Evidence map›Paper›PMID 42191907›Full record

ArticleNPJ precision oncology2026

A novel ex vivo platform for functional evaluation of treatment responses in metastatic ovarian cancer.

Alain Valdivia, Adebimpe Adefolaju, Morrent Thang, Caroline Stockwell, Luz Andrea Cuaboy, Catherine John, Breanna Mann, Andrew Satterlee, Victoria L Bae-Jump, Shawn Hingtgen

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

10 authors.

Alain ValdiviaEshelman School of Pharmacy, Division of Pharmacoengineering and Molecular Pharmaceutics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. alain07@email.unc.edu.
Adebimpe AdefolajuEshelman Institute for Innovation, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Morrent ThangBiotechnology Discovery Research, Eli Lilly & Company, Indianapolis, IN, USA.
Caroline StockwellEshelman School of Pharmacy, Division of Pharmacoengineering and Molecular Pharmaceutics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Luz Andrea CuaboyLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Catherine JohnGynecologic Oncology, Kaiser Permanente, Clackamas, OR, USA.
Breanna MannEshelman School of Pharmacy, Division of Pharmacoengineering and Molecular Pharmaceutics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Andrew SatterleeEshelman Institute for Innovation, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Victoria L Bae-JumpDivision of Gynecologic Oncology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Shawn HingtgenEshelman School of Pharmacy, Division of Pharmacoengineering and Molecular Pharmaceutics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The lack of functional precision models that recapitulate the structural and microenvironmental features of advanced ovarian cancer remains a major barrier to improving therapeutic selection. Here, we present an organotypic mesentery membrane culture (OMMC) model, an ex vivo platform that supports rapid engraftment of freshly resected human ovarian cancer tissue and established cell lines onto intact rat mesenteric membranes. This system enables functional assessment of responses to standard-of-care therapies within five days. We demonstrate sustained viability of mesenteric tissue, successful engraftment and expansion of tumor cells and patient-derived tumor tissue, and measurable tumor-mesentery interactions. Using a multi-parametric drug sensitivity score (DSS), we quantified tumor response relative to off-target mesenteric toxicity across a panel of FDA-approved therapies. Application of the platform to patient-derived tumor samples revealed inter-patient variability in drug sensitivity profiles. Comparison of OMMC-derived responses with matched clinical outcomes suggests that this approach may help inform treatment response in a subset of cases. Together, these findings support the potential of the OMMC platform as a functional assay to complement existing preclinical and molecular approaches for evaluating therapeutic responses in ovarian cancer.

Identifiers

PMID42191907
PMCPMC13486783

What OpenQuestion holds

Textmetadata
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.