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- 1Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
- 2Zhongnan Hospital of Wuhan University, Wuhan, China
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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
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