The Influence of Age on the Histopathology and Prognosis of Atypical Breast Lesions.
Abstract
BACKGROUND:Although several prognostic variables and risk factors for breast cancer
are age-related, the association between age and risk of cancer with breast atypia
is controversial. This study aimed to compare the type of breast atypia and risk of
underlying or subsequent breast cancer by age. METHODS:Adult women with breast atypia
(atypical ductal hyperplasia, atypical lobular hyperplasia, and lobular carcinoma
in situ) at a single institution from 2008 to 2017 were stratified by age at initial
diagnosis: <50 y, 50-70 y, and >70 y. Regression modeling was used to estimate the
association of age with risk of underlying carcinoma or subsequent cancer diagnosis.
RESULTS:A total of 530 patients with atypia were identified: 31.1% < 50 y (n = 165),
58.1% 50-70 y (n = 308), and 10.8% > 70 y (n = 57). The proportion of women with atypical
ductal hyperplasia steadily increased with age, compared with atypical lobular proliferations
(P = 0.04). Of those with atypia on needle biopsy, the overall rate of underlying
carcinoma was 17.5%. After adjustment, older age was associated with a greater risk
of underlying carcinoma (odds ratio: 1.028, 95% confidence interval: 1.003-1.053;
P = 0.03). Of those confirmed to have atypia on surgical excision, the overall rate
of a subsequent cancer diagnosis was 15.7%. Age was not associated with a long-term
risk for breast cancer (P = 0.48) or the time to a subsequent diagnosis of carcinoma
(log-rank P = 0.41). CONCLUSIONS:Although atypia diagnosed on needle biopsy may be
sufficient to warrant surgical excision, older women may be at a greater risk for
an underlying carcinoma, albeit the long-term risk for malignancy associated with
atypia does not appear to be affected by age.
Type
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https://hdl.handle.net/10161/19537Published Version (Please cite this version)
10.1016/j.jss.2019.03.047Publication Info
Sergesketter, Amanda R; Thomas, Samantha M; Fayanju, Oluwadamilola M; Menendez, Carolyn
S; Rosenberger, Laura H; Greenup, Rachel A; ... Plichta, Jennifer K (2019). The Influence of Age on the Histopathology and Prognosis of Atypical Breast Lesions.
The Journal of surgical research, 241. pp. 188-198. 10.1016/j.jss.2019.03.047. Retrieved from https://hdl.handle.net/10161/19537.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Oluwadamilola Motunrayo Fayanju
Associate Professor of Surgery
Dr. Fayanju is an Associate Professor of Surgery and Population Health Sciences in
the Duke University School of Medicine, Associate Director for Disparities & Value
in Healthcare with Duke Forge (the university’s center for actionable data science:
https://forge.duke.edu/oluwadamilola-fayanju-md-ma-mphs), and Director of the Durham
VA Breast Clinic. She received her undergraduate degree in History and
Rachel Adams Greenup
Associate Professor of Surgery
Dr. Greenup is an Associate Professor of Surgery and Population Health Sciences at
the Duke School of Medicine and Duke Cancer Institute. She is the founder and co-director
of the Duke Breast Cancer Outcomes Research Group, and Core Faculty for the Duke Margolis
Center for Health Policy.
She earned her undergraduate degrees in Zoology and Psychology at the University of
Wisconsin, where she later completed a Masters in Public Health. She attended the
Medical College of Wisconsin for M
Eun-Sil Shelley Hwang
Mary and Deryl Hart Distinguished Professor of Surgery, in the School of Medicine
Terry Hyslop
Adjunct Professor in the Department of Biostatistics & Bioinformatics
Carolyn Sue Menendez
Assistant Professor of Surgery
Jennifer K Plichta
Associate Professor of Surgery
Dr. Jennifer Plichta is an Associate Professor of Surgery & Population Health Sciences
at Duke University. She serves as the Director of the Breast Risk Assessment Clinic
in the Duke Cancer Institute, where she cares for patients with breast cancer, benign
breast problems, and those with an increased risk of breast cancer. Her clinical interests
include establishing routine breast cancer risk assessment for women and creating
personalized management strategies for those found to be &ldquo
Laura Horst Rosenberger
Associate Professor of Surgery
Amanda Sergesketter
House Staff
Samantha Thomas
Biostatistician, Principal
Samantha is the manager of the Duke Cancer Institute (DCI) Biostatistics Shared Resource.
Collaboratively, she primarily works with physicians in DCI, specifically in research
of Endocrine Neoplasia and Breast Cancer. She is also the director of the Biostatistics,
Epidemiology, Research, and Design Methods (BERD) Core Training and Internship Program
(BCTIP). Her professional experience involves study design, analysis, and reporting
of clinical trials and observational studies. Her specific areas
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