Plasma microRNAs as biomarkers of pancreatic cancer risk in a prospective cohort study.
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Authors
Duell, Eric JLujan-Barroso, Leila
Sala, Núria
Deitz McElyea, Samantha
Overvad, Kim
Tjonneland, Anne
Olsen, Anja
Weiderpass, Elisabete
Busund, Lill-Tove
Moi, Line
Muller, David
Vineis, Paolo
Aune, Dagfinn
Matullo, Giuseppe
Naccarati, Alessio
Panico, Salvatore
Tagliabue, Giovanna
Tumino, Rosario
Palli, Domenico
Kaaks, Rudolf
Katzke, Verena A
Boeing, Heiner
Bueno-de-Mesquita, H B As
Peeters, Petra H
Trichopoulou, Antonia
Lagiou, Pagona
Kotanidou, Anastasia
Travis, Ruth C
Wareham, Nick
Khaw, Kay-Tee
Ramon Quiros, Jose
Rodríguez-Barranco, Miguel
Dorronsoro, Miren
Chirlaque, María-Dolores
Ardanaz, Eva
Severi, Gianluca
Boutron-Ruault, Marie-Christine
Rebours, Vinciane
Brennan, Paul
Gunter, Marc
Scelo, Ghislaine
Cote, Greg
Sherman, Stuart
Korc, Murray
Type
ArticleLanguage
en
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Plasma microRNAs as biomarkers of pancreatic cancer risk in a prospective cohort study.Published in
Int J Cancer 2017; 141(5):905-15Publiekssamenvatting
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 <0.04). Based on adjusted logistic regression models, levels for six miRs (miR-10a, -10b, -21-5p, -30c, -155 and -212) overall, and for four miRs (-10a, -10b, -21-5p and -30c) at shorter follow-up time between blood collection and diagnosis (≤5 yr, ≤2 yr), were statistically significantly associated with risk. A score based on the panel showed a linear dose-response trend with risk (p-value = 0.0006). For shorter follow-up (≤5 yr), AUC for the score was 0.73, and for individual miRs ranged from 0.73 (miR-212) to 0.79 (miR-21-5p).PMID
28542740ae974a485f413a2113503eed53cd6c53
10.1002/ijc.30790
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