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Cross-cohort multi-omics analysis identifies novel clusters driven by epithelial-mesenchymal transition signatures in gastric cancer.

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Cancer cell international 📖 저널 OA 97.9% 2022: 8/8 OA 2023: 2/2 OA 2024: 17/17 OA 2025: 121/121 OA 2026: 84/89 OA 2022~2026 2026 Vol.26(1) OA
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Xu Q, Kong N, Zhao Y, Xun X, Wu W, Wu Q

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[UNLABELLED] Gastric cancer heterogeneity profoundly impacts clinical outcomes, yet the molecular underpinnings remain incompletely characterized.

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↓ .bib ↓ .ris
APA Xu Q, Kong N, et al. (2026). Cross-cohort multi-omics analysis identifies novel clusters driven by epithelial-mesenchymal transition signatures in gastric cancer.. Cancer cell international, 26(1). https://doi.org/10.1186/s12935-026-04223-4
MLA Xu Q, et al.. "Cross-cohort multi-omics analysis identifies novel clusters driven by epithelial-mesenchymal transition signatures in gastric cancer.." Cancer cell international, vol. 26, no. 1, 2026.
PMID 41761188 ↗

Abstract

[UNLABELLED] Gastric cancer heterogeneity profoundly impacts clinical outcomes, yet the molecular underpinnings remain incompletely characterized. Here we present a comprehensive single-cell atlas of gastric cancer, integrating five cohorts comprising 101 samples and 327,471 cells. Unsupervised clustering delineated seven transcriptionally distinct tumor cell populations. Among these, an -expressing subpopulation displayed hallmarks of epithelial-mesenchymal transition and demonstrated robust associations with metastatic progression and adverse prognosis. Leveraging the  + transcriptional signature, we stratified patients into three molecular classes: C1 (metabolism-dominant), C2 (proliferation-dominant), and C3 (invasion-dominant). C3 tumors exhibited pronounced metastatic capacity, stemness features, and immunosuppressive microenvironmental remodeling, with five-year survival of merely 23%. Mechanistic interrogation identified (Indolethylamine N-Methyltransferase) as a central driver of the aggressive C3 phenotype. Genetic ablation of attenuated proliferative and invasive behaviors in vitro and suppressed tumor growth in vivo. Structure-based virtual screening nominated Savolitinib as a candidate -targeting agent, a prediction validated through molecular dynamics simulations demonstrating stable binding interactions. Pharmacological inhibition recapitulated the phenotypes observed with genetic knockdown, reducing tumor burden in xenograft models. Our work establishes a single-cell-resolved molecular taxonomy for gastric cancer, elucidates the mechanistic connection between epithelial-mesenchymal transition programming and metastatic dissemination, and positions INMT as an actionable therapeutic vulnerability—collectively advancing the framework for precision oncology in this disease.

[SUPPLEMENTARY INFORMATION] The online version contains supplementary material available at 10.1186/s12935-026-04223-4.

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