Multiomics integration and machine learning reveal prognostic programmed cell death signatures in gastric cancer.

Abstract excerpt

Gastric cancer (GC) is characterized by notable heterogeneity and the impact of molecular subtypes on treatment and prognosis. The role of programmed cell death (PCD) in cellular processes is critical, yet its specific function in GC is underexplored. This study applied multiomics approaches, integrating transcriptomic, epigenetic, and somatic mutation data, with consensus clustering algorithms to classify GC...

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• Apoptosis
• DNA Copy Number Variations
• Gene Expression Regulation, Neoplastic
• Machine Learning
• Multiomics