Artigo Acesso aberto Revisado por pares

Clonal somatic copy number altered driver events inform drug sensitivity in high-grade serous ovarian cancer

2022; Nature Portfolio; Volume: 13; Issue: 1 Linguagem: Inglês

10.1038/s41467-022-33870-0

ISSN

2041-1723

Autores

Filipe Correia Martins, Dominique‐Laurent Couturier, Inês de Santiago, Carolin M. Sauer, Maria Vias, Mihaela Angelova, Deborah A. Sanders, Anna Piskorz, James Hall, Karen Hosking, Anumithra Amirthanayagam, Sabina Cosulich, Larissa S. Carnevalli, Barry R. Davies, Thomas B.K. Watkins, Ionut G. Funingana, Helen Bolton, Krishnayan Haldar, John Latimer, Peter Baldwin, Robin Crawford, Matthew Eldridge, Bristi Basu, Mercedes Jimenez‐Liñan, Andrew McPherson, Nicholas McGranahan, Kevin Litchfield, Sohrab P. Shah, Iain A. McNeish, Carlos Caldas, Gérard I. Evan, Charles Swanton, James D. Brenton,

Tópico(s)

PARP inhibition in cancer therapy

Resumo

Chromosomal instability is a major challenge to patient stratification and targeted drug development for high-grade serous ovarian carcinoma (HGSOC). Here we show that somatic copy number alterations (SCNAs) in frequently amplified HGSOC cancer genes significantly correlate with gene expression and methylation status. We identify five prevalent clonal driver SCNAs (chromosomal amplifications encompassing MYC, PIK3CA, CCNE1, KRAS and TERT) from multi-regional HGSOC data and reason that their strong selection should prioritise them as key biomarkers for targeted therapies. We use primary HGSOC spheroid models to test interactions between in vitro targeted therapy and SCNAs. MYC chromosomal copy number is associated with in-vitro and clinical response to paclitaxel and in-vitro response to mTORC1/2 inhibition. Activation of the mTOR survival pathway in the context of MYC-amplified HGSOC is statistically associated with increased prevalence of SCNAs in genes from the PI3K pathway. Co-occurrence of amplifications in MYC and genes from the PI3K pathway is independently observed in squamous lung cancer and triple negative breast cancer. In this work, we show that identifying co-occurrence of clonal driver SCNA genes could be used to tailor therapeutics for precision medicine.

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