data.docx

Cervical cancer remains a significant global health burden, and CCRT is a standard treatment for locally advanced cases. However, patient outcomes vary widely, and there is a critical need for reliable prognostic tools to guide personalized treatment strategies. In this study, we integrated multi-omics data from GEO and TCGA to identify key biomarkers and construct a robust prognostic model. Our model was further validated using an independent cohort, demonstrating its potential clinical utility in predicting survival outcomes for cervical cancer patients undergoing CCRT.