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A novel oxidative stress- and ferroptosis-related gene prognostic signature for distinguishing cold and hot tumors in colorectal cancer

Oxidative stress and ferroptosis exhibit crosstalk in many types of human diseases, including malignant tumors. We aimed to develop an oxidative stress- and ferroptosis-related gene (OFRG) prognostic signature to predict the prognosis and therapeutic response in patients with colorectal cancer (CRC)...

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Autores principales: Wang, Xu, Xu, Yuanmin, Dai, Longfei, Yu, Zhen, Wang, Ming, Chan, Shixin, Sun, Rui, Han, Qijun, Chen, Jiajie, Zuo, Xiaomin, Wang, Zhenglin, Hu, Xianyu, Yang, Yang, Zhao, Hu, Hu, Kongwang, Zhang, Huabing, Chen, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9660228/
https://www.ncbi.nlm.nih.gov/pubmed/36389694
http://dx.doi.org/10.3389/fimmu.2022.1043738
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author Wang, Xu
Xu, Yuanmin
Dai, Longfei
Yu, Zhen
Wang, Ming
Chan, Shixin
Sun, Rui
Han, Qijun
Chen, Jiajie
Zuo, Xiaomin
Wang, Zhenglin
Hu, Xianyu
Yang, Yang
Zhao, Hu
Hu, Kongwang
Zhang, Huabing
Chen, Wei
author_facet Wang, Xu
Xu, Yuanmin
Dai, Longfei
Yu, Zhen
Wang, Ming
Chan, Shixin
Sun, Rui
Han, Qijun
Chen, Jiajie
Zuo, Xiaomin
Wang, Zhenglin
Hu, Xianyu
Yang, Yang
Zhao, Hu
Hu, Kongwang
Zhang, Huabing
Chen, Wei
author_sort Wang, Xu
collection PubMed
description Oxidative stress and ferroptosis exhibit crosstalk in many types of human diseases, including malignant tumors. We aimed to develop an oxidative stress- and ferroptosis-related gene (OFRG) prognostic signature to predict the prognosis and therapeutic response in patients with colorectal cancer (CRC). Thirty-four insertion genes between oxidative stress-related genes and ferroptosis-related genes were identified as OFRGs. We then performed bioinformatics analysis of the expression profiles of 34 OFRGs and clinical information of patients obtained from multiple datasets. Patients with CRC were divided into three OFRG clusters, and differentially expressed genes (DEGs) between clusters were identified. OFRG clusters correlated with patient survival and immune cell infiltration. Prognosis-related DEGs in three clusters were used to calculate the risk score, and a prognostic signature was constructed according to the risk score. In this study, patients in the low-risk group had better prognosis, higher immune cell infiltration levels, and better responses to fluorouracil-based chemotherapy and immune checkpoint blockade therapy than high-risk patients; these results were successfully validated with multiple independent datasets. Thus, low-risk CRC could be defined as hot tumors and high-risk CRC could be defined as cold tumors. To further identify potential biomarkers for CRC, the expression levels of five signature genes in CRC and adjacent normal tissues were further verified via an in vitro experiment. In conclusion, we identified 34 OFRGs and constructed an OFRG-related prognostic signature, which showed excellent performance in predicting survival and therapeutic responses for patients with CRC. This could help to distinguish cold and hot tumors in CRC, and the results might be helpful for precise treatment protocols in clinical practice.
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spelling pubmed-96602282022-11-15 A novel oxidative stress- and ferroptosis-related gene prognostic signature for distinguishing cold and hot tumors in colorectal cancer Wang, Xu Xu, Yuanmin Dai, Longfei Yu, Zhen Wang, Ming Chan, Shixin Sun, Rui Han, Qijun Chen, Jiajie Zuo, Xiaomin Wang, Zhenglin Hu, Xianyu Yang, Yang Zhao, Hu Hu, Kongwang Zhang, Huabing Chen, Wei Front Immunol Immunology Oxidative stress and ferroptosis exhibit crosstalk in many types of human diseases, including malignant tumors. We aimed to develop an oxidative stress- and ferroptosis-related gene (OFRG) prognostic signature to predict the prognosis and therapeutic response in patients with colorectal cancer (CRC). Thirty-four insertion genes between oxidative stress-related genes and ferroptosis-related genes were identified as OFRGs. We then performed bioinformatics analysis of the expression profiles of 34 OFRGs and clinical information of patients obtained from multiple datasets. Patients with CRC were divided into three OFRG clusters, and differentially expressed genes (DEGs) between clusters were identified. OFRG clusters correlated with patient survival and immune cell infiltration. Prognosis-related DEGs in three clusters were used to calculate the risk score, and a prognostic signature was constructed according to the risk score. In this study, patients in the low-risk group had better prognosis, higher immune cell infiltration levels, and better responses to fluorouracil-based chemotherapy and immune checkpoint blockade therapy than high-risk patients; these results were successfully validated with multiple independent datasets. Thus, low-risk CRC could be defined as hot tumors and high-risk CRC could be defined as cold tumors. To further identify potential biomarkers for CRC, the expression levels of five signature genes in CRC and adjacent normal tissues were further verified via an in vitro experiment. In conclusion, we identified 34 OFRGs and constructed an OFRG-related prognostic signature, which showed excellent performance in predicting survival and therapeutic responses for patients with CRC. This could help to distinguish cold and hot tumors in CRC, and the results might be helpful for precise treatment protocols in clinical practice. Frontiers Media S.A. 2022-10-31 /pmc/articles/PMC9660228/ /pubmed/36389694 http://dx.doi.org/10.3389/fimmu.2022.1043738 Text en Copyright © 2022 Wang, Xu, Dai, Yu, Wang, Chan, Sun, Han, Chen, Zuo, Wang, Hu, Yang, Zhao, Hu, Zhang and Chen 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 Immunology
Wang, Xu
Xu, Yuanmin
Dai, Longfei
Yu, Zhen
Wang, Ming
Chan, Shixin
Sun, Rui
Han, Qijun
Chen, Jiajie
Zuo, Xiaomin
Wang, Zhenglin
Hu, Xianyu
Yang, Yang
Zhao, Hu
Hu, Kongwang
Zhang, Huabing
Chen, Wei
A novel oxidative stress- and ferroptosis-related gene prognostic signature for distinguishing cold and hot tumors in colorectal cancer
title A novel oxidative stress- and ferroptosis-related gene prognostic signature for distinguishing cold and hot tumors in colorectal cancer
title_full A novel oxidative stress- and ferroptosis-related gene prognostic signature for distinguishing cold and hot tumors in colorectal cancer
title_fullStr A novel oxidative stress- and ferroptosis-related gene prognostic signature for distinguishing cold and hot tumors in colorectal cancer
title_full_unstemmed A novel oxidative stress- and ferroptosis-related gene prognostic signature for distinguishing cold and hot tumors in colorectal cancer
title_short A novel oxidative stress- and ferroptosis-related gene prognostic signature for distinguishing cold and hot tumors in colorectal cancer
title_sort novel oxidative stress- and ferroptosis-related gene prognostic signature for distinguishing cold and hot tumors in colorectal cancer
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9660228/
https://www.ncbi.nlm.nih.gov/pubmed/36389694
http://dx.doi.org/10.3389/fimmu.2022.1043738
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