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iCOD:基于疾病系统病理学观点的综合临床组学数据库。

iCOD: an integrated clinical omics database based on the systems-pathology view of disease.

机构信息

Information Center for Medical Sciences, Tokyo Medical Dental University, Tokyo, Japan.

出版信息

BMC Genomics. 2010 Dec 2;11 Suppl 4(Suppl 4):S19. doi: 10.1186/1471-2164-11-S4-S19.

DOI:10.1186/1471-2164-11-S4-S19
PMID:21143802
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3005924/
Abstract

BACKGROUND

Variety of information relating between genome and the pathological findings in disease will yield a wealth of clues to discover new function, the role of genes and pathways, and future medicine. In addition to molecular information such as gene expression and genome copy number, detailed clinical information is essential for such systematic omics analysis.

RESULTS

In order to provide a basic platform to realize a future medicine based on the integration of molecular and clinico-pathological information of disease, we have developed an integrated clinical omics database (iCOD) in which comprehensive disease information of the patients is collected, including not only molecular omics data such as CGH (Comparative Genomic Hybridization) and gene expression profiles but also comprehensive clinical information such as clinical manifestations, medical images (CT, X-ray, ultrasounds, etc), laboratory tests, drug histories, pathological findings and even life-style/environmental information. The iCOD is developed to combine the molecular and clinico-pathological information of the patients to provide the holistic understanding of the disease. Furthermore, we developed several kinds of integrated view maps of disease in the iCOD, which summarize the comprehensive patient data to provide the information for the interrelation between the molecular omics data and clinico-pathological findings as well as estimation for the disease pathways, such as three layer-linked disease map, disease pathway map, and pathome-genome map.

CONCLUSIONS

With these utilities, our iCOD aims to contribute to provide the omics basis of the disease as well as to promote the pathway-directed disease view. The iCOD database is available online, containing 140 patient cases of hepatocellular carcinoma, with raw data of each case as supplemental data set to download. The iCOD and supplemental data can be accessed at http://omics.tmd.ac.jp/icod_pub_eng.

摘要

背景

基因组与疾病病理发现之间的各种信息将为发现新功能、基因和途径的作用以及未来医学提供丰富的线索。除了基因表达和基因组拷贝数等分子信息外,详细的临床信息对于这种系统的组学分析也是必不可少的。

结果

为了提供一个基于疾病分子和临床病理信息整合的未来医学的基础平台,我们开发了一个综合临床组学数据库(iCOD),其中收集了患者的综合疾病信息,不仅包括 CGH(比较基因组杂交)和基因表达谱等分子组学数据,还包括临床表现、医学图像(CT、X 射线、超声等)、实验室检查、药物史、病理发现甚至生活方式/环境信息等综合临床信息。iCOD 的开发是为了将患者的分子和临床病理信息结合起来,提供对疾病的整体认识。此外,我们在 iCOD 中开发了几种疾病的综合视图地图,这些地图总结了综合患者数据,提供了分子组学数据与临床病理发现之间的相互关系的信息,以及对疾病途径的估计,例如三层链接疾病图、疾病途径图和病理基因组图。

结论

通过这些实用程序,我们的 iCOD 旨在为疾病提供组学基础,并促进疾病途径导向的视图。iCOD 数据库在线提供,包含 140 例肝细胞癌患者,每个病例的原始数据作为补充数据集可供下载。iCOD 和补充数据可在 http://omics.tmd.ac.jp/icod_pub_eng 访问。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a30/3005924/c43d0777fada/1471-2164-11-S4-S19-6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a30/3005924/e4a8d85e79cd/1471-2164-11-S4-S19-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a30/3005924/5df2d9ff24ec/1471-2164-11-S4-S19-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a30/3005924/7ccfdd13603e/1471-2164-11-S4-S19-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a30/3005924/2c0b9d365bba/1471-2164-11-S4-S19-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a30/3005924/204245760d0b/1471-2164-11-S4-S19-5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a30/3005924/c43d0777fada/1471-2164-11-S4-S19-6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a30/3005924/e4a8d85e79cd/1471-2164-11-S4-S19-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a30/3005924/5df2d9ff24ec/1471-2164-11-S4-S19-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a30/3005924/7ccfdd13603e/1471-2164-11-S4-S19-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a30/3005924/2c0b9d365bba/1471-2164-11-S4-S19-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a30/3005924/204245760d0b/1471-2164-11-S4-S19-5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a30/3005924/c43d0777fada/1471-2164-11-S4-S19-6.jpg

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