Identification of an immune-based mRNA-lncRNA signature for overall survival in cervical squamous cell carcinoma.

Abstract

Aim: To better predict the survival of cervical squamous cell carcinoma (CESC)patients, we aimed to construct a signature according to different immune infiltration. Methods: We downloaded the RNA sequences of CESC patients from the Cancer Genome Atlasdatabase. By using single-samplegene set enrichment analysis, we separated the samples into high- and low-immunity groups. Then we separated the samples into training and testing datasets and performed the following analyses: univariate, least absolute shrinkage and selection operatoranalysis, multivariate Cox regression analyses and weighted gene coexpression network analysisusing R software. Gene ontologyand Kyoto Encyclopedia of Genes and Genomes studieswere performed using the Database for Annotation, Visualization and Integrated Discoverywebsite. Results &conclusion: We finally identified a signature with three mRNAs and two lncRNAs: ADGRG5, HSH2D, ZMAT4, RBAKDNand LINC00200. In short, our study constructed an mRNA-lncRNA signature related to immune infiltration to better predict the survival of CESCpatients.