Evidence map›Paper›PMID 40885787›Full record

ArticleNPJ precision oncology2025

Ex vivo 3D micro-tumour testing platform for predicting clinical response to platinum-based therapy in patients with high-grade serous ovarian cancer.

Esmee Koedoot, Dieudonné J van der Meer, Anne M van Altena, Lieke J Ceton, Timothy J P Sijsenaar, Marta G Montero, Fanny Grillet, Jurgen M J Piek, Ruud L M Bekkers, Maurice J D L van der Vorst and 14 more

Abstract read
In one paragraph

Article in NPJ precision oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Translational 3DFrontiers in immunology · 2026
    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

24 authors.

Esmee Koedoot *VitroScan, Leiden, The Netherlands. esmee.koedoot@vitroscan.nl.
Dieudonné J van der Meer *VitroScan, Leiden, The Netherlands.
Anne M van AltenaRadboud University Medical Center, Gynaecologische Oncology, Nijmegen, The Netherlands.
Lieke J CetonVitroScan, Leiden, The Netherlands.
Timothy J P SijsenaarVitroScan, Leiden, The Netherlands.
Marta G MonteroVitroScan, Leiden, The Netherlands.
Fanny GrilletVitroScan, Leiden, The Netherlands.
Jurgen M J PiekCatharina Ziekenhuis, Gynaecology, Eindhoven, The Netherlands.
Ruud L M BekkersRadboud University Medical Center, Gynaecologische Oncology, Nijmegen, The Netherlands.
Maurice J D L van der VorstRijnstate, Interne Geneeskunde, Arnhem, The Netherlands.
Auke M T HuijbenMaasstad Ziekenhuis, Interne Geneeskunde, Rotterdam, The Netherlands.
Astrid BaalbergenReinier de Graaf Ziekenhuis, Gynaecology, Den Haag, The Netherlands.
Kevin G J A VoogdtHaga Ziekenhuis, Gynaecology, Den Haag, The Netherlands.
Loes VerhoevenLaurentius Ziekenhuis, Roermond, The Netherlands.
Huberdina P M SmedtsAmphia Ziekenhuis, Gynaecology, Breda, The Netherlands.
Klaus WeberAnapath, Basel, Switzerland.
Hans Marten HazelbagHMC Haaglanden, Pathology, Den Haag, The Netherlands.
Tjalling BosseLeiden University Medical Center, Pathology, Leiden, The Netherlands.
Els L van Persijn-van MeertenLeiden University Medical Center, Radiology, Leiden, The Netherlands.
Cornelis D de KroonLeiden University Medical Center, Gynaecology, Leiden, The Netherlands.
Leo PriceCrown Bioscience, Leiden, The Netherlands.
Willemijn VaderVitroScan, Leiden, The Netherlands.
Judith R KroepLeiden University Medical Center, Medical Oncology, Leiden, The Netherlands.
Nelleke P B OttevangerRadboud University Medical Center, Medical BioSciences, Nijmegen, The Netherlands.

Funding

Eureka - Eurostars ESTAR20124
6 · The paper itself

Abstract

Around 20% of patients with primary high-grade ovarian cancer do not respond to chemotherapy, but predictive biomarkers are lacking. The purpose of the current study is to establish and clinically validate an ex vivo 3D micro-tumour testing platform that predicts patient-specific response to standard of care chemotherapy. 104 ovarian cancer patients with malignant ascites were included in the study. Micro-tumours enriched from ascites were exposed to standard of care chemo- and targeted therapies, imaged using a high-content 3D screening platform. Morphological features were extracted for sensitivity profiling. A linear regression model was trained to predict the patient's CA125 decay rates, which were correlated to clinical outcomes (patient CA125 decay rate, change in tumour size, and progression-free survival). Isolated micro-tumours recapitulated ovarian cancer markers. A significant correlation (R = 0.77) between predicted and clinical CA125 rates was observed. Patients with predicted high ex vivo sensitivity to carboplatin/paclitaxel demonstrated significantly increased PFS and decreased tumour size. Complementary, patient-specific response profiles for second-line therapies were calculated and presented in integrated reports. In conclusion, an ex vivo 3D micro-tumour testing platform was established that predicted clinical response to neo-adjuvant chemotherapy in ovarian cancer patients and measured patient-specific responses to second-line therapies as a proof-of-concept. The platform enabled stratification of responders vs non-responders and has the potential to support informed treatment decisions after prospective validation. Results are generated within 2 weeks after sample collection, aligning with the clinical time frame for treatment decision-making.

Identifiers

PMID40885787
PMCPMC12398560

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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.