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

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...

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Autores principales:	Mei Chen, Zhenyu Nie, Yan Li, Yuanhui Gao, Xiaohong Wen, Hui Cao, Shufang Zhang
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	ferroptosis lncRNAs bladder cancer immune infiltration drug therapy Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/d29a861730454ccbbf02b1b3a12e6f1c
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spelling	oai:doaj.org-article:d29a861730454ccbbf02b1b3a12e6f1c2021-11-16T06:36:52ZA New Ferroptosis-Related lncRNA Signature Predicts the Prognosis of Bladder Cancer Patients2296-634X10.3389/fcell.2021.699804https://doaj.org/article/d29a861730454ccbbf02b1b3a12e6f1c2021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fcell.2021.699804/fullhttps://doaj.org/toc/2296-634XBackground: 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.Mei ChenZhenyu NieYan LiYuanhui GaoXiaohong WenHui CaoShufang ZhangFrontiers Media S.A.articleferroptosislncRNAsbladder cancerimmune infiltrationdrug therapyBiology (General)QH301-705.5ENFrontiers in Cell and Developmental Biology, Vol 9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	ferroptosis lncRNAs bladder cancer immune infiltration drug therapy Biology (General) QH301-705.5
spellingShingle	ferroptosis lncRNAs bladder cancer immune infiltration drug therapy Biology (General) QH301-705.5 Mei Chen Zhenyu Nie Yan Li Yuanhui Gao Xiaohong Wen Hui Cao Shufang Zhang A New Ferroptosis-Related lncRNA Signature Predicts the Prognosis of Bladder Cancer Patients
description	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.
format	article
author	Mei Chen Zhenyu Nie Yan Li Yuanhui Gao Xiaohong Wen Hui Cao Shufang Zhang
author_facet	Mei Chen Zhenyu Nie Yan Li Yuanhui Gao Xiaohong Wen Hui Cao Shufang Zhang
author_sort	Mei Chen
title	A New Ferroptosis-Related lncRNA Signature Predicts the Prognosis of Bladder Cancer Patients
title_short	A New Ferroptosis-Related lncRNA Signature Predicts the Prognosis of Bladder Cancer Patients
title_full	A New Ferroptosis-Related lncRNA Signature Predicts the Prognosis of Bladder Cancer Patients
title_fullStr	A New Ferroptosis-Related lncRNA Signature Predicts the Prognosis of Bladder Cancer Patients
title_full_unstemmed	A New Ferroptosis-Related lncRNA Signature Predicts the Prognosis of Bladder Cancer Patients
title_sort	new ferroptosis-related lncrna signature predicts the prognosis of bladder cancer patients
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/d29a861730454ccbbf02b1b3a12e6f1c
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A New Ferroptosis-Related lncRNA Signature Predicts the Prognosis of Bladder Cancer Patients

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