Beijing Institute of Basic Medical Sciences, Beijing 100850, China.
Department of Obstetrics and Gynecology, Fuzhou General Hospital of Nanjing Military Command, Fuzhou, Fujian 350025, China.
Sci Rep. 2017 Mar 22;7:45235. doi: 10.1038/srep45235.
Breast cancer is a disease with high heterogeneity. Many issues on tumorigenesis and progression are still elusive. It is critical to identify genes that play important roles in the progression of tumors, especially for tumors with poor prognosis such as basal-like breast cancer and tumors in very young women. To facilitate the identification of potential regulatory or driver genes, we present the Breast Cancer Integrative Platform (BCIP, http://omics.bmi.ac.cn/bcancer/). BCIP maintains multi-omics data selected with strict quality control and processed with uniform normalization methods, including gene expression profiles from 9,005 tumor and 376 normal tissue samples, copy number variation information from 3,035 tumor samples, microRNA-target interactions, co-expressed genes, KEGG pathways, and mammary tissue-specific gene functional networks. This platform provides a user-friendly interface integrating comprehensive and flexible analysis tools on differential gene expression, copy number variation, and survival analysis. The prominent characteristic of BCIP is that users can perform analysis by customizing subgroups with single or combined clinical features, including subtypes, histological grades, pathologic stages, metastasis status, lymph node status, ER/PR/HER2 status, TP53 mutation status, menopause status, age, tumor size, therapy responses, and prognosis. BCIP will help to identify regulatory or driver genes and candidate biomarkers for further research in breast cancer.
乳腺癌是一种具有高度异质性的疾病。肿瘤发生和进展的许多问题仍然难以捉摸。确定在肿瘤进展中发挥重要作用的基因至关重要,特别是对于预后不良的肿瘤,如基底样乳腺癌和非常年轻女性的肿瘤。为了方便识别潜在的调控或驱动基因,我们提出了乳腺癌综合平台(BCIP,http://omics.bmi.ac.cn/bcancer/)。BCIP 维护了经过严格质量控制和统一标准化方法处理的多组学数据,包括 9005 个肿瘤和 376 个正常组织样本的基因表达谱、3035 个肿瘤样本的拷贝数变异信息、microRNA-靶相互作用、共表达基因、KEGG 通路和乳腺组织特异性基因功能网络。该平台提供了一个用户友好的界面,集成了综合且灵活的分析工具,用于差异基因表达、拷贝数变异和生存分析。BCIP 的突出特点是用户可以通过自定义具有单个或组合临床特征的子组来执行分析,包括亚型、组织学分级、病理分期、转移状态、淋巴结状态、ER/PR/HER2 状态、TP53 突变状态、绝经状态、年龄、肿瘤大小、治疗反应和预后。BCIP 将有助于识别调控或驱动基因以及乳腺癌进一步研究的候选生物标志物。