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

To better predict the survival of cervical squamous cell carcinoma (CESC) patients, we aimed to construct a signature according to different immune infiltration. We downloaded the RNA sequences of CESC patients from the Cancer Genome Atlas database. By using single-sample gene 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 operator analysis, multivariate Cox regression analyses and weighted gene coexpression network analysis using R software. Gene ontology and Kyoto Encyclopedia of Genes and Genomes studies were performed using the Database for Annotation, Visualization and Integrated Discovery website. We finally identified a signature with three mRNAs and two lncRNAs: , , ,  and . In short, our study constructed an mRNA-lncRNA signature related to immune infiltration to better predict the survival of CESC patients.