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Prognosis Risk Model Based on Necroptosis-Related Signature for Bladder Cancer

Background: Bladder cancer(BLCA) is the ninth most common cancer. In recent years, necroptosis was found to be related to the occurrence and development of tumors. In this study, we aimed to construct a model based on a necroptosis-related signature to evaluate the potential prognostic application i...

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Autores principales: Chen, Zhenghao, Cao, Rui, Wang, Ren, Wang, Yichuan, Shang, Donghao, Tian, Ye
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9690141/
https://www.ncbi.nlm.nih.gov/pubmed/36421795
http://dx.doi.org/10.3390/genes13112120
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author Chen, Zhenghao
Cao, Rui
Wang, Ren
Wang, Yichuan
Shang, Donghao
Tian, Ye
author_facet Chen, Zhenghao
Cao, Rui
Wang, Ren
Wang, Yichuan
Shang, Donghao
Tian, Ye
author_sort Chen, Zhenghao
collection PubMed
description Background: Bladder cancer(BLCA) is the ninth most common cancer. In recent years, necroptosis was found to be related to the occurrence and development of tumors. In this study, we aimed to construct a model based on a necroptosis-related signature to evaluate the potential prognostic application in BLCA. Methods: A total of 67 necroptosis-related genes were used to select the ideal cluster numbers, and it was found that there were four necroptosis-related patterns. Then, we compared the gene expression levels among all of the groups and established a necroptosis-related prognostic model. We made the following enrichment analysis of function and built a novel scoring system, the NEC score, to evaluate the state of necroptosis according to the expression level of necroptosis-related genes. Results: A total of 67 necroptosis-related genes were used to define four distinct necroptosis-related patterns: NEC cluster1–4. Each NEC cluster exhibited different patterns of survival and immune infiltration. Based on univariate Cox regression analyses and least absolute shrinkage and selection operator (Lasso) regression, 14 necroptosis-related genes were established to develop the NEC score. Patients were divided into two groups based on the NEC score. Patients in the high NEC score group had a significantly poorer overall survival than those in the low NEC score group. We further confirmed the correlation of clinical characteristics, as well as the immunotherapy outcome, with the NEC score, and confirmed the potential of the NEC score to be an independent prognostic factor. Furthermore, we compared the expression levels of eight potential biomarker genes between our own BLCA tissues and para-carcinoma tissue. Conclusion: We developed a novel NEC score that has a potential prognostic value in BLCA patients and may help personalized immunotherapy counselling.
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spelling pubmed-96901412022-11-25 Prognosis Risk Model Based on Necroptosis-Related Signature for Bladder Cancer Chen, Zhenghao Cao, Rui Wang, Ren Wang, Yichuan Shang, Donghao Tian, Ye Genes (Basel) Article Background: Bladder cancer(BLCA) is the ninth most common cancer. In recent years, necroptosis was found to be related to the occurrence and development of tumors. In this study, we aimed to construct a model based on a necroptosis-related signature to evaluate the potential prognostic application in BLCA. Methods: A total of 67 necroptosis-related genes were used to select the ideal cluster numbers, and it was found that there were four necroptosis-related patterns. Then, we compared the gene expression levels among all of the groups and established a necroptosis-related prognostic model. We made the following enrichment analysis of function and built a novel scoring system, the NEC score, to evaluate the state of necroptosis according to the expression level of necroptosis-related genes. Results: A total of 67 necroptosis-related genes were used to define four distinct necroptosis-related patterns: NEC cluster1–4. Each NEC cluster exhibited different patterns of survival and immune infiltration. Based on univariate Cox regression analyses and least absolute shrinkage and selection operator (Lasso) regression, 14 necroptosis-related genes were established to develop the NEC score. Patients were divided into two groups based on the NEC score. Patients in the high NEC score group had a significantly poorer overall survival than those in the low NEC score group. We further confirmed the correlation of clinical characteristics, as well as the immunotherapy outcome, with the NEC score, and confirmed the potential of the NEC score to be an independent prognostic factor. Furthermore, we compared the expression levels of eight potential biomarker genes between our own BLCA tissues and para-carcinoma tissue. Conclusion: We developed a novel NEC score that has a potential prognostic value in BLCA patients and may help personalized immunotherapy counselling. MDPI 2022-11-15 /pmc/articles/PMC9690141/ /pubmed/36421795 http://dx.doi.org/10.3390/genes13112120 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chen, Zhenghao
Cao, Rui
Wang, Ren
Wang, Yichuan
Shang, Donghao
Tian, Ye
Prognosis Risk Model Based on Necroptosis-Related Signature for Bladder Cancer
title Prognosis Risk Model Based on Necroptosis-Related Signature for Bladder Cancer
title_full Prognosis Risk Model Based on Necroptosis-Related Signature for Bladder Cancer
title_fullStr Prognosis Risk Model Based on Necroptosis-Related Signature for Bladder Cancer
title_full_unstemmed Prognosis Risk Model Based on Necroptosis-Related Signature for Bladder Cancer
title_short Prognosis Risk Model Based on Necroptosis-Related Signature for Bladder Cancer
title_sort prognosis risk model based on necroptosis-related signature for bladder cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9690141/
https://www.ncbi.nlm.nih.gov/pubmed/36421795
http://dx.doi.org/10.3390/genes13112120
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