Department of Oncology, the First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing 210029, China.
Biomed Pharmacother. 2012 Feb;66(1):21-8. doi: 10.1016/j.biopha.2011.09.004. Epub 2011 Dec 28.
The well-known oncomiR-miR-21 was previously reported oncogenic activity in lung cancer. We sought to determine the expression of all predicted target genes of miR-21 and their potential function, pathways and networks, which are involved in the biological behavior of lung cancer.
After a systematic review of English language studies of lung cancer-related molecules were pooled; genes were classified in three functional groups by gene ontology (GO) analysis. The key molecules were indentified by establishing lung cancer related networks and pathways. MiR-21 targets were predicted by computational method, followed by screening for matched gene symbols in NCBI human sequences and GO, pathway and network analysis. MiR-21 targets and their network, which are involved in the malignant mechanisms of lung cancer, were obtained by the final integrative analysis.
We indentified the potential functions, pathways and networks of lung cancer relating molecules and miR-21 targets respectively in the initial analysis. In the final integrative analysis of lung cancer related miR-21-targets analysis, 24 hub genes were identified by overlap calculation, suggesting that miR-21 may play an important role in the development and progression of lung cancer through JAK/STAT signal pathway, MAPK signaling pathway, Wnt signaling pathway, cell cycle, PPAR signaling pathway, apoptosis pathway and other pathways.
Our data may help researchers to predict the molecular mechanisms of miR-21 in the development and progression of lung cancer comprehensively. Moreover, the present data indicate that miR-21-targets may be a series of promising candidates as biomarkers for lung cancer.
先前的研究表明，著名的致癌 microRNA（miR-21）在肺癌中具有致癌活性。我们旨在确定 miR-21 的所有预测靶基因的表达及其潜在功能、途径和网络，这些靶基因参与肺癌的生物学行为。
系统地回顾了与肺癌相关分子的英文文献，并进行了荟萃分析；通过基因本体（GO）分析将基因分为三个功能组。通过建立与肺癌相关的网络和途径，确定关键分子。通过计算方法预测 miR-21 的靶基因，然后在 NCBI 人类序列和 GO、途径和网络分析中筛选匹配的基因符号。通过最终的综合分析，获得涉及肺癌恶性机制的 miR-21 靶基因及其网络。
我们在初步分析中分别确定了与肺癌相关分子和 miR-21 靶基因的潜在功能、途径和网络。在最终的肺癌相关 miR-21-靶基因分析综合分析中，通过重叠计算鉴定出 24 个枢纽基因，提示 miR-21 可能通过 JAK/STAT 信号通路、MAPK 信号通路、Wnt 信号通路、细胞周期、PPAR 信号通路、凋亡通路等途径在肺癌的发生和发展中发挥重要作用。
我们的数据可能有助于研究人员全面预测 miR-21 在肺癌发生和发展中的分子机制。此外，本研究数据表明，miR-21 靶基因可能是一系列有前途的肺癌生物标志物候选物。
