Evidence map›Paper›PMID 42135441›Full record

ArticleCommunications medicine2026

Ex vivo drug screening and clustering of bladder cancers for pre-clinical treatment prediction.

S Conroy, H Gagg, L A Quayle, J A Adams, S T Williams, T Helleday, S A Hussain, J Griffin, R Allen, J K Rantala and 3 more

Abstract read
In one paragraph

Article in Communications medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

13 authors.

S ConroyDepartment of Urology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.ORCID http://orcid.org/0000-0001-7167-4908
H GaggDivision of Clinical Medicine, School of Medicine & Population Health, University of Sheffield, Sheffield, UK.
L A QuayleDivision of Clinical Medicine, School of Medicine & Population Health, University of Sheffield, Sheffield, UK.ORCID http://orcid.org/0000-0002-6394-4186
J A AdamsDivision of Clinical Medicine, School of Medicine & Population Health, University of Sheffield, Sheffield, UK.
S T WilliamsDivision of Clinical Medicine, School of Medicine & Population Health, University of Sheffield, Sheffield, UK.
T HelledayDivision of Clinical Medicine, School of Medicine & Population Health, University of Sheffield, Sheffield, UK.
S A HussainDivision of Clinical Medicine, School of Medicine & Population Health, University of Sheffield, Sheffield, UK.ORCID http://orcid.org/0000-0003-1552-511X
J GriffinDivision of Clinical Medicine, School of Medicine & Population Health, University of Sheffield, Sheffield, UK.ORCID http://orcid.org/0000-0003-3969-7637
R AllenDivision of Clinical Medicine, School of Medicine & Population Health, University of Sheffield, Sheffield, UK.
J K RantalaDivision of Clinical Medicine, School of Medicine & Population Health, University of Sheffield, Sheffield, UK.ORCID http://orcid.org/0000-0002-4999-5585
S J DansonDivision of Clinical Medicine, School of Medicine & Population Health, University of Sheffield, Sheffield, UK. s.danson@sheffield.ac.uk.ORCID http://orcid.org/0000-0002-3593-2890
Jwf CattoDepartment of Urology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK. j.catto@sheffield.ac.uk.
G WellsDivision of Clinical Medicine, School of Medicine & Population Health, University of Sheffield, Sheffield, UK. g.wells@sheffield.ac.uk.ORCID http://orcid.org/0000-0002-1337-9836

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundBladder cancer (BC) is the tenth most common cancer and the ninth leading cause of cancer death worldwide. BC has high rates of treatment failure, so alternate approaches are needed to personalise treatments to individual patients in order to improve outcomes from this disease. One method that could provide actionable results to influence clinical decisions on alternative treatments is ex vivo drug screening.

methodsWe explored the feasibility of using ex vivo drug screening directly on patient tumour tissue from transurethral resection of the bladder tumours (TURBT) and cystectomies. We screened 38 BC patients investigating drug sensitivities to 15 agents, including standard of care treatments and some more exploratory compounds. In addition, we investigated ex vivo sensitivity and resistance over the 15 compounds and annotated common mutational profiles. We saw high methodological success (41/54 samples, 75.9%), in clinically useful timeframes (4 days) and identified distinct drug and tumour clusters.

resultsHere, we show that drug resistance is associated with aggressive clinical features, mutation burden, and differs with individual gene mutations. Cross-resistance between agents is common. Cisplatin-resistant tumours differ by mutational profiles and include those with multi-drug resistance and those sensitive to alternative agents. Observed clinical responses match our ex vivo response (5/6 patients, 83.3%). Proliferative responses are observed to some receptor tyrosine kinase inhibitors, cautioning against their unselected widespread use.

conclusionsEx vivo drug screening identifies drug clusters of patients' tumours that could potentially respond to standard of care and alternative therapies. Our approach offers a platform to potentially individualise treatments, especially in drug-resistant tumours.

Identifiers

PMID42135441
PMCPMC13408482

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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.