Evidence map›Paper›PMID 30520109›Full record

ArticleThe Prostate2019

Ex vivo treatment of prostate tumor tissue recapitulates in vivo therapy response.

Wenhao Zhang, Wytske M van Weerden, Corrina M A de Ridder, Sigrun Erkens-Schulze, Edgar Schönfeld, Titia G Meijer, Roland Kanaar, Dik C van Gent, Julie Nonnekens

Open access · hybridAbstract read
In one paragraph

Article in The Prostate, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

29 citing papers in PubMed, 38 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Review
  10. Review
  11. Article
  12. A clinical evaluation of anFrontiers in medicine · 2023
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Harnessing the Utility ofFrontiers in oncology · 2022
    Review
  19. Article
  20. 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

9 authors at 1 institution in 1 country.

Wenhao ZhangDepartment of Molecular Genetics, Erasmus MC, Rotterdam, The Netherlands.
Wytske M van WeerdenDepartment of Experimental Urology, Erasmus MC, Rotterdam, The Netherlands.
Corrina M A de RidderDepartment of Experimental Urology, Erasmus MC, Rotterdam, The Netherlands.
Sigrun Erkens-SchulzeDepartment of Experimental Urology, Erasmus MC, Rotterdam, The Netherlands.
Edgar SchönfeldDepartment of Molecular Genetics, Erasmus MC, Rotterdam, The Netherlands.
Titia G MeijerDepartment of Molecular Genetics, Erasmus MC, Rotterdam, The Netherlands.
Roland KanaarDepartment of Molecular Genetics, Erasmus MC, Rotterdam, The Netherlands.
Dik C van GentDepartment of Molecular Genetics, Erasmus MC, Rotterdam, The Netherlands.
Julie NonnekensDepartment of Molecular Genetics, Erasmus MC, Rotterdam, The Netherlands.ORCID 0000-0002-9644-7522
Erasmus MC · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn vitro models of prostate cancer (PCa) are not always reliable to evaluate anticancer treatment efficacy. This limitation may be overcome by using viable tumor slice material. Here we report on the establishment of an optimized ex vivo method to culture tissue slices from patient-derived xenografts (PDX) of prostate cancer (PCa), to assess responses to PCa treatments.

methodsThree PDX models were used that are characterized by different androgen receptor (AR) expression and different homology directed DNA repair capacities, due to a breast cancer associated two (BRCA2) wild-type or mutated status. Tumors were removed from mice, sliced using a vibratome and cultured for a maximum of 6 days. To test the sensitivity to androgen antagonist, tumor slices from the AR-expressing and AR-negative PDX tumors were treated with the anti-androgen enzalutamide. For sensitivity to DNA repair intervention, tumors slices from BRCA2 wild-type and mutated PDXs were treated with the poly (ADP-ribose) polymerase-1 inhibitor olaparib. Treatment response in these tumor slices was determined by measuring slice morphology, cell proliferation, apoptosis, AR expression level, and secretion of prostate specific antigen (PSA).

resultsWe compared various culture conditions (support materials, growth media, and use of a 3D smooth rocking platform) to define the optimal condition to maintain tissue viability and proliferative capacity up to least 6 days. Under optimized conditions, enzalutamide treatment significantly decreased proliferation, increased apoptosis, and reduced AR-expression and PSA secretion of AR-expressing tumor slices compared to AR-negative slices, that did not respond to the intervention. Olaparib treatment significantly increased cell death in BRCA2 mutated tumors slices as compared to slices from BRCA2 wild type tumors.

conclusionsEx vivo treatment of PCa PDX tumor slices with enzalutamide and olaparib recapitulates responses previously observed in vivo. The faithful retention of tissue structure and function in this ex vivo model offers an ideal opportunity for treatment efficacy screening, thereby reducing costs and numbers of experimental animals.

Indexed as

Neoplasm TransplantationAndrogen Receptor AntagonistsAnimalsApoptosisBenzamidesBRCA2 ProteinCell ProliferationDNA RepairHumansMaleMiceMice, NudeMutationNitrilesPhenylthiohydantoinPhthalazinesAndrogen Receptor AntagonistsAR protein, humanBenzamidesBRCA2 ProteinenzalutamideNitrilesolaparibPhenylthiohydantoinPhthalazinesPiperazinesPoly(ADP-ribose) Polymerase InhibitorsReceptors, Androgenenzalutamideex vivo cultureolaparibprostate cancertissue slices

Identifiers

PMID30520109
PMCPMC6587720
OpenAlexW2902139162

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.