A Prognostic Model Based on Immune-Related Long Non-Coding RNAs for Patients With Cervical Cancer.

ABSTRACT: Objectives: The study is performed to analyze the relationship between immune-related long non-coding RNAs (lncRNAs) and the prognosis of cervical cancer patients. We constructed a prognostic model and explored the immune characteristics of different risk groups. Methods: We downloaded the gene expression profiles and clinical data of 227 patients from The Cancer Genome Atlas database and extracted immune-related lncRNAs. Cox regression analysis was used to pick out the predictive lncRNAs. The risk score of each patient was calculated based on the expression level of lncRNAs and regression coefficient (β), and a prognostic model was constructed. The overall survival (OS) of different risk groups was analyzed and compared by the Kaplan-Meier method. To analyze the distribution

SUBMITTER: Chen P 

PROVIDER: S-EPMC7734341 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature