MicroRNA expression changes after lung cancer resection A follow-up study
MicroRNA expression changes after lung cancer resection A follow-up study
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DOI：
10.4161/rna.20107
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发表时间：
2012-06-01
期刊：
影响因子：
4.1
通讯作者：
Meese, Eckart
中科院分区：
文献类型：
--
作者：
Leidinger, Petra;Keller, Andreas;Meese, Eckart
miRNA 是强大的生物标志物，可用于从组织和体液中检测各种疾病。然而，这些分子长期监测患者的潜力却鲜为人知。我们从术前开始一直到术后 18 个月结束，追踪肺癌患者血浆 miRNome 的命运，每三个月抽取一次血液。主成分和聚类分析表明，不同时间点之间的总体 miRNA 模式的差异显着小于患者之间的差异。对于每位患者，我们都发现了相当特定的波动 miRNA 模式。我们鉴定出表达水平与手术时间距离之间存在显着相关性的 miRNA。网络分析揭示了 12 个相关 miRNA 调节着 48 个基因，这些基因在肺癌组织中失调。我们的数据强调了跟踪 miRNA 随着时间的推移的命运的研究的重要性，这既可以进一步加深我们对 miRNA 特征生物学的理解，也可以将这些特征建立为生物标志物。
MiRNAs are powerful biomarkers for detecting various diseases from tissue and body fluids. The potential of these molecules to monitor patients over time has, however, been less explored. We followed the fate of the plasma miRNome of lung cancer patients starting prior to surgery and ending 18 mo after surgery, with blood taken at three-month intervals. Principal component and clustering analysis showed that the differences of the overall miRNA patterns between the different time points were significantly smaller than between patients. For each patient we found a rather specific fluctuating miRNA pattern. We identified miRNAs that showed a significant correlation between expression level and time distance from surgery. A network analysis revealed 12 correlated miRNAs regulating 48 genes that were deregulated in lung cancer tissue. Our data underline the importance of studies that follow the fate of miRNAs over time, both to further our understanding of the biology of miRNA signatures and to establish these signatures as biomarkers.