Development of a novel prognostic signature for predicting the overall survival of bladder cancer patients

Abstract

Background: Bladder cancer is one of the most common malignancies. So far, no effective biomarker for bladder cancer prognosis has been identified. Aberrant DNA methylation is frequently observed in the bladder cancer and holds considerable promise as a biomarker for predicting the overall survival (OS) of patients. Materials and methods: We downloaded the DNA methylation and transcriptome data for bladder cancer from The Cancer Genome Atlas (TCGA), a public database, screened hypo-methylated and up-regulated genes, similarly, hyper-methylation with low expression genes, then retrieved the relevant methylation sites. Cox regression analysis was used to identify a nine-methylation site signature of a training group. Predictive ability was validated in a test group by receiver operating characteristic (ROC) analysis. Results: We identified nine bladder cancer-specific methylation sites as potential prognostic biomarkers and established a risk score system based on the methylation site signature to evaluate the OS. The performance of the signature was accurate, with area under curve was 0.73 in the training group and 0.71 in the test group. Taking clinical features into consideration, we constructed a nomogram consisting of the nine-methylation site signature and patients’ clinical variables, and found that the signature was an independent risk factor. Conclusions: Overall, the significant nine methylation sites could be novel prediction biomarkers, which could aid in treatment and also predict the overall survival likelihoods of bladder cancer patients.

CTSV (cathepsin V) promotes bladder cancer progression by increasing NF-κB activity

“…Although often diagnosed at an early stage, the relapse of bladder cancer is quite high [ 48 ]. Bladder cancer development mechanism and the relevant markers are poorly understood, which limits its effective prevention and treatment [ 49 ]. Therefore, our study aimed to find important genes in bladder cancer development and progression.…”

A novel 17 apoptosis-related genes signature could predict overall survival for bladder cancer and its associations with immune infiltration

“…For example, Tang et al. established a nine BC-specific methylation site riskscore formula to evaluate these BC patients’ OS prognosis, exerting a prognosis predicting value [ 25 ]. Wang et al.…”

“…Tang et al. also established a nine BC-specific methylation site riskscore formula to evaluate these patients’ overall survival (OS) [ 25 ]. Currently, no signature for BC had been performed based on apoptosis-related genes (ARGs).…”