Construction of a CCL20-centered circadian-signature based prognostic model in cervical cancer.

ABSTRACT:

Background

Rather low vaccination rates for Human papillomavirus (HPV) and pre-existing cervical cancer patients with limited therapeutic strategies ask for more precise prognostic model development. On the other side, the clinical significance of circadian clock signatures in cervical cancer lacks investigation.

Methods

Subtypes classification based upon eight circadian clock core genes were implemented in TCGA-CESC through k-means clustering methods. Afterwards, KEGG, GO and GSEA analysis were conducted upon differentially expressed genes (DEGs) between high and low-risk groups, and tumor microenvironment (TME) investigation by CIBERSORT and ESTIMATE. Furthermore, a prognostic model was developed by cox and lasso regression methods, and verified in GSE44001 by time-depende

SUBMITTER: Yu Y 

PROVIDER: S-EPMC10184429 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature