Ning Jiahui, Guo Xiaoxin, Wang Ning, Xue Luchen
Department of Computer Science and Technology, Jilin University, Changchun, Jilin 130012, P.R. China ; Key Laboratory of Symbol Computation and Knowledge Engineering of The Ministry of Education, Jilin University, Changchun, Jilin 130012, P.R. China.
Oncol Lett. 2015 Nov;10(5):3243-3251. doi: 10.3892/ol.2015.3676. Epub 2015 Sep 3.
Adenocarcinoma is one of the most serious diseases that threaten human health. Numerous studies have investigated adenocarcinoma and have obtained a considerable amount of data regarding genes and microRNA (miRNA) in adenocarcinoma. However, studies have only focused on one or a small number of genes and miRNAs, and the data is stored in a scattered form, making it challenging to summarize and assess the associations between the genes and miRNAs. In the present study, three networks of genes and miRNAs in adenocarcinoma were focused on. This enabled the construction of networks of elements involved in adenocarcinoma and the analysis of these networks, rather than only discussing one gene. Transcription factors (TFs), miRNAs, and target and host genes of miRNAs in adenocarcinoma, and the regulatory associations between these elements were identified in the present study. These elements and associations were then used to construct three networks, which consisted of the differentially-expressed, associated and global networks. The similarities and differences between the three networks were compared and analyzed. In total, 3 notable TFs, consisting of TP53, phosphatase and tensin homolog and SMAD4, were identified in adenocarcinoma. These TFs were able to regulate the differentially-expressed genes and the majority of the differentially-expressed miRNAs. Certain important regulatory associations were also found in adenocarcinoma, in addition to self-regulating associations between TFs and miRNAs. The upstream and downstream elements of the differentially-expressed genes and miRNAs were recorded, which revealed the regulatory associations between genes and miRNAs. The present study clearly revealed components of the pathogenesis of adenocarcinoma and the regulatory associations between the elements in adenocarcinoma. The present study may aid the investigation of gene therapy in adenocarcinoma and provides a theoretical basis for studies of gene therapy methods as a treatment for adenocarcinoma.
腺癌是威胁人类健康的最严重疾病之一。众多研究已对腺癌展开调查,并获得了大量有关腺癌中基因和微小RNA(miRNA)的数据。然而,这些研究仅聚焦于一个或少数几个基因和miRNA,且数据以分散的形式存储,这使得总结和评估基因与miRNA之间的关联具有挑战性。在本研究中,聚焦于腺癌中的三个基因和miRNA网络。这使得能够构建参与腺癌的元素网络并对这些网络进行分析,而不仅仅是讨论一个基因。本研究确定了腺癌中的转录因子(TFs)、miRNA及其靶基因和宿主基因,以及这些元素之间的调控关联。然后利用这些元素和关联构建了三个网络,分别为差异表达网络、关联网络和全局网络。对这三个网络之间的异同进行了比较和分析。总共在腺癌中鉴定出3个显著的TFs,包括TP53、磷酸酶和张力蛋白同源物以及SMAD4。这些TFs能够调控差异表达基因和大多数差异表达的miRNA。除了TFs和miRNA之间的自我调控关联外,在腺癌中还发现了某些重要的调控关联。记录了差异表达基因和miRNA的上游和下游元素,这揭示了基因与miRNA之间的调控关联。本研究清楚地揭示了腺癌发病机制的组成部分以及腺癌中各元素之间的调控关联。本研究可能有助于腺癌基因治疗的研究,并为作为腺癌治疗方法的基因治疗研究提供理论基础。