Vermont Administrative Core

佛蒙特州行政核心

基本信息

批准号：
8715713
负责人：
Brian L Sprague
金额：
$ 15.39万
依托单位：
UNIVERSITY OF VERMONT & ST AGRIC COLLEGE
依托单位国家：
美国
项目类别：
财政年份：
2014
资助国家：
美国
起止时间：
2014-06-01 至 2016-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8715713
关键词：
Administrative Coordination Adverse effects Area Breast Breast Cancer Detection Clinical Collaborations Communication Communities Community Practice Data Data Collection Data Sources Disease Ensure Epidemiology Foundations Funding Grant Health Promotion Health Services Research Image Lead Life Malignant Neoplasms Molecular National Cancer Institute Noninfiltrating Intraductal Carcinoma Outcome Pathology Patients Population Process Prognostic Marker Radiology Specialty Recording of previous events Research Risk Risk Factors Scientist Site Staging Structure System Training United States Universities Vermont Vital Status Woman Work cancer therapy comparative effectiveness data sharing experience improved malignant breast neoplasm models and simulation mortality multidisciplinary novel oncology population based programs public health research screening success tumor microenvironment

项目摘要

Breast cancer screening has led to substantial reductions in breast cancer mortality in the United States over the past 30 years, but not without unintended harms and shortcomings. Comprehensive, population-based, longitudinal data on the entire screening process can evaluate current screening practices and recommend improvements. The Vermont Prosper Research Center (VPRC) proposes to continue and extend the work of the Vermont Breast Cancer Surveillance System (VBCSS), which has 16 years of experience in collecting Integrated patient risk factor, breast imaging, pathology, treatment, cancer outcome and vital status data. Our first aim is to document the entire breast cancer screening process In community practice across the state of Vermont. The new data collected will add to our 16 years of longitudinal data, which provide the foundation for our proposed research program, data sharing with the Statistical Coordination Center, and collaborations with other PROSPR sites. Second, we will pursue a research program that improves the screening process by developing prognostic markers that can be used to develop personalized management strategies for ductal carcinoma in situ (DCIS). Using longitudinal data on approximately 1400 DCIS cases from the VBCSS, we will seek to identify novel molecular, morphologic, radiologic, and tumor microenvironment markers that can stratify DCIS patients by risk of progression to invasive disease. Our comparative effectiveness analyses will provide a framework by which new DCIS prognostic markers can be evaluated for their potential impacts on the benefits and harms of screening. Third, we will conduct collaborative research with other PROSPR Research Centers, the PROSPR Statistical Coordination Center, the National Cancer Institute, and the larger research community. Our multidisciplinary team of experienced basic, clinical, and population scientists will lead and participate in trans-Network initiatives and ensure the dissemination of our data and study findings. Accomplishment of these aims will provide a rich source of data for use in evaluating and improving current breast cancer screening processes. Success in our research program will fill an urgent need for identification of DCIS prognostic markers that could enable personalized management strategies.

乳腺癌筛查使美国乳腺癌死亡率大幅下降过去 30 年来，各国的做法并非没有意外的危害和缺点。综合的，整个筛查过程中基于人群的纵向数据可以评估当前的筛查实践并提出改进建议。佛蒙特州繁荣研究中心 (VPRC) 建议继续并扩大佛蒙特州乳腺癌监测系统 (VBCSS) 的工作，该系统已有 16 年的历史收集综合患者危险因素、乳腺影像、病理、治疗、癌症结果的经验和生命状态数据。我们的首要目标是记录社区中的整个乳腺癌筛查过程在佛蒙特州各地进行实践。收集到的新数据将添加到我们 16 年的纵向数据中，这为我们提出的研究计划、与统计局的数据共享奠定了基础协调中心，以及与其他 PROSPR 站点的合作。其次，我们将进行研究通过开发可用于开发的预后标志物来改进筛查过程的计划导管原位癌（DCIS）的个性化管理策略。使用纵向数据大约 1400 个来自 VBCSS 的 DCIS 病例，我们将寻求识别新的分子、形态学、放射学和肿瘤微环境标记物可以根据进展风险对 DCIS 患者进行分层侵袭性疾病。我们的比较有效性分析将提供一个框架，新的 DCIS 可以通过该框架可以评估预后标志物对筛查益处和危害的潜在影响。第三，我们将与其他PROSPR研究中心进行合作研究，PROSPR统计协调中心、国家癌症研究所和更大的研究团体。我们的多学科由经验丰富的基础、临床和人口科学家组成的团队将领导和参与跨网络倡议并确保传播我们的数据和研究结果。这些目标的实现将提供丰富的数据源，用于评估和改进当前的乳腺癌筛查过程。我们的研究计划的成功将满足鉴定 DCIS 预后标志物的迫切需求，这些标志物可以实现个性化管理策略。