Application of Mendelian randomization and bioinformatic analysis to construct a prognostic model for thyroid cancer and perform pan-cancer analysis.

ABSTRACT:

Objective

This study aimed to identify causal effects and potential molecular mechanisms of genes associated with THCA development.

Methods

Bioinformatic analyses were performed to identify differentially expressed genes (DEGs) associated with THCA. Subsequently, Mendelian randomization (MR) analysis was conducted using large-scale eQTL data and THCA GWAS summary statistics to screen for candidate genes. The intersection of DEGs and MR-derived candidate genes was used to determine DEGs with potential causal associations with thyroid carcinogenesis. Functional enrichment analysis, pathway analysis, and immune cell infiltration profiling were performed. External datasets were used for validation. Additionally, prognostic modeling and pan-cancer analyses of the candidate genes

SUBMITTER: Zhan Z 

PROVIDER: S-EPMC12290152 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature