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Ferroptosis-related gene signatures in neuroblastoma associated with prognosis

Background: Ferroptosis, a form of regulatory cell death, has been linked to the development of various tumors. Peripheral neuroblastoma (NB) is one of the most common extracranial solid tumors in children, and it has been proposed that regulating tumor cell ferroptosis may be a future treatment for...

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Autores principales: Chen, Yiru, Li, Zihao, Cao, Qingtai, Guan, Haoyu, Mao, Longfei, Zhao, Mingyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9486025/
https://www.ncbi.nlm.nih.gov/pubmed/36147739
http://dx.doi.org/10.3389/fcell.2022.871512
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author Chen, Yiru
Li, Zihao
Cao, Qingtai
Guan, Haoyu
Mao, Longfei
Zhao, Mingyi
author_facet Chen, Yiru
Li, Zihao
Cao, Qingtai
Guan, Haoyu
Mao, Longfei
Zhao, Mingyi
author_sort Chen, Yiru
collection PubMed
description Background: Ferroptosis, a form of regulatory cell death, has been linked to the development of various tumors. Peripheral neuroblastoma (NB) is one of the most common extracranial solid tumors in children, and it has been proposed that regulating tumor cell ferroptosis may be a future treatment for NB. However, it is unclear how ferroptosis contributes to NB development. Methods: Expression data were collected from two independent cohorts (GEO and Arrayexpress databases). Univariate Cox analysis, multivariate Cox analysis, and the least absolute shrinkage and selection operator (Lasso) algorithm were applied to create a prognostic signature, whose performance was quantified using the area under the receiver operating characteristic curve (AUC) and Kaplan–Meier curves. A prognostic meta-analysis was used to test the suitability and stability of the FRG signature. Drug sensitivity analyses were performed using the data collected from Cell Miner™. Results: PROM2, AURKA, STEAP3, CD44, ULK2, MAP1LC3A, ATP6V1G2, and STAT3 are among the eight genes in the FRG prognostic signature, all of which were highly expressed in stage 1 NB, except AURKA. Furthermore, the high-risk group, which was stratified by signature, had a lower overall survival rate than the low-risk group. GSEA revealed that high-risk groups have more biological processes related to ferroptosis. Conclusion: Ferroptosis-related genes are expressed differently between stages 1 and 4 NB. The FRG signature successfully stratified NB patients into two risk groups and can accurately predict the overall survival in NB. In addition, we found that the gene AURKA might have the potential to be a prognostic marker in NB.
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spelling pubmed-94860252022-09-21 Ferroptosis-related gene signatures in neuroblastoma associated with prognosis Chen, Yiru Li, Zihao Cao, Qingtai Guan, Haoyu Mao, Longfei Zhao, Mingyi Front Cell Dev Biol Cell and Developmental Biology Background: Ferroptosis, a form of regulatory cell death, has been linked to the development of various tumors. Peripheral neuroblastoma (NB) is one of the most common extracranial solid tumors in children, and it has been proposed that regulating tumor cell ferroptosis may be a future treatment for NB. However, it is unclear how ferroptosis contributes to NB development. Methods: Expression data were collected from two independent cohorts (GEO and Arrayexpress databases). Univariate Cox analysis, multivariate Cox analysis, and the least absolute shrinkage and selection operator (Lasso) algorithm were applied to create a prognostic signature, whose performance was quantified using the area under the receiver operating characteristic curve (AUC) and Kaplan–Meier curves. A prognostic meta-analysis was used to test the suitability and stability of the FRG signature. Drug sensitivity analyses were performed using the data collected from Cell Miner™. Results: PROM2, AURKA, STEAP3, CD44, ULK2, MAP1LC3A, ATP6V1G2, and STAT3 are among the eight genes in the FRG prognostic signature, all of which were highly expressed in stage 1 NB, except AURKA. Furthermore, the high-risk group, which was stratified by signature, had a lower overall survival rate than the low-risk group. GSEA revealed that high-risk groups have more biological processes related to ferroptosis. Conclusion: Ferroptosis-related genes are expressed differently between stages 1 and 4 NB. The FRG signature successfully stratified NB patients into two risk groups and can accurately predict the overall survival in NB. In addition, we found that the gene AURKA might have the potential to be a prognostic marker in NB. Frontiers Media S.A. 2022-09-06 /pmc/articles/PMC9486025/ /pubmed/36147739 http://dx.doi.org/10.3389/fcell.2022.871512 Text en Copyright © 2022 Chen, Li, Cao, Guan, Mao and Zhao. 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 Cell and Developmental Biology
Chen, Yiru
Li, Zihao
Cao, Qingtai
Guan, Haoyu
Mao, Longfei
Zhao, Mingyi
Ferroptosis-related gene signatures in neuroblastoma associated with prognosis
title Ferroptosis-related gene signatures in neuroblastoma associated with prognosis
title_full Ferroptosis-related gene signatures in neuroblastoma associated with prognosis
title_fullStr Ferroptosis-related gene signatures in neuroblastoma associated with prognosis
title_full_unstemmed Ferroptosis-related gene signatures in neuroblastoma associated with prognosis
title_short Ferroptosis-related gene signatures in neuroblastoma associated with prognosis
title_sort ferroptosis-related gene signatures in neuroblastoma associated with prognosis
topic Cell and Developmental Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9486025/
https://www.ncbi.nlm.nih.gov/pubmed/36147739
http://dx.doi.org/10.3389/fcell.2022.871512
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