Evidence map›Paper›PMID 41881987›Full record

ArticleNature communications2026

3D pentaculture model unveils malignant cell-driven macrophage polarization in high-grade serous ovarian cancer.

Beatrice Malacrida, Samar Elorbany, Florian Laforêts, Faisal Karim, Rachel C Bryan-Ravenscroft, Michail Sideris, Joash D Joy, Panoraia Kotantaki, Sophie L P Skingsley, Owen M Heath and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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.

Beatrice MalacridaCentre for Tumour Microenvironment, Barts Cancer Institute, Queen Mary University of London, London, UK.
Samar ElorbanyCentre for Tumour Microenvironment, Barts Cancer Institute, Queen Mary University of London, London, UK.ORCID http://orcid.org/0000-0001-8342-0948
Florian LaforêtsCentre for Tumour Microenvironment, Barts Cancer Institute, Queen Mary University of London, London, UK.
Faisal KarimCentre for Tumour Microenvironment, Barts Cancer Institute, Queen Mary University of London, London, UK.
Rachel C Bryan-RavenscroftCentre for Tumour Microenvironment, Barts Cancer Institute, Queen Mary University of London, London, UK.
Michail SiderisWolfson Institute of Population Health, Queen Mary University of London, London, UK.
Joash D JoyCentre for Tumour Microenvironment, Barts Cancer Institute, Queen Mary University of London, London, UK.ORCID http://orcid.org/0000-0001-5700-2582
Panoraia KotantakiCentre for Tumour Microenvironment, Barts Cancer Institute, Queen Mary University of London, London, UK.ORCID http://orcid.org/0000-0003-1098-9994
Sophie L P SkingsleyCentre for Tumour Microenvironment, Barts Cancer Institute, Queen Mary University of London, London, UK.
Owen M HeathDepartment of Gynaecological Oncology Surgery, The Royal Marsden Hospital, London, UK.
Ranjit ManchandaWolfson Institute of Population Health, Queen Mary University of London, London, UK.ORCID http://orcid.org/0000-0003-3381-5057
Eleni ManiatiCentre for Tumour Microenvironment, Barts Cancer Institute, Queen Mary University of London, London, UK.ORCID http://orcid.org/0000-0001-6993-9890
Frances R BalkwillCentre for Tumour Microenvironment, Barts Cancer Institute, Queen Mary University of London, London, UK. f.balkwill@qmul.ac.uk.ORCID http://orcid.org/0000-0002-5587-9759

Funding

Cancer Research UK (CRUK) A25714Cancer Research UK (CRUK) CTRQQR-2021\100004Ovarian Cancer Research Fund Alliance (Ovarian Cancer Research Fund Alliance, Inc.) 649516RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP X028704Wellbeing of Women ELS906Wellbeing of Women RTF1103
6 · The paper itself

Abstract

High-grade serous ovarian cancer (HGSOC) is characterized by a complex, immunosuppressive tumor microenvironment (TME) that contributes to poor clinical outcomes and resistance to therapy. To replicate the human TME in vitro, we develop a 3D pentaculture model incorporating five human cell types: malignant HGSOC cells and primary fibroblasts, mesothelial cells, adipocytes, monocytes. Monocytes differentiate into macrophages without exogenous cytokines in the pentacultures. Bulk RNA sequencing and deconvolution with single-cell RNA data from patient biopsies reveal that macrophage clusters within the pentacultures replicate those found in human HGSOC metastases, and proportions of individual clusters vary according to the malignant cell line. The pentacultures enable detailed analysis of malignant cell-macrophage interactions and highlight the influence of malignant cell genomic, transcriptomic and proteomic heterogeneity on the TME. Furthermore, targeting of "do-not-eat-me" signals with anti-CD47 and anti-CD24 monoclonal antibodies demonstrate differential effects on macrophage activity and cancer cell viability, again depending on the individual malignant cell line. Real-time microscopic monitoring of the pentacultures confirms dynamic modulation of macrophage behavior. We conclude that this pentaculture model offers a platform to study malignant cell control of TME elements and in particular their interactions with myeloid cells.

Indexed as

Cystadenocarcinoma, SerousMacrophagesOvarian NeoplasmsCell DifferentiationCell Line, TumorFemaleHumansTumor Microenvironment

Identifiers

PMID41881987
PMCPMC13018538

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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.