Somatic chromosomal number alterations affecting driver genes inform in-vitro and clinical drug response in high-grade serous ovarian cancer

Author:

Martins Filipe Correia,Couturier Dominique-Laurent,Santiago Ines de,Sauer Carolin Margarethe,Vias Maria,Angelova Mihaela,Sanders Deborah,Piskorz Anna,Hall James,Hosking Karen,Amirthanayagam Anumithra,Cosulich Sabina,Carnevalli Larissa,Davies Barry,Watkins Tom B. K.,Funingana Gabriel,Bolton Helen,Haldar Krishnayan,Latimer John,Baldwin Peter,Crawford Robin,Eldridge Matthew,Basu Bristi,Jimenez-Linan Mercedes,McGranahan Nicholas,Litchfield KevinORCID,Shah Sohrab P.,McNeish Iain,Caldas Carlos,Evan Gerard,Swanton Charles,Brenton James D.

Abstract

AbstractThe genomic complexity and heterogeneity of high-grade serous ovarian cancer (HGSOC) has hampered the realisation of successful therapies and effective personalised treatment is an unmet clinical need. Here we show that primary HGSOC spheroid models can be used to predict drug response and use them to demonstrate that somatic copy number alterations (SCNAs) in frequently amplified HGSOC cancer genes significantly correlate with gene expression and drug response. These genes are often located in areas of the genome with frequent clonal SCNAs. MYC chromosomal copy number is associated with ex-vivo and clinical response to paclitaxel and ex-vivo response to mTORC1/2 inhibition. Activation of the mTOR survival pathway in the context to MYC-amplified HGSOC is mostly due to increased prevalence of SCNAs in genes from the PI3K pathway. These results suggest that SCNAs encompassing driver genes could be used to inform therapeutic response in the context of clinical trials testing personalised medicines.

Publisher

Cold Spring Harbor Laboratory

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