Evidence map›Paper›PMID 33602919›Full record

ArticleNature communications2021

Patient-derived xenografts and organoids model therapy response in prostate cancer.

Sofia Karkampouna, Federico La Manna, Andrej Benjak, Mirjam Kiener, Marta De Menna, Eugenio Zoni, Joël Grosjean, Irena Klima, Andrea Garofoli, Marco Bolis and 16 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
106citing papers in PubMed, 2 pooled it
16.6field-weighted citation impact, top 1% 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

106 citing papers in PubMed, 2 syntheses or guidelines pooled it, 148 citations in OpenAlex.

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46 more citing papers are in PubMed but not listed here.

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

26 authors at 8 institutions in 5 countries.

Sofia Karkampouna *Department for BioMedical Research, Urology Research Laboratory, University of Bern, Bern, Switzerland.ORCID 0000-0002-1716-5237
Federico La Manna *Department for BioMedical Research, Urology Research Laboratory, University of Bern, Bern, Switzerland.ORCID 0000-0003-3644-8395
Andrej BenjakDepartment for BioMedical Research, Oncogenomics Laboratory, University of Bern, Bern, Switzerland.
Mirjam KienerDepartment for BioMedical Research, Urology Research Laboratory, University of Bern, Bern, Switzerland.
Marta De MennaDepartment for BioMedical Research, Urology Research Laboratory, University of Bern, Bern, Switzerland.
Eugenio ZoniDepartment for BioMedical Research, Urology Research Laboratory, University of Bern, Bern, Switzerland.
Joël GrosjeanDepartment for BioMedical Research, Urology Research Laboratory, University of Bern, Bern, Switzerland.
Irena KlimaDepartment for BioMedical Research, Urology Research Laboratory, University of Bern, Bern, Switzerland.
Andrea GarofoliInstitute of Pathology, University Hospital Basel, University of Basel, Basel, Switzerland.
Marco BolisInstitute of Oncology Research, Università della Svizzera italiana, Bellinzona, Switzerland.
Arianna VallergaInstitute of Oncology Research, Università della Svizzera italiana, Bellinzona, Switzerland.
Jean-Philippe TheurillatInstitute of Oncology Research, Università della Svizzera italiana, Bellinzona, Switzerland.
Maria R De FilippoDepartment for BioMedical Research, Urology Research Laboratory, University of Bern, Bern, Switzerland.
Vera GenitschInstitute of Pathology, University of Bern, Bern, Switzerland.
David KellerNEXUS Personalized Health Technologies, ETH Zurich, Zurich, Switzerland.
Tijmen H BooijNEXUS Personalized Health Technologies, ETH Zurich, Zurich, Switzerland.ORCID 0000-0002-7478-4704
Christian U StirnimannNEXUS Personalized Health Technologies, ETH Zurich, Zurich, Switzerland.
Kenneth EngDepartment of Physiology and Biophysics, Institute for Precision Medicine and Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, USA.
Andrea SbonerDepartment of Pathology and Laboratory Medicine, Institute for Computational Biomedicine, Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, USA.
Charlotte K Y NgDepartment for BioMedical Research, Oncogenomics Laboratory, University of Bern, Bern, Switzerland.ORCID 0000-0002-6100-0026
Salvatore PiscuoglioInstitute of Pathology, University Hospital Basel, University of Basel, Basel, Switzerland.ORCID 0000-0003-2686-2939
Peter C GrayThe Salk Institute for Biological Studies, La Jolla, CA 92037, USA.
Martin SpahnLindenhofspital, Bern, Switzerland.
Mark A RubinDepartment for BioMedical Research, Precision Oncology Laboratory, University of Bern, Bern, Switzerland.ORCID 0000-0002-8321-9950
George N ThalmannDepartment for BioMedical Research, Urology Research Laboratory, University of Bern, Bern, Switzerland.
Marianna Kruithof-de JulioDepartment for BioMedical Research, Urology Research Laboratory, University of Bern, Bern, Switzerland. marianna.kruithofdejulio@dbmr.unibe.ch.ORCID 0000-0002-6085-7706
University of Bern · CHETH Zurich · CHCornell University · USSIB Swiss Institute of Bioinformatics · CHUniversity of Basel · CHInstitute of Oncology Research · CHLindenhofspital · CHSalk Institute for Biological Studies · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Therapy resistance and metastatic processes in prostate cancer (PCa) remain undefined, due to lack of experimental models that mimic different disease stages. We describe an androgen-dependent PCa patient-derived xenograft (PDX) model from treatment-naïve, soft tissue metastasis (PNPCa). RNA and whole-exome sequencing of the PDX tissue and organoids confirmed transcriptomic and genomic similarity to primary tumor. PNPCa harbors BRCA2 and CHD1 somatic mutations, shows an SPOP/FOXA1-like transcriptomic signature and microsatellite instability, which occurs in 3% of advanced PCa and has never been modeled in vivo. Comparison of the treatment-naïve PNPCa with additional metastatic PDXs (BM18, LAPC9), in a medium-throughput organoid screen of FDA-approved compounds, revealed differential drug sensitivities. Multikinase inhibitors (ponatinib, sunitinib, sorafenib) were broadly effective on all PDX- and patient-derived organoids from advanced cases with acquired resistance to standard-of-care compounds. This proof-of-principle study may provide a preclinical tool to screen drug responses to standard-of-care and newly identified, repurposed compounds.

Indexed as

Models, BiologicalXenograft Model Antitumor AssaysAndrogensAntineoplastic AgentsGenome, HumanHumansMaleMutationNeoplasm MetastasisOrganoidsProstatic NeoplasmsTranscriptomeAndrogensAntineoplastic Agents

Identifiers

PMID33602919
PMCPMC7892572
OpenAlexW3131787684

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.