biostudies-literatureUnknown113(10)Miyamae M<h4>Background</h4>This study aims to explore novel microRNAs in plasma for screening cancer and predicting clinical outcomes in pancreatic cancer (PCa) patients using a microRNA array-based approach.<h4>Methods</h4>We used the Toray 3D-Gene microRNA array-based approach to compare plasma levels between PCa patients and healthy volunteers.<h4>Results</h4>(1) Six oncogenic microRNAs (miR-615-5p, -744, -575, -557, -675, and -550a) with high expression in plasma were selected. (2) By quantitative RT-PCR using plasma samples from 94 PCa patients and 68 healthy volunteers, a significantly higher level of plasma miR-744 in PCa patients than in healthy volunteers was validated in small-scale analysis (P=0.0038), two independent cohort analyses, and large-scale analysis (P<0.0001, AUC 0.8307). (3)British journal of cancer1467-76https://www.ebi.ac.uk/biostudies/studies/S-EPMC4815891biostudies-literaturePlasma microRNA profiles: identification of miR-744 as a novel diagnostic and prognostic biomarker in pancreatic cancer.PMC4815891Ochiai TOtsuji EKomatsu SShiozaki AIkoma HOkamoto KKawaguchi TIchikawa DMiyamae MHirajima SImamura TOhashi TKonishi HTaniguchi HOkajima WMorimura RfalsePlasma microRNA profiles: identification of miR-744 as a novel diagnostic and prognostic biomarker in pancreatic cancer.<h4>Background</h4>This study aims to explore novel microRNAs in plasma for screening cancer and predicting clinical outcomes in pancreatic cancer (PCa) patients using a microRNA array-based approach.<h4>Methods</h4>We used the Toray 3D-Gene microRNA array-based approach to compare plasma levels between PCa patients and healthy volunteers.<h4>Results</h4>(1) Six oncogenic microRNAs (miR-615-5p, -744, -575, -557, -675, and -550a) with high expression in plasma were selected. (2) By quantitative RT-PCR using plasma samples from 94 PCa patients and 68 healthy volunteers, a significantly higher level of plasma miR-744 in PCa patients than in healthy volunteers was validated in small-scale analysis (P=0.0038), two independent cohort analyses, and large-scale analysis (P<0.0001, AUC 0.8307). (3)2015-01-01T00:00:00Z2015 Nov2025-04-04T20:13:20.472Z2019-03-27T03:10:49ZS-EPMC48158912650567810.1038/bjc.2015.366