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@article{Duell:2017:10.1002/ijc.30790,
author = {Duell, EJ and Lujan-Barroso, L and Sala, N and McElyea, SD and Overvad, K and Tjonneland, A and Olsen, A and Weiderpass, E and Busund, L-T and Moi, L and Muller, D and Vineis, P and Aune, D and Matullo, G and Naccarati, A and Panico, S and Tagliabue, G and Tumino, R and Palli, D and Kaaks, R and Katzke, VA and Boeing, H and Bueno-de-Mesquita, HBA and Peeters, PH and Trichopoulou, A and Lagiou, P and Kotanidou, A and Travis, RC and Wareham, N and Khaw, K-T and Quiros, JR and Rodriguez-Barranco, M and Dorronsoro, M and Chirlaque, M-D and Ardanaz, E and Severi, G and Boutron-Ruault, M-C and Rebours, V and Brennan, P and Gunter, M and Scelo, G and Cote, G and Sherman, S and Korc, M},
doi = {10.1002/ijc.30790},
journal = {International Journal of Cancer},
pages = {905--915},
title = {Plasma microRNAs as biomarkers of pancreatic cancer risk in a prospective cohort study},
url = {http://dx.doi.org/10.1002/ijc.30790},
volume = {141},
year = {2017}
}

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TY  - JOUR
AB  - 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).
AU  - Duell,EJ
AU  - Lujan-Barroso,L
AU  - Sala,N
AU  - McElyea,SD
AU  - Overvad,K
AU  - Tjonneland,A
AU  - Olsen,A
AU  - Weiderpass,E
AU  - Busund,L-T
AU  - Moi,L
AU  - Muller,D
AU  - Vineis,P
AU  - Aune,D
AU  - Matullo,G
AU  - Naccarati,A
AU  - Panico,S
AU  - Tagliabue,G
AU  - Tumino,R
AU  - Palli,D
AU  - Kaaks,R
AU  - Katzke,VA
AU  - Boeing,H
AU  - Bueno-de-Mesquita,HBA
AU  - Peeters,PH
AU  - Trichopoulou,A
AU  - Lagiou,P
AU  - Kotanidou,A
AU  - Travis,RC
AU  - Wareham,N
AU  - Khaw,K-T
AU  - Quiros,JR
AU  - Rodriguez-Barranco,M
AU  - Dorronsoro,M
AU  - Chirlaque,M-D
AU  - Ardanaz,E
AU  - Severi,G
AU  - Boutron-Ruault,M-C
AU  - Rebours,V
AU  - Brennan,P
AU  - Gunter,M
AU  - Scelo,G
AU  - Cote,G
AU  - Sherman,S
AU  - Korc,M
DO  - 10.1002/ijc.30790
EP  - 915
PY  - 2017///
SN  - 0020-7136
SP  - 905
TI  - Plasma microRNAs as biomarkers of pancreatic cancer risk in a prospective cohort study
T2  - International Journal of Cancer
UR  - http://dx.doi.org/10.1002/ijc.30790
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000404842200006&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/52747
VL  - 141
ER  -

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