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Comparative oncogenomics identifies combinations of driver genes and drug targets in BRCA1-mutated breast cancer.

Stefano Annunziato ,
Julian R de Ruiter ,
Linda Henneman ,
Chiara S Brambillasca ,
Catrin Lutz ,
François Vaillant ,
Federica Ferrante ,
Anne Paulien Drenth ,
Eline van der Burg ,
Bjørn Siteur ,
Bas van Gerwen ,
Roebi de Bruijn ,
Martine H van Miltenburg ,
Ivo J Huijbers ,
Marieke van de Ven ,
Jane E Visvader ,
Geoffrey J Lindeman ,
Lodewyk F A Wessels ,
Jos Jonkers

Abstract

BRCA1-mutated breast cancer is primarily driven by DNA copy-number alterations (CNAs) containing large numbers of candidate driver genes. Validation of these candidates requires novel approaches for high-throughput in vivo perturbation of gene function. Here we develop genetically engineered mouse models (GEMMs) of BRCA1-deficient breast cancer that permit rapid introduction of putative drivers by either retargeting of GEMM-derived embryonic stem cells, lentivirus-mediated somatic overexpression or in situ CRISPR/Cas9-mediated gene disruption. We use these approaches to validate Myc, Met, Pten and Rb1 as bona fide drivers in BRCA1-associated mammary tumorigenesis. Iterative mouse modeling and comparative oncogenomics analysis show that MYC-overexpression strongly reshapes the CNA landscape of BRCA1-deficient mammary tumors and identify MCL1 as a collaborating driver in these tumors. Moreover, MCL1 inhibition potentiates the in vivo efficacy of PARP inhibition (PARPi), underscoring the therapeutic potential of this combination for treatment of BRCA1-mutated cancer patients with poor response to PARPi monotherapy.

More about this publication

Nature communications

Volume 10
Issue nr. 1
Pages 397
Publication date 23-01-2019

Full text links

Publisher website (DOI) 10.1038/s41467-019-08301-2
Europe PubMed Central 30674894
Pubmed 30674894

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