Exploration of Redox-Related Molecular Patterns and the Redox Score for Prostate Cancer

Redox homeostasis is the key to cell survival, and its imbalance can promote the occurrence and progression of tumors. However, it remains unclear whether these redox-related genes (RRGs) have potential roles in the tumor microenvironment, immunotherapy, and drug sensitivity. Here, we performed a sy...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Yue Wu, Xi Zhang, Huan Feng, Bintao Hu, Zhiyao Deng, Chengwei Wang, Bo Liu, Yang Luan, Yajun Ruan, Xiaming Liu, Zhuo Liu, Jihong Liu, Tao Wang
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Cytology QH573-671
Acceso en línea:	https://doaj.org/article/66c8d8ceed3a4d28acc6a5555625b1b6
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:66c8d8ceed3a4d28acc6a5555625b1b6
record_format	dspace
spelling	oai:doaj.org-article:66c8d8ceed3a4d28acc6a5555625b1b62021-11-22T01:09:52ZExploration of Redox-Related Molecular Patterns and the Redox Score for Prostate Cancer1942-099410.1155/2021/4548594https://doaj.org/article/66c8d8ceed3a4d28acc6a5555625b1b62021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/4548594https://doaj.org/toc/1942-0994Redox homeostasis is the key to cell survival, and its imbalance can promote the occurrence and progression of tumors. However, it remains unclear whether these redox-related genes (RRGs) have potential roles in the tumor microenvironment, immunotherapy, and drug sensitivity. Here, we performed a systematic and comprehensive analysis of 489 prostate cancer (PC) samples from The Cancer Genome Atlas database and 214 PC samples from 8 datasets in the Gene Expression Omnibus database to determine redox modification patterns and the redox scoring system for PC. We identified two modification patterns (Redox_A and Redox_B) in PC using unsupervised consensus clustering based on 1410 differential expression RRGs. We then compared the prognostic value, tumor microenvironment characteristics, immune cell infiltration, and molecular characteristics of the two patterns. The Redox_A pattern was significantly enriched in the carcinogenic activation signaling pathways and had a poor prognosis, while the Redox_B pattern was mainly enriched in a variety of metabolic and redox pathways and had a good prognosis. Next, redox-related characteristic genes were extracted from these two patterns, and a scoring system (Redox_score) was constructed to evaluate PC patients. Further analysis indicated that lower Redox_score patients had a better prognosis, while higher Redox_score patients had a higher tumor mutation burden, driver gene mutation rate, and immune checkpoint inhibitor gene expression. We also found that higher Redox_score patients were more responsive to anti-PD-1 immunotherapy. Moreover, Redox_score was determined to be significantly correlated with anticancer drug sensitivity and resistance. Our study provides a comprehensive analysis of redox modifications in PC and reveals new patterns of PC based on RRGs, which will provide insights into the complex mechanisms of PC and develop more effective individualized therapeutic strategies.Yue WuXi ZhangHuan FengBintao HuZhiyao DengChengwei WangBo LiuYang LuanYajun RuanXiaming LiuZhuo LiuJihong LiuTao WangHindawi LimitedarticleCytologyQH573-671ENOxidative Medicine and Cellular Longevity, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Cytology QH573-671
spellingShingle	Cytology QH573-671 Yue Wu Xi Zhang Huan Feng Bintao Hu Zhiyao Deng Chengwei Wang Bo Liu Yang Luan Yajun Ruan Xiaming Liu Zhuo Liu Jihong Liu Tao Wang Exploration of Redox-Related Molecular Patterns and the Redox Score for Prostate Cancer
description	Redox homeostasis is the key to cell survival, and its imbalance can promote the occurrence and progression of tumors. However, it remains unclear whether these redox-related genes (RRGs) have potential roles in the tumor microenvironment, immunotherapy, and drug sensitivity. Here, we performed a systematic and comprehensive analysis of 489 prostate cancer (PC) samples from The Cancer Genome Atlas database and 214 PC samples from 8 datasets in the Gene Expression Omnibus database to determine redox modification patterns and the redox scoring system for PC. We identified two modification patterns (Redox_A and Redox_B) in PC using unsupervised consensus clustering based on 1410 differential expression RRGs. We then compared the prognostic value, tumor microenvironment characteristics, immune cell infiltration, and molecular characteristics of the two patterns. The Redox_A pattern was significantly enriched in the carcinogenic activation signaling pathways and had a poor prognosis, while the Redox_B pattern was mainly enriched in a variety of metabolic and redox pathways and had a good prognosis. Next, redox-related characteristic genes were extracted from these two patterns, and a scoring system (Redox_score) was constructed to evaluate PC patients. Further analysis indicated that lower Redox_score patients had a better prognosis, while higher Redox_score patients had a higher tumor mutation burden, driver gene mutation rate, and immune checkpoint inhibitor gene expression. We also found that higher Redox_score patients were more responsive to anti-PD-1 immunotherapy. Moreover, Redox_score was determined to be significantly correlated with anticancer drug sensitivity and resistance. Our study provides a comprehensive analysis of redox modifications in PC and reveals new patterns of PC based on RRGs, which will provide insights into the complex mechanisms of PC and develop more effective individualized therapeutic strategies.
format	article
author	Yue Wu Xi Zhang Huan Feng Bintao Hu Zhiyao Deng Chengwei Wang Bo Liu Yang Luan Yajun Ruan Xiaming Liu Zhuo Liu Jihong Liu Tao Wang
author_facet	Yue Wu Xi Zhang Huan Feng Bintao Hu Zhiyao Deng Chengwei Wang Bo Liu Yang Luan Yajun Ruan Xiaming Liu Zhuo Liu Jihong Liu Tao Wang
author_sort	Yue Wu
title	Exploration of Redox-Related Molecular Patterns and the Redox Score for Prostate Cancer
title_short	Exploration of Redox-Related Molecular Patterns and the Redox Score for Prostate Cancer
title_full	Exploration of Redox-Related Molecular Patterns and the Redox Score for Prostate Cancer
title_fullStr	Exploration of Redox-Related Molecular Patterns and the Redox Score for Prostate Cancer
title_full_unstemmed	Exploration of Redox-Related Molecular Patterns and the Redox Score for Prostate Cancer
title_sort	exploration of redox-related molecular patterns and the redox score for prostate cancer
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/66c8d8ceed3a4d28acc6a5555625b1b6
work_keys_str_mv	AT yuewu explorationofredoxrelatedmolecularpatternsandtheredoxscoreforprostatecancer AT xizhang explorationofredoxrelatedmolecularpatternsandtheredoxscoreforprostatecancer AT huanfeng explorationofredoxrelatedmolecularpatternsandtheredoxscoreforprostatecancer AT bintaohu explorationofredoxrelatedmolecularpatternsandtheredoxscoreforprostatecancer AT zhiyaodeng explorationofredoxrelatedmolecularpatternsandtheredoxscoreforprostatecancer AT chengweiwang explorationofredoxrelatedmolecularpatternsandtheredoxscoreforprostatecancer AT boliu explorationofredoxrelatedmolecularpatternsandtheredoxscoreforprostatecancer AT yangluan explorationofredoxrelatedmolecularpatternsandtheredoxscoreforprostatecancer AT yajunruan explorationofredoxrelatedmolecularpatternsandtheredoxscoreforprostatecancer AT xiamingliu explorationofredoxrelatedmolecularpatternsandtheredoxscoreforprostatecancer AT zhuoliu explorationofredoxrelatedmolecularpatternsandtheredoxscoreforprostatecancer AT jihongliu explorationofredoxrelatedmolecularpatternsandtheredoxscoreforprostatecancer AT taowang explorationofredoxrelatedmolecularpatternsandtheredoxscoreforprostatecancer
_version_	1718418404838211584

Exploration of Redox-Related Molecular Patterns and the Redox Score for Prostate Cancer

Ejemplares similares