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体细胞突变数据库作为癌症分子流行病学和分子病理学的工具:关于改进数据收集、分发和整合的拟议指南。

Somatic mutation databases as tools for molecular epidemiology and molecular pathology of cancer: proposed guidelines for improving data collection, distribution, and integration.

作者信息

Olivier M, Petitjean A, Teague J, Forbes S, Dunnick J K, den Dunnen J T, Langerød A, Wilkinson J M, Vihinen M, Cotton R G H, Hainaut P

机构信息

Group of Molecular Carcinogenesis and Biomarkers, International Agency for Research on Cancer, World Health Organization, Lyon, France.

出版信息

Hum Mutat. 2009 Mar;30(3):275-82. doi: 10.1002/humu.20832.

DOI:10.1002/humu.20832
PMID:19006239
Abstract

There are currently less than 40 locus-specific databases (LSDBs) and one large general database that curate data on somatic mutations in human cancer genes. These databases have different scope and use different annotation standards and database systems, resulting in duplicated efforts in data curation, and making it difficult for users to find clear and consistent information. As data related to somatic mutations are generated at an increasing pace it is urgent to create a framework for improving the collecting of this information and making it more accessible to clinicians, scientists, and epidemiologists to facilitate research on biomarkers. Here we propose a data flow for improving the connectivity between existing databases and we provide practical guidelines for data reporting, database contents, and annotation standards. These proposals are based on common standards recommended by the Human Genome Variation Society (HGVS) with additions related to specific requirements of somatic mutations in cancer. Indeed, somatic mutations may be used in molecular pathology and clinical studies to characterize tumor types, help treatment choice, predict response to treatment and patient outcome, or in epidemiological studies as markers for tumor etiology or exposure assessment. Thus, specific annotations are required to cover these diverse research topics. This initiative is meant to promote collaboration and discussion on these issues and the development of adequate resources that would avoid the loss of extremely valuable information generated by years of basic and clinical research.

摘要

目前,整理人类癌症基因体细胞突变数据的位点特异性数据库(LSDB)不足40个,大型综合数据库仅有1个。这些数据库范围不同,使用不同的注释标准和数据库系统,导致数据整理工作重复,用户难以找到清晰一致的信息。随着与体细胞突变相关的数据生成速度不断加快,迫切需要创建一个框架,以改进此类信息的收集,并使其更便于临床医生、科学家和流行病学家获取,从而促进生物标志物研究。在此,我们提出一种改进现有数据库之间连通性的数据流,并提供数据报告、数据库内容和注释标准的实用指南。这些提议基于人类基因组变异协会(HGVS)推荐的通用标准,并增加了与癌症体细胞突变特定要求相关的内容。事实上,体细胞突变可用于分子病理学和临床研究,以表征肿瘤类型、帮助选择治疗方案、预测治疗反应和患者预后,或在流行病学研究中作为肿瘤病因或暴露评估的标志物。因此,需要特定的注释来涵盖这些不同的研究主题。该倡议旨在促进就这些问题开展合作与讨论,并开发适当的资源,以避免多年基础和临床研究产生的极其宝贵的信息流失。

相似文献

1
Somatic mutation databases as tools for molecular epidemiology and molecular pathology of cancer: proposed guidelines for improving data collection, distribution, and integration.体细胞突变数据库作为癌症分子流行病学和分子病理学的工具:关于改进数据收集、分发和整合的拟议指南。
Hum Mutat. 2009 Mar;30(3):275-82. doi: 10.1002/humu.20832.
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Hum Mutat. 2010 Oct;31(10):1109-16. doi: 10.1002/humu.21332.
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Time for a unified system of mutation description and reporting: a review of locus-specific mutation databases.建立统一的突变描述与报告系统的时机:位点特异性突变数据库综述
Genome Res. 2002 May;12(5):680-8. doi: 10.1101/gr.217702.
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Guidelines for establishing locus specific databases.建立定位特定数据库的指南。
Hum Mutat. 2012 Feb;33(2):298-305. doi: 10.1002/humu.21646. Epub 2011 Dec 9.
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p53 website and analysis of p53 gene mutations in human cancer: forging a link between epidemiology and carcinogenesis.p53网站与人类癌症中p53基因突变分析:建立流行病学与致癌作用之间的联系
Hum Mutat. 2000;15(1):105-13. doi: 10.1002/(SICI)1098-1004(200001)15:1<105::AID-HUMU19>3.0.CO;2-G.
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The Roche Cancer Genome Database (RCGDB).罗氏癌症基因组数据库(RCGDB)。
Hum Mutat. 2010 Apr;31(4):407-13. doi: 10.1002/humu.21207.
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UMD (Universal mutation database): a generic software to build and analyze locus-specific databases.UMD(通用突变数据库):一个用于构建和分析特定基因座数据库的通用软件。
Hum Mutat. 2000;15(1):86-94. doi: 10.1002/(SICI)1098-1004(200001)15:1<86::AID-HUMU16>3.0.CO;2-4.
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Hum Mutat. 2003 Mar;21(3):176-81. doi: 10.1002/humu.10187.
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Human gene mutation database-a biomedical information and research resource.人类基因突变数据库——一个生物医学信息与研究资源库。
Hum Mutat. 2000;15(1):45-51. doi: 10.1002/(SICI)1098-1004(200001)15:1<45::AID-HUMU10>3.0.CO;2-T.
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The IARC TP53 database: new online mutation analysis and recommendations to users.国际癌症研究机构TP53数据库:新的在线突变分析及对用户的建议。
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A bioinformatics workflow for variant peptide detection in shotgun proteomics.一种用于高通量蛋白质组学中变异肽检测的生物信息学工作流程。
Mol Cell Proteomics. 2011 May;10(5):M110.006536. doi: 10.1074/mcp.M110.006536. Epub 2011 Mar 9.
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CanProVar: a human cancer proteome variation database.CanProVar:一个人类癌症蛋白质组变异数据库。
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