Investigation of a common gene expression signature in gastrointestinal cancers using systems biology approaches†

IF 3.743 Q2 Biochemistry, Genetics and Molecular Biology
Kaveh Baghaei, Nazanin Hosseinkhan, Hamid Asadzadeh Aghdaei and M. R. Zali
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引用次数: 6

Abstract

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.

Abstract Image

应用系统生物学方法研究胃肠道肿瘤中一个常见的基因表达特征
根据GLOBOCAN 2012,在胃肠道(GI)癌症中,结直肠癌、胃癌和肝癌的发病率和死亡率最高。在这里,我们旨在利用系统生物学方法找到在这三种恶性肿瘤中同时解除管制的共同基因和途径。在此,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,我们还对未充分研究的数据集应用了差异共表达分析。三种肿瘤共有的显著差异表达基因(DEGs)被用于进一步调控和PPI网络的构建。同时研究了mirna和lncrna在常见deg中的调节作用。GC、CRC和HCC之间共检测到23种常见的deg。在构建的tf靶调控网络中发现了两个潜在的前馈回路,表明生物通路之间可能存在串扰。对常见的PPI网络进行了漏洞测试,发现了三个候选漏洞,同时针对这三个候选漏洞将导致网络主要部分的瓦解。差异共表达研究的结果导致GC和CRC以及CRC和HCC之间分别鉴定出7对和1对共同的差异共表达基因。差异表达研究的结果在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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Molecular BioSystems
Molecular BioSystems 生物-生化与分子生物学
CiteScore
2.94
自引率
0.00%
发文量
0
审稿时长
2.6 months
期刊介绍: Molecular Omics publishes molecular level experimental and bioinformatics research in the -omics sciences, including genomics, proteomics, transcriptomics and metabolomics. We will also welcome multidisciplinary papers presenting studies combining different types of omics, or the interface of omics and other fields such as systems biology or chemical biology.
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