Literature DB >> 28542740

Plasma microRNAs as biomarkers of pancreatic cancer risk in a prospective cohort study.

Eric J Duell1, Leila Lujan-Barroso1, Núria Sala1, Samantha Deitz McElyea2, Kim Overvad3, Anne Tjonneland4, Anja Olsen4, Elisabete Weiderpass5,6,7,8, Lill-Tove Busund9,10, Line Moi9,10, David Muller11, Paolo Vineis11, Dagfinn Aune11, Giuseppe Matullo12,13, Alessio Naccarati12, Salvatore Panico14, Giovanna Tagliabue15, Rosario Tumino16, Domenico Palli17, Rudolf Kaaks18, Verena A Katzke18, Heiner Boeing19, H B As Bueno-de-Mesquita20,21,22, Petra H Peeters23,24, Antonia Trichopoulou25,26, Pagona Lagiou25,26,27, Anastasia Kotanidou25,28, Ruth C Travis29, Nick Wareham30, Kay-Tee Khaw30, Jose Ramon Quiros31, Miguel Rodríguez-Barranco32,33, Miren Dorronsoro33,34, María-Dolores Chirlaque33,35, Eva Ardanaz33,36,37, Gianluca Severi38,39, Marie-Christine Boutron-Ruault38,39, Vinciane Rebours40,41, Paul Brennan42, Marc Gunter42, Ghislaine Scelo42, Greg Cote43, Stuart Sherman2, Murray Korc44,45.   

Abstract

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).
© 2017 UICC.

Entities:  

Keywords:  biomarkers; cohort studies; microRNAs; pancreatic cancer

Mesh:

Substances:

Year:  2017        PMID: 28542740      PMCID: PMC5536971          DOI: 10.1002/ijc.30790

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  51 in total

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Authors:  K J Livak; T D Schmittgen
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Review 2.  Contribution of microRNA analysis to characterisation of pancreatic lesions: a review.

Authors:  Michela Visani; Giorgia Acquaviva; Sirio Fiorino; Maria Letizia Bacchi Reggiani; Michele Masetti; Enrico Franceschi; Adele Fornelli; Elio Jovine; Carlo Fabbri; Alba A Brandes; Giovanni Tallini; Annalisa Pession; Dario de Biase
Journal:  J Clin Pathol       Date:  2015-08-27       Impact factor: 3.411

3.  Detectable Symptomatology Preceding the Diagnosis of Pancreatic Cancer and Absolute Risk of Pancreatic Cancer Diagnosis.

Authors:  Harvey A Risch; Herbert Yu; Lingeng Lu; Mark S Kidd
Journal:  Am J Epidemiol       Date:  2015-06-06       Impact factor: 4.897

4.  MicroRNA-21 in pancreatic cancer: correlation with clinical outcome and pharmacologic aspects underlying its role in the modulation of gemcitabine activity.

Authors:  Elisa Giovannetti; Niccola Funel; Godefridus J Peters; Marco Del Chiaro; Leyla A Erozenci; Enrico Vasile; Leticia G Leon; Luca E Pollina; Annemieke Groen; Alfredo Falcone; Romano Danesi; Daniela Campani; Henk M Verheul; Ugo Boggi
Journal:  Cancer Res       Date:  2010-05-11       Impact factor: 12.701

5.  miR-132 and miR-212 are increased in pancreatic cancer and target the retinoblastoma tumor suppressor.

Authors:  Jong-Kook Park; Jon C Henry; Jinmai Jiang; Christine Esau; Yuriy Gusev; Megan R Lerner; Russell G Postier; Daniel J Brackett; Thomas D Schmittgen
Journal:  Biochem Biophys Res Commun       Date:  2011-02-15       Impact factor: 3.575

6.  MicroRNA expression patterns to differentiate pancreatic adenocarcinoma from normal pancreas and chronic pancreatitis.

Authors:  Mark Bloomston; Wendy L Frankel; Fabio Petrocca; Stefano Volinia; Hansjuerg Alder; John P Hagan; Chang-Gong Liu; Darshna Bhatt; Cristian Taccioli; Carlo M Croce
Journal:  JAMA       Date:  2007-05-02       Impact factor: 56.272

7.  Characterization of microRNAs in serum: a novel class of biomarkers for diagnosis of cancer and other diseases.

Authors:  Xi Chen; Yi Ba; Lijia Ma; Xing Cai; Yuan Yin; Kehui Wang; Jigang Guo; Yujing Zhang; Jiangning Chen; Xing Guo; Qibin Li; Xiaoying Li; Wenjing Wang; Yan Zhang; Jin Wang; Xueyuan Jiang; Yang Xiang; Chen Xu; Pingping Zheng; Juanbin Zhang; Ruiqiang Li; Hongjie Zhang; Xiaobin Shang; Ting Gong; Guang Ning; Jun Wang; Ke Zen; Junfeng Zhang; Chen-Yu Zhang
Journal:  Cell Res       Date:  2008-10       Impact factor: 25.617

8.  MicroRNA-21 is induced early in pancreatic ductal adenocarcinoma precursor lesions.

Authors:  Maël Chalret du Rieu; Jérôme Torrisani; Janick Selves; Talal Al Saati; Anny Souque; Marlène Dufresne; Gregory J Tsongalis; Arief A Suriawinata; Nicolas Carrère; Louis Buscail; Pierre Cordelier
Journal:  Clin Chem       Date:  2010-01-21       Impact factor: 8.327

9.  European Prospective Investigation into Cancer and Nutrition (EPIC): study populations and data collection.

Authors:  E Riboli; K J Hunt; N Slimani; P Ferrari; T Norat; M Fahey; U R Charrondière; B Hémon; C Casagrande; J Vignat; K Overvad; A Tjønneland; F Clavel-Chapelon; A Thiébaut; J Wahrendorf; H Boeing; D Trichopoulos; A Trichopoulou; P Vineis; D Palli; H B Bueno-De-Mesquita; P H M Peeters; E Lund; D Engeset; C A González; A Barricarte; G Berglund; G Hallmans; N E Day; T J Key; R Kaaks; R Saracci
Journal:  Public Health Nutr       Date:  2002-12       Impact factor: 4.022

10.  Mir-155 promotes cervical cancer cell proliferation through suppression of its target gene LKB1.

Authors:  Guoying Lao; Ping Liu; Qiongwei Wu; Wenying Zhang; Yu Liu; Longtao Yang; Chengbin Ma
Journal:  Tumour Biol       Date:  2014-08-26
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  21 in total

1.  Curcumol inhibits the growth of xenograft-tumors in mice and the biological activities of pancreatic cancer cells by regulating the miR-21-5p/SMAD7 axis.

Authors:  Songlin Fang; Lezeng Wang; Chunmei Luo; Hang Yi; Xiangrui Wang; Bo Ning
Journal:  Cell Cycle       Date:  2022-03-06       Impact factor: 5.173

2.  Diagnostic Value of Plasma miR-181b, miR-196a, and miR-210 Combination in Pancreatic Cancer.

Authors:  Gongpan Liu; Cunhua Shao; Anyun Li; Xiaobin Zhang; Xingjun Guo; Jiangong Li
Journal:  Gastroenterol Res Pract       Date:  2020-08-06       Impact factor: 2.260

3.  Validation of Biomarkers for Early Detection of Pancreatic Cancer: Summary of The Alliance of Pancreatic Cancer Consortia for Biomarkers for Early Detection Workshop.

Authors:  Matthew R Young; Paul D Wagner; Sharmistha Ghosh; Jo Ann Rinaudo; Stuart G Baker; Kenneth S Zaret; Michael Goggins; Sudhir Srivastava
Journal:  Pancreas       Date:  2018-02       Impact factor: 3.327

Review 4.  Novel biomarkers and endoscopic techniques for diagnosing pancreaticobiliary malignancy.

Authors:  Margaret G Keane; Amar Shah; Stephen P Pereira; Deepak Joshi
Journal:  F1000Res       Date:  2017-09-05

5.  A two-microRNA signature as a diagnostic and prognostic marker of pancreatic adenocarcinoma.

Authors:  Yang Yu; Xiao Feng; Shundong Cang
Journal:  Cancer Manag Res       Date:  2018-06-13       Impact factor: 3.989

6.  Correlation of Expression Levels of Micro Ribonucleic Ccid-10b (miR-10b) and Micro Ribonucleic Acid-181b (miR-181b) with Gastric Cancer and Its Diagnostic Significance.

Authors:  Ying Gao; Zhicai Xu; Fei Yuan; Minglei Li
Journal:  Med Sci Monit       Date:  2018-11-07

7.  Clinical Impact of Epithelial-to-Mesenchymal Transition Regulating MicroRNAs in Pancreatic Ductal Adenocarcinoma.

Authors:  Sameer Abdallah Dhayat; Max Michael Traeger; Jan Rehkaemper; Anda Jana Stroese; Konrad Steinestel; Eva Wardelmann; Iyad Kabar; Norbert Senninger
Journal:  Cancers (Basel)       Date:  2018-09-13       Impact factor: 6.639

8.  MicroRNA-17 as a promising diagnostic biomarker of gastric cancer: An investigation combining TCGA, GEO, meta-analysis, and bioinformatics.

Authors:  GaoFeng Hu; QianWen Lv; JiaXiu Yan; LiJun Chen; Juan Du; Ke Zhao; Wei Xu
Journal:  FEBS Open Bio       Date:  2018-08-30       Impact factor: 2.693

9.  High levels of serum glypican-1 indicate poor prognosis in pancreatic ductal adenocarcinoma.

Authors:  Cong-Ya Zhou; Yi-Ping Dong; Xiao Sun; Xin Sui; Hong Zhu; Ya-Qin Zhao; Yuan-Yuan Zhang; Clifford Mason; Qing Zhu; Su-Xia Han
Journal:  Cancer Med       Date:  2018-10-24       Impact factor: 4.452

Review 10.  Glycoprotein biomarkers for the detection of pancreatic ductal adenocarcinoma.

Authors:  Esther Llop; Pedro E Guerrero; Adrià Duran; Sílvia Barrabés; Anna Massaguer; María José Ferri; Maite Albiol-Quer; Rafael de Llorens; Rosa Peracaula
Journal:  World J Gastroenterol       Date:  2018-06-28       Impact factor: 5.742

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