A semantic interoperability approach to support integration of gene expression and clinical data in breast cancer
A semantic interoperability approach to support integration of gene expression and clinical data in breast cancer
复制标题
DOI：
10.1016/j.compbiomed.2017.06.005
复制
发表时间：
2017-08-01
影响因子：
7.7
通讯作者：
Maojo, Victor
中科院分区：
文献类型：
--
作者：
Alonso-Calvo, Raul;Paraiso-Medina, Sergio;Maojo, Victor
简介：组学数据的引入和临床治疗技术的进步导致了广泛的方法来表示临床信息。在这种情况下，患者分层的卫生机构，由于省略分析提出了一个复杂的情况下进行多中心clinical trials.Methods：本文提出了一种基于标准的方法，以确保语义集成所需的，以促进临床基因组临床试验的分析。为了确保不同机构之间的互操作性，我们开发了一个语义互操作层（SIL），以促进对临床和遗传信息的同质访问，该层基于不同的成熟生物医学标准并遵循国际卫生组织（IHE）的建议。SIL已显示出整合生物医学知识和技术的适用性，以抓住医疗保健和基因组学应用的最新临床进展。信息. SIL中的这种基因组数据集成已经用诊断分类器工具进行了测试，该工具利用协调的多中心临床基因组数据来训练统计预测模型。SIL已被国家和国际研究计划采用，如EURECA-欧盟研究项目和CIMED西班牙合作项目，其中，所提出的解决方案已经由专注于临床基因组研究的临床专家应用和评估。
Introduction: The introduction of omics data and advances in technologies involved in clinical treatment has led to a broad range of approaches to represent clinical information. Within this context, patient stratification across health institutions due to omit profiling presents a complex scenario to carry out multi-center clinical trials.Methods: This paper presents a standards-based approach to ensure semantic integration required to facilitate the analysis of clinico-genomic clinical trials. To ensure interoperability across different institutions, we have developed a Semantic Interoperability Layer (SIL) to facilitate homogeneous access to clinical and genetic information, based on different well-established biomedical standards and following International Health (IHE) recommendations.Results: The SIL has shown suitability for integrating biomedical knowledge and technologies to snatch the latest clinical advances in healthcare and the use of genomic information. This genomic data integration in the SIL has been tested with a diagnostic classifier tool that takes advantage of harmonized multi-center clinico-genomic data for training statistical predictive models.Conclusions: The SIL has been adopted in national and international research initiatives, such as the EURECA-EU research project and the CIMED collaborative Spanish project, where the proposed solution has been applied and evaluated by clinical experts focused on clinico-genomic studies.