A Five-Genes-Based Prognostic Signature for Cervical Cancer Overall Survival Prediction.

ABSTRACT: Aims. This study is aimed at identifying a prognostic signature for cervical cancer. Main Methods. The gene expression data and clinical information of cervical cancer and normal cervical tissues were acquired from The Cancer Genome Atlas and from three datasets of the Gene Expression Omnibus database. DESeq2 and Limma were employed to screen differentially expressed genes (DEGs). The overlapping DEGs among all datasets were considered the final DEGs. Then, the functional enrichment analysis was performed. Moreover, the Cox proportional hazards regression was performed to establish a prognostic signature of the DEGs. The Kaplan-Meier analysis was applied to test the model. Relationships between gene expression and clinicopathological parameters in cervical cancer, including a

SUBMITTER: Zhao M 

PROVIDER: S-EPMC7136791 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature