Identifying cytokine predictors of cognitive functioning in breast cancer survivors up to 10 years post chemotherapy using machine learning

Abstract

IntroductionThe purpose of this study is to explore 13 cytokine predictors of chemotherapy-related cognitive impairment (CRCI) in breast cancer survivors (BCS) 6 months to 10 years after chemotherapy completion using a multivariate, non-parametric approach. MethodsCross sectional data collection included completion of a survey, cognitive testing, and non-fasting blood from 66 participants. Data were analyzed using random forest regression to identify the most significant predictors for each of the cognitive test scores. ResultsA different cytokine profile predicted each cognitive test. Adjusted R2 for each model ranged from 0.71–0.77 (p's < 9.50–10). The relationships between all the cytokine predictors and cognitive test scores were non-linear. ConclusionsOur findings are unique to the field of CRCI and suggest non-linear cytokine specificity to neural networks underlying cognitive functions assessed in this study.