A 3D ovarian cancer metastasis model using a decellularised peritoneal matrix to study therapy response

Financial support was provided by the University of Bergen, Helse Vest RHF (F-12183-D10616, 779, 911182, 912035, and 912146), Helse Bergen HF (240222), the Norwegian Cancer Society (6833652 and 182735), the Research Council of Norway grants (250317, 326300, 223250, 262652, and 295910), the Novo Nordisk Foundation (NNF21OC0070381), the Kolbjørn Brambani Legat for Kreftforskning, the National Institute of Health (R01CA199646) and the Swedish Cancer Society (21 1888 Pj).

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Publication Details

Journal
EBioMedicine
Published
2026-02-01
DOI
https://doi.org/10.1016/j.ebiom.2026.106135
Primary Topic
Ovarian cancer diagnosis and treatment
Type
article
Field-Weighted Citation Impact
0.00
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A 3D ovarian cancer metastasis model using a decellularised peritoneal matrix to study therapy response

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A 3D ovarian cancer metastasis model using a decellularised peritoneal matrix to study therapy response

Emmet McCormack, Rammah Elnour, Harsh Dongre, Sébastien Wälchli, Spiros Kotopoulis, Katrin Kleinmanns, Christopher Forcados, Pascal Gélébart, Tuula A. Nyman, Gorka Ruíz de Garibay, Christiane Helgestad Gjerde, Anika Langer, Calum Leitch, Kaisa Lehti, Maria Stensland, Constantin Berger, Ben Davidson, Gina Nyhus Stangeland, Ezekial Rozmus, Daniela Elena Costea, Line Bjørge, Okan Gultekin
article en

Abstract

Financial support was provided by the University of Bergen, Helse Vest RHF (F-12183-D10616, 779, 911182, 912035, and 912146), Helse Bergen HF (240222), the Norwegian Cancer Society (6833652 and 182735), the Research Council of Norway grants (250317, 326300, 223250, 262652, and 295910), the Novo Nordisk Foundation (NNF21OC0070381), the Kolbjørn Brambani Legat for Kreftforskning, the National Institute of Health (R01CA199646) and the Swedish Cancer Society (21 1888 Pj).

EBioMedicineVol. 124
Oslo University Hospital (NO), Norwegian University of Science and Technology (NO), Haukeland University Hospital (NO), Karolinska Institutet (SE), Universitätsklinikum Würzburg (DE), University of Bergen (NO)
Good health and well-being
Openalex Percentile: Top 71%
Ovarian cancer diagnosis and treatment
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