Integrated bioinformatics combined with machine learning to analyze shared biomarkers and pathways in psoriasis and cervical squamous cell carcinoma.
Journal:
Frontiers in immunology
PMID:
38863714
Abstract
BACKGROUND: Psoriasis extends beyond its dermatological inflammatory manifestations, encompassing systemic inflammation. Existing studies have indicated a potential risk of cervical cancer among patients with psoriasis, suggesting a potential mechanism of co-morbidity. This study aims to explore the key genes, pathways, and immune cells that may link psoriasis and cervical squamous cell carcinoma (CESC).
Authors
Keywords
Biomarkers, Tumor
Carcinoma, Squamous Cell
Computational Biology
Databases, Genetic
Female
Gene Expression Profiling
Gene Expression Regulation, Neoplastic
Gene Regulatory Networks
HeLa Cells
Humans
Machine Learning
MicroRNAs
Protein Interaction Maps
Psoriasis
Signal Transduction
Transcriptome
Uterine Cervical Neoplasms