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A ferroptosis-related gene signature and immune infiltration patterns predict the overall survival in acute myeloid leukemia patients
Targeted therapy for acute myeloid leukemia (AML) is an effective strategy, but currently, there are very limited therapeutic targets for AML treatment. Ferroptosis is strongly related to drug resistance and carcinogenesis. However, there are few reports about ferroptosis in AML. This article explor...
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/PMC9421034/ https://www.ncbi.nlm.nih.gov/pubmed/36046602 http://dx.doi.org/10.3389/fmolb.2022.959738 |
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author | Yin, Zhao Li, Fang Zhou, Qinjun Zhu, Jianfang Liu, Zhi Huang, Jing Shen, Huijuan Ou, Ruiming Zhu, Yangmin Zhang, Qing Liu, Shuang |
author_facet | Yin, Zhao Li, Fang Zhou, Qinjun Zhu, Jianfang Liu, Zhi Huang, Jing Shen, Huijuan Ou, Ruiming Zhu, Yangmin Zhang, Qing Liu, Shuang |
author_sort | Yin, Zhao |
collection | PubMed |
description | Targeted therapy for acute myeloid leukemia (AML) is an effective strategy, but currently, there are very limited therapeutic targets for AML treatment. Ferroptosis is strongly related to drug resistance and carcinogenesis. However, there are few reports about ferroptosis in AML. This article explores the relationship between ferroptosis-related gene (FRG) expression and prognosis in AML patients from the FerrDb and the Cancer Genome Atlas (TCGA) databases. The ferroptosis-related gene ARNTL was observed to have high expression and poor prognosis in AML. Receiver operating characteristic curve (ROC) analysis revealed the predictive accuracy of the signature. The area under the time-dependent ROC curve (AUC) was 0.533 at one year, 0.619 at two years, and 0.622 at three years within the training cohort. Moreover, we found that the ARNTL expression is closely associated with tumor-infiltrating immune cells like the macrophages and NK cells. Inhibiting the ARNTL expression suppressed colony formation and induced ferroptosis in AML cells. Overall, the survival prediction model constructed based on ARNTL accurately predicted the survival in AML patients, which could be a potential candidate for diagnosing and treating AML. |
format | Online Article Text |
id | pubmed-9421034 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94210342022-08-30 A ferroptosis-related gene signature and immune infiltration patterns predict the overall survival in acute myeloid leukemia patients Yin, Zhao Li, Fang Zhou, Qinjun Zhu, Jianfang Liu, Zhi Huang, Jing Shen, Huijuan Ou, Ruiming Zhu, Yangmin Zhang, Qing Liu, Shuang Front Mol Biosci Molecular Biosciences Targeted therapy for acute myeloid leukemia (AML) is an effective strategy, but currently, there are very limited therapeutic targets for AML treatment. Ferroptosis is strongly related to drug resistance and carcinogenesis. However, there are few reports about ferroptosis in AML. This article explores the relationship between ferroptosis-related gene (FRG) expression and prognosis in AML patients from the FerrDb and the Cancer Genome Atlas (TCGA) databases. The ferroptosis-related gene ARNTL was observed to have high expression and poor prognosis in AML. Receiver operating characteristic curve (ROC) analysis revealed the predictive accuracy of the signature. The area under the time-dependent ROC curve (AUC) was 0.533 at one year, 0.619 at two years, and 0.622 at three years within the training cohort. Moreover, we found that the ARNTL expression is closely associated with tumor-infiltrating immune cells like the macrophages and NK cells. Inhibiting the ARNTL expression suppressed colony formation and induced ferroptosis in AML cells. Overall, the survival prediction model constructed based on ARNTL accurately predicted the survival in AML patients, which could be a potential candidate for diagnosing and treating AML. Frontiers Media S.A. 2022-08-15 /pmc/articles/PMC9421034/ /pubmed/36046602 http://dx.doi.org/10.3389/fmolb.2022.959738 Text en Copyright © 2022 Yin, Li, Zhou, Zhu, Liu, Huang, Shen, Ou, Zhu, Zhang and Liu. 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 | Molecular Biosciences Yin, Zhao Li, Fang Zhou, Qinjun Zhu, Jianfang Liu, Zhi Huang, Jing Shen, Huijuan Ou, Ruiming Zhu, Yangmin Zhang, Qing Liu, Shuang A ferroptosis-related gene signature and immune infiltration patterns predict the overall survival in acute myeloid leukemia patients |
title | A ferroptosis-related gene signature and immune infiltration patterns predict the overall survival in acute myeloid leukemia patients |
title_full | A ferroptosis-related gene signature and immune infiltration patterns predict the overall survival in acute myeloid leukemia patients |
title_fullStr | A ferroptosis-related gene signature and immune infiltration patterns predict the overall survival in acute myeloid leukemia patients |
title_full_unstemmed | A ferroptosis-related gene signature and immune infiltration patterns predict the overall survival in acute myeloid leukemia patients |
title_short | A ferroptosis-related gene signature and immune infiltration patterns predict the overall survival in acute myeloid leukemia patients |
title_sort | ferroptosis-related gene signature and immune infiltration patterns predict the overall survival in acute myeloid leukemia patients |
topic | Molecular Biosciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9421034/ https://www.ncbi.nlm.nih.gov/pubmed/36046602 http://dx.doi.org/10.3389/fmolb.2022.959738 |
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