AUTHOR=Huang Xin , Wang Hao-Fei , Huang Shuang 

TITLE=Integrated risk scores from N6-methyladenosine-related lncRNAs are potential biomarkers for predicting the overall survival of bladder cancer patients

JOURNAL=Frontiers in Genetics

VOLUME=Volume 13 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2022.906880

DOI=10.3389/fgene.2022.906880

ISSN=1664-8021

ABSTRACT=This study aimed to explore an efficient prognostic model of bladder cancer (BLCA) patients based on N6-methyladenosine (m6A)-related lncRNAs. The differentially expressed lncRNAs was investigated in 433 BLCA samples from TCGA datasets. Kaplan-Meier and Univariate Cox regression analysis were performed to screen their prognostic roles in BLCA. We implemented Pearson correlation analysis to explore 18 prognostic-related lncRNAs with 20 known m6A-related mRNAs. Then, they were inputted in a least absolute shrinkage and selection operator (LASSO) Cox regression to establish a m6A-related lncRNA prognostic signature. We then established an integrated risk scores (RS) using containing five m6A-related lncRNAs. We constructed a nomogram that had the ability to forecast overall survival (OS) of BLCA patients and integrated RS showcased a robust prognostic ability. The predictive accuracy of RS for BLCA prognosis was also high according to the AUC of ROC curves. We analyzed the correlation of tumor immune infiltrating cells in high- and low-risk patients and used (Tumor Immune Dysfunction and Exclusion) TIDE to predict the effect of immunotherapy. We screened out the most relevant modules of RS through the WGCNA network, and explored their potential biological functions using GO and KEGG. Our findings demonstrated that compared with nomograms built with a single prognostic factor, the integrated RS might be the best nomogram for predicting survival for BLCA patients, which might help clinical management.