Abstract

Acquired or de novo resistance to poly (ADP-ribose) polymerase inhibitors (PARPi) is a major challenge to ovarian cancer treatment. Therefore, strategies to overcome PARPi resistance are critical to improve prognosis. The purpose of this study is to evaluate whether inhibition of ADAM17 sensitizes ovarian cancer to treatment with olaparib, a PARPi, thereby bypassing resistance mechanisms and improving treatment response. Thus, we analyzed the effect of olaparib in combination with the ADAM17 inhibitor GW280264X in ovarian cancer using a 2D monolayer and a 3D spheroid model followed by a multicontent readout (viability, caspase activation and cytotoxicity). To emphasize the translational aspect of our work, we performed corresponding experiments on primary cells derived from ovarian cancer patients initially screened for their mutation status of the breast cancer gene (BRCA 1/2). In 2D, we observed a significant reduction in cell viability and a subsequent increase in apoptosis of the combined treatment (olaparib + GW280264X) compared with olaparib mono-treatment. The combined treatment allows a substantial dose reduction of olaparib rendering a strong synergistic effect. Using a 3D spheroid model from primary cells, we confirmed the 2D monoculture results and demonstrated not only increased caspase activity under the combined treatment but also a substantial gain in cytotoxicity compared to the mono-treatment. Our study proposes ADAM17 inhibition sensitizing ovarian cancer to olaparib treatment and improving treatment response.

Details

Title
Inhibiting ADAM17 enhances the efficacy of olaparib in ovarian cancer spheroids
Author
Rogmans, Christoph 1 ; Dittrich, Jan 1 ; Hamm, Emily 1 ; Weimer, Jörg Paul 1 ; Holthaus, David 2 ; Arnold, Norbert 1 ; Flörkemeier, Inken 1 ; Maass, Nicolai 1 ; Jansen, Peer 1 ; Dempfle, Astrid 3 ; Bauerschlag, Dirk O. 1 ; Hedemann, Nina 1 

 Kiel University and University Medical Center Schleswig-Holstein Campus Kiel, Department of Gynecology and Obstetrics, Kiel, Germany (GRID:grid.9764.c) (ISNI:0000 0001 2153 9986) 
 Kiel University and University Medical Center Schleswig-Holstein Campus Kiel, Department of Gynecology and Obstetrics, Kiel, Germany (GRID:grid.9764.c) (ISNI:0000 0001 2153 9986); Kiel University and University Medical Center Schleswig-Holstein Campus Kiel, Laboratory of Infection Oncology, Institute of Clinical Molecular Biology, Kiel, Germany (GRID:grid.9764.c) (ISNI:0000 0001 2153 9986) 
 Kiel University and University Medical Center, Institute of Medical Informatics and Statistics, Kiel, Germany (GRID:grid.9764.c) (ISNI:0000 0001 2153 9986) 
Pages
26926
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3124952872
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.