Barrett's Esophagus Translational Research Network Coordinating Center

点击翻译按钮获取中文摘要

The Barrett's Esophagus Translational Research Network (BETRNet) has been proposed to reduce the incidence, morbidity, and mortality of esophageal adenocarcinoma (EA), through answering key questions related to the progression of this disease, especially in the premalignant stage. The Vanderbilt-lngram Cancer Center BETRNet Coordinating Center (VICC-BETRNetCC) will have a central role to play in facilitating these scientific advances, by achieving the following specific aims: 1. Ensure smooth functioning of the entire BETRNet, especially with regard to interaction among research centers. To achieve this goal, the coordinating center will provide leadership, logistical, and administrative support for cross-network communication and interaction; establish BETRNet working groups and subcommittees to provide expertise in various areas relevant to the needs of BETRNet investigators; and facilitate communication between BETRNet research centers and the NCI. 2. Facilitate data collection, management, analysis, and dissemination across the BETRNet. The coordinating center wiil provide infrastructure for data collection and storage, at the silver or gold level of caBIG compatibility. The center also will develop mechanisms to ensure that institutions across the BETRNet remain informed of the data and resources available within the network, as these data and resources continue to be developed through trans-disciplinary research. Moreover, the coordinating center will be available to assist with study design and statistical analysis across the research network, especially with regard to high-dimensional omics studies, including the latest technologies (e.g., RNAseq). 3. Develop a multi-institutional patient registry to house clinical, longitudinal, and epidemiological data, as well as datasets relevant to biospecimens available at each BETRNet site. 4. Develop and apply evaluation metrics for the BETRNet. Results of this evaluation will allow for mid-course corrections, to help maximize research productivity and efficiency within the BETRNet initiative.