Space-Time Clustering of Testicular Cancer Using Residential Histories

使用居住史进行睾丸癌的时空聚类

• 批准号: 7239785
• 负责人: Geoffrey M. Jacquez
• 金额: $ 18.48万
• 依托单位: BIOMEDWARE
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-07-01 至 2009-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7239785
• 关键词: Accounting; Address; Age; Biological Markers; Birth; Birth Weight; Birth length; Calendar; Cancer Cluster; Cancer Etiology; Case-Control Studies; Cessation of life; Cluster Analysis; Denmark; Developed Countries; Developing Countries; Diagnosis; Environmental Pollution; Epidemic; Epidemiologist; Etiology; Future; General Population; Gestational Age; Histologic; Incidence; Individual; Information Systems; Life; Life Cycle Stages; Link; Location; Malignant neoplasm of testis; Measures; Modeling; Mothers; Norway; Numbers; Participant; Pattern; Population; Pregnancy; Probability; Public Health; Purpose; Rate; Recording of previous events; Registries; Relative (related person); Reporting; Research; Research Project Grants; Residential Mobility; Risk Estimate; Risk Factors; Rosa; Seminoma; Socioeconomic Status; Space-Time Clustering; Techniques; Time; United States Environmental Protection Agency; Work; abstracting; aged; authority; cancer type; case control; case history; case-based; geographic difference; improved; innovation; insight; men; neoplasm registry; novel; residence; statistics; trend

DESCRIPTION (provided by applicant): Space-Time Clustering of Testicular Cancer Using Residential Histories Abstract The primary objective of the proposed research project is to generate insights concerning the etiology of testicular cancer by conducting a large, population-wide case-control study in Denmark investigating space- time clustering of cases and controls using residential histories. Testicular cancer is the most common cause of cancer in men aged 15-34 yet relatively little is known about its etiology. The established and presumptive risk factors, taken as a whole, account for only a small proportion of the total cases of testicular cancer, and novel techniques are needed to solve this public health enigma. Our research team has recently developed Q-statistics and Space-Time Information System (STIS) technology that enable space-time cluster analyses. Other methods for analyzing cancer clusters typically ignore residential mobility, and almost exclusively work with static spatial point distributions of place-of-residence at time of diagnosis or time of death. In addition, few spatial techniques adequately account for known risk factors and covariates. Our approach addresses each of these needs by utilizing the residential history of the participants represented as a life-line, and thus evaluates space-time clustering at any moment in the life-course of the residential histories of the cases relative to the residential histories of the controls. In addition, in place of the widely used (but often inappropriate) null hypothesis of spatial randomness, Q-statistics can incorporate each individual's probability of being a case based on his/her risk factors and covariates. This project will apply the innovative Q-statistics and STIS technology to identify spatial clustering of testicular cancer by comparing the residential histories of the cases with those of the controls. The proposed research will select testicular cancer cases (3100) from the nation-wide Danish Cancer Registry (diagnosed in 1994-2003) and controls (3100, matched on age) from the general population. The cases and controls will be linked with residential history information available in the Danish Central Population Registry and Q-statistics will be implemented to examine clustering. Local authorities and registers at the Danish Environmental Protection Agency will be asked to identify possible patterns of environmental contamination surrounding the most significant clusters to generate hypotheses about environmental causes of testicular cancer. Future research will address such environmental hypotheses by collecting biomarkers and modeling environmental contaminants within an epidemiologic framework. This research will, for the first time ever, allow epidemiologists to assess space-time clusters of testicular cancer using detailed residential histories, with the intended purpose of generating fresh hypotheses about potential etiologic factors associated with testicular cancer to be investigated in future studies. Space-Time Clustering of Testicular Cancer Using Residential Histories Relevance The scientific innovations from this research are expected to dramatically improve our understanding of testicular cancer, the most common type of cancer in men aged 15-34. This research will enable environmental and spatial epidemiologists to investigate spatial clusters of testicular cancer by comparing residential histories of cases with residential histories of controls, with the intended purpose of generating fresh hypotheses concerning the etiology of testicular cancer.

描述（由申请人提供）：使用居民历史的睾丸癌的时空聚类摘要提议的研究项目的主要目的是通过在丹麦进行大型，全部人口的病例对照研究来产生有关睾丸癌病因的见解。使用住宅历史调查病例和对照的时空聚类。睾丸癌是15-34岁男性癌症的最常见原因，但对其病因的了解却相对较少。总体而言，建立和推定的危险因素仅占睾丸癌总病例的一小部分，以及解决这种公共卫生谜的新技术。我们的研究团队最近开发了Q统计和时空信息系统（STIS）技术，可实现时空群集分析。分析癌症簇的其他方法通常忽略了住宅活动能力，几乎只能与诊断或死亡时间的居住地的静态空间分布一起工作。此外，很少有空间技术充分说明已知的危险因素和协变量。我们的方法通过利用参与者的住宅历史来满足这些需求，从而在案件相对于相对于案件的住宅历史的生命历史上的任何时刻评估了时空聚集控件。另外，代替空间随机性的广泛使用（通常不合适的）零假设，Q统计数据可以结合每个人根据其风险因素和协变量的案例的可能性。该项目将应用创新的Q - 统计数据和性传播感染技术来通过比较病例的住宅历史与对照组的遗产历史来确定睾丸癌的空间聚类。拟议的研究将从全国范围内的丹麦癌症注册表（于1994- 2003年诊断）中选择睾丸癌病例（3100），并从一般人群中选择对照（3100，匹配年龄）。这些案件和控制将与丹麦中央人口注册表中可用的住宅历史信息有关，并将实施Q - 统计数据以检查聚类。丹麦环境保护局的地方当局和注册将被要求确定围绕最重要群集的环境污染模式，以产生有关睾丸癌环境原因的假设。未来的研究将通过在流行病学框架内收集生物标志物和建模环境污染物来解决此类环境假设。这项研究将有史以来首次允许流行病学家使用详细的住宅历史评估睾丸癌的时空簇，并有目的目的是产生有关与睾丸癌相关的潜在病因学因素的新鲜假设，这些假设在未来的研究中要研究。使用住宅历史相关的睾丸癌时空聚类，这项研究的科学创新有望显着提高我们对睾丸癌的理解，这是15-34岁男性最常见的癌症类型。这项研究将使环境和空间流行病学家能够通过比较具有对照的住宅历史的病例的住宅历史来研究睾丸癌的空间簇，并旨在产生有关睾丸癌病因的新鲜假设。