Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/31183
Title: Developing Organoids from Ovarian Cancer as Experimental and Preclinical Models
Authors: Maenhoudt, Nina
Defraye, Charlotte
Boretto, Matteo
Jan, Ziga
Heremans, Ruben
Boeckx, Bram
HERMANS, Florian 
ARIJS, Ingrid 
Cox, Benoit
Van Nieuwenhuysen, Els
Vergote, Ignace
Van Rompuy, Anne-Sophie
Lambrechts, Diether
Timmerman, Dirk
Vankelecom, Hugo
Issue Date: 2020
Publisher: CELL PRESS
Source: Stem cell reports, 14 (4) , p. 717 -729
Abstract: Ovarian cancer (OC) represents the most dismal gynecological cancer. Pathobiology is poorly understood, mainly due to lack of appropriate study models. Organoids, defined as self-developing three-dimensional in vitro reconstructions of tissues, provide powerful tools to model human diseases. Here, we established organoid cultures from patient-derived OC, in particular from the most prevalent high-grade serous OC (HGSOC). Testing multiple culture medium components identified neuregulin-1 (NRG1) as key factor in maximizing OC organoid development and growth, although overall derivation efficiency remained moderate (36% for HGSOC patients, 44% for all patients together). Established organoid lines showed patient tumor-dependent morphology and disease characteristics, and recapitulated the parent tumor's marker expression and mutational landscape. Moreover, the organoids displayed tumor-specific sensitivity to clinical HGSOC chemotherapeutic drugs. Patient-derived OC organoids provide powerful tools for the study of the cancer's pathobiology (such as importance of the NRG1/ERBB pathway) as well as advanced preclinical tools for (personalized) drug screening and discovery.
Keywords: Tumor-Suppressor;Serous Tumors;Expression;Disease;Survival;Cultures;Cells;Mutations;Biobank;Breast
Document URI: http://hdl.handle.net/1942/31183
ISSN: 2213-6711
e-ISSN: 2213-6711
DOI: 10.1016/j.stemcr.2020.03.004
ISI #: WOS:000526941200017
Rights: This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Category: A1
Type: Journal Contribution
Validations: ecoom 2021
Appears in Collections:Research publications

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