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SULF1作为特发性肺纤维化与肺腺癌共同基因的鉴定及其生物学功能分析
Background and objective Idiopathic pulmonary fibrosis (IPF) is an idiopathic chronic, progressive interstitial lung disease with a diagnosed median survival of 3-5 years. IPF is associated with an increased risk of lung cancer. Therefore, exploring the shared pathogenic genes and molecular pathways...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Editorial board of Chinese Journal of Lung Cancer
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10600753/ https://www.ncbi.nlm.nih.gov/pubmed/37985153 http://dx.doi.org/10.3779/j.issn.1009-3419.2023.101.25 |
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author | WANG, Junyi LU, Lu HE, Xiang MA, Lijuan CHEN, Tao LI, Guoping YU, Haijie |
author_facet | WANG, Junyi LU, Lu HE, Xiang MA, Lijuan CHEN, Tao LI, Guoping YU, Haijie |
author_sort | WANG, Junyi |
collection | PubMed |
description | Background and objective Idiopathic pulmonary fibrosis (IPF) is an idiopathic chronic, progressive interstitial lung disease with a diagnosed median survival of 3-5 years. IPF is associated with an increased risk of lung cancer. Therefore, exploring the shared pathogenic genes and molecular pathways between IPF and lung adenocarcinoma (LUAD) holds significant importance for the development of novel therapeutic approaches and personalized precision treatment strategies for IPF combined with lung cancer. Methods Bioinformatics analysis was conducted using publicly available gene expression datasets of IPF and LUAD from the Gene Expression Omnibus (GEO) database. Weighted gene co-expression network analysis was employed to identify common genes involved in the progression of both diseases, followed by functional enrichment analysis. Subsequently, additional datasets were used to pinpoint the core shared genes between the two diseases. The relationship between core shared genes and prognosis, as well as their expression patterns, clinical relevance, genetic characteristics, and immune-related functions in LUAD, were analyzed using The Cancer Genome Atlas (TCGA) database and single-cell RNA sequencing datasets. Finally, potential therapeutic drugs related to the identified genes were screened through drug databases. Results A total of 529 shared genes between IPF and LUAD were identified. Among them, SULF1 emerged as a core shared gene associated with poor prognosis. It exhibited significantly elevated expression levels in LUAD tissues, concomitant with high mutation rates, genomic heterogeneity, and an immunosuppressive microenvironment. Subsequent single-cell RNA-seq analysis revealed that the high expression of SULF1 primarily originated from tumor-associated fibroblasts. This study further demonstrated an association between SULF1 expression and tumor drug sensitivity, and it identified potential small-molecule drugs targeting SULF1 highly expressed fibroblasts. Conclusions This study identified a set of shared molecular pathways and core genes between IPF and LUAD. Notably, SULF1 may serve as a potential immune-related biomarker and therapeutic target for both diseases. |
format | Online Article Text |
id | pubmed-10600753 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Editorial board of Chinese Journal of Lung Cancer |
record_format | MEDLINE/PubMed |
spelling | pubmed-106007532023-10-27 SULF1作为特发性肺纤维化与肺腺癌共同基因的鉴定及其生物学功能分析 WANG, Junyi LU, Lu HE, Xiang MA, Lijuan CHEN, Tao LI, Guoping YU, Haijie Zhongguo Fei Ai Za Zhi Clinical Research Background and objective Idiopathic pulmonary fibrosis (IPF) is an idiopathic chronic, progressive interstitial lung disease with a diagnosed median survival of 3-5 years. IPF is associated with an increased risk of lung cancer. Therefore, exploring the shared pathogenic genes and molecular pathways between IPF and lung adenocarcinoma (LUAD) holds significant importance for the development of novel therapeutic approaches and personalized precision treatment strategies for IPF combined with lung cancer. Methods Bioinformatics analysis was conducted using publicly available gene expression datasets of IPF and LUAD from the Gene Expression Omnibus (GEO) database. Weighted gene co-expression network analysis was employed to identify common genes involved in the progression of both diseases, followed by functional enrichment analysis. Subsequently, additional datasets were used to pinpoint the core shared genes between the two diseases. The relationship between core shared genes and prognosis, as well as their expression patterns, clinical relevance, genetic characteristics, and immune-related functions in LUAD, were analyzed using The Cancer Genome Atlas (TCGA) database and single-cell RNA sequencing datasets. Finally, potential therapeutic drugs related to the identified genes were screened through drug databases. Results A total of 529 shared genes between IPF and LUAD were identified. Among them, SULF1 emerged as a core shared gene associated with poor prognosis. It exhibited significantly elevated expression levels in LUAD tissues, concomitant with high mutation rates, genomic heterogeneity, and an immunosuppressive microenvironment. Subsequent single-cell RNA-seq analysis revealed that the high expression of SULF1 primarily originated from tumor-associated fibroblasts. This study further demonstrated an association between SULF1 expression and tumor drug sensitivity, and it identified potential small-molecule drugs targeting SULF1 highly expressed fibroblasts. Conclusions This study identified a set of shared molecular pathways and core genes between IPF and LUAD. Notably, SULF1 may serve as a potential immune-related biomarker and therapeutic target for both diseases. Editorial board of Chinese Journal of Lung Cancer 2023-09-20 /pmc/articles/PMC10600753/ /pubmed/37985153 http://dx.doi.org/10.3779/j.issn.1009-3419.2023.101.25 Text en 版权所有 © 2023《中国肺癌杂志》编辑部 https://creativecommons.org/licenses/by/3.0/This is an open access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 3.0) License. See: https://creativecommons.org/licenses/by/3.0/. |
spellingShingle | Clinical Research WANG, Junyi LU, Lu HE, Xiang MA, Lijuan CHEN, Tao LI, Guoping YU, Haijie SULF1作为特发性肺纤维化与肺腺癌共同基因的鉴定及其生物学功能分析 |
title | SULF1作为特发性肺纤维化与肺腺癌共同基因的鉴定及其生物学功能分析 |
title_full | SULF1作为特发性肺纤维化与肺腺癌共同基因的鉴定及其生物学功能分析 |
title_fullStr | SULF1作为特发性肺纤维化与肺腺癌共同基因的鉴定及其生物学功能分析 |
title_full_unstemmed | SULF1作为特发性肺纤维化与肺腺癌共同基因的鉴定及其生物学功能分析 |
title_short | SULF1作为特发性肺纤维化与肺腺癌共同基因的鉴定及其生物学功能分析 |
title_sort | sulf1作为特发性肺纤维化与肺腺癌共同基因的鉴定及其生物学功能分析 |
topic | Clinical Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10600753/ https://www.ncbi.nlm.nih.gov/pubmed/37985153 http://dx.doi.org/10.3779/j.issn.1009-3419.2023.101.25 |
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