Infection and Inflammation in Adult Gliomas

描述（由申请人提供）：我的职业目标是成为一名独立的、有名望的分子流行病学研究人员，专长于与癌症病因和预防相关的病毒和炎症因子。这一目标建立在我以前在流行病学方法和病毒学方面的培训基础上，但需要进一步在免疫学和生物统计学方面的培训。在培训结束后，我将有足够的专业知识和初步的数据来申请资助我在癌症流行病学和预防方面的独立研究。我制定了一个全面的教育和指导计划。我的教育计划将在免疫学和分子流行病学的生物统计方法方面提供密集的指导。我选择了四位导师，他们将监督我的培训和研究的具体部分。Melissa Bondy博士将在分子和遗传流行病学以及癌症预防方面指导我并指导我的职业发展；Thomas Albrecht博士在免疫学和病毒学方面提供指导；Charles Cobbs博士将提供脑解剖学、生理学和神经肿瘤学方面的专业知识；杜金安博士将监督生物统计方法的发展和应用，特别是与微阵列在流行病学研究中的应用有关的方法。我的研究计划将集中在检查病毒和免疫因素在胶质瘤的风险和患者的结果。我建议在Melissa Bondy博士的指导下，利用现有病例对照研究（R01CA070917）的流行病学和遗传标记数据和临床标本的可用性。这项研究目前包括超过1200例胶质瘤病例和对照，主要是白种人，性别，年龄和种族相匹配。我的研究目标是研究成人胶质瘤风险和患者预后的病毒、免疫和遗传因素。具体目标是：1。评估胶质瘤病例和对照组HCMV感染和免疫功能的个体差异标志物。这将增加重要的分子数据，以现有的遗传和流行病学数据的感染和免疫功能的亲本资助。这对于验证自我报告的流行病学数据很重要。2. 利用流行病学和遗传学数据以及感染和免疫功能标志物，对神经胶质瘤风险进行病例对照分析。我将采用多重逻辑回归的方法来模拟神经胶质瘤风险作为遗传、分子和流行病学变量的函数。我将结合基因-环境和基因-基因的相互作用在适当的样本量。3. 目的：确定胶质瘤患者的感染和免疫反应标志物是否与临床结局和总生存率相关。我将采用Cox比例风险回归来模拟与治疗结果和患者总体生存相关的因素。

DESCRIPTION (provided by applicant): My career goal is to become an independent and established researcher in molecular epidemiology with expertise in viral and inflammatory factors related to cancer etiology and prevention. This goal builds upon my previous training in epidemiologic methods and virology, but requires further training in immunology and biostatistics. At the end of this training period, I will have the expertise and preliminary data to submit for funding of my independent research in cancer epidemiology and prevention. I have developed a comprehensive education and mentoring plan. My education plan will provide intensive instruction in the areas of immunology, and biostatistical methods for molecular epidemiology. I have chosen four mentors who will supervise specific portions of my training and research. Dr. Melissa Bondy will mentor me in molecular and genetic epidemiology and cancer prevention and will guide my career development; Dr. Thomas Albrecht provide guidance in immunology and virology; Dr. Charles Cobbs will provide expertise in brain anatomy, physiology, and neuro-oncology; and Dr. Kim-Ann Do will supervise the development and application of biostatistical methods, especially as they related to the use of microarrays in epidemiologic research. My research proposal will focus on examining viral and immunologic factors in glioma risk and patient outcome. I propose to capitalize on the availability of epidemiologic and genetic marker data and clinical specimens from an existing case-control study (R01CA070917) under the direction of Dr. Melissa Bondy. This study currently includes over 1200, mostly Caucasian, glioma cases and controls, matched on sex, age, and ethnicity. My research goal is to examine viral, immunologic, and genetic factors in adult glioma risk and patient outcome. The specific aims are: 1. To assess markers of individual variation to HCMV infection and immune function in glioma cases and controls. This will add important molecular data to the existing genetic and epidemiologic data on infection and immune function from the parent grant. This is important in validating the self-reported epidemiologic data. 2. To perform a case-control analysis of glioma risk utilizing epidemiologic and genetic data and markers of infection and immune function. I will employ the methods of multiple logistic regression to model glioma risk as a function of genetic, molecular, and epidemiologic variables. I will incorporate gene-environment and gene-gene interactions as appropriate given the sample size available. 3. To Determine if markers of infection and immune response are associated with clinical outcome and overall survival in glioma patients. I will employ Cox proportional hazards regression to model factors associated with treatment outcome and overall patient survival.