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Comprehensive Analysis of a Ferroptosis Pattern and Associated Prognostic Signature in Acute Myeloid Leukemia

Ferroptosis is a widespread form of programmed cell death. The environment of cancer cells makes them vulnerable to ferroptosis, including AML cells, yet the specific association between ferroptosis and AML outcome is little known. In this study, we utilized ferroptosis-related genes to distinguish...

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Autores principales: Cui, Zelong, Fu, Yue, Yang, Zongcheng, Gao, Zhenxing, Feng, Huimin, Zhou, Minran, Zhang, Lu, Chen, Chunyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9152364/
https://www.ncbi.nlm.nih.gov/pubmed/35656299
http://dx.doi.org/10.3389/fphar.2022.866325
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author Cui, Zelong
Fu, Yue
Yang, Zongcheng
Gao, Zhenxing
Feng, Huimin
Zhou, Minran
Zhang, Lu
Chen, Chunyan
author_facet Cui, Zelong
Fu, Yue
Yang, Zongcheng
Gao, Zhenxing
Feng, Huimin
Zhou, Minran
Zhang, Lu
Chen, Chunyan
author_sort Cui, Zelong
collection PubMed
description Ferroptosis is a widespread form of programmed cell death. The environment of cancer cells makes them vulnerable to ferroptosis, including AML cells, yet the specific association between ferroptosis and AML outcome is little known. In this study, we utilized ferroptosis-related genes to distinguish two subtypes in TCGA cohort, which were subsequently validated in independent AML cohorts. The subtypes were linked with tumor-related immunological abnormalities, mutation landscape and pathway dysregulation, and clinical outcome. Further, we developed a 13-gene prognostic model for AML from DEG analysis in the two subtypes. A risk score was calculated for each patient, and then the overall group was stratified into high- and low-risk groups; the higher risk score correlated with short survival. The model was validated in both independent AML cohorts and pan-cancer cohorts, which demonstrated robustness and extended the usage of the model. A nomogram was constructed that integrated risk score, FLT3-ITD, TP53, and RUNX1 mutations, and age. This model had the additional value of discriminating the sensitivity of several chemotherapeutic drugs and ferroptosis inducers in the two risk groups, which increased the translational value of this model as a potential tool in clinical management. Through integrated analysis of ferroptosis pattern and its related model, our work shed new light on the relationship between ferroptosis and AML, which may facilitate clinical application and therapeutics.
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spelling pubmed-91523642022-06-01 Comprehensive Analysis of a Ferroptosis Pattern and Associated Prognostic Signature in Acute Myeloid Leukemia Cui, Zelong Fu, Yue Yang, Zongcheng Gao, Zhenxing Feng, Huimin Zhou, Minran Zhang, Lu Chen, Chunyan Front Pharmacol Pharmacology Ferroptosis is a widespread form of programmed cell death. The environment of cancer cells makes them vulnerable to ferroptosis, including AML cells, yet the specific association between ferroptosis and AML outcome is little known. In this study, we utilized ferroptosis-related genes to distinguish two subtypes in TCGA cohort, which were subsequently validated in independent AML cohorts. The subtypes were linked with tumor-related immunological abnormalities, mutation landscape and pathway dysregulation, and clinical outcome. Further, we developed a 13-gene prognostic model for AML from DEG analysis in the two subtypes. A risk score was calculated for each patient, and then the overall group was stratified into high- and low-risk groups; the higher risk score correlated with short survival. The model was validated in both independent AML cohorts and pan-cancer cohorts, which demonstrated robustness and extended the usage of the model. A nomogram was constructed that integrated risk score, FLT3-ITD, TP53, and RUNX1 mutations, and age. This model had the additional value of discriminating the sensitivity of several chemotherapeutic drugs and ferroptosis inducers in the two risk groups, which increased the translational value of this model as a potential tool in clinical management. Through integrated analysis of ferroptosis pattern and its related model, our work shed new light on the relationship between ferroptosis and AML, which may facilitate clinical application and therapeutics. Frontiers Media S.A. 2022-05-17 /pmc/articles/PMC9152364/ /pubmed/35656299 http://dx.doi.org/10.3389/fphar.2022.866325 Text en Copyright © 2022 Cui, Fu, Yang, Gao, Feng, Zhou, 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 Pharmacology
Cui, Zelong
Fu, Yue
Yang, Zongcheng
Gao, Zhenxing
Feng, Huimin
Zhou, Minran
Zhang, Lu
Chen, Chunyan
Comprehensive Analysis of a Ferroptosis Pattern and Associated Prognostic Signature in Acute Myeloid Leukemia
title Comprehensive Analysis of a Ferroptosis Pattern and Associated Prognostic Signature in Acute Myeloid Leukemia
title_full Comprehensive Analysis of a Ferroptosis Pattern and Associated Prognostic Signature in Acute Myeloid Leukemia
title_fullStr Comprehensive Analysis of a Ferroptosis Pattern and Associated Prognostic Signature in Acute Myeloid Leukemia
title_full_unstemmed Comprehensive Analysis of a Ferroptosis Pattern and Associated Prognostic Signature in Acute Myeloid Leukemia
title_short Comprehensive Analysis of a Ferroptosis Pattern and Associated Prognostic Signature in Acute Myeloid Leukemia
title_sort comprehensive analysis of a ferroptosis pattern and associated prognostic signature in acute myeloid leukemia
topic Pharmacology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9152364/
https://www.ncbi.nlm.nih.gov/pubmed/35656299
http://dx.doi.org/10.3389/fphar.2022.866325
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