A risk prediction model mediated by genes of APOD/APOC1/SQLE associates with prognosis in cervical cancer.

ABSTRACT: Cervical cancer is one of the most common gynecological malignancies. Due to the high heterogeneity of cervical cancer accelerating cancer progression, it is necessary to identify new prognostic markers and treatment regimens for cervical cancer to improve patients' survival rates. We purpose to construct and verify a risk prediction model for cervical cancer patients. Based on the analysis of data from the Gene Expression Omnibus database (GEO) and The Cancer Genome Atlas (TCGA), differences of genes in normal and cancer samples were analyzed and then used analysis of WGCNA along with consistent clustering to construct single-factor + multi-factor risk models. After regression analysis, the target genes were obtained as prognostic genes and prognostic risk models were constructed, and the

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC9764686 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature