Kober Kord M, Dunn Laura, Mastick Judy, Cooper Bruce, Langford Dale, Melisko Michelle, Venook Alan, Chen Lee-May, Wright Fay, Hammer Marilyn, Schmidt Brian L, Levine Jon, Miaskowski Christine, Aouizerat Bradley E
School of Nursing, University of California, San Francisco, CA, USA.
School of Medicine, University of California, San Francisco, CA, USA.
Biol Res Nurs. 2016 Jul;18(4):370-85. doi: 10.1177/1099800416629209. Epub 2016 Mar 8.
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.
高达94%正在接受积极治疗的肿瘤患者会出现中度至重度疲劳。目前针对疲劳的干预措施效果不佳。有效治疗方法发展的一个主要障碍是对疲劳潜在基本机制缺乏了解。在当前研究中,对一组接受化疗(CTX)的乳腺癌患者样本进行了表型特征和基因表达谱差异评估,这些患者报告了低水平(n = 19)和高水平(n = 25)的夜间疲劳。与低水平组相比,高夜间疲劳组的患者报告的功能状态评分更低、合并症评分更高,且既往接受的癌症治疗次数更少。在高夜间疲劳组中,一个基因被鉴定为上调,11个基因被鉴定为下调。基因集分析发现两个疲劳组之间有24条下调途径以及94条同时上调和下调的途径。转录本起源分析发现差异表达(DE)主要源自单核细胞和树突状细胞类型。查询公共数据源发现了18个具有相似DE谱的基因表达实验。我们的分析表明,炎症、神经递质调节和能量代谢可能是与夜间疲劳严重程度相关的机制;化疗可能导致肿瘤患者出现疲劳;并且基因表达模式可能与其他疲劳模型(如体育锻炼和病原体诱导的疾病行为)相同。这些结果表明,肿瘤患者疲劳的潜在机制是多因素的。