Evidence map›Paper›PMID 42450347›Full record

ArticleInternational journal of molecular sciences2026

Bioprinted Bladder Cancer Organoids Model System for Prediction of Chemotherapy Response and Drug Screening.

Randall G Bissette, Zachary Congress, Gemma Nomdedeu-Sancho, Nadeem Wajih, Krishnaiah Maddeboina, Shay Soker

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Randall G BissetteWake Forest Institute for Regenerative Medicine, Wake Forest University School of Medicine, Winston-Salem, NC 27101, USA.ORCID 0000-0003-2334-8926
Zachary CongressWake Forest Institute for Regenerative Medicine, Wake Forest University School of Medicine, Winston-Salem, NC 27101, USA.
Gemma Nomdedeu-SanchoWake Forest Institute for Regenerative Medicine, Wake Forest University School of Medicine, Winston-Salem, NC 27101, USA.
Nadeem WajihWake Forest Institute for Regenerative Medicine, Wake Forest University School of Medicine, Winston-Salem, NC 27101, USA.ORCID 0009-0003-6917-3487
Krishnaiah MaddeboinaAtrium Health Levine Cancer Center, Charlotte, NC 28204, USA.
Shay SokerWake Forest Institute for Regenerative Medicine, Wake Forest University School of Medicine, Winston-Salem, NC 27101, USA.

Funding

Wake Forest Baptist Medical Center
6 · The paper itself

Abstract

Bladder cancer is the fifth most common cancer in the United States, causing approximately 17,000 deaths annually. Due to its vast genetic and molecular heterogeneity, presentation, prognosis, and therapeutic response vary greatly between individuals. To improve patient outcomes, there is a need for better drug-screening platforms. The genetic heterogeneity of bladder cancer often leads to chemotherapy resistance or low response rates. Moreover, chemotherapies are often contraindicated in patients with select comorbidities. Organoids offer a better option to replicate the tumor microenvironment than traditional 2D cell cultures, improving drug development and personalized therapy. In this study, we bioprinted gelatin-methacrylol (GelMA)-based organoids containing bladder cancer cell lines of different grades to model muscle-invasive bladder cancer. In the organoids, we observed distinct grade-dependent tumor proliferation and progression dynamics. Treatment with standard-of-care chemotherapies revealed a grade-dependent tumor response consistent with in vivo patient data, highlighting the suitability of these organoids for rapid, reliable drug testing. Lastly, we used the organoids to test LCI139, a novel small-molecule inhibitor of PI3K, CDK4/6, and CDK9 designed for the treatment of epithelial cancers, underscoring the potential of our model to evaluate the efficacy of newly developed drugs. The ability to quickly biofabricate reproducible bladder cancer organoids that are adaptable to different tumor grades represents a novel strategy to create an in vitro platform with strong potential to predict treatment outcomes of bladder cancer patients.

Indexed as

Antineoplastic AgentsBioprintingOrganoidsUrinary Bladder NeoplasmsCell Line, TumorCell ProliferationDrug Screening Assays, AntitumorHumansTumor MicroenvironmentAntineoplastic Agentsbladder cancerCDK inhibitordrug testingorganoidssmall molecule inhibitor

Identifiers

PMID42450347
PMCPMC13361066

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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.