Probability of Alzheimer's disease in breast cancer survivors based on gray-matter structural network efficiency.

ABSTRACT:

Introduction

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 als

SUBMITTER: Kesler SR 

PROVIDER: S-EPMC5700833 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature