J Cancer 2023; 14(9):1635-1647. doi:10.7150/jca.83407 This issue Cite

Research Paper

Comprehensive analysis of the basement membrane in lung adenocarcinoma by bulk and single-cell sequencing analysis

Hanyu Shi1,2, Liang Sun2, Bin Liu2✉

1. Department of Internal Medicine, Hospital of the First Mobile Corps of the Chinese People's Armed Police Force, Dingzhou, Hebei, 073099, China.
2. Department of Pulmonary and Critical Care, Characteristic Medical Center of the Chinese People's Armed Police Force, Tianjin, 300162, China.

Citation:
Shi H, Sun L, Liu B. Comprehensive analysis of the basement membrane in lung adenocarcinoma by bulk and single-cell sequencing analysis. J Cancer 2023; 14(9):1635-1647. doi:10.7150/jca.83407. https://www.jcancer.org/v14p1635.htm
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Abstract

Graphic abstract

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.


Citation styles

APA
Shi, H., Sun, L., Liu, B. (2023). Comprehensive analysis of the basement membrane in lung adenocarcinoma by bulk and single-cell sequencing analysis. Journal of Cancer, 14(9), 1635-1647. https://doi.org/10.7150/jca.83407.

ACS
Shi, H.; Sun, L.; Liu, B. Comprehensive analysis of the basement membrane in lung adenocarcinoma by bulk and single-cell sequencing analysis. J. Cancer 2023, 14 (9), 1635-1647. DOI: 10.7150/jca.83407.

NLM
Shi H, Sun L, Liu B. Comprehensive analysis of the basement membrane in lung adenocarcinoma by bulk and single-cell sequencing analysis. J Cancer 2023; 14(9):1635-1647. doi:10.7150/jca.83407. https://www.jcancer.org/v14p1635.htm

CSE
Shi H, Sun L, Liu B. 2023. Comprehensive analysis of the basement membrane in lung adenocarcinoma by bulk and single-cell sequencing analysis. J Cancer. 14(9):1635-1647.

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