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Identification of a gene signature and prediction of overall survival of patients with stage IV colorectal cancer using a novel machine learning approach.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology - 1 May 2025

Altaf Abdullah, Kawashima Jun, Khalil Mujtaba, Stecko Hunter, Rashid Zayed, Kalady Matthew, Pawlik Timothy M

Abstract excerpt

OBJECTIVE: We sought to characterize unique gene signature patterns associated with worse overall survival (OS) among patients with stage IV colorectal cancer (CRC) using a machine learning (ML) approach. METHODS: Data from the AACR GENIE registry were analyzed for genetic variations (somatic mutations, structural variants and copy number alterations) among patients with CRC. Adult patients (≥18 years) with...

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PMID: 39987816
DOI: 10.1016/j.ejso.2025.109718

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