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Comprehensive analysis of the basement membrane in lung adenocarcinoma by bulk and single-cell sequencing analysis
Background: The basement membrane (BM), as a critical component of the extracellular matrix, plays a role in cancer progression. However, the role of the BM in lung adenocarcinoma (LUAD) remains unclear. Methods: A total of 1383 patients from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibu...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Ivyspring International Publisher
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10266241/ https://www.ncbi.nlm.nih.gov/pubmed/37325048 http://dx.doi.org/10.7150/jca.83407 |
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author | Shi, Hanyu Sun, Liang Liu, Bin |
author_facet | Shi, Hanyu Sun, Liang Liu, Bin |
author_sort | Shi, Hanyu |
collection | PubMed |
description | Background: The basement membrane (BM), as a critical component of the extracellular matrix, plays a role in cancer progression. However, the role of the BM in lung adenocarcinoma (LUAD) remains unclear. Methods: A total of 1383 patients from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) cohorts were enrolled in the study, and BM-related differentially expressed genes (BM-DEGs) were screened using weighted gene coexpression network analysis (WGCNA) and differential expression analysis. We next built a prognostic model using Cox regression analysis and separated patients into two groups based on the median risk score. This signature was validated with in vitro experiments, and its mechanism was investigated by enrichment and tumour microenvironment analyses. We also evaluated whether this signature could predict sensitivity to chemotherapy and immunotherapy. Finally, single-cell RNA sequencing analysis was utilized to analyse the expression of signature genes in different cells. Results: Thirsty-seven BM-DEGs were discovered, and a prognostic signature based on 4 BM-DEGs (HMCN2, FBLN5, ADAMTS15 and LAD1) was obtained in the TCGA cohort and validated in GEO cohorts. Survival curves and ROC curve analysis demonstrated that the risk score was a significant predictor of survival in all cohorts even when considering the effect of other clinical indexes. Low-risk patients had longer survival times, higher immune cell infiltration levels and better immunotherapeutic responses. Single-cell analysis showed that FBLN5 and LAD1 were overexpressed in fibroblasts and cancer cells, respectively, compared to normal cells. Conclusion: This study evaluated the clinical role of the BM in LUAD and primarily explored its mechanism. |
format | Online Article Text |
id | pubmed-10266241 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Ivyspring International Publisher |
record_format | MEDLINE/PubMed |
spelling | pubmed-102662412023-06-15 Comprehensive analysis of the basement membrane in lung adenocarcinoma by bulk and single-cell sequencing analysis Shi, Hanyu Sun, Liang Liu, Bin J Cancer Research Paper Background: The basement membrane (BM), as a critical component of the extracellular matrix, plays a role in cancer progression. However, the role of the BM in lung adenocarcinoma (LUAD) remains unclear. Methods: A total of 1383 patients from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) cohorts were enrolled in the study, and BM-related differentially expressed genes (BM-DEGs) were screened using weighted gene coexpression network analysis (WGCNA) and differential expression analysis. We next built a prognostic model using Cox regression analysis and separated patients into two groups based on the median risk score. This signature was validated with in vitro experiments, and its mechanism was investigated by enrichment and tumour microenvironment analyses. We also evaluated whether this signature could predict sensitivity to chemotherapy and immunotherapy. Finally, single-cell RNA sequencing analysis was utilized to analyse the expression of signature genes in different cells. Results: Thirsty-seven BM-DEGs were discovered, and a prognostic signature based on 4 BM-DEGs (HMCN2, FBLN5, ADAMTS15 and LAD1) was obtained in the TCGA cohort and validated in GEO cohorts. Survival curves and ROC curve analysis demonstrated that the risk score was a significant predictor of survival in all cohorts even when considering the effect of other clinical indexes. Low-risk patients had longer survival times, higher immune cell infiltration levels and better immunotherapeutic responses. Single-cell analysis showed that FBLN5 and LAD1 were overexpressed in fibroblasts and cancer cells, respectively, compared to normal cells. Conclusion: This study evaluated the clinical role of the BM in LUAD and primarily explored its mechanism. Ivyspring International Publisher 2023-06-04 /pmc/articles/PMC10266241/ /pubmed/37325048 http://dx.doi.org/10.7150/jca.83407 Text en © The author(s) 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/). See http://ivyspring.com/terms for full terms and conditions. |
spellingShingle | Research Paper Shi, Hanyu Sun, Liang Liu, Bin Comprehensive analysis of the basement membrane in lung adenocarcinoma by bulk and single-cell sequencing analysis |
title | Comprehensive analysis of the basement membrane in lung adenocarcinoma by bulk and single-cell sequencing analysis |
title_full | Comprehensive analysis of the basement membrane in lung adenocarcinoma by bulk and single-cell sequencing analysis |
title_fullStr | Comprehensive analysis of the basement membrane in lung adenocarcinoma by bulk and single-cell sequencing analysis |
title_full_unstemmed | Comprehensive analysis of the basement membrane in lung adenocarcinoma by bulk and single-cell sequencing analysis |
title_short | Comprehensive analysis of the basement membrane in lung adenocarcinoma by bulk and single-cell sequencing analysis |
title_sort | comprehensive analysis of the basement membrane in lung adenocarcinoma by bulk and single-cell sequencing analysis |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10266241/ https://www.ncbi.nlm.nih.gov/pubmed/37325048 http://dx.doi.org/10.7150/jca.83407 |
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