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- W3138615944 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 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. Results & conclusion: We finally identified a signature with three mRNAs and two lncRNAs: ADGRG5, HSH2D, ZMAT4, RBAKDN and LINC00200. In short, our study constructed an mRNA–lncRNA signature related to immune infiltration to better predict the survival of CESC patients." @default.
- W3138615944 created "2021-03-29" @default.
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- W3138615944 date "2021-06-01" @default.
- W3138615944 modified "2023-10-15" @default.
- W3138615944 title "Identification of an immune-based mRNA–lncRNA signature for overall survival in cervical squamous cell carcinoma" @default.
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- W3138615944 doi "https://doi.org/10.2217/fon-2020-1153" @default.
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