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Associations between candidate cytokine genes and sleep disturbances among two latent classes of breast cancer patients prior to and following treatment.

机译:在治疗前后,两种潜在的乳腺癌患者中候选细胞因子基因与睡眠障碍之间的关联。

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摘要

Objective: The study purposes were to attempt to replicate the association found in our previous study of patients and family caregivers 1 between IL6 and sleep disturbance and to identify additional genetic associations in a larger sample of patients with breast cancer.;Design: Descriptive, longitudinal study.;Setting: Patients were recruited from breast care centers located in a Comprehensive Cancer Center, two public hospitals, and four community practices.;Participants: Women (n=398) with breast cancer who had surgery on one breast with no distant metastasis.;Measurements: Questionnaires including the Karnofsky Performance Status (KPS) scale and Self-Administered Comorbidity Questionnaire (SCQ). The 21-item General Sleep Disturbance Scale (GSDS) was used to assess sleep disturbance prior to surgery and monthly for 6 months.;Results: Patients who were younger, had lower KPS scores, and more comorbidities were more likely to be in the high sleep disturbance class. Variations in three cytokine genes (i.e., Interleukin 13, Nuclear Factor Kappa Beta 2, and Interleukin 1 receptor 2) predicted latent class membership.;Conclusions: Genetic markers may partially explain inter-individual variability among symptom trajectories. Determination of a high risk phenotype and associated genotypes allows for earlier identification of patients at higher risk for developing sleep disturbance and other behavioral symptoms leading to the development of more targeted clinical interventions.;Key words: Sleep disturbance, breast cancer, cytokine genes, growth mixture modeling, latent class, symptom trajectories.
机译:目的:本研究的目的是试图复制我们先前在患者和家庭护理人员1的研究中发现的IL6与睡眠障碍之间的关联,并在更大的乳腺癌患者样本中鉴定其他遗传关联。设计:描述性,纵向研究;背景:患者是从位于综合癌症中心,两家公立医院和四家社区诊所的乳腺癌护理中心招募的;参与者:患有乳腺癌的女性(n = 398),其一位乳房接受了无远处转移的手术。;测量:问卷调查,包括卡诺夫斯基绩效状态量表(KPS)和自我管理合并症调查表(SCQ)。使用21个项目的一般睡眠障碍量表(GSDS)评估术前和每月6个月的睡眠障碍;结果:年轻,KPS评分较低且合并症更多的患者睡眠障碍类。三种细胞因子基因(即白介素13,核因子Kappa Beta 2和白介素1受体2)的变异预测了潜在的类成员。;结论:遗传标记可能部分解释了症状轨迹之间的个体差异。确定高风险表型和相关基因型可以更早地识别出有发生睡眠障碍和其他行为症状的较高风险的患者,从而导致有针对性的临床干预措施的发展。关键词:睡眠障碍,乳腺癌,细胞因子基因,生长混合建模,潜在类别,症状轨迹。

著录项

  • 作者

    Alfaro, Emely.;

  • 作者单位

    University of California, San Francisco.;

  • 授予单位 University of California, San Francisco.;
  • 学科 Biology Genetics.;Health Sciences Nursing.;Health Sciences Oncology.
  • 学位 M.S.
  • 年度 2012
  • 页码 41 p.
  • 总页数 41
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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