%0 Journal Article %A Duell, Eric J %A Lujan-Barroso, Leila %A Sala, Núria %A Deitz McElyea, Samantha %A Overvad, Kim %A Tjonneland, Anne %A Olsen, Anja %A Weiderpass, Elisabete %A Busund, Lill-Tove %A Moi, Line %A Muller, David %A Vineis, Paolo %A Aune, Dagfinn %A Matullo, Giuseppe %A Naccarati, Alessio %A Panico, Salvatore %A Tagliabue, Giovanna %A Tumino, Rosario %A Palli, Domenico %A Kaaks, Rudolf %A Katzke, Verena A %A Boeing, Heiner %A Bueno-de-Mesquita, H B As %A Peeters, Petra H %A Trichopoulou, Antonia %A Lagiou, Pagona %A Kotanidou, Anastasia %A Travis, Ruth C %A Wareham, Nick %A Khaw, Kay-Tee %A Ramon Quiros, Jose %A Rodríguez-Barranco, Miguel %A Dorronsoro, Miren %A Chirlaque, María-Dolores %A Ardanaz, Eva %A Severi, Gianluca %A Boutron-Ruault, Marie-Christine %A Rebours, Vinciane %A Brennan, Paul %A Gunter, Marc %A Scelo, Ghislaine %A Cote, Greg %A Sherman, Stuart %A Korc, Murray %T Plasma microRNAs as biomarkers of pancreatic cancer risk in a prospective cohort study. %D 2017 %U http://hdl.handle.net/10668/11237 %X Noninvasive biomarkers for early pancreatic ductal adenocarcinoma (PDAC) diagnosis and disease risk stratification are greatly needed. We conducted a nested case-control study within the Prospective Investigation into Cancer and Nutrition (EPIC) cohort to evaluate prediagnostic microRNAs (miRs) as biomarkers of subsequent PDAC risk. A panel of eight miRs (miR-10a, -10b, -21-3p, -21-5p, -30c, -106b, -155 and -212) based on previous evidence from our group was evaluated in 225 microscopically confirmed PDAC cases and 225 controls matched on center, sex, fasting status and age/date/time of blood collection. MiR levels in prediagnostic plasma samples were determined by quantitative RT-PCR. Logistic regression was used to model levels and PDAC risk, adjusting for covariates and to estimate area under the receiver operating characteristic curves (AUC). Plasma miR-10b, -21-5p, -30c and -106b levels were significantly higher in cases diagnosed within 2 years of blood collection compared to matched controls (all p-values %K biomarkers %K cohort studies %K microRNAs %K pancreatic cancer %~