权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Pancreatic cancer survival analysis with SEER and active follow-up in SF Bay Area

通过 SEER 进行胰腺癌生存分析并积极随访旧金山湾区

基本信息

批准号：
7289320
负责人：
ELIZABETH A. HOLLY
金额：
$ 7.48万
依托单位：
UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
依托单位国家：
美国
项目类别：
财政年份：
2006
资助国家：
美国
起止时间：
2006-09-20 至 2009-08-31
项目状态：
已结题

项目摘要

DESCRIPTION (provided by applicant): Pancreatic cancer survival analysis with SEER and active follow-up in SF Bay Area Each year >30,000 incident cases of pancreatic cancer (PC) are diagnosed in the U.S. with nearly an equivalent number of PC deaths. Survival is dismal; 75% of patients die within one year and <4% survive greater than or equal to 5 years. No studies have been published that determine the relationship between environmental factors (non-clinical) and survival in population-based PC patients, nor have population-based studies conducted complete and active follow-up of all PC patients in a defined SEER area that includes a range of diverse populations. Using active surveillance beyond that done by SEER, we will determine an accurate population-based relative survival rate for nearly 2000 PC patients diagnosed from 1995 to 1999 who were identified through the Northern California SEER registry as part of a large population-based case-control study of PC in 6 San Francisco Bay Area counties. We will: 1. using clinical and demographic data reported on SEER abstracts and active surveillance, compare relative survival rates between interviewed and non-interviewed PC patients; 2. determine and describe risk factor data collected during in-person interviews in the main study that are associated with survival and; 3. conduct a descriptive analysis of long-term survivors identified through our active follow-up of patient vital status. The application strengths are: 1. follow-up of all patients who are alive or lost to follow-up per SEER abstract to obtain current and complete vital statistics that will allow us to compute a relative survival rate that is more accurate than that based on SEER abstract vital status data alone; 2. the ability to conduct survival analyses in interviewed patients using epidemiologic exposure data and SEER data; 3. the ability to describe the association between survival and some genetic and molecular factors in interviewed patients; 4. the ability to collect follow-up pathological, clinical and epidemiologic data from long-term PC survivors and; 5. thorough survival analyses such as these never have been conducted for PC. Our results will provide new, unique data about exposures and conditions that are associated with or predictive of survival duration in PC patients. This knowledge may be translated to screening and prevention strategies and for hypothesis generation. This work also will be a foundation for a survivorship registry to collect clinical, pathological, epidemiological and family history data that currently is unavailable for PC.

描述(申请人提供)：使用SEER进行的胰腺癌生存分析和SF Bay地区的积极随访每年在美国诊断出30,000例胰腺癌(PC)病例，死亡人数几乎与PC相同。存活率很低；75%的患者在一年内死亡，4%的患者存活时间大于或等于5年。还没有发表研究确定环境因素(非临床)与基于人群的PC患者的存活率之间的关系，也没有基于人群的研究在包括一系列不同人群的特定SEER区域对所有PC患者进行完整和积极的随访。使用SEER之外的主动监测，我们将确定1995至1999年间通过北加州SEER登记确诊的近2000名PC患者的准确基于人群的相对存活率，这些患者是旧金山湾区6个县基于人群的PC病例对照研究的一部分。我们将：1.使用SEER摘要和积极监测报告的临床和人口学数据，比较受访和未受访的PC患者之间的相对存活率；2.在主要研究中确定和描述在面对面访谈中收集的与生存相关的风险因素数据；3.通过我们对患者生命状态的积极跟踪，对长期存活者进行描述性分析。应用程序的优点是：1.根据SEER摘要对所有活着或失踪的患者进行随访，以获得当前和完整的生命统计数据，使我们能够计算出比仅基于SEER抽象生命状态数据更准确的相对存活率；2.使用流行病学暴露数据和SEER数据对受访患者进行生存分析的能力；3.描述受访患者的生存与某些遗传和分子因素之间的联系的能力；4.从长期PC幸存者和；5.从来没有对个人计算机进行过这样彻底的生存分析。我们的结果将提供与PC患者生存时间相关或预测生存时间的暴露和条件的新的、独特的数据。这些知识可以转化为筛查和预防策略，并用于假设生成。这项工作也将是幸存者登记的基础，以收集目前PC无法获得的临床、病理、流行病学和家族史数据。