Biomedical Computing Tools for Pancreatic Cancer Res.

描述(由申请人提供)： 胰腺癌(PC)是一种严重危害人类健康的疾病，在西方国家发病率呈上升趋势。它是导致男性和女性癌症死亡的第四大原因。开发标准化的数据收集(患者信息)，以及登记所有PC病例和收集PC高危人群的数据的综合计划，是更好地了解这种疾病的基本需要。使用基于Web的多层方法、数据仓库(DW)、联机分析处理(OLAP)和数据挖掘(DM)技术将非常有益于这些目的。然而，这些IT技术必须现代化，才能真正用于PC研究。这个项目的总体目标是开发一个集成的生物医学计算工具(IBCT)，通过使用计算和信息学的力量，更好地理解、治疗和预测PC。IBCT将包括三个综合组成部分。胰腺癌合作登记(PCCR)部分将收集有关PC患者和高风险PC患者的完整信息。胰腺癌数据仓库(PCDW)组件将收集的数据转换为适合数据挖掘的格式。胰腺癌统计建模(PCSM)组件由一组统计表和模型(包括贝叶斯网络)组成，将允许预测PC发展的风险和估计存活率。该项目将导致数据库、图形界面和查询方法的设计和开发，以及数据检索、处理和综合工具的开发。在该项目期间，将建造、测试、实施和记录各种必要的计算工具，以便将信息技术方法深入纳入个人计算机研究。我们会采用国际标准化组织/国际电工委员会14598的标准，综合评估公共政策研究中心、工务计划及管理委员会的工作。一个由PC领域公认的专家组成的团队将测试IBCT的所有组件。这一应用程序为正在进行的专注于对抗PC的临床、翻译和常规基础科学研究提供了补充。该项目将开发的IBCT也可以作为其他类型癌症和慢性病研究的基础设施。

DESCRIPTION (provided by applicant): Pancreatic cancer (PC) is a devastating disease with an increasing incidence in Western countries. It is the fourth-leading cause of cancer death in both men and women. The development of standardized data collection (patient information), together with a comprehensive plan for registering all PC cases and collecting data on individuals at high-risk of developing PC, are fundamental needs to achieve a better knowledge of this disease. The use of Multi-Tier Web-based approaches, Data Warehousing (DW), On-Line Analytical Processing (OLAP) and Data Mining (DM) technologies will be very beneficial for these purposes. These IT technologies, however, must be modernized to really be useful in PC research. The overall goal of this project is to develop an Integrated Biomedical Computing Tool (IBCT) for better understanding, treatment and prediction of PC, by using the power of computing and informatics sciences. The IBCT will contain three integrated components. The Pancreatic Cancer Collaborative Registry (PCCR) component will gather complete information on PC patients and individuals at high risk of developing PC. The Pancreatic Cancer Data Warehouse (PCDW) component will convert the collected data into the format suitable for data mining. The Pancreatic Cancer Statistical Modeling (PCSM) component, consisting of a set of statistical tables and models (including Bayesian Networks), will allow prediction of the risk of PC development and estimation of survival rates. This project will result in the design and development of databases, graphical interfaces and querying approaches, as well as the development of tools for data retrieval, processing and integration. During this project, a variety of computing tools necessary for in-depth incorporation of methodology of information technology (IT) into PC research will be constructed, tested, implemented and documented. The PCCR, PCDW and PCSM will be comprehensively evaluated using the ISO/IEC 14598 standard. A team of well-recognized experts in PC will test all components of the IBCT. This application provides complementary aspects to ongoing clinical, translational and conventional basic science research focused on the fight against PC. The IBCT to be developed in this project can also be used as an infrastructural foundation for research of other types of cancer and chronic diseases.