Bimodal age distribution at diagnosis in breast cancer persists across molecular and genomic classifications.

Emma H AllottYue ShanMengjie ChenXuezheng SunSusana Garcia-RecioErin L KirkAndrew F OlshanJoseph GeradtsH Shelton EarpLisa A CareyCharles M PerouRuth M PfeifferWilliam F AndersonMelissa A Troester

Published in: Breast cancer research and treatment (2019)

Bimodal age distribution at diagnosis was detected in the Carolina Breast Cancer Study, similar to national cancer registry data. Our data support two fundamental age-defined etiologic breast cancer subtypes that persist across molecular and genomic characteristics. Better criteria to distinguish etiologic subtypes could improve understanding of breast cancer etiology and contribute to prevention efforts.

Keyphrases

electronic health record
copy number
gene expression
machine learning
single molecule
quality improvement
data analysis
genome wide