Integrating multiomics analysis and machine learning to refine the molecular subtyping and prognostic analysis of stomach adenocarcinoma

Abstract Stomach adenocarcinoma (STAD) is a common malignancy with high heterogeneity and a lack of highly precise treatment options. We downloaded the multiomics data of STAD patients in The Cancer Genome Atlas (TCGA)-STAD cohort, which included mRNA, microRNA, long non-coding RNA, somatic mutation...

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Bibliografische Detailangaben

Hauptverfasser:	Miaodong Wang, Qin He, Zeshan Chen, Yijue Qin
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Nature Portfolio 2025-01-01
Schriftenreihe:	Scientific Reports
Schlagworte:	Stomach adenocarcinoma Multiomics Molecular subtyping Prognosis Immunity
Online-Zugang:	https://doi.org/10.1038/s41598-025-87444-3
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