing  WangFubing Wang1Fengju  SongFengju Song1Kexin  ChenKexin Chen1Yuan  PanYuan Pan1
  • 1Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
  • 2Zhongnan Hospital of Wuhan University, Wuhan, China

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

Gastric cancer (GC) is characterized by marked molecular and clinical heterogeneity, complicating prognosis and treatment. Here, we profiled transfer RNA-derived small RNAs (tsRNAs) in GC and identified three distinct molecular subtypes, each defined by unique tsRNA expression signatures and tumor microenvironment features. The Stromal_L subtype exhibited the most favorable prognosis, while the Stromal_H subtype was associated with a higher frequency of DNA repair gene mutations and poorer survival. Multi-omics characterization further revealed subtype-specific pathway dysregulation, including hyperactivated G2M checkpoint and fatty acid metabolism in Stromal_L.To enable clinical translation, we leveraged 25 tsRNA-associated hub genes and ten machine learning algorithms to construct a prognostic model. The random survival forest (RSF)-optimized GCtsRNAscore effectively stratified patients into high-risk and low-risk groups (https://github.com/huxintmu/GCtsRNAscore). High-risk patients demonstrated increased sensitivity to targeted agents (axitinib, bexarotene, dasatinib), whereas low-risk patients showed enhanced response to immunotherapy. Among six subtype-discriminatory tsRNAs, tsRNA-Asp-3-0024, a previously unannotated fragment, was significantly upregulated in GC tissues and cell lines via Pandora-seq and qRT-PCR validation. Clinically, elevated tsRNA-Asp-3-0024 expression independently predicted adverse prognosis (multivariate Cox P<0.001). Functional studies confirmed its tumor-promotive role: knockdown suppressed proliferation, induced apoptosis in GC cells, and recapitulated the phenotypes in patient-derived organoids. Our work establishes tsRNAs as key regulators of GC heterogeneity, providing a clinically applicable subtyping framework and nominating tsRNA-Asp-3-0024 as a novel therapeutic target.

Keywords: gastric cancer, tsRNA subtype, machine learning, Prognostic model, Organoid

Received: 12 Aug 2025; Accepted: 20 Oct 2025.

Copyright: © 2025 Liu, Tian, Hu, Liu, Wu, Yao, Liu, Wang, Dai, Huang, Sun, Cui, Li, Zhang, Jia, Wang, Song, Chen and Pan. 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: Ben Liu, benliu100@tmu.edu.cn

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.