Eshragh Jasmine, Dhruva Anand, Paul Steven M, Cooper Bruce A, Mastick Judy, Hamolsky Deborah, Levine Jon D, Miaskowski Christine, Kober Kord M
School of Nursing, University of California, San Francisco, California, USA.
School of Medicine, University of California, San Francisco, California, USA.
J Pain Symptom Manage. 2017 Jan;53(1):67-84.e7. doi: 10.1016/j.jpainsymman.2016.08.004. Epub 2016 Oct 5.
Fatigue is a common problem in oncology patients. Less is known about decrements in energy levels and the mechanisms that underlie both fatigue and energy.
In patients with breast cancer, variations in neurotransmitter genes between lower and higher fatigue latent classes and between the higher and lower energy latent classes were evaluated.
Patients completed assessments before and monthly for six months after surgery. Growth mixture modeling was used to identify distinct latent classes for fatigue severity and energy levels. Thirty candidate genes involved in various aspects of neurotransmission were evaluated.
Eleven single-nucleotide polymorphisms or haplotypes (i.e., ADRB2 rs1042718, BDNF rs6265, COMT rs9332377, CYP3A4 rs4646437, GALR1 rs949060, GCH1 rs3783642, NOS1 rs9658498, NOS1 rs2293052, NPY1R Haplotype A04, SLC6A2 rs17841327, and 5HTTLPR + rs25531 in SLC6A4) were associated with latent class membership for fatigue. Seven single-nucleotide polymorphisms or haplotypes (i.e., NOS1 rs471871, SLC6A1 rs2675163, SLC6A1 Haplotype D01, SLC6A2 rs36027, SLC6A3 rs37022, SLC6A4 rs2020942, and TAC1 rs2072100) were associated with latent class membership for energy. Three of 13 genes (i.e., NOS1, SLC6A2, and SLC6A4) were associated with latent class membership for both fatigue and energy.
Molecular findings support the hypothesis that fatigue and energy are distinct, yet related symptoms. Results suggest that a large number of neurotransmitters play a role in the development and maintenance of fatigue and energy levels in breast cancer patients.
疲劳是肿瘤患者常见的问题。关于能量水平的下降以及疲劳和能量背后的机制,人们了解得较少。
在乳腺癌患者中,评估疲劳程度较低和较高的潜在类别之间以及能量水平较高和较低的潜在类别之间神经递质基因的差异。
患者在手术前及术后六个月每月进行一次评估。采用生长混合模型来确定疲劳严重程度和能量水平的不同潜在类别。对涉及神经传递各个方面的30个候选基因进行了评估。
11个单核苷酸多态性或单倍型(即ADRB2 rs1042718、BDNF rs6265、COMT rs9332377、CYP3A4 rs4646437、GALR1 rs949060、GCH1 rs3783642、NOS1 rs9658498、NOS1 rs2293052、NPY1R单倍型A04、SLC6A2 rs17841327以及SLC6A4中的5HTTLPR + rs25531)与疲劳的潜在类别归属相关。7个单核苷酸多态性或单倍型(即NOS1 rs471871、SLC6A1 rs2675163、SLC6A1单倍型D01、SLC6A2 rs36027、SLC6A3 rs37022、SLC6A4 rs2020942以及TAC1 rs2072100)与能量的潜在类别归属相关。13个基因中的3个(即NOS1、SLC6A2和SLC6A4)与疲劳和能量的潜在类别归属均相关。
分子研究结果支持疲劳和能量是不同但相关症状的假设。结果表明,大量神经递质在乳腺癌患者疲劳和能量水平的发生及维持中起作用。