EDRN--DATA MANAGEMENT AND COORDINATING CENTER

描述：(申请人的描述)新兴的科学技术 探索癌症早期检测和评估在以下领域至关重要 降低癌症死亡率的努力。然而，解决问题的方法 用于癌症早期检测的生物标志物的发展是支离破碎的 而且协调得不好。早期侦察研究网络的冲锋 (EDRN)是发现和协调生物标记物/试剂的评估 癌症的早期发现和风险评估通过 科学协作、知识共享和全面协调 活动。 拟议数据管理和协调中心(DMCC)的总体目标 是为EDRN在 指导委员会的指导，并制定统计和分析 对生物标志物的基础、翻译和临床研究有用的方法 以便及早发现癌症。 在指导委员会的指导下，DMCC将1)执行 建立网络协调，并与其他科学工作者开展合作 通过制定网络运营策略和 程序手册，协助制定和实施 协作研究协议，分析来自协作的数据 研究并为#年的中心研究提供统计咨询 EDRN，开发和维护网页和列表服务器，促进 EDRN与其他相关网络和财团之间的互动；以及 为网络会议提供后勤和行政支持；2) 通过以下方式为EDRN中的协作研究提供数据管理支持 制定数据收集协议并监测遵守情况，制定和 维护协作研究数据库，并提供报告和研究 根据需要提供数据；3)开发生物标志物的统计和分析方法 评价和解释，强调灵活的描述性 A)评估以下各项的可靠性和重复性的统计方法 生物标记物和导致可靠性降低的识别因素；b) 评估用于癌症检测或癌症风险的生物标志物的准确性 评估，以及影响其诊断潜力的因素 黄金标准存在并且当它不存在时；c)组合多个 生物标记物；d)通过生物标记物识别癌症异质性；以及e) 鉴定生物标记物；来自微阵列表达数据。

DESCRIPTION: (Applicant's Description) Emerging scientific technologies that explore early cancer detection and assessment are of paramount importance in the effort toward reducing mortality from cancer. However, the approach to the development of biomarkers for early cancer detection bas been fragmented and not well coordinated. The charge of the Early Detection Research Network (EDRN) is to discover and coordinate the evaluation of biomarkers/reagents for the early detection of cancer and for the assessment of risk through scientific collaboration, knowledge sharing, and overall coordination of activities. The overall aim of the proposed Data Management and Coordinating Center (DMCC) is to provide coordination and data management for the EDRN under the direction of the Steering Committee, and to develop statistical and analytical methods useful for basic, translational, and clinical research in biomarkers for early detection of cancer. Under the direction of the Steering Committee, the DMCC will 1) perform network coordination and develop collaborations with other scientific components of the network by producing the Network Operations Policy and Procedure Manuals, assisting in the development and implementation of collaborative study research protocols, analyzing data from collaborative studies and providing statistical consultation for center-specific studies in EDRN, developing and maintaining a web page and listserv, promoting interactions between the EDRN and other relevant networks and consortia, and providing logistical and administrative support for network meetings; 2) provide data management support for collaborative studies in EDRN by developing data collection protocols and monitoring adherence, developing and maintaining collaborative study databases, and providing reports and study data as needed; 3) develop statistical and analytical methods for biomarker evaluation and interpretation, with emphasis on flexible descriptive statistical methods for a) assessing the reliability and reproducibility of biomarkers and identifying factors which contribute to reduced reliability; b) assessing the accuracy of biomarkers for cancer detection or cancer risk assessment, and factors influencing their diagnostic potential both when a gold standard exists and when it does not exist; c) combining multiple biomarkers; d) identifying cancer heterogeneity by biomarkers; and e) identifying biomarkers; from microarray expression data.