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The hypoxia-associated genes in immune infiltration and treatment options of lung adenocarcinoma
BACKGROUND: Lung adenocarcinoma (LUAD) is a common lung cancer with a poor prognosis under standard chemotherapy. Hypoxia is a crucial factor in the development of solid tumors, and hypoxia-related genes (HRGs) are closely associated with the proliferation of LUAD cells. METHODS: In this study, LUAD...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10414028/ https://www.ncbi.nlm.nih.gov/pubmed/37576511 http://dx.doi.org/10.7717/peerj.15621 |
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author | Liu, Liu Han, Lina Dong, Lei He, Zihao Gao, Kai Chen, Xu Guo, Jin-Cheng Zhao, Yi |
author_facet | Liu, Liu Han, Lina Dong, Lei He, Zihao Gao, Kai Chen, Xu Guo, Jin-Cheng Zhao, Yi |
author_sort | Liu, Liu |
collection | PubMed |
description | BACKGROUND: Lung adenocarcinoma (LUAD) is a common lung cancer with a poor prognosis under standard chemotherapy. Hypoxia is a crucial factor in the development of solid tumors, and hypoxia-related genes (HRGs) are closely associated with the proliferation of LUAD cells. METHODS: In this study, LUAD HRGs were screened, and bioinformatics analysis and experimental validation were conducted. The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases were used to gather LUAD RNA-seq data and accompanying clinical information. LUAD subtypes were identified by unsupervised cluster analysis, and immune infiltration analysis of subtypes was conducted by GSVA and ssGSEA. Cox regression and LASSO regression analyses were used to obtain prognosis-related HRGs. Prognostic analysis was used to evaluate HRGs. Differences in enrichment pathways and immunotherapy were observed between risk groups based on GSEA and the TIDE method. Finally, RT-PCR and in vitro experiments were used to confirm prognosis-related HRG expression in LUAD cells. RESULTS: Two hypoxia-associated subtypes of LUAD were distinguished, demonstrating significant differences in prognostic analysis and immunological characteristics between subtypes. A prognostic model based on six HRGs (HK1, PDK3, PFKL, SLC2A1, STC1, and XPNPEP1) was developed for LUAD. HK1, SLC2A1, STC1, and XPNPEP1 were found to be risk factors for LUAD. PDK3 and PFKL were protective factors in LUAD patients. CONCLUSION: This study demonstrates the effect of hypoxia-associated genes on immune infiltration in LUAD and provides options for immunotherapy and therapeutic strategies in LUAD. |
format | Online Article Text |
id | pubmed-10414028 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-104140282023-08-11 The hypoxia-associated genes in immune infiltration and treatment options of lung adenocarcinoma Liu, Liu Han, Lina Dong, Lei He, Zihao Gao, Kai Chen, Xu Guo, Jin-Cheng Zhao, Yi PeerJ Bioinformatics BACKGROUND: Lung adenocarcinoma (LUAD) is a common lung cancer with a poor prognosis under standard chemotherapy. Hypoxia is a crucial factor in the development of solid tumors, and hypoxia-related genes (HRGs) are closely associated with the proliferation of LUAD cells. METHODS: In this study, LUAD HRGs were screened, and bioinformatics analysis and experimental validation were conducted. The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases were used to gather LUAD RNA-seq data and accompanying clinical information. LUAD subtypes were identified by unsupervised cluster analysis, and immune infiltration analysis of subtypes was conducted by GSVA and ssGSEA. Cox regression and LASSO regression analyses were used to obtain prognosis-related HRGs. Prognostic analysis was used to evaluate HRGs. Differences in enrichment pathways and immunotherapy were observed between risk groups based on GSEA and the TIDE method. Finally, RT-PCR and in vitro experiments were used to confirm prognosis-related HRG expression in LUAD cells. RESULTS: Two hypoxia-associated subtypes of LUAD were distinguished, demonstrating significant differences in prognostic analysis and immunological characteristics between subtypes. A prognostic model based on six HRGs (HK1, PDK3, PFKL, SLC2A1, STC1, and XPNPEP1) was developed for LUAD. HK1, SLC2A1, STC1, and XPNPEP1 were found to be risk factors for LUAD. PDK3 and PFKL were protective factors in LUAD patients. CONCLUSION: This study demonstrates the effect of hypoxia-associated genes on immune infiltration in LUAD and provides options for immunotherapy and therapeutic strategies in LUAD. PeerJ Inc. 2023-08-07 /pmc/articles/PMC10414028/ /pubmed/37576511 http://dx.doi.org/10.7717/peerj.15621 Text en ©2023 Liu et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Bioinformatics Liu, Liu Han, Lina Dong, Lei He, Zihao Gao, Kai Chen, Xu Guo, Jin-Cheng Zhao, Yi The hypoxia-associated genes in immune infiltration and treatment options of lung adenocarcinoma |
title | The hypoxia-associated genes in immune infiltration and treatment options of lung adenocarcinoma |
title_full | The hypoxia-associated genes in immune infiltration and treatment options of lung adenocarcinoma |
title_fullStr | The hypoxia-associated genes in immune infiltration and treatment options of lung adenocarcinoma |
title_full_unstemmed | The hypoxia-associated genes in immune infiltration and treatment options of lung adenocarcinoma |
title_short | The hypoxia-associated genes in immune infiltration and treatment options of lung adenocarcinoma |
title_sort | hypoxia-associated genes in immune infiltration and treatment options of lung adenocarcinoma |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10414028/ https://www.ncbi.nlm.nih.gov/pubmed/37576511 http://dx.doi.org/10.7717/peerj.15621 |
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