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Seven interferon gamma response genes serve as a prognostic risk signature that correlates with immune infiltration in lung adenocarcinoma
Interferon-gamma (IFN-γ) plays a complex role in modulating tumor microenvironment during lung adenocarcinoma (LUAD) development. In order to define the role of IFN-γ response genes in LUAD progression, we characterized the gene expression, mutation profile, protein-protein interaction of 24 IFN-γ r...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8109098/ https://www.ncbi.nlm.nih.gov/pubmed/33839701 http://dx.doi.org/10.18632/aging.202831 |
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author | Yao, Boyang Wang, Lixin Wang, Heyong Bao, Jinxia Li, Qiwen Yu, Fengzhi Zhu, Wenjing Zhang, Li Li, Wang Gu, Zhan Fei, Ke Zhang, Peng Zhang, Fan Huang, Xiaoying |
author_facet | Yao, Boyang Wang, Lixin Wang, Heyong Bao, Jinxia Li, Qiwen Yu, Fengzhi Zhu, Wenjing Zhang, Li Li, Wang Gu, Zhan Fei, Ke Zhang, Peng Zhang, Fan Huang, Xiaoying |
author_sort | Yao, Boyang |
collection | PubMed |
description | Interferon-gamma (IFN-γ) plays a complex role in modulating tumor microenvironment during lung adenocarcinoma (LUAD) development. In order to define the role of IFN-γ response genes in LUAD progression, we characterized the gene expression, mutation profile, protein-protein interaction of 24 IFN-γ response genes, which exhibited significant hazard ratio in overall survival. Two subgroups of LUAD from the TCGA cohort, which showed significant difference in the survival rate, were identified based on the expression of these genes. Furthermore, LASSO penalized cox regression model was used to derive a risk signature comprising seven IFN-γ response genes, including CD74, CSF2RB, PTPN6, MT2A, NMI, LATS2, and PFKP, which can serve as an independent prognostic predictor of LUAD. The risk signature was validated in an independent LUAD cohort. The high risk group is enriched with genes regulating cell cycle and DNA replication, as well as a high level of pro-tumor immune cells. In addition, the risk score is negatively correlated with the expression of immune metagenes, but positively correlated with DNA damage repair genes. Our findings reveal that seven-gene risk signature can be a valuable prognostic predictor for LUAD, and they are crucial participants in tumor microenvironment of LUAD. |
format | Online Article Text |
id | pubmed-8109098 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
spelling | pubmed-81090982021-05-12 Seven interferon gamma response genes serve as a prognostic risk signature that correlates with immune infiltration in lung adenocarcinoma Yao, Boyang Wang, Lixin Wang, Heyong Bao, Jinxia Li, Qiwen Yu, Fengzhi Zhu, Wenjing Zhang, Li Li, Wang Gu, Zhan Fei, Ke Zhang, Peng Zhang, Fan Huang, Xiaoying Aging (Albany NY) Research Paper Interferon-gamma (IFN-γ) plays a complex role in modulating tumor microenvironment during lung adenocarcinoma (LUAD) development. In order to define the role of IFN-γ response genes in LUAD progression, we characterized the gene expression, mutation profile, protein-protein interaction of 24 IFN-γ response genes, which exhibited significant hazard ratio in overall survival. Two subgroups of LUAD from the TCGA cohort, which showed significant difference in the survival rate, were identified based on the expression of these genes. Furthermore, LASSO penalized cox regression model was used to derive a risk signature comprising seven IFN-γ response genes, including CD74, CSF2RB, PTPN6, MT2A, NMI, LATS2, and PFKP, which can serve as an independent prognostic predictor of LUAD. The risk signature was validated in an independent LUAD cohort. The high risk group is enriched with genes regulating cell cycle and DNA replication, as well as a high level of pro-tumor immune cells. In addition, the risk score is negatively correlated with the expression of immune metagenes, but positively correlated with DNA damage repair genes. Our findings reveal that seven-gene risk signature can be a valuable prognostic predictor for LUAD, and they are crucial participants in tumor microenvironment of LUAD. Impact Journals 2021-04-04 /pmc/articles/PMC8109098/ /pubmed/33839701 http://dx.doi.org/10.18632/aging.202831 Text en Copyright: © 2021 Yao et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Yao, Boyang Wang, Lixin Wang, Heyong Bao, Jinxia Li, Qiwen Yu, Fengzhi Zhu, Wenjing Zhang, Li Li, Wang Gu, Zhan Fei, Ke Zhang, Peng Zhang, Fan Huang, Xiaoying Seven interferon gamma response genes serve as a prognostic risk signature that correlates with immune infiltration in lung adenocarcinoma |
title | Seven interferon gamma response genes serve as a prognostic risk signature that correlates with immune infiltration in lung adenocarcinoma |
title_full | Seven interferon gamma response genes serve as a prognostic risk signature that correlates with immune infiltration in lung adenocarcinoma |
title_fullStr | Seven interferon gamma response genes serve as a prognostic risk signature that correlates with immune infiltration in lung adenocarcinoma |
title_full_unstemmed | Seven interferon gamma response genes serve as a prognostic risk signature that correlates with immune infiltration in lung adenocarcinoma |
title_short | Seven interferon gamma response genes serve as a prognostic risk signature that correlates with immune infiltration in lung adenocarcinoma |
title_sort | seven interferon gamma response genes serve as a prognostic risk signature that correlates with immune infiltration in lung adenocarcinoma |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8109098/ https://www.ncbi.nlm.nih.gov/pubmed/33839701 http://dx.doi.org/10.18632/aging.202831 |
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