Uncovering Novel Susceptible Genes and Therapeutic Targets of Prostate Cancer: a Multi-omics Study Integrating Summary-based Mendelian Randomization Analysis and Molecular Docking.

ABSTRACT:

Background

Understanding the role of causal genes of prostate cancer (PrCa) can reveal key biological pathways and identify potential targets for treatment.

Methods

We investigated associations between genetically predicted gene expression levels and PrCa risk using cis-eQTL summary-based Mendelian randomization (SMR) and colocalization analysis. Findings were replicated using two independent PrCa GWAS. We then intersected the identified genes with differentially expressed genes (DEGs) identified from TCGA-PRAD dataset to obtain key genes. Furthermore, enrichment, protein-molecule network, immune infiltration, and epigenetic analyses were conducted to explore their biological pathways. Lastly, phenome-wide association study (PheWAS), drug prediction, and molecular docking si

SUBMITTER: Qiu X 

PROVIDER: S-EPMC12532825 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature