Evidence map›Paper›PMID 41651935›Full record

ArticleNPJ precision oncology2026

Ex vivo drug sensitivity testing predicts treatment outcomes in advanced ovarian cancer.

Kathrin B Labrosse, Flavio C Lombardo, Ewelina M Bartoszek, Loïc Sauteur, Nina Tanner, Tanmay Tanna, Anja Wolf, Barbora Tunkova, Lenka Kasikova, Andre Fedier and 9 more

Abstract read
In one paragraph

Article in NPJ precision oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

19 authors.

Kathrin B LabrosseDepartment of Biomedicine, Ovarian Cancer Research, University Hospital Basel and University of Basel, Basel, Switzerland.
Flavio C LombardoDepartment of Biomedicine, Ovarian Cancer Research, University Hospital Basel and University of Basel, Basel, Switzerland.
Ewelina M BartoszekDepartment of Biomedicine, Microscopy Core Facility, University of Basel, Basel, Switzerland.
Loïc SauteurDepartment of Biomedicine, Microscopy Core Facility, University of Basel, Basel, Switzerland.
Nina TannerDepartment of Biomedicine, Ovarian Cancer Research, University Hospital Basel and University of Basel, Basel, Switzerland.
Tanmay TannaDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Anja WolfDepartment of Biomedicine, Ovarian Cancer Research, University Hospital Basel and University of Basel, Basel, Switzerland.
Barbora TunkovaSotio Biotech a.s., Prague, Czech Republic.
Lenka KasikovaSotio Biotech a.s., Prague, Czech Republic.
Andre FedierDepartment of Biomedicine, Ovarian Cancer Research, University Hospital Basel and University of Basel, Basel, Switzerland.
Monica Nunez LopezDepartment of Biomedicine, Ovarian Cancer Research, University Hospital Basel and University of Basel, Basel, Switzerland.
Ilaria AlborelliInstitute of Biomedical Genetics and Pathology, University of Basel, Basel, Switzerland.
Christian BeiselDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Christian KurzederDepartment of Gynecology and Gynecological Oncology, Hospital for Women, University Hospital Basel, Basel, Switzerland.
Céline MontavonDepartment of Gynecology and Gynecological Oncology, Hospital for Women, University Hospital Basel, Basel, Switzerland.
Jitka FucíkovaSotio Biotech a.s., Prague, Czech Republic.
Viola Heinzelmann-Schwarz *Department of Biomedicine, Ovarian Cancer Research, University Hospital Basel and University of Basel, Basel, Switzerland.
Francis Jacob *Department of Biomedicine, Ovarian Cancer Research, University Hospital Basel and University of Basel, Basel, Switzerland. francis.jacob@unibas.ch.
Ricardo Coelho *Department of Biomedicine, Ovarian Cancer Research, University Hospital Basel and University of Basel, Basel, Switzerland. ricardojorge.bouca-novacoelho@unibas.ch.

Funding

Swiss Cancer Research Foundation KFS-5389-08-2021-RSwiss National Science Foundation 171037Wilhelm Sander-Stiftung 2023.110.1
6 · The paper itself

Abstract

Effective management of advanced epithelial ovarian cancer (EOC) is challenging, with most patients relapsing despite standard therapies, highlighting the need for personalized treatment. Functional ex vivo drug testing enables matching patients to effective therapies based on drug sensitivity. We present DRUGSENS, a scalable, clinically adaptable ex vivo screening platform that quantitatively assesses single-cell, on-target drug effects in cell lines and patient-derived samples. DRUGSENS offers high-resolution analysis of responses to single agents and relevant drug combinations, guiding personalized treatment across tumor types. The semi-automated assay integrates immunofluorescence-based confocal imaging with computational analysis using QuPath, Fiji, and a dedicated R package. We profiled 21 samples from 17 patients in chemotherapy-naive and relapsed states, achieving 100% culture success and delivering results within 10 days. Most samples showed limited sensitivity to multiple agents, indicating multidrug resistance. Notably, ex vivo drug responses correlated significantly with progression-free and overall survival. DRUGSENS supports rapid, clinically relevant functional profiling in EOC, providing a valuable tool to inform treatment recommendations and prioritize drugs for clinical application.

Identifiers

PMID41651935
PMCPMC13357566

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.