A prognostic risk model based on DNA methylation levels of genes and lncRNAs in lung squamous cell carcinoma.

ABSTRACT:

Background

Recurrence is a risk factor for the prognosis of lung squamous carcinoma (LUSC). DNA methylation levels of RNAs are also associated with LUSC prognosis. This study aimed to construct a prognostic model with high performance in predicting LUSC prognosis using the methylation levels of lncRNAs and genes.

Methods

The differentially expressed RNAs (DERs) and differentially methylated RNAs (DMRs) between the recurrent and non-recurrent LUSC tissues in The Cancer Genome Atlas (TCGA; training dataset) were identified. Weighted correlation network analysis was performed to identify co-methylation networks. Differentially methylated genes and lncRNAs with opposite expression-methylation levels were used for the screening of prognosis-associated RNAs. The prognostic model w

SUBMITTER: Wang W 

PROVIDER: S-EPMC8958968 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature