ArticleJournal of cancer research and clinical oncology2019
A three-gene methylation marker panel for the nodal metastatic risk assessment of muscle-invasive bladder cancer.
Article in Journal of cancer research and clinical oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 13 citations in OpenAlex.
- Research Progress of Liquid Biopsy Based on DNA Methylation in Tumor Diagnosis and Treatment.Biomolecules · 2024Review
- Contemporary Molecular Markers for Predicting Systemic Treatment Response in Urothelial Bladder Cancer: A Narrative Review.Cancers · 2024Review
- Metastasis suppressor genes in clinical practice: are they druggable?Cancer metastasis reviews · 2023Review
- Methylated Septin9 (mCancer research communications · 2022Article
- A novel prognostic biomarker for muscle invasive bladder urothelial carcinoma based on 11 DNA methylation signature.Cancer biology & therapy · 2020Article
- DNA methylation-based classification and identification of bladder cancer prognosis-associated subgroups.Cancer cell international · 2020Article
- Promoter methylation of SEPT9 as a potential biomarker for early detection of cervical cancer and its overexpression predicts radioresistance.Clinical epigenetics · 2019Article
- Epigenetics of Bladder Cancer: Where Biomarkers and Therapeutic Targets Meet.Frontiers in genetics · 2019Review
- Evaluation of gene expression-based predictors of lymph node metastasis in bladder cancer.Bladder cancer (Amsterdam, Netherlands)Article
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Authors and funding
15 authors at 7 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeIn this study, we aimed to identify a DNA methylation pattern suitable for prognosis assessment of muscle-invasive bladder cancer and to investigate metastasis-associated processes regulated by DNA methylation.
methodsGenome-wide methylation analysis was performed on 23 muscle-invasive bladder tumors by microarray analysis. Validation was performed by the qAMP technique in two different patient cohorts (n = 32 and n = 100). mRNA expression was analyzed in 12 samples. Protein expression was determined using tissue microarrays of 291 patients. Bladder cancer cell lines T24 and 253JB-V were used for functional analyses.
resultsMicroarray analyses revealed KISS1R, SEPT9 and CSAD as putative biomarkers with hypermethylation in node-positive tumors. The combination of the three genes predicted the metastatic risk with sensitivity of 73% and specificity of 71% in cohort 1, and sensitivity of 82% and specificity of 54% in cohort 2. mRNA expression differences were detected for KISS1R (p = 0.04). Protein expression of KISS1R was significantly reduced (p < 0.001). Knockdown of SEPT9v3 resulted in increased cell migration by 28% (p = 0.04) and increased invasion by 22% (p = 0.004). KISS1R overexpression resulted in decreased cell migration (25%, p = 0.1).
conclusionsWe identified a methylation marker panel suitable to differentiate between patients with positive and negative lymph nodes at time of cystectomy. This enables a risk assessment for patients who potentially benefit from extended lymph node resection as well as from neoadjuvant chemotherapy and could improve the survival rates. Furthermore, we examined the impact of putative markers on tumor behavior. Hence, KISS1R and SEPT9 could represent a starting point for the development of novel therapy approaches.
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