Ashley M Henneghan1, Oxana Palesh2, Michelle Harrison3, Shelli R Kesler4. 1. University of Texas MD Anderson Cancer Center, Neuro-Oncology, USA; University of Texas at Austin School of Nursing, USA. Electronic address: ahenneghan@mdanderson.org. 2. Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford University Cancer Institute, USA. 3. University of Texas at Austin, Department of Kinesiology, USA. 4. University of Texas MD Anderson Cancer Center, Neuro-Oncology, USA.
Abstract
INTRODUCTION: The 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. METHODS: Cross 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. RESULTS: A 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. CONCLUSIONS: Our findings are unique to the field of CRCI and suggest non-linear cytokine specificity to neural networks underlying cognitive functions assessed in this study.
INTRODUCTION: The 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. METHODS: Cross 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. RESULTS: A 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. CONCLUSIONS: Our findings are unique to the field of CRCI and suggest non-linear cytokine specificity to neural networks underlying cognitive functions assessed in this study.
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