Gene Expression Profiling of Evening Fatigue in Women Undergoing Chemotherapy for Breast Cancer. Academic Article uri icon

Overview

abstract

  • Moderate-to-severe fatigue occurs in up to 94% of oncology patients undergoing active treatment. Current interventions for fatigue are not efficacious. A major impediment to the development of effective treatments is a lack of understanding of the fundamental mechanisms underlying fatigue. In the current study, differences in phenotypic characteristics and gene expression profiles were evaluated in a sample of breast cancer patients undergoing chemotherapy (CTX) who reported low (n = 19) and high (n = 25) levels of evening fatigue. Compared to the low group, patients in the high evening fatigue group reported lower functional status scores, higher comorbidity scores, and fewer prior cancer treatments. One gene was identified as upregulated and 11 as downregulated in the high evening fatigue group. Gene set analysis found 24 downregulated and 94 simultaneously up- and downregulated pathways between the two fatigue groups. Transcript origin analysis found that differential expression (DE) originated primarily from monocytes and dendritic cell types. Query of public data sources found 18 gene expression experiments with similar DE profiles. Our analyses revealed that inflammation, neurotransmitter regulation, and energy metabolism are likely mechanisms associated with evening fatigue severity; that CTX may contribute to fatigue seen in oncology patients; and that the patterns of gene expression may be shared with other models of fatigue (e.g., physical exercise and pathogen-induced sickness behavior). These results suggest that the mechanisms that underlie fatigue in oncology patients are multifactorial.

publication date

  • March 8, 2016

Research

keywords

  • Antineoplastic Agents
  • Breast Neoplasms
  • Circadian Rhythm
  • Fatigue
  • Gene Expression Profiling

Identity

PubMed Central ID

  • PMC5575784

Scopus Document Identifier

  • 84973879211

Digital Object Identifier (DOI)

  • 10.1177/1099800416629209

PubMed ID

  • 26957308

Additional Document Info

volume

  • 18

issue

  • 4