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Machine Learning Combined with Fatty Acid Metabolism Genes Identifies a Novel Prognostic Model in Gastric Cancer

2026-06-04

Abstract excerpt

<title>Abstract</title> <p>Background Gastric cancer (GC) ranks among the most lethal malignancies globally, with marked inter-patient prognostic heterogeneity and an urgent need for reliable molecular biomarkers. Fatty acid metabolism reprogramming is a hallmark of tumor development; however, its specific prognostic utility in GC remains incompletely defined. Methods The GSE66229 discovery dataset (GEO; n = 40...

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Literature Corpus work
3d5e8bf7-0033-523d-9b6f-ec1c6102c010
DOI
10.21203/rs.3.rs-9484216/v1
Open publication

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Machine Learning Combined with Fatty Acid Metabolism Genes Identifies a Novel Prognostic Model in Gastric CancerDOI 10.21203/rs.3.rs-9484216/v1
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