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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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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. |
format | Online Article Text |
id | pubmed-9202593 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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