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Comprehensive analysis of ferroptosis-related genes in immune infiltration and prognosis in multiple myeloma

Background: One particular type of cellular death that is known as ferroptosis is caused by the excessive lipid peroxidation. It is a regulated form of cell death that can affect the response of the tumor cells. Currently, it is not known if the presence of this condition can affect the prognosis of...

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Autores principales: Wang, Quanqiang, Zhao, Misheng, Zhang, Tianyu, Zhang, Bingxin, Zheng, Ziwei, Lin, Zhili, Zhou, Shujuan, Zheng, Dong, Chen, Zixing, Zheng, Sisi, Zhang, Yu, Lin, Xuanru, Dong, Rujiao, Chen, Jingjing, Qian, Honglan, Hu, Xudong, Zhuang, Yan, Zhang, Qianying, Jiang, Songfu, Ma, Yongyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10440437/
https://www.ncbi.nlm.nih.gov/pubmed/37608887
http://dx.doi.org/10.3389/fphar.2023.1203125
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author Wang, Quanqiang
Zhao, Misheng
Zhang, Tianyu
Zhang, Bingxin
Zheng, Ziwei
Lin, Zhili
Zhou, Shujuan
Zheng, Dong
Chen, Zixing
Zheng, Sisi
Zhang, Yu
Lin, Xuanru
Dong, Rujiao
Chen, Jingjing
Qian, Honglan
Hu, Xudong
Zhuang, Yan
Zhang, Qianying
Jiang, Songfu
Ma, Yongyong
author_facet Wang, Quanqiang
Zhao, Misheng
Zhang, Tianyu
Zhang, Bingxin
Zheng, Ziwei
Lin, Zhili
Zhou, Shujuan
Zheng, Dong
Chen, Zixing
Zheng, Sisi
Zhang, Yu
Lin, Xuanru
Dong, Rujiao
Chen, Jingjing
Qian, Honglan
Hu, Xudong
Zhuang, Yan
Zhang, Qianying
Jiang, Songfu
Ma, Yongyong
author_sort Wang, Quanqiang
collection PubMed
description Background: One particular type of cellular death that is known as ferroptosis is caused by the excessive lipid peroxidation. It is a regulated form of cell death that can affect the response of the tumor cells. Currently, it is not known if the presence of this condition can affect the prognosis of patients with multiple myeloma (MM). Methods: In this study, we studied the expression differences and prognostic value of ferroptosis-related genes (FRGs) in MM, and established a ferroptosis risk scoring model. In order to improve the prediction accuracy and clinical applicability, a nomogram was also established. Through gene enrichment analysis, pathways closely related to high-risk groups were identified. We then explored the differences in risk stratification in drug sensitivity and immune patterns, and evaluated their value in prognostic prediction and treatment response. Lastly, we gathered MM cell lines and samples from patients to confirm the expression of marker FRGs using quantitative real-time PCR (qRT-PCR). Results: The ability to predict the survival of MM patients is a challenging issue. Through the use of a risk model derived from ferroptosis, we were able to develop a more accurate prediction of the disease’s prognosis. They were then validated by a statistical analysis, which showed that the model is an independent factor in the prognosis of MM. Patients of high ferroptosis risk scores had a much worse chance of survival than those in the low-risk groups. The calibration and power of the nomogram were also strong. We noted that the link between the ferroptosis risk score and the clinical treatment was suggested by the FRG’s significant correlation with the immune checkpoint genes and the medication sensitivity. We validated the predictive model using qRT-PCR. Conclusion: We demonstrated the association between FRGs and MM, and developed a new risk model for prognosis in MM patients. Our study sheds light on the potential clinical relevance of ferroptosis in MM and highlights its potential as a therapeutic target for patients with this disease.
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spelling pubmed-104404372023-08-22 Comprehensive analysis of ferroptosis-related genes in immune infiltration and prognosis in multiple myeloma Wang, Quanqiang Zhao, Misheng Zhang, Tianyu Zhang, Bingxin Zheng, Ziwei Lin, Zhili Zhou, Shujuan Zheng, Dong Chen, Zixing Zheng, Sisi Zhang, Yu Lin, Xuanru Dong, Rujiao Chen, Jingjing Qian, Honglan Hu, Xudong Zhuang, Yan Zhang, Qianying Jiang, Songfu Ma, Yongyong Front Pharmacol Pharmacology Background: One particular type of cellular death that is known as ferroptosis is caused by the excessive lipid peroxidation. It is a regulated form of cell death that can affect the response of the tumor cells. Currently, it is not known if the presence of this condition can affect the prognosis of patients with multiple myeloma (MM). Methods: In this study, we studied the expression differences and prognostic value of ferroptosis-related genes (FRGs) in MM, and established a ferroptosis risk scoring model. In order to improve the prediction accuracy and clinical applicability, a nomogram was also established. Through gene enrichment analysis, pathways closely related to high-risk groups were identified. We then explored the differences in risk stratification in drug sensitivity and immune patterns, and evaluated their value in prognostic prediction and treatment response. Lastly, we gathered MM cell lines and samples from patients to confirm the expression of marker FRGs using quantitative real-time PCR (qRT-PCR). Results: The ability to predict the survival of MM patients is a challenging issue. Through the use of a risk model derived from ferroptosis, we were able to develop a more accurate prediction of the disease’s prognosis. They were then validated by a statistical analysis, which showed that the model is an independent factor in the prognosis of MM. Patients of high ferroptosis risk scores had a much worse chance of survival than those in the low-risk groups. The calibration and power of the nomogram were also strong. We noted that the link between the ferroptosis risk score and the clinical treatment was suggested by the FRG’s significant correlation with the immune checkpoint genes and the medication sensitivity. We validated the predictive model using qRT-PCR. Conclusion: We demonstrated the association between FRGs and MM, and developed a new risk model for prognosis in MM patients. Our study sheds light on the potential clinical relevance of ferroptosis in MM and highlights its potential as a therapeutic target for patients with this disease. Frontiers Media S.A. 2023-08-07 /pmc/articles/PMC10440437/ /pubmed/37608887 http://dx.doi.org/10.3389/fphar.2023.1203125 Text en Copyright © 2023 Wang, Zhao, Zhang, Zhang, Zheng, Lin, Zhou, Zheng, Chen, Zheng, Zhang, Lin, Dong, Chen, Qian, Hu, Zhuang, Zhang, Jiang and Ma. 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 Pharmacology
Wang, Quanqiang
Zhao, Misheng
Zhang, Tianyu
Zhang, Bingxin
Zheng, Ziwei
Lin, Zhili
Zhou, Shujuan
Zheng, Dong
Chen, Zixing
Zheng, Sisi
Zhang, Yu
Lin, Xuanru
Dong, Rujiao
Chen, Jingjing
Qian, Honglan
Hu, Xudong
Zhuang, Yan
Zhang, Qianying
Jiang, Songfu
Ma, Yongyong
Comprehensive analysis of ferroptosis-related genes in immune infiltration and prognosis in multiple myeloma
title Comprehensive analysis of ferroptosis-related genes in immune infiltration and prognosis in multiple myeloma
title_full Comprehensive analysis of ferroptosis-related genes in immune infiltration and prognosis in multiple myeloma
title_fullStr Comprehensive analysis of ferroptosis-related genes in immune infiltration and prognosis in multiple myeloma
title_full_unstemmed Comprehensive analysis of ferroptosis-related genes in immune infiltration and prognosis in multiple myeloma
title_short Comprehensive analysis of ferroptosis-related genes in immune infiltration and prognosis in multiple myeloma
title_sort comprehensive analysis of ferroptosis-related genes in immune infiltration and prognosis in multiple myeloma
topic Pharmacology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10440437/
https://www.ncbi.nlm.nih.gov/pubmed/37608887
http://dx.doi.org/10.3389/fphar.2023.1203125
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