Unveiling the mechanisms and promising molecular targets of curcumin in pancreatic cancer through multi-dimensional data.

ABSTRACT: Pancreatic cancer (PC) is a highly aggressive and fatal malignancy, primarily affecting older males. Curcumin, a potential anti-cancer agent, has been shown to regulate key molecules in cancer progression, but its specific mechanisms in PC remain unclear. We conducted a comprehensive database search to identify curcumin-related targets in PC. Gene expression and immune correlations were analyzed using the GEO database, identifying differentially expressed hub genes (DEHGs). A method involving machine learning was employed to identify feature genes and create a nomogram, using external datasets and molecular docking for preliminary validation. Consensus clustering and subgroup comparisons were also performed based on DEHGs expression. We identified 35 DEHGs strongly associated with immune c

SUBMITTER: Xie H 

PROVIDER: S-EPMC12217139 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature