Comprehensive bioinformatic analysis reveals a fibroblast-related gene signature for the diagnosis of keloids.

ABSTRACT:

Aim

A keloid is a fibroproliferative cutaneous disorder secondary to skin injury, caused by an imbalance in fibroblast proliferation and apoptosis. However, the pathogenesis is not fully understood. In this study, candidate genes for keloid were identified and used to construct a diagnostic model.

Methods

Three datasets related to keloids were downloaded from NCBI Gene Expression Omnibus. Fibroblast-related genes were screened, and fibroblast scores for the samples were determined. Then, a weighted gene co-expression network analysis (WGCNA) was used to identify modules and genes associated with keloids and the fibroblast score. Differentially expressed genes (DEGs) between keloid and control samples were identified and compared with fibroblast-related genes and genes in the

SUBMITTER: Qi Y 

PROVIDER: S-EPMC11327581 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature