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Identification of a Novel Ferroptosis-Related Gene Prognostic Signature in Bladder Cancer

BACKGROUND: Ferroptosis is a newly found non-apoptotic forms of cell death that plays an important role in tumors. However, the prognostic value of ferroptosis-related genes (FRG) in bladder cancer (BLCA) have not been well examined. METHODS: FRG data and clinical information were collected from The...

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Detalles Bibliográficos
Autores principales: Sun, Jiale, Yue, Wenchang, You, Jiawei, Wei, Xuedong, Huang, Yuhua, Ling, Zhixin, Hou, Jianquan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8455063/
https://www.ncbi.nlm.nih.gov/pubmed/34557413
http://dx.doi.org/10.3389/fonc.2021.730716
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author Sun, Jiale
Yue, Wenchang
You, Jiawei
Wei, Xuedong
Huang, Yuhua
Ling, Zhixin
Hou, Jianquan
author_facet Sun, Jiale
Yue, Wenchang
You, Jiawei
Wei, Xuedong
Huang, Yuhua
Ling, Zhixin
Hou, Jianquan
author_sort Sun, Jiale
collection PubMed
description BACKGROUND: Ferroptosis is a newly found non-apoptotic forms of cell death that plays an important role in tumors. However, the prognostic value of ferroptosis-related genes (FRG) in bladder cancer (BLCA) have not been well examined. METHODS: FRG data and clinical information were collected from The Cancer Genome Atlas (TCGA). Then, significantly different FRGs were investigated by functional enrichment analyses. The prognostic FRG signature was identified by univariate cox regression and least absolute shrinkage and selection operator (LASSO) analysis, which was validated in TCGA cohort and Gene Expression Omnibus (GEO) cohort. Subsequently, the nomogram integrating risk scores and clinical parameters were established and evaluated. Additionally, Gene Set Enrichment Analyses (GSEA) was performed to explore the potential molecular mechanisms underlying our prognostic FRG signature. Finally, the expression of three key FRGs was verified in clinical specimens. RESULTS: Thirty-two significantly different FRGs were identified from TCGA–BLCA cohort. Enrichment analyses showed that these genes were mainly related to the ferroptosis. Seven genes (TFRC, G6PD, SLC38A1, ZEB1, SCD, SRC, and PRDX6) were then identified to develop a prognostic signature. The Kaplan–Meier analysis confirmed the predictive value of the signature for overall survival (OS) in both TCGA and GEO cohort. A nomogram integrating age and risk scores was established and demonstrated high predictive accuracy, which was validated through calibration curves and receiver operating characteristic (ROC) curve [area under the curve (AUC) = 0.690]. GSEA showed that molecular alteration in the high- or low-risk group was closely associated with ferroptosis. Finally, experimental results confirmed the expression of SCD, SRC, and PRDX6 in BLCA. CONCLUSION: Herein, we identified a novel FRG prognostic signature that maybe involved in BLCA. It showed high values in predicting OS, and targeting these FRGs may be an alternative for BLCA treatment. Further experimental studies are warranted to uncover the mechanisms that these FRGs mediate BLCA progression.
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spelling pubmed-84550632021-09-22 Identification of a Novel Ferroptosis-Related Gene Prognostic Signature in Bladder Cancer Sun, Jiale Yue, Wenchang You, Jiawei Wei, Xuedong Huang, Yuhua Ling, Zhixin Hou, Jianquan Front Oncol Oncology BACKGROUND: Ferroptosis is a newly found non-apoptotic forms of cell death that plays an important role in tumors. However, the prognostic value of ferroptosis-related genes (FRG) in bladder cancer (BLCA) have not been well examined. METHODS: FRG data and clinical information were collected from The Cancer Genome Atlas (TCGA). Then, significantly different FRGs were investigated by functional enrichment analyses. The prognostic FRG signature was identified by univariate cox regression and least absolute shrinkage and selection operator (LASSO) analysis, which was validated in TCGA cohort and Gene Expression Omnibus (GEO) cohort. Subsequently, the nomogram integrating risk scores and clinical parameters were established and evaluated. Additionally, Gene Set Enrichment Analyses (GSEA) was performed to explore the potential molecular mechanisms underlying our prognostic FRG signature. Finally, the expression of three key FRGs was verified in clinical specimens. RESULTS: Thirty-two significantly different FRGs were identified from TCGA–BLCA cohort. Enrichment analyses showed that these genes were mainly related to the ferroptosis. Seven genes (TFRC, G6PD, SLC38A1, ZEB1, SCD, SRC, and PRDX6) were then identified to develop a prognostic signature. The Kaplan–Meier analysis confirmed the predictive value of the signature for overall survival (OS) in both TCGA and GEO cohort. A nomogram integrating age and risk scores was established and demonstrated high predictive accuracy, which was validated through calibration curves and receiver operating characteristic (ROC) curve [area under the curve (AUC) = 0.690]. GSEA showed that molecular alteration in the high- or low-risk group was closely associated with ferroptosis. Finally, experimental results confirmed the expression of SCD, SRC, and PRDX6 in BLCA. CONCLUSION: Herein, we identified a novel FRG prognostic signature that maybe involved in BLCA. It showed high values in predicting OS, and targeting these FRGs may be an alternative for BLCA treatment. Further experimental studies are warranted to uncover the mechanisms that these FRGs mediate BLCA progression. Frontiers Media S.A. 2021-09-07 /pmc/articles/PMC8455063/ /pubmed/34557413 http://dx.doi.org/10.3389/fonc.2021.730716 Text en Copyright © 2021 Sun, Yue, You, Wei, Huang, Ling and Hou https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Sun, Jiale
Yue, Wenchang
You, Jiawei
Wei, Xuedong
Huang, Yuhua
Ling, Zhixin
Hou, Jianquan
Identification of a Novel Ferroptosis-Related Gene Prognostic Signature in Bladder Cancer
title Identification of a Novel Ferroptosis-Related Gene Prognostic Signature in Bladder Cancer
title_full Identification of a Novel Ferroptosis-Related Gene Prognostic Signature in Bladder Cancer
title_fullStr Identification of a Novel Ferroptosis-Related Gene Prognostic Signature in Bladder Cancer
title_full_unstemmed Identification of a Novel Ferroptosis-Related Gene Prognostic Signature in Bladder Cancer
title_short Identification of a Novel Ferroptosis-Related Gene Prognostic Signature in Bladder Cancer
title_sort identification of a novel ferroptosis-related gene prognostic signature in bladder cancer
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8455063/
https://www.ncbi.nlm.nih.gov/pubmed/34557413
http://dx.doi.org/10.3389/fonc.2021.730716
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