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

作者：Rui Juan Yang, Jiayi Li, Jiayi Li, Hongyang Zhang, Huan Liu, Bin Lian, Jinping Li, Jinping Li · 发表于：Scientific Reports · 年份：2025 · DOI：10.1038/s41598-025-06566-w · 被引用次数：4 · 研究领域：Bioinformatics and Genomic Networks、Ferroptosis and cancer prognosis、Cancer, Lipids, and Metabolism

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 Kyoto Encyclopedia of Genes and Genomes (KEGG) analyzed the biological functions of hub genes. Immune infiltration analysis was performed to reveal the association and expression correlation between the hub genes and immune cells and to explore the relationship between the hub genes and genes related to immunity, autophagy, and ferroptosis. In addition, mRNA-miRNA regulatory networks were constructed, and key regulatory miRNAs were screened by network topology analysis. Potential therapeutic drugs were screened using online tools, and drug molecules were docked in parallel. A total of 58 overlapping differential genes associated with TC and BC were identified, 27 common genes were obtained by ...