从整合的TCGA数据集中识别癌症生存相关的突变基因

Zhenzhen Huang, Haomin Li
{"title":"从整合的TCGA数据集中识别癌症生存相关的突变基因","authors":"Zhenzhen Huang, Haomin Li","doi":"10.1109/BMEI.2015.7401551","DOIUrl":null,"url":null,"abstract":"Several large-scale human cancer genomics projects such as TCGA offered huge genomic and clinical data for researchers to obtain meaningful genomics alterations which intervene in the development and metastasis of tumors. The object of this study was to identify associations of mutation genes and survival time by linking these genomic features to clinical outcome. Based on the TCGA dataset, this study developed a website called TCGA4U which provides a visualization solution to illustrate the relationship of these genomics alternations with clinical data. Through integrating somatic mutation data and follow up data of three cancer types in TCGA, this study identified several somatic mutations which impact patient survival with statistical significance. These identified mutation genes have the potential to be used as new cancer biomarkers in clinical to predict the survival of patients.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Identify cancer survival related mutation genes from integrated TCGA datasets\",\"authors\":\"Zhenzhen Huang, Haomin Li\",\"doi\":\"10.1109/BMEI.2015.7401551\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Several large-scale human cancer genomics projects such as TCGA offered huge genomic and clinical data for researchers to obtain meaningful genomics alterations which intervene in the development and metastasis of tumors. The object of this study was to identify associations of mutation genes and survival time by linking these genomic features to clinical outcome. Based on the TCGA dataset, this study developed a website called TCGA4U which provides a visualization solution to illustrate the relationship of these genomics alternations with clinical data. Through integrating somatic mutation data and follow up data of three cancer types in TCGA, this study identified several somatic mutations which impact patient survival with statistical significance. These identified mutation genes have the potential to be used as new cancer biomarkers in clinical to predict the survival of patients.\",\"PeriodicalId\":119361,\"journal\":{\"name\":\"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)\",\"volume\":\"83 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BMEI.2015.7401551\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BMEI.2015.7401551","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

一些大规模的人类癌症基因组项目,如TCGA,为研究人员提供了大量的基因组和临床数据,以获得干预肿瘤发展和转移的有意义的基因组改变。本研究的目的是通过将这些基因组特征与临床结果联系起来,确定突变基因与生存时间的关联。基于TCGA数据集,本研究开发了一个名为TCGA4U的网站,该网站提供了一个可视化解决方案来说明这些基因组学变化与临床数据的关系。本研究通过整合TCGA三种癌症类型的体细胞突变资料和随访资料,发现了影响患者生存的几种体细胞突变,且具有统计学意义。这些已鉴定的突变基因有可能作为新的癌症生物标志物用于临床预测患者的生存。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identify cancer survival related mutation genes from integrated TCGA datasets
Several large-scale human cancer genomics projects such as TCGA offered huge genomic and clinical data for researchers to obtain meaningful genomics alterations which intervene in the development and metastasis of tumors. The object of this study was to identify associations of mutation genes and survival time by linking these genomic features to clinical outcome. Based on the TCGA dataset, this study developed a website called TCGA4U which provides a visualization solution to illustrate the relationship of these genomics alternations with clinical data. Through integrating somatic mutation data and follow up data of three cancer types in TCGA, this study identified several somatic mutations which impact patient survival with statistical significance. These identified mutation genes have the potential to be used as new cancer biomarkers in clinical to predict the survival of patients.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信