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

J Neuroimmunol. 2018 Jul 15:320:38-47. doi: 10.1016/j.jneuroim.2018.04.012. Epub 2018 Apr 19.

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.

Keywords: Breast cancer survivors; Chemotherapy-related cognitive impairment; Cytokines; Machine learning; Random forest regression.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Antineoplastic Agents / adverse effects*
  • Breast Neoplasms* / drug therapy
  • Breast Neoplasms* / immunology
  • Cancer Survivors
  • Cognitive Dysfunction / immunology*
  • Cross-Sectional Studies
  • Cytokines* / blood
  • Female
  • Humans
  • Machine Learning*
  • Middle Aged

Substances

  • Antineoplastic Agents
  • Cytokines