ArticleOncology research2025
Exploring the utility of a NGS multigene panel to predict BCG response in patients with non-muscle invasive bladder cancer.
Article in Oncology research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Molecular Classifications and Candidate Biomarkers for Personalizing BCG Therapy in Non-Muscle-Invasive Bladder Cancer.Biomedicines · 2026Review
- Bladder Cancer Biomarkers: Recent Advances in Early Detection, Treatment Prediction, and Prognosis.Oncology research · 2026Review
- Advances in the immunological microenvironment and immunotherapy of bladder cancer.Frontiers in immunology · 2025Review
- Biomarker-guided selection of intravesical therapy in high-risk non-muscle invasive bladder cancer: A contemporary review.Therapeutic advances in urologyReview
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: Intravesical Bacillus Calmette-Guérin (BCG) therapy is a gold standard for patients with high-risk non-muscle invasive bladder cancer (NMIBC). Although a long-lasting therapeutic response is observed in most patients, BCG failure occurs in 30%-50% of patients and a progression to muscle-invasive disease is found in 10%-15%. Therefore, predicting high-risk patients who might not benefit from BCG treatment is critical. The purpose of this study was to identify, whether the presence of specific oncogenic mutations might be indicative of BCG treatment response. Methods: Nineteen high-grade NMIBC patients who received intravesical BCG were retrospectively enrolled and divided into "responders" and "non-responders" groups. Tissue samples from transurethral resection of bladder cancer were performed before starting therapy and were examined using a multigene sequencing panel. Results: Mutations in TP53, FGFR3, PIK3CA, KRAS, CTNNB1, ALK and DDR2 genes were detected. TP53 and FGFR3 were found to be the most frequently mutated genes in our cohort (31.6% and 26.3%, respectively), followed by PIK3CA (15.8%). In the BCG-responsive patient group, 90% of samples were found to have mutated genes, with almost 50% of them showing mutations in tyrosine kinase receptors and CTNNB1 genes. On the other hand, in the BCG-unresponsive group, we found mutations in 44.4% of samples, mainly in TP53 gene. Conclusions: Our findings suggest that a Next-Generation Sequencing (NGS) multigene panel is useful in predicting BCG response in patients with NMIBC.
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