Zhang Yanqiong, Guo Xiaodong, Yang Mei, Yu Lingxiang, Li Zhiwei, Lin Na
Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, No. 16, Nanxiaojie, Dongzhimennei, Beijing 100700, China.
Mol Biosyst. 2014 Feb;10(2):215-22. doi: 10.1039/c3mb70400a.
BACKGROUND & AIM: identification of key markers that differentiate occurrence and progression of hepatocellular carcinoma (HCC) is of great significance to develop novel prognostic factors and improve therapeutic strategies. The aim of this study was to screen novel markers for HCC by combining expression profile, interaction network analysis and clinical validation.
METHODS & RESULTS: HCC significant molecules which were differentially expressed in HCC tissues were obtained from five existing HCC related databases (OncoDB.HCC, HCC.net, dbHCCvar, EHCO and Liverome). The protein-protein interaction network of HCC significant proteins was constructed and 331 candidate HCC markers were identified by calculating four topological features of the network ('Degree', 'Betweenness', 'Closeness' and 'K-coreness'). According to the enrichment analysis on Gene ontology items and KEGG pathways, these candidate HCC markers were more frequently involved in cellular protein metabolic processes, translational elongation and intracellular signaling cascade, which are associated with cancer development and metastasis. Among 331 candidate HCC markers, the three AKT kinase family members (AKT1-AKT3) were selected for clinical validation by immunohistochemistry analysis using 130 HCC specimens and matched adjacent non-neoplastic liver tissues. Interestingly, the upregulation of AKT1, AKT2 and AKT3 proteins were all significantly associated with tumor aggressiveness and poor prognosis in patients with HCC.
this study provided an integrated analysis by combining expression profile and interaction network analysis to identify a list of biologically significant HCC related markers and pathways. Further experimental validation also indicated that AKT1, AKT2 and AKT3 proteins may all be novel unfavorable prognostic factors for patients with HCC.
鉴定区分肝细胞癌(HCC)发生和进展的关键标志物对于开发新的预后因素和改进治疗策略具有重要意义。本研究的目的是通过结合表达谱、相互作用网络分析和临床验证来筛选HCC的新型标志物。
从五个现有的与HCC相关的数据库(OncoDB.HCC、HCC.net、dbHCCvar、EHCO和Liverome)中获取在HCC组织中差异表达的HCC重要分子。构建HCC重要蛋白的蛋白质-蛋白质相互作用网络,并通过计算网络的四个拓扑特征(“度”、“介数”、“紧密性”和“K-核”)鉴定出331个候选HCC标志物。根据基因本体论项目和KEGG通路的富集分析,这些候选HCC标志物更频繁地参与细胞蛋白质代谢过程、翻译延伸和细胞内信号级联反应,这些都与癌症的发生和转移有关。在331个候选HCC标志物中,选择三个AKT激酶家族成员(AKT1-AKT3),使用130个HCC标本和匹配的相邻非肿瘤肝组织通过免疫组织化学分析进行临床验证。有趣的是,AKT1、AKT2和AKT3蛋白的上调均与HCC患者的肿瘤侵袭性和不良预后显著相关。
本研究通过结合表达谱和相互作用网络分析提供了一种综合分析方法,以鉴定一系列具有生物学意义的HCC相关标志物和通路。进一步的实验验证还表明,AKT1、AKT2和AKT3蛋白可能都是HCC患者新的不良预后因素。