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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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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 |
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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 |
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