Precompetitive Collaboration on Liquid Biopsy for Early Cancer Assessment: Data Management and Coordinating Unit

项目总结 液体活组织检查是一种临床测试，它涉及分析血液或其他组织中存在的各种生物标记物。 体液的类型。它能够比传统的成像或组织更早地检测到癌症 活组织检查方法，从而可以减少癌症的移动性和死亡率。作为最有希望的 对于癌症早期检测的解决方案，液体活检有可能彻底改变癌症诊断，提供 为患者提供更有效、更少侵入性的护理。液体活组织检查分析包括循环肿瘤细胞 (CTCs)，循环中的肿瘤DNA，这是无细胞DNA(CfDNA)的一部分，细胞外小泡以及其他 肿瘤相关的RNA、蛋白质和代谢物。这些分析物通常在血液或 其他类型的早期癌症患者的体液，导致难以获得可重复的结果 对癌症早期发现的敏感性和特异性较低。虽然许多新的分析和技术已经 为应对这些挑战而开发，在不同人群中验证这些分析/技术 和/或癌症类型带来了许多挑战，这些都是液体支持的主要研究领域 活组织检查联盟(LBC)。作为LBC的数据管理和协调单位(DMCU)，我们将支持状态- 采用最先进的统计方法进行研究设计和数据分析、协调、实施和实施 整个财团的协作研究，并与LBC调查人员密切合作 统计方法、机器学习建模和人工智能。我们还将支持财团 协调和数据管理，包括确定和采用液体标准数据元素 活组织检查。我们寻求将DMCU建立为液体领域领先的创新和资源中心 活组织检查研究，并加强、改善和维护LBC网络的整合和协调。

PROJECT SUMMARY Liquid biopsy is a clinical test that involves the analysis of various biomarkers present in the blood or other types of body fluids. It enables the detection of cancer at an earlier stage than traditional imaging or tissue biopsy methods, and thus can lead to reduction of cancer mobility and mortality. As one of the most promising solutions for cancer early detection, liquid biopsy has the potential to revolutionize cancer diagnosis, providing patients with more effective and less invasive care. The liquid biopsy analytes include circulating tumor cells (CTCs), circulating tumor DNA, which is part of cell-free DNA (cfDNA), extracellular vesicles, as well other tumor associated RNAs, proteins and metabolites. These analytes typically have very low levels in blood or other types of body fluid of early-stage cancer patients, leading to difficulties in obtaining reproducible results and low sensitivity and specificity for cancer early detection. While many new assays and techniques have been developed to tackle these challenges, validation of these assays/techniques in different populations and/or cancer types poses many challenges, and these are the main areas of research supported by the liquid biopsy consortium (LBC). As Data Management and Coordinating Unit (DMCU) of LBC, we will support state- of-the-art statistical methods for study design and data analysis, the coordination, implementation, and conduct of collaborative studies across the consortium and work closely with LBC investigators on data analysis by statistical methods, machine Learning modeling and Artificial Intelligence. We will also support consortium coordination and data management, including identification and adoption of standard data elements for liquid biopsy studies. We seek to establish the DMCU as a leading center for innovation and resources in liquid biopsy research, and to enhance, improve and maintain LBC network integration and coordination.