Development of a 3D functional assay and identification of biomarkers, predictive for response of high-grade serous ovarian cancer (HGSOC) patients to poly-ADP ribose polymerase inhibitors (PARPis): targeted therapy.

3D cellular model Ascites Biomarkers Epithelial-to-mesenchymal transition Functional assay High-grade serous ovarian cancer PARP inhibitors homologous recombination repair pathway Primary cell cultures Spheroids

Journal

Journal of translational medicine
ISSN: 1479-5876
Titre abrégé: J Transl Med
Pays: England
ID NLM: 101190741

Informations de publication

Date de publication:
19 11 2020
Historique:
received: 30 05 2020
accepted: 06 11 2020
entrez: 20 11 2020
pubmed: 21 11 2020
medline: 15 5 2021
Statut: epublish

Résumé

Poly(ADP-ribose) polymerase inhibitors (PARPis) specifically target homologous recombination deficiency (HRD) cells and display good therapeutic effect in women with advanced-stage BRCA1/2-mutated breast and epithelial ovarian cancer (EOC). However, about 50% of high grade serous ovarian cancers (HGSOC) present with HRD due to epigenetic BRCA1 inactivation, as well as genetic/epigenetic inactivation(s) of other HR genes, a feature known as "BRCAness". Therefore, there is a potential for extending the use of PARPis to these patients if HR status can be identified. We have developed a 3D (spheroid) functional assay to assess the sensitivity of two PARPis (niraparib and olaparib) in ascites-derived primary cell cultures (AsPCs) from HGSOC patients. A method for AsPCs preparation was established based on a matrix (agarose), allowing for easy isolation and successive propagation of monolayer and 3D AsPCs. Based on this method, we performed cytotoxicity assays on 42 AsPCs grown both as monolayers and spheroids. The response to PARPis treatment in monolayer AsPCs, was significantly higher, compared to 3D AsPCs, as 88% and 52% of the monolayer AsPCs displayed sensitivity to niraparib and olaparib respectively, while 66% of the 3D AsPCs were sensitive to niraparib and 38% to olaparib, the latter being more consistent with previous estimates of HRD (40%-60%) in EOC. Moreover, niraparib displayed a significantly stronger cytotoxic effect in both in 3D and monolayer AsPCs, which was confirmed by consecutive analyses of the HR pathway activity (γH2AX foci formation) in PARPis-sensitive and resistant AsPCs. Global gene expression comparison of 6 PARPi-resistant and 6 PARPi-sensitive 3D AsPCs was indicative for the predominant downregulation of numerous genes and networks with previously demonstrated roles in EOC chemoresistance, suggesting that the PARPis-sensitive AsPCs could display enhanced sensitivity to other chemotherapeutic drugs, commonly applied in cancer management. Microarray data validation identified 24 potential gene biomarkers associated with PARPis sensitivity. The differential expression of 7 selected biomarkers was consecutively confirmed by immunohistochemistry in matched EOC tumor samples. The application of this assay and the potential biomarkers with possible predictive significance to PARPis therapy of EOC patients now need testing in the setting of a clinical trial.

Sections du résumé

BACKGROUND
Poly(ADP-ribose) polymerase inhibitors (PARPis) specifically target homologous recombination deficiency (HRD) cells and display good therapeutic effect in women with advanced-stage BRCA1/2-mutated breast and epithelial ovarian cancer (EOC). However, about 50% of high grade serous ovarian cancers (HGSOC) present with HRD due to epigenetic BRCA1 inactivation, as well as genetic/epigenetic inactivation(s) of other HR genes, a feature known as "BRCAness". Therefore, there is a potential for extending the use of PARPis to these patients if HR status can be identified.
METHODS
We have developed a 3D (spheroid) functional assay to assess the sensitivity of two PARPis (niraparib and olaparib) in ascites-derived primary cell cultures (AsPCs) from HGSOC patients. A method for AsPCs preparation was established based on a matrix (agarose), allowing for easy isolation and successive propagation of monolayer and 3D AsPCs. Based on this method, we performed cytotoxicity assays on 42 AsPCs grown both as monolayers and spheroids.
RESULTS
The response to PARPis treatment in monolayer AsPCs, was significantly higher, compared to 3D AsPCs, as 88% and 52% of the monolayer AsPCs displayed sensitivity to niraparib and olaparib respectively, while 66% of the 3D AsPCs were sensitive to niraparib and 38% to olaparib, the latter being more consistent with previous estimates of HRD (40%-60%) in EOC. Moreover, niraparib displayed a significantly stronger cytotoxic effect in both in 3D and monolayer AsPCs, which was confirmed by consecutive analyses of the HR pathway activity (γH2AX foci formation) in PARPis-sensitive and resistant AsPCs. Global gene expression comparison of 6 PARPi-resistant and 6 PARPi-sensitive 3D AsPCs was indicative for the predominant downregulation of numerous genes and networks with previously demonstrated roles in EOC chemoresistance, suggesting that the PARPis-sensitive AsPCs could display enhanced sensitivity to other chemotherapeutic drugs, commonly applied in cancer management. Microarray data validation identified 24 potential gene biomarkers associated with PARPis sensitivity. The differential expression of 7 selected biomarkers was consecutively confirmed by immunohistochemistry in matched EOC tumor samples.
CONCLUSION
The application of this assay and the potential biomarkers with possible predictive significance to PARPis therapy of EOC patients now need testing in the setting of a clinical trial.

Identifiants

pubmed: 33213473
doi: 10.1186/s12967-020-02613-4
pii: 10.1186/s12967-020-02613-4
pmc: PMC7678187
doi:

Substances chimiques

Biomarkers 0
Poly(ADP-ribose) Polymerase Inhibitors 0
Adenosine Diphosphate Ribose 20762-30-5

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

439

Subventions

Organisme : CIHR
ID : FDN-388879
Pays : Canada

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Auteurs

Razan Sheta (R)

Department of Molecular Medicine, Université Laval, Québec, QC, G1V 0A6, Canada.
Centre de recherche du CHU de Québec, Oncology division, L'Hôtel-Dieu de Québec, 9 rue McMahon, Québec, QC, G1R 3S3, Canada.

Magdalena Bachvarova (M)

Centre de recherche du CHU de Québec, Oncology division, L'Hôtel-Dieu de Québec, 9 rue McMahon, Québec, QC, G1R 3S3, Canada.

Marie Plante (M)

Centre de recherche du CHU de Québec, Oncology division, L'Hôtel-Dieu de Québec, 9 rue McMahon, Québec, QC, G1R 3S3, Canada.
Department of Obstetrics and Gynecology, Université Laval, Québec, QC, G1V 0A6, Canada.

Marie-Claude Renaud (MC)

Centre de recherche du CHU de Québec, Oncology division, L'Hôtel-Dieu de Québec, 9 rue McMahon, Québec, QC, G1R 3S3, Canada.
Department of Obstetrics and Gynecology, Université Laval, Québec, QC, G1V 0A6, Canada.

Alexandra Sebastianelli (A)

Centre de recherche du CHU de Québec, Oncology division, L'Hôtel-Dieu de Québec, 9 rue McMahon, Québec, QC, G1R 3S3, Canada.
Department of Obstetrics and Gynecology, Université Laval, Québec, QC, G1V 0A6, Canada.

Jean Gregoire (J)

Centre de recherche du CHU de Québec, Oncology division, L'Hôtel-Dieu de Québec, 9 rue McMahon, Québec, QC, G1R 3S3, Canada.
Department of Obstetrics and Gynecology, Université Laval, Québec, QC, G1V 0A6, Canada.

Jamilet Miranda Navarro (JM)

Bioinformatics Department, Center for Genetic Engineering and Biotechnology, 10600, Havana, CP, Cuba.

Ricardo Bringas Perez (RB)

Bioinformatics Department, Center for Genetic Engineering and Biotechnology, 10600, Havana, CP, Cuba.

Jean-Yves Masson (JY)

Centre de recherche du CHU de Québec, Oncology division, L'Hôtel-Dieu de Québec, 9 rue McMahon, Québec, QC, G1R 3S3, Canada.
Department of Molecular Biology, Medical Biochemistry, and Pathology, Laval University Cancer Research Center, Québec, QC, G1V 0A6, Canada.

Dimcho Bachvarov (D)

Department of Molecular Medicine, Université Laval, Québec, QC, G1V 0A6, Canada. dimtcho.batchvarov@crhdq.ulaval.ca.
Centre de recherche du CHU de Québec, Oncology division, L'Hôtel-Dieu de Québec, 9 rue McMahon, Québec, QC, G1R 3S3, Canada. dimtcho.batchvarov@crhdq.ulaval.ca.

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