Bioinformatics analysis based on immune-autophagy-related lncRNAs combined with immune infiltration in bladder cancer.

ABSTRACT:

Background

To construct a prognostic model based on immune-autophagy-related long noncoding RNA (IArlncRNAs), mainly to predict the overall survival rate (OS) of bladder cancer patients and investigate its possible mechanisms.

Methods

Transcriptome and clinical data were obtained from The Cancer Genome Atlas (TCGA) database. We identified the IArlncRNA by co-expression analysis, differential expression analysis, and Venn analysis. Then, we identified the independent prognostic IArlncRNAs by univariate Cox regression, LASSO regression, and multivariate Cox regression analysis. Moreover, we constructed the prognostic model based on the independent prognostic IArlncRNAs and clinical features. The proportion of 22 immune cell subtypes was analyzed by the CIBERSORT algorithm. Bes

SUBMITTER: Tan G 

PROVIDER: S-EPMC8421818 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature