Baghaei Kaveh, Hosseinkhan Nazanin, Asadzadeh Aghdaei Hamid, Zali M R
Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mol Biosyst. 2017 Oct 24;13(11):2277-2288. doi: 10.1039/c7mb00450h.
According to GLOBOCAN 2012, the incidence and the mortality rate of colorectal, stomach and liver cancers are the highest among the total gastrointestinal (GI) cancers. Here we aimed to find the common genes and pathways that are simultaneously deregulated in these three malignancies using systems biology approaches. Here we conducted a differential expression analysis on high-quality gene expression datasets of gastric cancer (GC), colorectal cancer (CRC) and hepatocellular carcinoma (HCC). To address the inter gene correlations that were neglected in differential expression studies, we also applied differential co-expression analysis on the understudied datasets. The common significant differentially expressed genes (DEGs) among the three cancers were used for further regulatory and PPI network construction. In parallel the regulatory roles of miRNAs and lncRNAs in the common DEGs were investigated. 23 common DEGs were detected between GC, CRC and HCC. Two cases of potential feed forward loops were identified in the constructed TF-target regulatory network, indicating the probable cross-talk between biological pathways. The result of a vulnerability test on the common PPI network resulted in the finding of three candidates, the simultaneous targeting of which will disintegrate the main parts of the network. The results of the differential co-expression study led to the identification of respectively 7 and 1 common differentially co-expressed pairs of genes between GC and CRC and between CRC and HCC. The results of the differential expression study introduced new common players in CRC, GC and HCC and provided better insights into the molecular characteristics of these GI malignancies. Moreover, we concluded that differential co-expression studies are an essential complement for differential expression studies that just take single differentially expressed genes into account.
根据全球癌症统计数据2012,结直肠癌、胃癌和肝癌的发病率和死亡率在全部胃肠道(GI)癌症中是最高的。在此,我们旨在使用系统生物学方法找出在这三种恶性肿瘤中同时失调的共同基因和通路。我们对胃癌(GC)、结直肠癌(CRC)和肝细胞癌(HCC)的高质量基因表达数据集进行了差异表达分析。为了解决差异表达研究中被忽视的基因间相关性问题,我们还对研究不足的数据集应用了差异共表达分析。三种癌症中共同的显著差异表达基因(DEG)被用于进一步的调控和蛋白质-蛋白质相互作用(PPI)网络构建。同时,研究了miRNA和lncRNA在共同DEG中的调控作用。在GC、CRC和HCC之间检测到23个共同的DEG。在构建的转录因子-靶标调控网络中鉴定出两例潜在的前馈环,表明生物途径之间可能存在相互作用。对共同PPI网络的脆弱性测试结果发现了三个候选靶点,同时靶向它们将瓦解网络的主要部分。差异共表达研究结果分别在GC与CRC之间以及CRC与HCC之间鉴定出7对和1对共同的差异共表达基因对。差异表达研究结果在CRC、GC和HCC中引入了新的共同参与者,并为这些胃肠道恶性肿瘤的分子特征提供了更好的见解。此外,我们得出结论,差异共表达研究是仅考虑单个差异表达基因的差异表达研究的重要补充。