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Crucial microRNAs and genes of human primary breast cancer explored by microRNA-mRNA integrated analysis

机译:通过microRNA-mRNA整合分析探索人类原发性乳腺癌的关键microRNA和基因

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This study aimed to screen potential microRNAs (miRNAs) and genes related to human primary breast cancer. The gene and miRNA expression profile data of GSE19783 was obtained from Gene Expression Omnibus. The matched messenger RNA (mRNA) and miRNA expression profiles of 100 human primary breast cancer samples were chosen for further analysis. The miRNA-gene regulatory modules were screened via iterative multiplicative updating algorithm. The potential functions of genes in modules were predicted by functional and pathway enrichment analysis; meanwhile, the potential functions of miRNAs were predicted by functional enrichment analysis. Furthermore, miRNA-miRNA functional synergistic network and miRNA-miRNA co-regulatory network were constructed. Totally, 16 miRNA-gene modules were screened, containing 222 miRNA-gene interactions. The genes in these modules were mainly related to breast cancer. Genes in module 6 (e.g., SFRP1) were enriched in cell junction assembly; genes in module 8 and 12 (e.g., ESR1 and ERBB4) were significantly implicated in mammary gland alveolus and lobule development. Meanwhile, genes in module 12 (e.g., ERBB4) were enriched in the pathway of endocytosis. Besides, several miRNAs (e.g., miR-375) were enriched in inflammatory cell apoptotic process; some other miRNAs (e.g., miR-139-5p and miR-9) were enriched in response to vitamin D. Additionally, miR-139-5p with several other miRNAs (e.g., miR-9) co-regulated SFRP1; miR-375, miR592, and miR-135a co-regulated ESR1 and ERBB4. Some miRNAs (e.g., miR-139-5p and miR-9) and their target gene SFRP1, as well as several other miRNAs (e.g., miR-375, miR592, and miR-135a) and their target genes (e.g., ESR1 and ERBB4), might be crucial in the pathogenesis of primary breast cancer.
机译:这项研究旨在筛选潜在的与人类原发性乳腺癌相关的microRNA(miRNA)和基因。 GSE19783的基因和miRNA表达谱数据是从Gene Expression Omnibus获得的。选择了100个人类原发性乳腺癌样品的匹配信使RNA(mRNA)和miRNA表达谱进行进一步分析。通过迭代乘法更新算法筛选miRNA基因调控模块。通过功能和途径富集分析预测模块中基因的潜在功能。同时,通过功能富集分析预测了miRNA的潜在功能。此外,构建了miRNA-miRNA功能协同网络和miRNA-miRNA共同调控网络。总共筛选了16个miRNA基因模块,其中包含222个miRNA基因相互作用。这些模块中的基因主要与乳腺癌有关。模块6(例如SFRP1)中的基因在细胞连接装配中富集;模块8和模块12中的基因(例如ESR1和ERBB4)与乳腺肺泡和小叶发育密切相关。同时,模块12中的基因(例如,ERBB4)富含内吞途径。此外,一些miRNA(例如,miR-375)在炎性细胞凋亡过程中富集。另外一些miRNA(例如miR-139-5p和miR-9)对维生素D的反应也很丰富。此外,miR-139-5p与其他几种miRNA(例如miR-9)共同调节了SFRP1。 miR-375,miR592和miR-135a共同调节ESR1和ERBB4。一些miRNA(例如miR-139-5p和miR-9)及其靶基因SFRP1,以及其他几个miRNA(例如miR-375,miR592和miR-135a)及其靶基因(例如ESR1和ERBB4),可能在原发性乳腺癌的发病机制中至关重要。

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