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Identification of ATG7 as a Regulator of Proferroptosis and Oxidative Stress in Osteosarcoma
BACKGROUND: Ferroptosis has gained significant attention from oncologists as a vital outcome of oxidative stress. The aim of this study was to develop a prognostic signature that was based on the ferroptosis-related genes (FRGs) for osteosarcoma patients and explore their specific role in osteosarco...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9569205/ https://www.ncbi.nlm.nih.gov/pubmed/36254233 http://dx.doi.org/10.1155/2022/8441676 |
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author | Jiang, Runyi He, Shaohui Gong, Haiyi Wang, Yao Wei, Wei Chen, Jun Hu, Jinbo Ye, Chen LiuHuang, Shuchen Jin, Saiying Wei, Haifeng Xu, Wei Xiao, Jianru |
author_facet | Jiang, Runyi He, Shaohui Gong, Haiyi Wang, Yao Wei, Wei Chen, Jun Hu, Jinbo Ye, Chen LiuHuang, Shuchen Jin, Saiying Wei, Haifeng Xu, Wei Xiao, Jianru |
author_sort | Jiang, Runyi |
collection | PubMed |
description | BACKGROUND: Ferroptosis has gained significant attention from oncologists as a vital outcome of oxidative stress. The aim of this study was to develop a prognostic signature that was based on the ferroptosis-related genes (FRGs) for osteosarcoma patients and explore their specific role in osteosarcoma. METHODS: The training cohort dataset was extracted from the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) database. Different techniques like the univariate Cox regression, least absolute shrinkage and selection operator (LASSO) regression, multivariate Cox regression analyses, and the Kaplan-Meier (KM) survival analyses were utilized to develop a prognostic signature. Then, the intrinsic relationship between the developed gene signature and the infiltration levels of the immune cells was further investigated. An external validation dataset from the Gene Expression Omnibus (GEO) database was employed to assess the predictive ability of the developed gene signature. Subsequently, the specific function of potential FRG in affecting the oxidative stress reaction and ferroptosis of osteosarcoma cells was identified. RESULTS: A prognostic signature based on 5 FRGs (CBS, MUC1, ATG7, SOCS1, and PEBP1) was developed, and the patients were classified into the low- and high-risk groups (categories). High-risk patients displayed poor overall survival outcomes. The risk level was seen to be an independent risk factor for determining the prognosis of osteosarcoma patients (p < 0.001, hazard ratio: 7.457, 95% CI: 3.302-16.837). Additionally, the risk level was associated with immune function, which might affect the survival status of osteosarcoma patients. Moreover, the findings of the study indicated that the expression of ATG7 was related to the regulation of oxidative stress in osteosarcoma. Silencing the ATG7 gene promoted the proliferation and migration in osteosarcoma cells, suppressing the oxidative stress and ferroptosis process. CONCLUSIONS: A novel FRG signature was developed in this study to predict the prognosis of osteosarcoma patients. The results indicated that ATG7 might regulate the process of oxidative stress and ferroptosis in osteosarcoma cells and could be used as a potential target to develop therapeutic strategies for treating osteosarcoma. |
format | Online Article Text |
id | pubmed-9569205 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-95692052022-10-16 Identification of ATG7 as a Regulator of Proferroptosis and Oxidative Stress in Osteosarcoma Jiang, Runyi He, Shaohui Gong, Haiyi Wang, Yao Wei, Wei Chen, Jun Hu, Jinbo Ye, Chen LiuHuang, Shuchen Jin, Saiying Wei, Haifeng Xu, Wei Xiao, Jianru Oxid Med Cell Longev Research Article BACKGROUND: Ferroptosis has gained significant attention from oncologists as a vital outcome of oxidative stress. The aim of this study was to develop a prognostic signature that was based on the ferroptosis-related genes (FRGs) for osteosarcoma patients and explore their specific role in osteosarcoma. METHODS: The training cohort dataset was extracted from the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) database. Different techniques like the univariate Cox regression, least absolute shrinkage and selection operator (LASSO) regression, multivariate Cox regression analyses, and the Kaplan-Meier (KM) survival analyses were utilized to develop a prognostic signature. Then, the intrinsic relationship between the developed gene signature and the infiltration levels of the immune cells was further investigated. An external validation dataset from the Gene Expression Omnibus (GEO) database was employed to assess the predictive ability of the developed gene signature. Subsequently, the specific function of potential FRG in affecting the oxidative stress reaction and ferroptosis of osteosarcoma cells was identified. RESULTS: A prognostic signature based on 5 FRGs (CBS, MUC1, ATG7, SOCS1, and PEBP1) was developed, and the patients were classified into the low- and high-risk groups (categories). High-risk patients displayed poor overall survival outcomes. The risk level was seen to be an independent risk factor for determining the prognosis of osteosarcoma patients (p < 0.001, hazard ratio: 7.457, 95% CI: 3.302-16.837). Additionally, the risk level was associated with immune function, which might affect the survival status of osteosarcoma patients. Moreover, the findings of the study indicated that the expression of ATG7 was related to the regulation of oxidative stress in osteosarcoma. Silencing the ATG7 gene promoted the proliferation and migration in osteosarcoma cells, suppressing the oxidative stress and ferroptosis process. CONCLUSIONS: A novel FRG signature was developed in this study to predict the prognosis of osteosarcoma patients. The results indicated that ATG7 might regulate the process of oxidative stress and ferroptosis in osteosarcoma cells and could be used as a potential target to develop therapeutic strategies for treating osteosarcoma. Hindawi 2022-10-08 /pmc/articles/PMC9569205/ /pubmed/36254233 http://dx.doi.org/10.1155/2022/8441676 Text en Copyright © 2022 Runyi Jiang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Jiang, Runyi He, Shaohui Gong, Haiyi Wang, Yao Wei, Wei Chen, Jun Hu, Jinbo Ye, Chen LiuHuang, Shuchen Jin, Saiying Wei, Haifeng Xu, Wei Xiao, Jianru Identification of ATG7 as a Regulator of Proferroptosis and Oxidative Stress in Osteosarcoma |
title | Identification of ATG7 as a Regulator of Proferroptosis and Oxidative Stress in Osteosarcoma |
title_full | Identification of ATG7 as a Regulator of Proferroptosis and Oxidative Stress in Osteosarcoma |
title_fullStr | Identification of ATG7 as a Regulator of Proferroptosis and Oxidative Stress in Osteosarcoma |
title_full_unstemmed | Identification of ATG7 as a Regulator of Proferroptosis and Oxidative Stress in Osteosarcoma |
title_short | Identification of ATG7 as a Regulator of Proferroptosis and Oxidative Stress in Osteosarcoma |
title_sort | identification of atg7 as a regulator of proferroptosis and oxidative stress in osteosarcoma |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9569205/ https://www.ncbi.nlm.nih.gov/pubmed/36254233 http://dx.doi.org/10.1155/2022/8441676 |
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