New insights into keloid pathogenesis: biomarker potential for CDK7 and DDB2

Area of Science:

• Dermatology
• Molecular Biology
• Bioinformatics

Background:

• Keloid formation is a common skin condition involving abnormal connective tissue growth.
• The precise molecular mechanisms driving keloid pathogenesis are not fully understood.
• Identifying reliable biomarkers is crucial for diagnosis and targeted therapies.

Purpose of the Study:

• To identify and validate molecular biomarkers for keloid.
• To explore potential therapeutic targets for keloid formation.
• To elucidate novel insights into the pathogenesis of keloid.

Main Methods:

• Transcriptomic data analysis from keloid and normal skin tissues.
• Differential gene expression, Weighted Gene Co-expression Network Analysis (WGCNA), and Protein-Protein Interaction (PPI) analyses were performed.
• Key gene candidates were validated through experimental assays.

Main Results:

• 679 differentially expressed genes (DEGs) were identified, with 41 strongly associated with keloid.
• CDK7 and DDB2 emerged as significant hub genes through PPI analysis.
• CDK7 and DDB2 demonstrated high diagnostic accuracy (AUC=0.80-0.86) and were upregulated in keloid tissue.

Conclusions:

• CDK7 and DDB2 are promising diagnostic biomarkers for keloid.
• These genes represent potential therapeutic targets for keloid treatment.
• The study provides new insights into keloid pathogenesis and identifies druggable targets.