Plasma microRNAs as biomarkers of pancreatic cancer risk in a prospective cohort study
| Autor: | Nicholas J. Wareham, Giovanna Tagliabue, Paul Brennan, Salvatore Panico, Miguel Rodríguez-Barranco, Giuseppe Matullo, Alessio Naccarati, Stuart Sherman, Line Moi, Paolo Vineis, María Dolores Chirlaque, Marc J. Gunter, Pagona Lagiou, Rudolf Kaaks, Antonia Trichopoulou, David C. Muller, Verena Katzke, Gianluca Severi, Eva Ardanaz, Ghislaine Scelo, Vinciane Rebours, Murray Korc, H. Bas Bueno-de-Mesquita, Lill-Tove Busund, Elisabete Weiderpass, Samantha Deitz McElyea, Eric J. Duell, Rosario Tumino, Petra H.M. Peeters, Greg Cote, Marie-Christine Boutron-Ruault, Anne Tjønneland, José Ramón Quirós, Anastasia Kotanidou, Núria Sala, Dagfinn Aune, Anja Olsen, Ruth C. Travis, Kim Overvad, Domenico Palli, Leila Lujan-Barroso, Kay-Tee Khaw, Miren Dorronsoro, Heiner Boeing |
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| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Oncology Cancer Research medicine.medical_specialty Pathology Receiver operating characteristic business.industry Case-control study Cancer medicine.disease Logistic regression 03 medical and health sciences 030104 developmental biology 0302 clinical medicine 030220 oncology & carcinogenesis Pancreatic cancer Internal medicine Cohort medicine business Prospective cohort study Cohort study |
| Zdroj: | International Journal of Cancer. 141:905-915 |
| ISSN: | 0020-7136 |
| Popis: | 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 |
| Databáze: | OpenAIRE |
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