A New Ferroptosis-Related lncRNA Signature Predicts the Prognosis of Bladder Cancer Patients

Abstract

Background: Ferroptosis is closely related to the occurrence and development of cancer. An increasing number of studies have induced ferroptosis as a treatment strategy for cancer. However, the predictive value of ferroptosis-related lncRNAs in bladder cancer (BC) still need to be further elucidated. The purpose of this study was to construct a predictive signature based on ferroptosis-related long noncoding RNAs (lncRNAs) to predict the prognosis of BC patients.Methods: We downloaded RNA-seq data and the corresponding clinical and prognostic data from The Cancer Genome Atlas (TCGA) database and performed univariate and multivariate Cox regression analyses to obtain ferroptosis-related lncRNAs to construct a predictive signature. The Kaplan-Meier method was used to analyze the overall survival (OS) rate of the high-risk and low-risk groups. Gene set enrichment analysis (GSEA) was performed to explore the functional differences between the high- and low-risk groups. Single-sample gene set enrichment analysis (ssGSEA) was used to explore the relationship between the predictive signature and immune status. Finally, the correlation between the predictive signature and the treatment response of BC patients was analyzed.Results: We constructed a signature composed of nine ferroptosis-related lncRNAs (AL031775.1, AL162586.1, AC034236.2, LINC01004, OCIAD1-AS1, AL136084.3, AP003352.1, Z84484.1, AC022150.2). Compared with the low-risk group, the high-risk group had a worse prognosis. The ferroptosis-related lncRNA signature could independently predict the prognosis of patients with BC. Compared with clinicopathological variables, the ferroptosis-related lncRNA signature has a higher diagnostic efficiency, and the area under the receiver operating characteristic curve was 0.707. When patients were stratified according to different clinicopathological variables, the OS of patients in the high-risk group was shorter than that of those in the low-risk group. GSEA showed that tumor- and immune-related pathways were mainly enriched in the high-risk group. ssGSEA showed that the predictive signature was significantly related to the immune status of BC patients. High-risk patients were more sensitive to anti-PD-1/L1 immunotherapy and the conventional chemotherapy drugs sunitinib, paclitaxel, cisplatin, and docetaxel.Conclusion: The predictive signature can independently predict the prognosis of BC patients, provides a basis for the mechanism of ferroptosis-related lncRNAs in BC and provides clinical treatment guidance for patients with BC.

Prediction of Prognosis and Molecular Mechanism of Ferroptosis in Hepatocellular Carcinoma Based on Bioinformatics Methods

“…As bioinformatics technology has advanced in recent years, a variety of lncRNA-related signatures have been established to predict the outcome of patients with fatal malignancies such as pancreatic cancer, breast cancer, colorectal cancer, and bladder cancer [ 19 – 22 ]. Nevertheless, FRL signatures for forecasting the survival and molecular characteristics of HCC are rarely reported.…”

“…to predict the outcome of patients with fatal malignancies such as pancreatic cancer, breast cancer, colorectal cancer, and bladder cancer [19][20][21][22]. Nevertheless, FRL signatures for forecasting the survival and molecular characteristics of HCC are rarely reported.…”

A Prognostic Model of Bladder Cancer Based on Metabolism-Related Long Non-Coding RNAs

“…Ferroptosis, an iron-dependent form of nonapoptotic cell death has been proved to be closely related to the development of cancer (27). The ferroptosis-related lncRNA signatures can predict the prognosis of bladder cancer patients, which still needs further experimental verification in the future (28).…”

A Prognostic Necroptosis-Related lncRNA Signature to Predict the Immune Response and Drug Sensitivity of Bladder Cancer

“…There may also be crosstalk between necroptosis and other forms of PCD, such as ferroptosis or pyroptosis [21]. Researchers constructed a 9-ferroptosis-related lncRNAs model to predict the prognosis of patients with BLCA and found that they were more sensitive to anti-PD-1/L1 immunotherapy and chemotherapy drugs, such as sunitinib, paclitaxel, docetaxel, and docetaxel [22]. Recently, an 8-nrlncRNAs prognostic signature associated with pyroptosis was developed to explore the molecular markers of BLCA [23].…”