ISCF HDRUK DIH Sprint Exemplar: Developing an integrated data repository and analysis platform to maximise the impact of large-scale cancer cohort studies

ISCF HDRUK DIH Sprint 示例：开发集成数据存储库和分析平台，以最大限度地发挥大规模癌症队列研究的影响

• 批准号: MC_PC_18028
• 金额: $ 33.2万
• 依托单位: University of Oxford
• 依托单位国家: 英国
• 项目类别: Intramural
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=MC_PC_18028
• 关键词: ISCF; HDRUK; DIH; Sprint; Exemplar

Over the past 20 years, the applicants have researched a very important question by testing various treatment options in managing the most common malignancy in men: prostate cancer. The largest clinical trial of treatment worldwide enrolled over 80,000 participants, comparing surgery, radiotherapy and active monitoring in prostate cancer patients. The results showed that early treatment reduces rates of the disease spreading, but at the cost of over-treating many men with unpleasant side effects. To distinguish men who need treatment from others who could be harmed by interventions, it is critical to undertake long-term research on samples donated by these participants, to understand features that make a cancer ‘aggressive’, requiring urgent treatment. To optimise this research for scientists everywhere, it is crucial to curate these samples and catalogue all their normal clinical information as well as results from the analysis of their samples in a user-friendly collection, which can be used to mine the information and develop new tests and treatments for the future. This project will develop such a unique collection, using latest digital and computer technologies in collaboration with Databiology, with safe provision of ethics, respecting the wishes of the many participants, so that new research can be undertaken.

在过去的20年里，申请者通过测试治疗男性最常见的恶性肿瘤：前列腺癌的各种治疗方案，研究了一个非常重要的问题。这项全球最大的临床治疗试验招募了超过8万名参与者，对前列腺癌患者的手术、放射治疗和主动监测进行了比较。结果表明，早期治疗降低了疾病的传播率，但代价是过度治疗许多男性，并产生令人不快的副作用。为了将需要治疗的男性与其他可能受到干预伤害的男性区分开来，关键是对这些参与者捐赠的样本进行长期研究，了解使癌症具有侵袭性、需要紧急治疗的特征。为了优化世界各地的科学家的这项研究，至关重要的是对这些样本进行整理，并将他们所有的正常临床信息以及对他们样本的分析结果编目在一个用户友好的集合中，这些集合可以用于挖掘信息并为未来开发新的测试和治疗方法。该项目将与数据库合作，利用最新的数字和计算机技术，安全地提供道德规范，尊重许多参与者的意愿，开发这样一个独特的收藏，以便能够进行新的研究。