ArticleFrontiers in oncology2022
Prognostic significance and identification of basement membrane-associated lncRNA in bladder cancer.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 18 citations in OpenAlex.
- Construction of an eight-basement membrane related gene signature for predicting prognosis and immune response in hepatocellular carcinoma.Discover oncology · 2025Article
- The Duality of Collagens in Metastases of Solid Tumors.International journal of molecular sciences · 2025Review
- Comprehensive analysis of basement membrane-related genes showed that NELL2 is a new therapeutic target for colorectal cancer.Discover oncology · 2025Article
- Development and validation of a basement membrane-associated immune prognostic model for hepatocellular carcinoma.Translational gastroenterology and hepatology · 2025Article
- Development and validation of a machine learning model to predict the risk of lymph node metastasis in early-stage supraglottic laryngeal cancer.Frontiers in oncology · 2025Article
- Integrative genomics unveils basement membrane-related diagnostic markers and therapeutic targets in esophageal squamous cell carcinoma.Biology direct · 2024Article
- Basement membrane-related lncRNA signature for the prognosis of hepatocellular carcinoma.Heliyon · 2024Article
- Integration of basement membrane-related genes in a risk signature for prognosis in clear cell renal cell carcinoma.Scientific reports · 2024Article
- Development of a prognostic signature for immune-associated genes in bladder cancer and exploring potential drug findings.International urology and nephrology · 2024Article
- Prognosis prediction of head and neck squamous cell carcinoma through the basement membrane-related lncRNA risk model.Frontiers in molecular biosciences · 2024Article
- Silencing LINC00663 inhibits inflammation and angiogenesis through downregulation of NR2F1 via EBF1 in bladder cancer.RNA biology · 2024Article
- Identification of cuproptosis-related lncRNAs to predict prognosis and immune infiltration characteristics in alimentary tract malignancies.BMC bioinformatics · 2023Article
- Review
- Bioinformatics-based analysis of the roles of basement membrane-related gene AGRN in systemic lupus erythematosus and pan-cancer development.Frontiers in immunology · 2023Article
- Novel Implication of the Basement Membrane for Breast Cancer Outcome and Immune Infiltration.International journal of biological sciences · 2023Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Based on the importance of basement membrane (BM) in cancer invasion and metastasis, we constructed a BM-associated lncRNA risk model to group bladder cancer (BCa) patients. Transcriptional and clinical data of BCa patients were downloaded from The Cancer Genome Atlas (TCGA), and the expressed genes of BM-related proteins were obtained from the BM-BASE database. We download the GSE133624 chip data from the GEO database as an external validation dataset. We screened for statistically different BM genes between tumors and adjacent normal tissues. Co-expression analysis of lncRNAs and differentially expressed BM genes was performed to identify BM-related lncRNAs. Then, differentially expressed BM-related lncRNAs (DEBMlncRNAs) between tumor and normal tissues were identified. Univariate/multivariate Cox regression analysis was performed to select lncRNAs for risk assessment. LASSO analysis was performed to build a prognostic model. We constructed a model containing 8 DEBMlncRNAs (AC004034.1, AL662797.1, NR2F1-AS1, SETBP1-DT, AC011503.2, AC093010.2, LINC00649 and LINC02321). The prognostic risk model accurately predicted the prognosis of BCa patients and revealed that tumor aggressiveness and distant metastasis were associated with higher risk scores. In this model, we constructed a nomogram to assist clinical decision-making based on clinicopathological characteristics such as age, T, and N. The model also showed good predictive power for the tumor microenvironment and mutational burden. We validated the expression of eight lncRNAs using the dataset GSE133624 and two human bladder cancer cell lines (5637, BIU-87) and examined the expression and cellular localization of LINC00649 and AC011503.2 using a human bladder cancer tissue chip. We found that knockdown of LINC00649 expression in 5637 cells promoted the proliferation of 5637 cells.Our eight DEBMlncRNA risk models provide new insights into predicting prognosis, tumor invasion, and metastasis in BCa patients.
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