Metabolomic profiling of retinoblastoma (MPR)

项目摘要 吸烟与胚胎性肿瘤研究是一项以人群为基础的视网膜母细胞瘤研究。 在加州的孩子中。加州拥有独特的资源：1）人口众多，允许足够的病例 研究罕见癌症的疾病; 2）储存国家提供用于研究的新生儿血点; 及3）自一九八八年起推行的癌症资料统计。我们有近十年的研究经验， 在加州和全世界视网膜母细胞瘤的流行病学和研究环境和饮食暴露。 利用加州烟草相关疾病研究计划的资金，我们以前进行了广泛的- 生物样本的代谢组学研究，以检测498例病例和895例对照组的烟草使用生物标志物。我们 我建议结合我们在视网膜母细胞瘤方面的专业知识，以新的创新方式利用这些数据 流行病学与琼斯博士实验室的资源，以确定代谢组学暴露标志物， 儿童视网膜母细胞瘤的潜在疾病生物标志物。代谢组学数据分析将在 有针对性的和非有针对性的方式，以确定和量化一些产前暴露及其 新生儿血斑中的代谢物。这种新的方法将被用来确定暴露和疾病 来自人体代谢途径和环境暴露中代谢物的“特征”。这将帮助我们测试 关于母体暴露的现有假设并产生新的假设（例如饮食、环境暴露），以及 影响后代癌症发展的代谢状态。我们希望这项申请能鼓励 环境政策，并提供基于人口的癌症预防战略。

Project Abstract The Smoking and Embryonal Tumor (SETs) study is a population-based study of retinoblastoma among California children. California has unique resources: 1) a large population allowing for sufficient cases of disease to study rare cancers; 2) stored neonatal blood spots that the state makes available for research; and 3) a Cancer Registry operating since 1988. We have almost a decade of experience studying the epidemiology of retinoblastoma in California and worldwide and studying environmental and dietary exposures. Using funding from California’s Tobacco-Related Disease Research Program, we previously conducted broad- scale metabolomics of biosamples to examine biomarkers of tobacco use in 498 cases and 895 controls. We propose to employ these data in a new and innovative manner combining our expertise in retinoblastoma epidemiology with the resources in Dr. Jones’ laboratory to identify metabolomics exposure markers and potential disease biomarkers for pediatric retinoblastoma. Metabolomics data analyses will be conducted in a targeted as well as untargeted manner to identify and quantify a number of prenatal exposures and their metabolites in neonatal blood spots. This novel approach will be used to identify exposure and disease ‘signatures’ from metabolites in human metabolic pathways and environmental exposures. This will help us test existing and generate new hypotheses about maternal exposures (e.g. diet, environmental exposures) and metabolic states that affect cancer development in the offspring. We expect this application to encourage environmental policies and provide strategies for population-based prevention of cancer.