Cargando…

A prognosis model for clear cell renal cell carcinoma based on four necroptosis-related genes

Necroptosis is a type of caspase-independent cell death, and it plays a critical role in regulating the development of cancer. To date, little is known about the role of necroptosis-related genes (NRGs) in clear cell renal cell carcinoma (ccRCC). In this study, we downloaded data regarding the expre...

Descripción completa

Detalles Bibliográficos
Autores principales: Qiu, Qiangmin, Li, Yanze, Zhang, Ye, Hou, Yanguang, Hu, Juncheng, Wang, Lei, Chen, Zhiyuan, Lei, Yourong, Du, Yang, Liu, Xiuheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9395686/
https://www.ncbi.nlm.nih.gov/pubmed/36016998
http://dx.doi.org/10.3389/fmed.2022.942991
_version_ 1784771755487789056
author Qiu, Qiangmin
Li, Yanze
Zhang, Ye
Hou, Yanguang
Hu, Juncheng
Wang, Lei
Chen, Zhiyuan
Lei, Yourong
Du, Yang
Liu, Xiuheng
author_facet Qiu, Qiangmin
Li, Yanze
Zhang, Ye
Hou, Yanguang
Hu, Juncheng
Wang, Lei
Chen, Zhiyuan
Lei, Yourong
Du, Yang
Liu, Xiuheng
author_sort Qiu, Qiangmin
collection PubMed
description Necroptosis is a type of caspase-independent cell death, and it plays a critical role in regulating the development of cancer. To date, little is known about the role of necroptosis-related genes (NRGs) in clear cell renal cell carcinoma (ccRCC). In this study, we downloaded data regarding the expression of NRGs and overall survival (OS) from The Cancer Genome Atlas (TCGA) database and constructed a risk model to determine the prognostic features of necroptosis using COX regression analysis. Patients with ccRCC were divided into low-risk and high-risk groups based on their risk scores. Thereafter, Kaplan–Meier curves were used to evaluate OS, and receiver operating characteristic (ROC) curves were used to determine the accuracy of prediction. Stratified analyses were performed according to different clinical variables. Furthermore, we assessed the correlation between clinical variables and risk scores; the NRGs with differential expression were mainly enriched in positive regulation of intracellular transport and platinum resistance pathways. We constructed prognostic signatures for OS based on four NRGs and showed that the survival time was significantly longer in the low-risk groups than in the high-risk groups (p < 0.001). The area of the ROC curve for OS was 0.717, indicating excellent predictive accuracy of the established model. Therefore, a predictive model based on NRGs was constructed, which can predict the prognosis of patients and provides insights into the biological mechanisms underlying necroptosis in patients with ccRCC.
format Online
Article
Text
id pubmed-9395686
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-93956862022-08-24 A prognosis model for clear cell renal cell carcinoma based on four necroptosis-related genes Qiu, Qiangmin Li, Yanze Zhang, Ye Hou, Yanguang Hu, Juncheng Wang, Lei Chen, Zhiyuan Lei, Yourong Du, Yang Liu, Xiuheng Front Med (Lausanne) Medicine Necroptosis is a type of caspase-independent cell death, and it plays a critical role in regulating the development of cancer. To date, little is known about the role of necroptosis-related genes (NRGs) in clear cell renal cell carcinoma (ccRCC). In this study, we downloaded data regarding the expression of NRGs and overall survival (OS) from The Cancer Genome Atlas (TCGA) database and constructed a risk model to determine the prognostic features of necroptosis using COX regression analysis. Patients with ccRCC were divided into low-risk and high-risk groups based on their risk scores. Thereafter, Kaplan–Meier curves were used to evaluate OS, and receiver operating characteristic (ROC) curves were used to determine the accuracy of prediction. Stratified analyses were performed according to different clinical variables. Furthermore, we assessed the correlation between clinical variables and risk scores; the NRGs with differential expression were mainly enriched in positive regulation of intracellular transport and platinum resistance pathways. We constructed prognostic signatures for OS based on four NRGs and showed that the survival time was significantly longer in the low-risk groups than in the high-risk groups (p < 0.001). The area of the ROC curve for OS was 0.717, indicating excellent predictive accuracy of the established model. Therefore, a predictive model based on NRGs was constructed, which can predict the prognosis of patients and provides insights into the biological mechanisms underlying necroptosis in patients with ccRCC. Frontiers Media S.A. 2022-08-09 /pmc/articles/PMC9395686/ /pubmed/36016998 http://dx.doi.org/10.3389/fmed.2022.942991 Text en Copyright © 2022 Qiu, Li, Zhang, Hou, Hu, Wang, Chen, Lei, Du and Liu. 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 Medicine
Qiu, Qiangmin
Li, Yanze
Zhang, Ye
Hou, Yanguang
Hu, Juncheng
Wang, Lei
Chen, Zhiyuan
Lei, Yourong
Du, Yang
Liu, Xiuheng
A prognosis model for clear cell renal cell carcinoma based on four necroptosis-related genes
title A prognosis model for clear cell renal cell carcinoma based on four necroptosis-related genes
title_full A prognosis model for clear cell renal cell carcinoma based on four necroptosis-related genes
title_fullStr A prognosis model for clear cell renal cell carcinoma based on four necroptosis-related genes
title_full_unstemmed A prognosis model for clear cell renal cell carcinoma based on four necroptosis-related genes
title_short A prognosis model for clear cell renal cell carcinoma based on four necroptosis-related genes
title_sort prognosis model for clear cell renal cell carcinoma based on four necroptosis-related genes
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9395686/
https://www.ncbi.nlm.nih.gov/pubmed/36016998
http://dx.doi.org/10.3389/fmed.2022.942991
work_keys_str_mv AT qiuqiangmin aprognosismodelforclearcellrenalcellcarcinomabasedonfournecroptosisrelatedgenes
AT liyanze aprognosismodelforclearcellrenalcellcarcinomabasedonfournecroptosisrelatedgenes
AT zhangye aprognosismodelforclearcellrenalcellcarcinomabasedonfournecroptosisrelatedgenes
AT houyanguang aprognosismodelforclearcellrenalcellcarcinomabasedonfournecroptosisrelatedgenes
AT hujuncheng aprognosismodelforclearcellrenalcellcarcinomabasedonfournecroptosisrelatedgenes
AT wanglei aprognosismodelforclearcellrenalcellcarcinomabasedonfournecroptosisrelatedgenes
AT chenzhiyuan aprognosismodelforclearcellrenalcellcarcinomabasedonfournecroptosisrelatedgenes
AT leiyourong aprognosismodelforclearcellrenalcellcarcinomabasedonfournecroptosisrelatedgenes
AT duyang aprognosismodelforclearcellrenalcellcarcinomabasedonfournecroptosisrelatedgenes
AT liuxiuheng aprognosismodelforclearcellrenalcellcarcinomabasedonfournecroptosisrelatedgenes
AT qiuqiangmin prognosismodelforclearcellrenalcellcarcinomabasedonfournecroptosisrelatedgenes
AT liyanze prognosismodelforclearcellrenalcellcarcinomabasedonfournecroptosisrelatedgenes
AT zhangye prognosismodelforclearcellrenalcellcarcinomabasedonfournecroptosisrelatedgenes
AT houyanguang prognosismodelforclearcellrenalcellcarcinomabasedonfournecroptosisrelatedgenes
AT hujuncheng prognosismodelforclearcellrenalcellcarcinomabasedonfournecroptosisrelatedgenes
AT wanglei prognosismodelforclearcellrenalcellcarcinomabasedonfournecroptosisrelatedgenes
AT chenzhiyuan prognosismodelforclearcellrenalcellcarcinomabasedonfournecroptosisrelatedgenes
AT leiyourong prognosismodelforclearcellrenalcellcarcinomabasedonfournecroptosisrelatedgenes
AT duyang prognosismodelforclearcellrenalcellcarcinomabasedonfournecroptosisrelatedgenes
AT liuxiuheng prognosismodelforclearcellrenalcellcarcinomabasedonfournecroptosisrelatedgenes