Advancing the Science of Symptom Management in Oncology Patients

描述(由申请人提供)：这项资助申请的重点有两个：促进症状管理科学的发展和指导下一代症状管理研究的科学家。这项赠款申请中的研究计划侧重于评估因癌症和/或其治疗(即疼痛、疲劳、睡眠障碍、抑郁、焦虑)而出现的五种常见症状的轨迹的异同。使用新的纵向数据分析方法(即分层线性建模、生长混合建模)，这些症状的表型和基因预测因子将通过六项由美国国立卫生研究院资助的研究进行评估。这项拨款申请中提出的研究将提供关于这些常见疾病预测因素的相似和不同之处的关键信息 具有不同癌症诊断的肿瘤学患者的症状，他们经历了不同的癌症治疗，以及处于疾病轨迹的不同阶段。这项资助申请中的指导计划旨在教育和培训症状管理研究方面的博士后学生、博士后研究员、临床和研究研究员以及初级和高级教职员工。所有的受训者将被纳入PI的跨学科研究团队，以便能够沉浸在症状管理研究中。PI以前和正在进行的研究的表型和基因数据将提供给这些受试者，并将提供关于如何利用新的纵向数据分析方法和基因组数据来确定表型和基因特征的教育和培训，这些表型和基因特征可以预测肿瘤患者更高水平的疼痛、疲劳、睡眠障碍、抑郁和焦虑。从这些研究和指导活动中获得的知识将用于指导下一代症状管理干预研究的发展。

DESCRIPTION (provided by applicant): The foci for this grant application are twofold: advancing the science of symptom management and mentoring the next generation of scientists in symptom management research. The research plan in this grant application is focused on an evaluation of similarities and differences in the trajectories of five common symptoms that occur as a result of cancer and/or its treatments (i.e., pain, fatigue, sleep disturbance, depression, anxiety). Using novel methods of longitudinal data analysis (i.e., hierarchical linear modeling, growth mixture modeling), the phenotypic and genotypic predictors of each of these symptoms will be evaluated across six NIH-funded studies. The research proposed in this grant application will provide critical information on similarities and differences in the predictors of these common symptoms in oncology patients with a variety of cancer diagnoses, who underwent different cancer treatments, and who are at different stages in their disease trajectory. The mentoring plan in this grant application is designed to educate and train predoctoral students, postdoctoral fellows, clinical and research fellows, and junior and senior faculty members in symptom management research. All of the mentees will be incorporated into the PI's transdisciplinary research team to be able to immerse themselves in symptom management research. Phenotypic and genotypic data from the PI's previous and ongoing studies will be available to these mentees and education and training will be provided on how to utilize newer methods of longitudinal data analysis as well as genomic data to determine the phenotypic and genotypic characteristics that predict higher levels of pain, fatigue, sleep disturbance, depression, and anxiety in oncology patients. The knowledge gained from these research and mentorship activities will be used to guide the development of the next generation of symptom management intervention studies.