ArticleCells2023
Novel Zebrafish Patient-Derived Tumor Xenograft Methodology for Evaluating Efficacy of Immune-Stimulating BCG Therapy in Urinary Bladder Cancer.
Article in Cells, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- Zebrafish tumor xenograft models for drug-screening: a systematic review of methods for treatment assessment.Journal of translational medicine · 2026Pooled it
- Zebrafish swimming towards cures: a scalable NAM platform for drug discovery.Drug discovery today · 2026Review
- Zebrafish Xenograft Model for Predicting Cisplatin Efficacy in Muscle-Invasive Bladder Cancer.Cancer science · 2025Article
- Mechanisms, Clinical Trials, and New Treatments for BCG-Unresponsive in Nonmuscle Invasive Bladder Cancer.Cancer medicine · 2025Review
- Zebrafish as a Model for Translational Immuno-Oncology.Journal of personalized medicine · 2025Review
- Narrative Review of Patient Cancer Tissue-Derived Zebrafish Xenograft Models for Evaluating Drug Sensitivity as an Avatar Model for Clinical Application.Cancer medicine · 2025Review
- Automated microinjection for zebrafish xenograft models.npj biomedical innovations · 2025Article
- A novel approach to engineering three-dimensional bladder tumor models for drug testing.Scientific reports · 2024Article
- Macrophages directly kill bladder cancer cells through TNF signaling as an early response to BCG therapy.Disease models & mechanisms · 2024Article
- Zebrafish tumour xenograft models: a prognostic approach to epithelial ovarian cancer.NPJ precision oncology · 2024Article
- Bacteria associated with glioma: a next wave in cancer treatment.Frontiers in cellular and infection microbiology · 2023Review
- Design of an artificial natural killer cell mimicking system to target tumour cells.Journal of tissue engineeringArticle
- A zebrafish colorectal xenograft model for chemotherapy response.Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologieArticle
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBacillus Calmette-Guérin (BCG) immunotherapy is the standard-of-care adjuvant therapy for non-muscle-invasive bladder cancer in patients at considerable risk of disease recurrence. Although its exact mechanism of action is unknown, BCG significantly reduces this risk in responding patients but is mainly associated with toxic side-effects in those facing treatment resistance. Methods that allow the identification of BCG responders are, therefore, urgently needed.
methodsFluorescently labelled UM-UC-3 cells and dissociated patient tumor samples were used to establish zebrafish tumor xenograft (ZTX) models. Changes in the relative primary tumor size and cell dissemination to the tail were evaluated via fluorescence microscopy at three days post-implantation. The data were compared to the treatment outcomes of the corresponding patients. Toxicity was evaluated based on gross morphological evaluation of the treated zebrafish larvae.
resultsBCG-induced toxicity was avoided by removing the water-soluble fraction of the BCG formulation prior to use. BCG treatment via co-injection with the tumor cells resulted in significant and dose-dependent primary tumor size regression. Heat-inactivation of BCG decreased this effect, while intravenous BCG injections were ineffective. ZTX models were successfully established for six of six patients based on TUR-B biopsies. In two of these models, significant tumor regression was observed, which, in both cases, corresponded to the treatment response in the patients.
conclusionsThe observed BCG-related anti-tumor effect indicates that ZTX models might predict the BCG response and thereby improve treatment planning. More experiments and clinical studies are needed, however, to elucidate the BCG mechanism and estimate the predictive value.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.