Through multi-omics analysis of TCGA-CESC dataset and using GSE44001 as verification, we successfully constructed a prognostic risk model based upon circadian rhythm signature and discovered three independent prognostic factors, GJB2, CCL20 and KRT24, with hints upon metabolism features and suppressive myeloid cells enriched TME as poor prognostic indicators. This evidence concerns the gene KRT24 and cervical squamous cell carcinoma.