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Development and Verification of a Prognostic Ferroptosis-Related Gene Model in Triple-Negative Breast Cancer

Triple-negative breast cancer (TNBC) is the subtype with the worst prognosis of breast cancer. Ferroptosis, a novel iron-dependent programmed cell death, has an increasingly important role in tumorigenesis and development. However, there is still a lack of research on the relationship between ferrop...

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Autores principales: Wu, Song, Pan, Ruilin, Lu, Jibu, Wu, Xiaoling, Xie, Jingdong, Tang, Hailin, Li, Xing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9202593/
https://www.ncbi.nlm.nih.gov/pubmed/35719954
http://dx.doi.org/10.3389/fonc.2022.896927
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author Wu, Song
Pan, Ruilin
Lu, Jibu
Wu, Xiaoling
Xie, Jingdong
Tang, Hailin
Li, Xing
author_facet Wu, Song
Pan, Ruilin
Lu, Jibu
Wu, Xiaoling
Xie, Jingdong
Tang, Hailin
Li, Xing
author_sort Wu, Song
collection PubMed
description Triple-negative breast cancer (TNBC) is the subtype with the worst prognosis of breast cancer. Ferroptosis, a novel iron-dependent programmed cell death, has an increasingly important role in tumorigenesis and development. However, there is still a lack of research on the relationship between ferroptosis-related genes and the prognosis of TNBC. In this study, we obtained the gene expression profile of TNBC patients and matched clinical data from The Cancer Genome Atlas (TCGA) database. Univariate Cox analysis was used to screen out ferroptosis-related genes associated with TNBC prognosis. Then, the least absolute shrinkage and selection operator (LASSO) regression analysis was employed to establish a prognostic prediction model. A 15-ferroptosis-related gene prognostic prediction model was developed, which classified patients into low-risk (LR) or high-risk (HR) groups. Kaplan-Meier analysis results showed that the prognosis of the LR group was better. The receiver operating characteristic (ROC) curve also confirmed the satisfactory predictive ability of this model. Evaluation of the immune microenvironment of TNBC patients in the HR and LR group suggested these 15 ferroptosis-related genes might affect the prognosis of TNBC by regulating the tumor microenvironment. Our prognostic model can provide a theoretical basis for accurate prognosis prediction of TNBC in clinical practice.
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spelling pubmed-92025932022-06-17 Development and Verification of a Prognostic Ferroptosis-Related Gene Model in Triple-Negative Breast Cancer Wu, Song Pan, Ruilin Lu, Jibu Wu, Xiaoling Xie, Jingdong Tang, Hailin Li, Xing Front Oncol Oncology Triple-negative breast cancer (TNBC) is the subtype with the worst prognosis of breast cancer. Ferroptosis, a novel iron-dependent programmed cell death, has an increasingly important role in tumorigenesis and development. However, there is still a lack of research on the relationship between ferroptosis-related genes and the prognosis of TNBC. In this study, we obtained the gene expression profile of TNBC patients and matched clinical data from The Cancer Genome Atlas (TCGA) database. Univariate Cox analysis was used to screen out ferroptosis-related genes associated with TNBC prognosis. Then, the least absolute shrinkage and selection operator (LASSO) regression analysis was employed to establish a prognostic prediction model. A 15-ferroptosis-related gene prognostic prediction model was developed, which classified patients into low-risk (LR) or high-risk (HR) groups. Kaplan-Meier analysis results showed that the prognosis of the LR group was better. The receiver operating characteristic (ROC) curve also confirmed the satisfactory predictive ability of this model. Evaluation of the immune microenvironment of TNBC patients in the HR and LR group suggested these 15 ferroptosis-related genes might affect the prognosis of TNBC by regulating the tumor microenvironment. Our prognostic model can provide a theoretical basis for accurate prognosis prediction of TNBC in clinical practice. Frontiers Media S.A. 2022-06-02 /pmc/articles/PMC9202593/ /pubmed/35719954 http://dx.doi.org/10.3389/fonc.2022.896927 Text en Copyright © 2022 Wu, Pan, Lu, Wu, Xie, Tang and Li 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 Oncology
Wu, Song
Pan, Ruilin
Lu, Jibu
Wu, Xiaoling
Xie, Jingdong
Tang, Hailin
Li, Xing
Development and Verification of a Prognostic Ferroptosis-Related Gene Model in Triple-Negative Breast Cancer
title Development and Verification of a Prognostic Ferroptosis-Related Gene Model in Triple-Negative Breast Cancer
title_full Development and Verification of a Prognostic Ferroptosis-Related Gene Model in Triple-Negative Breast Cancer
title_fullStr Development and Verification of a Prognostic Ferroptosis-Related Gene Model in Triple-Negative Breast Cancer
title_full_unstemmed Development and Verification of a Prognostic Ferroptosis-Related Gene Model in Triple-Negative Breast Cancer
title_short Development and Verification of a Prognostic Ferroptosis-Related Gene Model in Triple-Negative Breast Cancer
title_sort development and verification of a prognostic ferroptosis-related gene model in triple-negative breast cancer
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9202593/
https://www.ncbi.nlm.nih.gov/pubmed/35719954
http://dx.doi.org/10.3389/fonc.2022.896927
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