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Exploration of the shared genes and signaling pathways between lung adenocarcinoma and idiopathic pulmonary fibrosis

BACKGROUND: Idiopathic pulmonary fibrosis (IPF), a type of interstitial lung disease (ILD), is a chronic disease with an unknown etiology. The occurrence of lung cancer (LC) is one of the main causes of death in patients with IPF. However, the pathogenesis driving these malignant transformations rem...

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Autores principales: Li, Houqiang, Wang, Wenmiao, Huang, Zhanghao, Zhang, Peng, Liu, Lei, Sha, Xinyu, Wang, Silin, Zhou, You Lang, Shi, Jiahai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10323588/
https://www.ncbi.nlm.nih.gov/pubmed/37426132
http://dx.doi.org/10.21037/jtd-22-1522
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author Li, Houqiang
Wang, Wenmiao
Huang, Zhanghao
Zhang, Peng
Liu, Lei
Sha, Xinyu
Wang, Silin
Zhou, You Lang
Shi, Jiahai
author_facet Li, Houqiang
Wang, Wenmiao
Huang, Zhanghao
Zhang, Peng
Liu, Lei
Sha, Xinyu
Wang, Silin
Zhou, You Lang
Shi, Jiahai
author_sort Li, Houqiang
collection PubMed
description BACKGROUND: Idiopathic pulmonary fibrosis (IPF), a type of interstitial lung disease (ILD), is a chronic disease with an unknown etiology. The occurrence of lung cancer (LC) is one of the main causes of death in patients with IPF. However, the pathogenesis driving these malignant transformations remains unclear; therefore, this study aimed to identify the shared genes and functional pathways associated with both disease conditions. METHODS: Data were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. To identify overlapping genes in both diseases, the “limma” package in R software and weighted gene coexpression network analysis (WGCNA) were used. Venn diagrams were used to obtain the shared genes. The diagnostic value of the shared genes was assessed using receiver operating characteristic (ROC) curve analysis. Gene Ontology (GO) term enrichment was performed on the shared genes between lung adenocarcinoma (LUAD) and IPF, and the genes were also functionally enriched using Metascape. A protein-protein interaction (PPI) network was created using the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database. Finally, the link between shared genes and common antineoplastic medicines was investigated using the CellMiner database. RESULTS: The coexpression modules associated with LUAD and IPF were discovered using WGCNA, and 148 genes were found to overlap. In addition, 74 upregulated and 130 downregulated overlapping genes were obtained via differential gene analysis. Functional analysis of the genes revealed that these genes are primarily engaged in extracellular matrix (ECM) pathways. Furthermore, COL1A2, POSTN, COL5A1, CXCL13, CYP24A1, CXCL14, and BMP2 were identified as potential biomarkers in patients with LUAD secondary to IPF showing good diagnostic values. CONCLUSIONS: ECM-related mechanisms may be the underlying link between LC and IPF. A total of 7 shared genes were identified as potential diagnostic markers and therapeutic targets for LUAD and IPF.
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spelling pubmed-103235882023-07-07 Exploration of the shared genes and signaling pathways between lung adenocarcinoma and idiopathic pulmonary fibrosis Li, Houqiang Wang, Wenmiao Huang, Zhanghao Zhang, Peng Liu, Lei Sha, Xinyu Wang, Silin Zhou, You Lang Shi, Jiahai J Thorac Dis Original Article BACKGROUND: Idiopathic pulmonary fibrosis (IPF), a type of interstitial lung disease (ILD), is a chronic disease with an unknown etiology. The occurrence of lung cancer (LC) is one of the main causes of death in patients with IPF. However, the pathogenesis driving these malignant transformations remains unclear; therefore, this study aimed to identify the shared genes and functional pathways associated with both disease conditions. METHODS: Data were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. To identify overlapping genes in both diseases, the “limma” package in R software and weighted gene coexpression network analysis (WGCNA) were used. Venn diagrams were used to obtain the shared genes. The diagnostic value of the shared genes was assessed using receiver operating characteristic (ROC) curve analysis. Gene Ontology (GO) term enrichment was performed on the shared genes between lung adenocarcinoma (LUAD) and IPF, and the genes were also functionally enriched using Metascape. A protein-protein interaction (PPI) network was created using the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database. Finally, the link between shared genes and common antineoplastic medicines was investigated using the CellMiner database. RESULTS: The coexpression modules associated with LUAD and IPF were discovered using WGCNA, and 148 genes were found to overlap. In addition, 74 upregulated and 130 downregulated overlapping genes were obtained via differential gene analysis. Functional analysis of the genes revealed that these genes are primarily engaged in extracellular matrix (ECM) pathways. Furthermore, COL1A2, POSTN, COL5A1, CXCL13, CYP24A1, CXCL14, and BMP2 were identified as potential biomarkers in patients with LUAD secondary to IPF showing good diagnostic values. CONCLUSIONS: ECM-related mechanisms may be the underlying link between LC and IPF. A total of 7 shared genes were identified as potential diagnostic markers and therapeutic targets for LUAD and IPF. AME Publishing Company 2023-05-09 2023-06-30 /pmc/articles/PMC10323588/ /pubmed/37426132 http://dx.doi.org/10.21037/jtd-22-1522 Text en 2023 Journal of Thoracic Disease. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Li, Houqiang
Wang, Wenmiao
Huang, Zhanghao
Zhang, Peng
Liu, Lei
Sha, Xinyu
Wang, Silin
Zhou, You Lang
Shi, Jiahai
Exploration of the shared genes and signaling pathways between lung adenocarcinoma and idiopathic pulmonary fibrosis
title Exploration of the shared genes and signaling pathways between lung adenocarcinoma and idiopathic pulmonary fibrosis
title_full Exploration of the shared genes and signaling pathways between lung adenocarcinoma and idiopathic pulmonary fibrosis
title_fullStr Exploration of the shared genes and signaling pathways between lung adenocarcinoma and idiopathic pulmonary fibrosis
title_full_unstemmed Exploration of the shared genes and signaling pathways between lung adenocarcinoma and idiopathic pulmonary fibrosis
title_short Exploration of the shared genes and signaling pathways between lung adenocarcinoma and idiopathic pulmonary fibrosis
title_sort exploration of the shared genes and signaling pathways between lung adenocarcinoma and idiopathic pulmonary fibrosis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10323588/
https://www.ncbi.nlm.nih.gov/pubmed/37426132
http://dx.doi.org/10.21037/jtd-22-1522
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