ArticleFrontiers in immunology2022
A prognostic and therapeutic hallmark developed by the integrated profile of basement membrane and immune infiltrative landscape in lung adenocarcinoma.
Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 10 citations in OpenAlex.
- Identification of Basement Membrane-Related Biomarkers in the Progression of Cutaneous Squamous Cell Carcinoma.International journal of molecular sciences · 2026Article
- Identification of SUMOylation modifiers involved in lung adenocarcinoma progression and Osimertinib resistance by integrated bioinformatics analysis.Scientific reports · 2025Article
- Development and validation of a basement membrane-associated immune prognostic model for hepatocellular carcinoma.Translational gastroenterology and hepatology · 2025Article
- Bioinformatics analysis of an immunotherapy responsiveness-related gene signature in predicting lung adenocarcinoma prognosis.Translational lung cancer research · 2024Article
- Screening of hub inflammatory bowel disease biomarkers and identification of immune-related functions based on basement membrane genes.European journal of medical research · 2023Article
- Comprehensive analysis of the basement membrane in lung adenocarcinoma by bulk and single-cell sequencing analysis.Journal of Cancer · 2023Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
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Abstract
Basement membranes (BMs) are specialised extracellular matrices that maintain cellular integrity and resist the breaching of carcinoma cells for metastases while regulating tumour immunity. The tumour immune microenvironment (TME) is essential for tumour growth and the response to and benefits from immunotherapy. In this study, the BM score and TME score were constructed based on the expression signatures of BM-related genes and the presence of immune cells in lung adenocarcinoma (LUAD), respectively. Subsequently, the BM-TME classifier was developed with the combination of BM score and TME score for accurate prognostic prediction. Further, Kaplan-Meier survival estimation, univariate Cox regression analysis and receiver operating characteristic curves were used to cross-validate and elucidate the prognostic prediction value of the BM-TME classifier in several cohorts. Findings from functional annotation analysis suggested that the potential molecular regulatory mechanisms of the BM-TME classifier were closely related to the cell cycle, mitosis and DNA replication pathways. Additionally, the guiding value of the treatment strategy of the BM-TME classifier for LUAD was determined. Future clinical disease management may benefit from the findings of our research.
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