A Novel Serum 4-microRNA Signature for Lung Cancer Detection

• DOI: 10.1038/srep12464
• Publication Date: 2015-07-23T10:09:58Z
• Authors: Ernest Nadal; Anna Truini; Asuka Nakata; Jules Lin; Rishindra M. Reddy; Andrew C. Chang; Nithya Ramnath; Noriko Gotoh; David G. Beer; Guoan Chen
• Keywords: TaqMan

Abstract The aim of this study was to identify differentially-expressed miRNAs in the serum non-small cell lung cancer (NSCLC) patients that might be a clinically-useful tool for early detection. We performed miRNA expression profile analysis using TaqMan OpenArray Human panel discovery set 70 samples obtained at tumor resection and 22 non-cancer subjects (NC). Selected were then validated by quantitative PCR an independent validation from LC (n = 84) NC 23). Sixty significantly up-regulated 31 down-regulated NSCLC versus (adjusted p < 0.001). Four (miR-193b, miR-301, miR-141 miR-200b) selected validating their diagnostic value cohort. In set, ROC plot derived combination these yielded area under curve (AUC) 0.985 (95% CI 0.961–1.000, test signature exhibited AUC 0.993 0.979–1.000, conclusion, we identified 4-miRNA discriminated with high accuracy NC. Further prospective is warranted.