Integrative transcriptomics and single-cell transcriptomics analyses reveal potential biomarkers and mechanisms of action in papillary thyroid carcinoma.

ABSTRACT:

Objective

Papillary thyroid carcinoma (PTC) has a high recurrence rate and lacks reliable diagnostic biomarkers. This study aims to identify robust transcriptomic biomarkers for PTC diagnosis through integrative bioinformatics approaches and elucidate the cellular mechanisms underlying PTC pathogenesis at single-cell resolution.

Methods

Based on the Gene Expression Omnibus (GEO) database, we downloaded PTC-related RNA-seq datasets (GSE3467, GSE3678, GSE33630, GSE65144, and GSE82208) and an scRNA-seq dataset (GSE191288). Among these, the RNA-seq dataset GSE3467 was used as the training dataset to perform differential gene expression analysis, GO and KEGG enrichment analyses, weighted gene co-expression network analysis (WGCNA), machine learning, ROC analysis, nomogram analysi

SUBMITTER: Cao W 

PROVIDER: S-EPMC12162626 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature