Laboratory of Molecular Medicine, SB RAS Institute of Chemical Biology and Fundamental Medicine, Novosibirsk, Russia.
Meshalkin National Medical Research Center, Ministry of Health of the Russian Federation, Novosibirsk, Russia.
Sci Rep. 2018 Apr 20;8(1):6348. doi: 10.1038/s41598-018-24769-2.
Lung cancer is one of major cancers, and survival of lung cancer patients is dictated by the timely detection and diagnosis. Cell-free circulating miRNAs were proposed as candidate biomarkers for lung cancer. These RNAs are frequently deregulated in lung cancer and can persist in bodily fluids for extended periods of time, shielded from degradation by membrane vesicles and biopolymer complexes. To date, several groups reported the presence of lung tumour-specific subsets of miRNAs in blood. Here we describe the profiling of blood plasma miRNAs in lung cancer patients, healthy individuals and endobronchitis patients using miRCURY LNA miRNA qPCR Serum/Plasma Panel (Exiqon). From 241 ratios differently expressed between cancer patients and healthy individuals 19 miRNAs were selected for verification using the same platform. LASSO-penalized logistic regression model, including 10 miRNA ratios comprised of 14 individual miRNAs discriminated lung cancer patients from both control groups with AUC of 0.979.
肺癌是主要癌症之一,肺癌患者的生存取决于及时的检测和诊断。无细胞循环循环 miRNA 被提议作为肺癌的候选生物标志物。这些 RNA 在肺癌中经常失调,并且可以在延长的时间段内存在于体液中,免受膜泡和生物聚合物复合物的降解。迄今为止,已有几个小组报告了血液中存在肺癌肿瘤特异性 miRNA 亚群。在这里,我们使用 miRCURY LNA miRNA qPCR 血清/血浆面板(Exiqon)描述了肺癌患者、健康个体和支气管内炎患者的血浆 miRNA 图谱。在癌症患者与健康个体之间差异表达的 241 个比值中,选择了 19 个 miRNA 使用相同的平台进行验证。包括 14 个单个 miRNA 的 10 个 miRNA 比值的 LASSO 惩罚逻辑回归模型,区分了肺癌患者与对照组,AUC 为 0.979。