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Probability of Alzheimer's disease in breast cancer survivors based on gray‐matter structural network efficiency
Author(s) -
Kesler Shelli R.,
Rao Vikram,
Ray William J.,
Rao Arvind
Publication year - 2017
Publication title -
alzheimer's and dementia: diagnosis, assessment and disease monitoring
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.497
H-Index - 37
ISSN - 2352-8729
DOI - 10.1016/j.dadm.2017.10.002
Subject(s) - breast cancer , medicine , oncology , chemotherapy , disease , apolipoprotein e , cancer
Breast cancer chemotherapy is associated with accelerated aging and potentially increased risk for Alzheimer's disease (AD). Methods We calculated the probability of AD diagnosis from brain network and demographic and genetic data obtained from 47 female AD converters and 47 matched healthy controls. We then applied this algorithm to data from 78 breast cancer survivors. Results The classifier discriminated between AD and healthy controls with 86% accuracy ( P  < .0001). Chemotherapy‐treated breast cancer survivors demonstrated significantly higher probability of AD compared to healthy controls ( P  < .0001) and chemotherapy‐naïve survivors ( P  = .007), even after stratifying for apolipoprotein e4 genotype. Chemotherapy‐naïve survivors also showed higher AD probability compared to healthy controls ( P  = .014). Discussion Chemotherapy‐treated breast cancer survivors who have a particular profile of brain structure may have a higher risk for AD, especially those who are older and have lower cognitive reserve.

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