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Functionally Recurrent Rearrangements of the MAST Kinase and Notch Gene Families in Breast Cancer

Breast cancer is a heterogeneous disease, exhibiting a wide range of molecular aberrations and clinical outcomes. Here we employed paired-end transcriptome sequencing to explore the landscape of gene fusions in a panel of breast cancer cell lines and tissues. We observed that individual breast cance...

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Detalles Bibliográficos
Autores principales: Robinson, Dan R., Kalyana-Sundaram, Shanker, Wu, Yi-Mi, Shankar, Sunita, Cao, Xuhong, Ateeq, Bushra, Asangani, Irfan A., Iyer, Matthew, Maher, Christopher A., Grasso, Catherine S., Lonigro, Robert J., Quist, Michael, Siddiqui, Javed, Mehra, Rohit, Jing, Xiaojun, Giordano, Thomas J., Sabel, Michael S., Kleer, Celina G., Palanisamy, Nallasivam, Natrajan, Rachael, Lambros, Maryou B., Reis-Filho, Jorge S., Kumar-Sinha, Chandan, Chinnaiyan, Arul M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3233654/
https://www.ncbi.nlm.nih.gov/pubmed/22101766
http://dx.doi.org/10.1038/nm.2580
Descripción
Sumario:Breast cancer is a heterogeneous disease, exhibiting a wide range of molecular aberrations and clinical outcomes. Here we employed paired-end transcriptome sequencing to explore the landscape of gene fusions in a panel of breast cancer cell lines and tissues. We observed that individual breast cancers harbor an array of expressed gene fusions. We identified two classes of recurrent gene rearrangements involving microtubule associated serine-threonine kinase (MAST) and Notch family genes. Both MAST and Notch family gene fusions exerted significant phenotypic effects in breast epithelial cells. Breast cancer lines harboring Notch gene rearrangements are uniquely sensitive to inhibition of Notch signaling, and over-expression of MAST1 or MAST2 gene fusions had a proliferative effect both in vitro and in vivo. These findings illustrate that recurrent gene rearrangements play significant roles in subsets of carcinomas and suggest that transcriptome sequencing may serve to identify patients with rare, actionable gene fusions.