A chemokine-based prognostic model featuring CXCL8, ITGA5, BACE2, CCR7, CERS4, and MEI1 for cervical cancer.

ABSTRACT:

Background

Cervical cancer, often caused by persistent high-risk HPV infection, remains a significant public health challenge with limited treatment options. Chemokines play crucial roles in immune cell recruitment and tumor microenvironment modulation. This study proposes a chemokine-based predictive model to optimize personalized treatment and prognosis.

Methods

Bulk RNA-seq and clinical data from TCGA-CESC and GSE52903 cohorts were analyzed along with 152 chemokine-related genes (CRGs). Prognostic CRGs were identified via Cox regression, consensus clustering was used for subtypes. Differentially expressed genes (DEGs) were analyzed with "limma". Then, a RiskScore model was developed through Lasso algorithm, and ROC curves were performed for the model performance. CIBERSOR

SUBMITTER: Wang L 

PROVIDER: S-EPMC12828929 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature