Identification of plasma microRNAs as new potential biomarkers with high diagnostic power in human cutaneous melanoma
Identification of plasma microRNAs as new potential biomarkers with high diagnostic power in human cutaneous melanoma
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DOI：
10.1177/1010428317701646
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发表时间：
2017-05-03
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影响因子：
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通讯作者：
Nieri, Paola
中科院分区：
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作者：
Fogli, Stefano;Polini, Beatrice;Nieri, Paola
黑色素瘤是一种毁灭性的疾病，在晚期几乎没有治疗选择，迫切需要可靠的生物标志物来早期发现。在这种背景下，循环中的microRNA作为诊断生物标记物引起了极大的兴趣。我们分析了来自黑色素瘤患者和健康捐赠者的血浆样本中21个选定的microRNAs的表达谱，以确定潜在的诊断生物标志物。使用全局平均归一化和NormFinder算法进行数据分析。随后进行线性回归和接收器工作特性分析，以评估选定的血浆miRNAs是否能够区分病例和对照。我们发现，经过Bonferroni校正进行多次检测后，有五个microRNAs在病例和对照组中有不同的表达。与正常对照组相比，黑色素瘤患者血浆中miR-15b-5p、miR-149-3p和miR-150-5p表达上调，miR-193a-3p和miR-524-5p表达下调。对这些选定的microRNA的接收器工作特性分析提供了接收器工作特性曲线值范围为0.80至0.95的区域。联合应用miR-149-3p、miR-150-5p和miR-193a-3p可提高microRNAs的诊断价值。三分类识别器对黑色素瘤患者和健康对照有很高的区分能力，适合用于黑色素瘤的早期诊断。
Melanoma is a devastating disease with few therapeutic options in the advanced stage and with the urgent need of reliable biomarkers for early detection. In this context, circulating microRNAs are raising great interest as diagnostic biomarkers. We analyzed the expression profiles of 21 selected microRNAs in plasma samples from melanoma patients and healthy donors to identify potential diagnostic biomarkers. Data analysis was performed using global mean normalization and NormFinder algorithm. Linear regression followed by receiver operating characteristic analyses was carried out to evaluate whether selected plasma miRNAs were able to discriminate between cases and controls. We found five microRNAs that were differently expressed among cases and controls after Bonferroni correction for multiple testing. Specifically, miR-15b-5p, miR-149-3p, and miR-150-5p were up-regulated in plasma of melanoma patients compared with healthy controls, while miR-193a-3p and miR-524-5p were down-regulated. Receiver operating characteristic analyses of these selected microRNAs provided area under the receiver operating characteristic curve values ranging from 0.80 to 0.95. Diagnostic value of microRNAs is improved when considering the combination of miR-149-3p, miR-150-5p, and miR-193a-3p. The triple classifier had a high capacity to discriminate between melanoma patients and healthy controls, making it suitable to be used in early melanoma diagnosis.