Authors
Obi L Griffith, Nicholas C Spies, Meenakshi Anurag, Malachi Griffith, Jingqin Luo, Dongsheng Tu, Belinda Yeo, Jason Kunisaki, Christopher A Miller, Kilannin Krysiak, Jasreet Hundal, Benjamin J Ainscough, Zachary L Skidmore, Katie Campbell, Runjun Kumar, Catrina Fronick, Lisa Cook, Jacqueline E Snider, Sherri Davies, Shyam M Kavuri, Eric C Chang, Vincent Magrini, David E Larson, Robert S Fulton, Shuzhen Liu, Samuel Leung, David Voduc, Ron Bose, Mitch Dowsett, Richard K Wilson, Torsten O Nielsen, Elaine R Mardis, Matthew J Ellis
Publication date
2018/9/4
Journal
Nature communications
Volume
9
Issue
1
Pages
3476
Publisher
Nature Publishing Group UK
Description
Here we report targeted sequencing of 83 genes using DNA from primary breast cancer samples from 625 postmenopausal (UBC-TAM series) and 328 premenopausal (MA12 trial) hormone receptor-positive (HR+) patients to determine interactions between somatic mutation and prognosis. Independent validation of prognostic interactions was achieved using data from the METABRIC study. Previously established associations between MAP3K1 and PIK3CA mutations with luminal A status/favorable prognosis and TP53 mutations with Luminal B/non-luminal tumors/poor prognosis were observed, validating the methodological approach. In UBC-TAM, NF1 frame-shift nonsense (FS/NS) mutations were also a poor outcome driver that was validated in METABRIC. For MA12, poor outcome associated with PIK3R1 mutation was also reproducible. DDR1 mutations were strongly associated with poor prognosis in UBC …
Scholar articles
OL Griffith, NC Spies, M Anurag, M Griffith, J Luo, D Tu… - Nature communications, 2018