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

Files in This Item:
File Description SizeFormat 
Maenhoudt_N_2020.pdfPublished version2.88 MBAdobe PDFView/Open
Show full item record

SCOPUSTM   
Citations

1
checked on Sep 2, 2020

WEB OF SCIENCETM
Citations

89
checked on Apr 30, 2024

Page view(s)

46
checked on Sep 7, 2022

Download(s)

18
checked on Sep 7, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.