Evidence map›Paper›PMID 36766850›Full record

ArticleCells2023

Novel Zebrafish Patient-Derived Tumor Xenograft Methodology for Evaluating Efficacy of Immune-Stimulating BCG Therapy in Urinary Bladder Cancer.

Saskia Kowald, Ylva Huge, Decky Tandiono, Zaheer Ali, Gabriela Vazquez-Rodriguez, Anna Erkstam, Anna Fahlgren, Amir Sherif, Yihai Cao, Lasse D Jensen

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Zebrafish as a Model for Translational Immuno-Oncology.Journal of personalized medicine · 2025
    Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Bacteria associated with glioma: a next wave in cancer treatment.Frontiers in cellular and infection microbiology · 2023
    Review
  12. Article
  13. A zebrafish colorectal xenograft model for chemotherapy response.Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologie
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Saskia KowaldDepartment of Health, Medicine and Care, Division of Diagnostics and Specialist Medicine, Linköping University, SE-58185 Linköping, Sweden.ORCID 0000-0002-7652-4551
Ylva HugeDepartment of Biomedical and Clinical Sciences, Division of Urology, Linköping University, SE-58185 Linköping, Sweden.
Decky TandionoBioReperia AB, SE-58213 Linköping, Sweden.
Zaheer AliBioReperia AB, SE-58213 Linköping, Sweden.ORCID 0000-0002-6505-3096
Gabriela Vazquez-RodriguezBioReperia AB, SE-58213 Linköping, Sweden.ORCID 0000-0001-9310-2433
Anna ErkstamBioReperia AB, SE-58213 Linköping, Sweden.
Anna FahlgrenBioReperia AB, SE-58213 Linköping, Sweden.
Amir SherifDepartment of Biomedical and Clinical Sciences, Division of Urology, Linköping University, SE-58185 Linköping, Sweden.ORCID 0000-0002-3675-3050
Yihai CaoDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institute, SE-17165 Stockholm, Sweden.
Lasse D JensenDepartment of Health, Medicine and Care, Division of Diagnostics and Specialist Medicine, Linköping University, SE-58185 Linköping, Sweden.ORCID 0000-0003-2338-357X
Linköping University · SEKarolinska Institutet · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Urinary Bladder NeoplasmsZebrafishAnimalsBCG VaccineHeterograftsHumansNeoplasm Recurrence, LocalBCG VaccineBCGcancerimmune-oncologyPDXpersonalized medicinexenograftzebrafish

Identifiers

PMID36766850
PMCPMC9914090
OpenAlexW4319316685

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.