Evidence map›Paper›PMID 36694344›Full record

ArticleMolecular oncology2023

Preclinical patient-derived modeling of castration-resistant prostate cancer facilitates individualized assessment of homologous recombination repair deficient disease.

Mohamed E Elsesy, Su Jung Oh-Hohenhorst, Christoph Oing, Alicia Eckhardt, Susanne Burdak-Rothkamm, Malik Alawi, Christian Müller, Ulrich Schüller, Tobias Maurer, Gunhild von Amsberg and 3 more

Open access · goldAbstract read
In one paragraph

Article in Molecular oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

10 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Current issues in molecular biology · 2026
    Article
  4. Review
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  7. [Olaparib for high-risk biochemically recurrent prostate cancer following prostatectomy].Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2025
    Article
  8. Review
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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 at 3 institutions in 4 countries.

Mohamed E ElsesyDepartment of Radiotherapy and Radiooncology, University Medical Center Hamburg-Eppendorf, Germany.ORCID 0000-0002-9635-3008
Su Jung Oh-HohenhorstMartini-Klinik Prostate Cancer Center, University Medical Center Hamburg-Eppendorf, Germany.
Christoph OingDepartment of Radiotherapy and Radiooncology, University Medical Center Hamburg-Eppendorf, Germany.ORCID 0000-0001-5578-3418
Alicia EckhardtDepartment of Radiotherapy and Radiooncology, University Medical Center Hamburg-Eppendorf, Germany.
Susanne Burdak-RothkammDepartment of Radiotherapy and Radiooncology, University Medical Center Hamburg-Eppendorf, Germany.
Malik AlawiBioinformatics Core, University Medical Center Hamburg-Eppendorf, Germany.
Christian MüllerDepartment of Radiotherapy and Radiooncology, University Medical Center Hamburg-Eppendorf, Germany.
Ulrich SchüllerDepartment of Pediatric Hematology and Oncology, University Medical Center Hamburg-Eppendorf, Germany.ORCID 0000-0002-8731-1121
Tobias MaurerMartini-Klinik Prostate Cancer Center, University Medical Center Hamburg-Eppendorf, Germany.
Gunhild von AmsbergMartini-Klinik Prostate Cancer Center, University Medical Center Hamburg-Eppendorf, Germany.
Cordula PetersenDepartment of Radiotherapy and Radiooncology, University Medical Center Hamburg-Eppendorf, Germany.
Kai RothkammDepartment of Radiotherapy and Radiooncology, University Medical Center Hamburg-Eppendorf, Germany.
Wael Y MansourDepartment of Radiotherapy and Radiooncology, University Medical Center Hamburg-Eppendorf, Germany.ORCID 0000-0003-0641-2885
Universität Hamburg · DECairo University · EGUniversity of Liverpool · GB

Funding

Bundesministerium für Bildung und Forschung 02NUK032Bundesministerium für Bildung und Forschung 02NUK035BDeutscher Akademischer Austausch Dienst KairoMildred-Scheel Nachwuchszentrum, HATRIC4, Hamburg
6 · The paper itself

Abstract

The use of mutation analysis of homologous recombination repair (HRR) genes to estimate PARP-inhibition response may miss a larger proportion of responding patients. Here, we provide preclinical models for castration-resistant prostate cancer (CRPC) that can be used to functionally predict HRR defects. In vitro, CRPC LNCaP sublines revealed an HRR defect and enhanced sensitivity to olaparib and cisplatin due to impaired RAD51 expression and recruitment. Ex vivo-induced castration-resistant tumor slice cultures or tumor slice cultures derived directly from CRPC patients showed increased olaparib- or cisplatin-associated enhancement of residual radiation-induced γH2AX/53BP1 foci. We established patient-derived tumor organoids (PDOs) from CRPC patients. These PDOs are morphologically similar to their primary tumors and genetically clustered with prostate cancer but not with normal prostate or other tumor entities. Using these PDOs, we functionally confirmed the enhanced sensitivity of CRPC patients to olaparib and cisplatin. Moreover, olaparib but not cisplatin significantly decreased the migration rate in CRPC cells. Collectively, we present robust patient-derived preclinical models for CRPC that recapitulate the features of their primary tumors and enable individualized drug screening, allowing translation of treatment sensitivities into tailored clinical therapy recommendations.

Indexed as

Prostatic Neoplasms, Castration-ResistantCisplatinDNA RepairHumansMaleRecombinational DNA RepairCisplatincastration-resistant prostate cancerex vivo tumor cultureshomologous recombinationPARP inhibitionpatient-derived organoids

Identifiers

PMID36694344
PMCPMC10257417
OpenAlexW4317888223

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.