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癌症靶基因筛选:一个使用多组学数据分析进行乳腺癌靶基因筛选的网络应用程序。

Cancer Target Gene Screening: a web application for breast cancer target gene screening using multi-omics data analysis.

机构信息

Department of Pathology, College of Medicine, Hanyang University, Seoul, Republic of Korea.

Institute for Bioengineering and Biopharmaceutical Research, Hanyang University, Seoul, Republic of Korea.

出版信息

Brief Bioinform. 2020 Mar 23;21(2):663-675. doi: 10.1093/bib/bbz003.

Abstract

Breast cancer comprises several molecular subtypes with distinct clinical features and treatment responses, and a substantial portion of each subtype remains incurable. A comprehensive analysis of multi-omics data and clinical profiles is required in order to better understand the biological complexity of this cancer type and to identify new prognostic and therapeutic markers. Thus, there arises a need for useful analytical tools to assist in the investigation and clinical management of the disease. We developed Cancer Target Gene Screening (CTGS), a web application that provides rapid and user-friendly analysis of multi-omics data sets from a large number of primary breast tumors. It allows the investigation of genomic and epigenomic aberrations, evaluation of transcriptomic profiles and performance of survival analyses and of bivariate correlations between layers of omics data. Notably, the genome-wide screening function of CTGS prioritizes candidate genes of clinical and biological significance among genes with copy number alteration, DNA methylation and dysregulated expression by the integrative analysis of different types of omics data in customized subgroups of breast cancer patients. These features may help in the identification of druggable cancer driver genes in a specific subtype or the clinical condition of human breast cancer. CTGS is available at http://ctgs.biohackers.net.

摘要

乳腺癌包括几种具有不同临床特征和治疗反应的分子亚型,其中相当一部分亚型仍然无法治愈。为了更好地了解这种癌症类型的生物学复杂性,并确定新的预后和治疗标志物,需要对多组学数据和临床特征进行全面分析。因此,需要有用的分析工具来辅助癌症的研究和临床管理。我们开发了 Cancer Target Gene Screening(CTGS),这是一个网络应用程序,可快速、用户友好地分析大量原发性乳腺癌肿瘤的多组学数据集。它可以研究基因组和表观基因组异常,评估转录组谱,并进行生存分析以及不同层次组学数据之间的双变量相关性分析。值得注意的是,CTGS 的全基因组筛选功能通过整合分析不同类型的组学数据,在定制的乳腺癌患者亚组中,对具有拷贝数改变、DNA 甲基化和表达失调的基因进行优先级排序,以确定具有临床和生物学意义的候选基因。这些特征可能有助于在特定亚型或人类乳腺癌的临床情况下识别可用药的癌症驱动基因。CTGS 可在 http://ctgs.biohackers.net 上获得。

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