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Dataset Information

Integrative genomic and single-cell framework identifies druggable targets for colorectal cancer precision therapy.


ABSTRACT:

Background

Colorectal cancer (CRC) remains a leading cause of cancer-related mortality worldwide. Despite therapeutic advances, there is a critical need to identify novel, effective, and safe drug targets to improve precision treatment strategies.

Methods

We developed a multi-layered framework integrating Mendelian randomization (MR), colocalization analysis, genome-wide association study (GWAS) data, and expression quantitative trait loci (eQTLs) to prioritize causal and druggable genes in CRC. Single-cell and bulk RNA sequencing were used to characterize gene expression within the tumor microenvironment. Phenome-wide association studies (PheWAS) assessed off-target effects, and drug repurposing potential was evaluated using OpenTargets, DrugBank, and DGIdb. Validation of k

SUBMITTER: Hong Y 

PROVIDER: S-EPMC12149120 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature