Identification of druggable targets in melanoma by multi-omics Mendelian randomization integrated with transcriptomic and spatial analysis.

ABSTRACT:

Background

Cutaneous melanoma (CM) is a highly lethal skin tumor. Some patients respond poorly to existing therapies, and developing new targeted therapies remains challenging.

Methods

We combined the results of eQTLs, pQTLs, and genome-wide association study (GWAS) to identify potential causal effects of two target genes on CM, based on multi-omics Mendelian randomization (MR). Sensitivity analysis, co-localization analysis, and inverse MR analysis were also employed to verify the robustness of this causal relationship. Multi-omics data were then applied to explore the expression patterns of immune infiltration of the target genes and construct nomogram models.

Results

The results showed that the gene prediction levels of EPS15L1 and HGS were associated with an incre

SUBMITTER: Xing J 

PROVIDER: S-EPMC12597094 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature