Kleckner Amber S, Mocci Evelina, Clingan Carin L, Youngblood Shari M, Rosenblatt Paula Y, Tkaczuk Katherine H R, Kleckner Ian R, Dorsey Susan G
Department of Pain and Translational Symptom Science, University of Maryland School of Nursing, Baltimore, Maryland, USA.
University of Maryland Marlene and Stewart Greenebaum Comprehensive Cancer Center, Baltimore, Maryland, USA.
Eur J Cancer Care (Engl). 2025 Jan;2025. doi: 10.1155/ecc/1092518. Epub 2025 Jun 5.
Cancer-related fatigue is a multifactorial condition that affects most people undergoing chemotherapy. To elucidate potential biological underpinnings of fatigue, this study tested correlations between patient-reported fatigue and (1) functional measures and (2) transcriptomics of whole blood.
Women undergoing chemotherapy were recruited to a cross-sectional study. Participants reported subjective fatigue on the Functional Assessment for Chronic Illness Therapy-Fatigue (FACIT-F) and Brief Fatigue Inventory (BFI) questionnaires. Participants completed upper- and lower-body functional assessments as an objective fatigability measure. Fasted blood samples were analyzed for complete blood counts (CBCs) to quantify cell type, and RNA-Seq on whole blood was investigated for a distinct transcriptional signature in patients with high vs. low fatigue. Principal component analysis revealed that transcriptomic profiles clustered based on the neutrophil level, lymphocyte level, and several other clinical factors, which were accounted for when assessing differentially expressed genes.
Participants had breast ( = 29) or uterine ( = 1) cancer, were 53.4 ± 13.5 years old, and identified as Black/African American (56%) or White (44%). Hand grip strength, static fatigue index, and sit-to-stand assessments were not associated with FACIT-F fatigue subscale responses. From RNA-Seq data, higher fatigue was associated with fewer transcripts ( = 4.1-3) and more transcripts ( = 8.2-3). Unbiased gene ontology/pathway analyses revealed perturbed biological processes in mitochondrial function, chiefly aerobic respiration (normalized effect size [ES] = -2.1), electron transport chain (ES = -1.9), generation of precursor metabolites and energy (ES = -1.8), and fatty acid oxidation (ES = -2.0), which tended to be downregulated among participants with more fatigue. Cellular components analyses consistently showed downregulation of mitochondrial proteins among those with higher fatigue (ESs = -1.7--2.2). Future studies should investigate dietary, physical activity, and/or pharmaceutical interventions to optimize the efficiency of mitochondrial energy production during treatment to mitigate fatigue.
癌症相关疲劳是一种多因素病症,影响着大多数接受化疗的患者。为了阐明疲劳潜在的生物学基础,本研究测试了患者报告的疲劳与(1)功能指标以及(2)全血转录组学之间的相关性。
招募接受化疗的女性参与一项横断面研究。参与者通过慢性疾病治疗功能评估-疲劳量表(FACIT-F)和简明疲劳量表(BFI)问卷报告主观疲劳情况。参与者完成上半身和下半身功能评估,作为客观疲劳易感性指标。采集空腹血样进行全血细胞计数(CBC)以量化细胞类型,并对全血进行RNA测序,以研究高疲劳与低疲劳患者之间独特的转录特征。主成分分析表明,转录组图谱根据中性粒细胞水平、淋巴细胞水平和其他几个临床因素聚类,在评估差异表达基因时已考虑这些因素。
参与者患有乳腺癌(n = 29)或子宫癌(n = 1),年龄为53.4 ± 13.5岁,其中黑人/非裔美国人占56%,白人占44%。握力、静态疲劳指数和从坐到站的评估与FACIT-F疲劳分量表反应无关。从RNA测序数据来看,较高的疲劳程度与较少的[具体基因1]转录本(n = 4.1 - 3)和较多的[具体基因2]转录本(n = 8.2 - 3)相关。无偏基因本体/通路分析显示线粒体功能中的生物过程受到干扰,主要是有氧呼吸(标准化效应大小[ES] = -2.1)、电子传递链(ES = -1.9)、前体代谢物和能量的产生(ES = -1.8)以及脂肪酸氧化(ES = -2.0),在疲劳程度较高的参与者中这些过程往往下调。细胞成分分析一致显示,疲劳程度较高者中线粒体蛋白下调(ES = -1.7至-2.2)。未来的研究应调查饮食、体育活动和/或药物干预措施,以优化治疗期间线粒体能量产生的效率,减轻疲劳。