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Comprehensive Analysis of Immune-Related Metabolic Genes in Lung Adenocarcinoma
PURPOSE: The immunotherapy of lung adenocarcinoma (LUAD) has received much attention in recent years and metabolic reprogramming is linked to immune infiltration in the tumor microenvironment. Therefore, it is indispensable to dissect the role of immune-related metabolic genes in lung adenocarcinoma...
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/PMC9309246/ https://www.ncbi.nlm.nih.gov/pubmed/35898471 http://dx.doi.org/10.3389/fendo.2022.894754 |
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author | Li, Fangfang Huang, Chun Qiu, Lingxiao Li, Ping Shi, Jiang Zhang, Guojun |
author_facet | Li, Fangfang Huang, Chun Qiu, Lingxiao Li, Ping Shi, Jiang Zhang, Guojun |
author_sort | Li, Fangfang |
collection | PubMed |
description | PURPOSE: The immunotherapy of lung adenocarcinoma (LUAD) has received much attention in recent years and metabolic reprogramming is linked to immune infiltration in the tumor microenvironment. Therefore, it is indispensable to dissect the role of immune-related metabolic genes in lung adenocarcinoma. METHODS: In this study, we screened immune-related genes by Pearson correlation. The function of these genes was explored by gene ontology (GO) and KEGG (Kyoto Encyclopedia of Genes and Genomes) enrichment analysis. The differently expressed immune-related genes were analyzed by Limma. Furthermore, the LUAD patients were clustered based on immune-related genes through consensus clustering. The Unicox was used to identify survival-immune-related metabolic genes. The Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis was used to optimize the gene sets. A prediction model was constructed and tested. The potential therapeutic target was selected based on two criteria, these immune-related metabolic genes that were highly expressed in tumor tissues and negatively correlated with the survival of patients in LUAD. Quantitative real‐time PCR (qRT‐PCR) was used for in vitro experimental validations. RESULTS: We identified 346 immune-related genes, mainly involved in arachidonic acid metabolism and peroxisome proliferator-activated receptor (PPAR) signaling. Moreover, a total of 141 immune-related genes were dysregulated between tumor and normal tissues. We clustered three subtypes of LUAD based on immune-related metabolic genes and these subtypes exhibited different survival and immune status. We found Ribonucleotide Reductase Regulatory Subunit M2 (RRM2) as a potential therapeutic target, which is positively correlated with the cyclin-dependent kinase family of genes. CONCLUSION: We comprehensively analyzed the immune-related metabolic genes in LUAD. RRM2 was determined as a promising metabolic checkpoint for lung adenocarcinoma. |
format | Online Article Text |
id | pubmed-9309246 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93092462022-07-26 Comprehensive Analysis of Immune-Related Metabolic Genes in Lung Adenocarcinoma Li, Fangfang Huang, Chun Qiu, Lingxiao Li, Ping Shi, Jiang Zhang, Guojun Front Endocrinol (Lausanne) Endocrinology PURPOSE: The immunotherapy of lung adenocarcinoma (LUAD) has received much attention in recent years and metabolic reprogramming is linked to immune infiltration in the tumor microenvironment. Therefore, it is indispensable to dissect the role of immune-related metabolic genes in lung adenocarcinoma. METHODS: In this study, we screened immune-related genes by Pearson correlation. The function of these genes was explored by gene ontology (GO) and KEGG (Kyoto Encyclopedia of Genes and Genomes) enrichment analysis. The differently expressed immune-related genes were analyzed by Limma. Furthermore, the LUAD patients were clustered based on immune-related genes through consensus clustering. The Unicox was used to identify survival-immune-related metabolic genes. The Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis was used to optimize the gene sets. A prediction model was constructed and tested. The potential therapeutic target was selected based on two criteria, these immune-related metabolic genes that were highly expressed in tumor tissues and negatively correlated with the survival of patients in LUAD. Quantitative real‐time PCR (qRT‐PCR) was used for in vitro experimental validations. RESULTS: We identified 346 immune-related genes, mainly involved in arachidonic acid metabolism and peroxisome proliferator-activated receptor (PPAR) signaling. Moreover, a total of 141 immune-related genes were dysregulated between tumor and normal tissues. We clustered three subtypes of LUAD based on immune-related metabolic genes and these subtypes exhibited different survival and immune status. We found Ribonucleotide Reductase Regulatory Subunit M2 (RRM2) as a potential therapeutic target, which is positively correlated with the cyclin-dependent kinase family of genes. CONCLUSION: We comprehensively analyzed the immune-related metabolic genes in LUAD. RRM2 was determined as a promising metabolic checkpoint for lung adenocarcinoma. Frontiers Media S.A. 2022-07-08 /pmc/articles/PMC9309246/ /pubmed/35898471 http://dx.doi.org/10.3389/fendo.2022.894754 Text en Copyright © 2022 Li, Huang, Qiu, Li, Shi and Zhang 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 | Endocrinology Li, Fangfang Huang, Chun Qiu, Lingxiao Li, Ping Shi, Jiang Zhang, Guojun Comprehensive Analysis of Immune-Related Metabolic Genes in Lung Adenocarcinoma |
title | Comprehensive Analysis of Immune-Related Metabolic Genes in Lung Adenocarcinoma |
title_full | Comprehensive Analysis of Immune-Related Metabolic Genes in Lung Adenocarcinoma |
title_fullStr | Comprehensive Analysis of Immune-Related Metabolic Genes in Lung Adenocarcinoma |
title_full_unstemmed | Comprehensive Analysis of Immune-Related Metabolic Genes in Lung Adenocarcinoma |
title_short | Comprehensive Analysis of Immune-Related Metabolic Genes in Lung Adenocarcinoma |
title_sort | comprehensive analysis of immune-related metabolic genes in lung adenocarcinoma |
topic | Endocrinology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9309246/ https://www.ncbi.nlm.nih.gov/pubmed/35898471 http://dx.doi.org/10.3389/fendo.2022.894754 |
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