Multi-omics pan-cancer profiling of CDK2 and <i>in silico</i> identification of plant-derived inhibitors using machine learning approaches.

ABSTRACT: Cancer is a complex disease characterized by uncontrolled cell proliferation, often driven by dysregulated cyclin-dependent kinases (CDKs), particularly CDK2, which plays a crucial role in cell cycle progression. Aberrant CDK2 activity is associated with tumor growth and resistance to therapy, making CDK2 a promising therapeutic target. The main focus of this research is to integrate the multi-omics-based pan-cancer analysis of CDK2 to identify novel plant-derived inhibitors, bridging the prognostic and therapeutic relevance of CDK2 across various cancer types. In this study, to evaluate CDK2's expression, prognostic behavior, genetic alterations, and immune infiltrations, we performed pan-cancer analysis. The oncogenic analysis showed that CDK2 is significantly overexpressed in multiple t

SUBMITTER: Ali MA 

PROVIDER: S-EPMC12498278 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature