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Bimodal Age Distribution at Diagnosis in Breast Cancer Persists across Molecular and Genomic Classifications

Citation

Allott, Emma H.; Shan, Yue; Chen, Mengjie; Sun, Xuezheng; Garcia-Recio, Susana; Kirk, Erin L.; Olshan, Andrew F.; Geradts, Joseph; Earp, H. Shelton; & Carey, Lisa A., et al. (2020). Bimodal Age Distribution at Diagnosis in Breast Cancer Persists across Molecular and Genomic Classifications. Breast Cancer Research and Treatment, 179, 185-95. PMCID: PMC6985047

Abstract

PURPOSE: Female breast cancer demonstrates bimodal age frequency distribution patterns at diagnosis, interpretable as two main etiologic subtypes or groupings of tumors with shared risk factors. While RNA-based methods including PAM50 have identified well-established clinical subtypes, age distribution patterns at diagnosis as a proxy for etiologic subtype are not established for molecular and genomic tumor classifications.

URL

http://dx.doi.org/10.1007/s10549-019-05442-2

Reference Type

Journal Article

Journal Title

Breast Cancer Research and Treatment

Author(s)

Allott, Emma H.
Shan, Yue
Chen, Mengjie
Sun, Xuezheng
Garcia-Recio, Susana
Kirk, Erin L.
Olshan, Andrew F.
Geradts, Joseph
Earp, H. Shelton
Carey, Lisa A.
Perou, Charles M.
Pfeiffer, Ruth M.
Anderson, William F.
Troester, Melissa A.

Year Published

2020

Volume Number

179

Pages

185-95

PMCID

PMC6985047

Reference ID

13070