Single-cell RNA-seq combined with bulk RNA-seq explores shared gene signatures between thyroid and breast cancers.

ABSTRACT:

Objective

This study aims to identify key genes that are common to both breast cancer and thyroid cancer, as well as to determine shared therapeutic targets relevant to both conditions.

Methods

We utilized transcriptome data from both breast and thyroid cancers, along with single-cell data, and applied cell deconvolution techniques to evaluate the extent of monocyte infiltration. Tumor-related gene modules were identified through weighted gene co-expression network analysis (WGCNA), followed by enrichment analysis to uncover significant signals shared within these gene modules. A machine learning approach was then employed to pinpoint hub genes. Additionally, RT-qPCR was performed to validate the expression levels of these hub genes in tumor and adjacent non-tumor tissues fr

SUBMITTER: Feng Z 

PROVIDER: S-EPMC12665382 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature