Artificial Intelligence-Enabled Integration Suggests TP53 Pathway Alterations as Prognostic Biomarkers in Populations with Disproportionate Health Burdens.

ABSTRACT: The incidence of early-onset colorectal cancer (EOCRC; <50 years) continues to increase, with the most rapid rises occurring among Hispanic/Latino (H/L) populations who remain underrepresented in molecular research. Because the TP53 signaling pathway is a key driver of colorectal tumorigenesis, this study aimed to clarify its prognostic significance in FOLFOX-treated EOCRC across ancestry groups. We analyzed 2515 colorectal cancer (CRC) cases (266 H/L, 2249 non-Hispanic White [NHW]) stratified by ancestry, age at onset, and FOLFOX exposure. Fisher's exact, chi-square, and Kaplan-Meier's analyses were applied, and multi-dimensional data integration was performed using AI-HOPE and AI-HOPE-TP53, conversational artificial intelligence platforms enabling natural language-driven exploration of c

SUBMITTER: Diaz FC 

PROVIDER: S-EPMC12898670 | biostudies-literature | 2026 Feb

REPOSITORIES: biostudies-literature