Exploring the molecular mechanisms of comorbidity between thyroid cancer and breast cancer through multi-omics data.

ABSTRACT: Thyroid Cancer (TC) and Breast Cancer (BC) are highly prevalent malignancies in women, and studies have shown that they may be related by molecular mechanisms. However, the molecular regulatory networks and key genes involved in the co-occurrence of the two tumors are still unclear. This study aims to explore potential diagnostic markers and therapeutic targets using bioinformatics. The TC (GSE3467) and BC (GSE61304) datasets were downloaded from the NCBI GEO database, and the data were analyzed for differentially expressed genes (DEGs) using the limma package of the R language. Disease-related gene modules were screened by weighted gene co-expression network analysis (WGCNA), and the hub genes were further screened by computational ranking by semantic similarity. Gene ontology (GO) and Ky

SUBMITTER: Yang R 

PROVIDER: S-EPMC12222956 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature