Evidence mapPaperPMID 41916299Full record

ArticleCell reports methods2026

Biobank of genetically defined murine prostate cancer tumoroids uncovers oncogenic pathways and drug vulnerabilities driven by PTEN-loss.

Jessica Kalla, Thomas Dillinger, Zlata Pavlovicova, Reema Jacob, Emine Atas, Katarina Mišura, Anil Baskan, Kristina Draganić, Andreas Tiefenbacher, Tanja Limberger and 6 more

Abstract read
In one paragraph

Article in Cell reports methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

16 authors.

Jessica KallaDepartment of Pathology, Medical University of Vienna, Vienna, Vienna 1090, Austria.
Thomas DillingerLudwig Boltzmann Institute Applied Diagnostics, Vienna, Vienna 1090, Austria.
Zlata PavlovicovaLudwig Boltzmann Institute Applied Diagnostics, Vienna, Vienna 1090, Austria.
Reema JacobLudwig Boltzmann Institute Applied Diagnostics, Vienna, Vienna 1090, Austria.
Emine AtasDepartment of Pathology, Medical University of Vienna, Vienna, Vienna 1090, Austria; Christian Doppler Laboratory for Applied Metabolomics, Medical University of Vienna, Vienna, Vienna 1090, Austria.
Katarina MišuraDepartment of Pathology, Medical University of Vienna, Vienna, Vienna 1090, Austria.
Anil BaskanDepartment of Pathology, Medical University of Vienna, Vienna, Vienna 1090, Austria.
Kristina DraganićDepartment of Pathology, Medical University of Vienna, Vienna, Vienna 1090, Austria.
Andreas TiefenbacherDepartment of Pathology, Medical University of Vienna, Vienna, Vienna 1090, Austria.
Tanja LimbergerDepartment of Pathology, Medical University of Vienna, Vienna, Vienna 1090, Austria; Centre for Biomarker Research in Medicine GmbH (CBmed), Graz, Styria 8010, Austria.
Theresia MairDepartment of Pathology, Medical University of Vienna, Vienna, Vienna 1090, Austria.
Gabriel WasingerDepartment of Pathology, Medical University of Vienna, Vienna, Vienna 1090, Austria.
Ludovica VillantiCeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Vienna 1090, Austria.
Stefan KubicekCeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Vienna 1090, Austria.
Lukas KennerDepartment of Pathology, Medical University of Vienna, Vienna, Vienna 1090, Austria; Christian Doppler Laboratory for Applied Metabolomics, Medical University of Vienna, Vienna, Vienna 1090, Austria; Centre for Biomarker Research in Medicine GmbH (CBmed), Graz, Styria 8010, Austria; Unit of Laboratory Animal Pathology, University of Veterinary Medicine Vienna, Vienna, Vienna 1210, Austria; Comprehensive Cancer Center, Medical University of Vienna, Vienna, Vienna 1090, Austria; Department of Molecular Biology, Umeå University, 901 87 Umeå, Västerbottens, Sweden.
Gerda EggerDepartment of Pathology, Medical University of Vienna, Vienna, Vienna 1090, Austria; Ludwig Boltzmann Institute Applied Diagnostics, Vienna, Vienna 1090, Austria; Comprehensive Cancer Center, Medical University of Vienna, Vienna, Vienna 1090, Austria. Electronic address: gerda.egger@meduniwien.ac.at.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer (PCa) is the second most common cancer in men and shows high inter- and intra-patient heterogeneity. Consequently, treatment options are limited and there is a lack of representative preclinical models. Here, we establish a comprehensive biobank of murine organoids and tumoroids that reflect common patient mutations. We demonstrate that the deletion of Pten alone, or in combination with Stat3, or Tp53, drives the activation of cancer-related pathways in both prostate organoids and tumor-derived tumoroids. A medium-throughput drug screen identified two potent compounds, the PDPK1/AKT/FLT dual pathway inhibitor and the sirtuin inhibitor tenovin-6, which effectively suppressed tumoroid proliferation. Notably, these compounds also inhibited the growth of several human PCa cell lines and displayed synergistic effects when combined with the standard-of-care antiandrogen enzalutamide. Together, our findings provide evidence that murine tumoroids are versatile preclinical models for studying PCa tumorigenesis and drug sensitivities to develop therapeutic options for PCa patients.

Indexed as

CarcinogenesisProstatic NeoplasmsPTEN PhosphohydrolaseAnimalsAntineoplastic AgentsCell Line, TumorCell ProliferationHumansMaleMiceNitrilesOrganoidsSignal TransductionAntineoplastic AgentsNitrilesPTEN PhosphohydrolasePten protein, mouseCP: biotechnologyCP: molecular biologydrug screenmouse modelsorganoidsPDPK1/AKT/FLT dual pathway inhibitorPI3K/AKT signalingpreclinical modelsprostate cancertenovin-6tumoroids

Identifiers

PMID41916299
PMCPMC13106976

What Socratic holds

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Registered trials

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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 Socratic graph.