人类癌症基因组图谱(The Cancer Genome Atlas, TCGA)汇集了包括染色体片段拷贝数变异、mRNA和miRNA表达谱、基因序列突变、DNA甲基化、单核苷酸多态性等多种肿瘤组织的遗传物质信息，极大地促进了癌症组学数据的整合、癌症亚型分类、药物分子靶标鉴定和小分子相互作用网络等相关研究。但令人遗憾的是，作为亚洲人群高发的癌症，原发性肝癌（以下简称肝癌）没有被列入TCGA的研究计划。由我国自主资助的研究项目已经产生了肝癌的基因组、功能基因组和蛋白质组数据,在本项目中，我们将发挥在多组学数据整合、分子分型、分子标记发掘、基因调控网络预测及分析方面的特长，充分利用包括这些组学数据在内的公共数据和已发表的相关数据，建立针对肝炎、肝癌的基因组、功能基因组、表观遗传组和蛋白质组数据库，为用户提供可视化的与肝炎、肝癌研究相关的多组学数据分析软件和网络分析平台。

The Cancer Genome Atlas (TCGA) consists of genetic information of a variety of carcinoma tissues , including chromosomal segment copy number variation, mRNA and miRNA expression profile, gene mutation, DNA methylation and single nucleotide polymorphisms,which greatly facilitated the integration of cancer-omics data, cancer subtype classification, drug target identification and small molecular interaction networks and other related research. However, primary carcinoma of the liver (hepatic carcinoma) which is one of the most popular cancers among Asian population was not planned to be included in the TCGA Project. Now large amount of data on hepatic carcinoma genome, functional genome and proteome have been generated from China sponsored research programs, which has not been systematically collected, integrated, assembled and analyzed. In this study, taking advantage of our experiences and well-established techniques on omics data integration, molecular subtype classification, molecular markers identification, gene regulatory network prediction and analysis, we plan to collect data from public databases and published papers, to build an integrated database of hepatitis and hepatic carcinoma genome, functional genome, epigenome and proteome data, and to provide a multi-omics data analysis and visualization software and network analysis platform for hepatitis and hepatic carcinoma related research.

炎症在癌症的发生发展过程中起着极其重要的作用，本课题的总体目标是要研究恶性肿瘤发生发展及侵袭转移的分子调控网络，以期为相关肿瘤的诊断和治疗提供理论依据。恶性肿瘤中有很大一部分是由不可控炎症转化而来，所以研究非可控炎症向肿瘤的恶性转化有着极其重要的作用。为研究炎癌转移的分子机制及调控网络，加深对癌症发生机制的理解，我们收集现有的和炎症向癌症恶性转化相关的多组学数据，建立炎癌数据库。