Lack of association for reported endocrine pancreatic cancer risk loci in the PANDoRA consortium

• Verfasst von: Campa, Daniele [VerfasserIn]
• Verfasst von: Strobel, Oliver [VerfasserIn]
• Verfasst von: Hackert, Thilo [VerfasserIn]
• Titel: Lack of association for reported endocrine pancreatic cancer risk loci in the PANDoRA consortium
• Verf.angabe: Daniele Campa, Ofure Obazee, Manuela Pastore, Francesco Panzuto, Valbona Liço, William Greenhalf, Verena Katzke, Francesca Tavano, Eithne Costello, Vincenzo Corbo, Renata Talar-Wojnarowska, Oliver Strobel, Carlo Federico Zambon, John P. Neoptolemos, Giulia Zerboni, Rudolf Kaaks, Timothy J. Key, Carlo Lombardo, Krzysztof Jamroziak, Domenica Gioffreda, Thilo Hackert, Kay-Tee Khaw, Stefano Landi, Anna Caterina Milanetto, Luca Landoni, Rita T. Lawlor, Franco Bambi, Felice Pirozzi, Daniela Basso, Claudio Pasquali, Gabriele Capurso, Federico Canzian
• Umfang: 3 S.
• Fussnoten: Gesehen am 11.04.2018
• Titel Quelle: Enthalten in: Cancer epidemiology, biomarkers & prevention
• Jahr Quelle: 2017
• Band/Heft Quelle: 26(2017), 8, S. 1349-1351
• ISSN Quelle: 1538-7755
• DOI: doi:10.1158/1055-9965.EPI-17-0075
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1571911626

Abstract

Background: Pancreatic neuroendocrine tumors (PNETs) are rare neoplasms for which very little is known about either environmental or genetic risk factors. Only a handful of association studies have been performed so far, suggesting a small number of risk loci.Methods: To replicate the best findings, we have selected 16 SNPs suggested in previous studies to be relevant in PNET etiogenesis. We genotyped the selected SNPs (rs16944, rs1052536, rs1059293, rs1136410, rs1143634, rs2069762, rs2236302, rs2387632, rs3212961, rs3734299, rs3803258, rs4962081, rs7234941, rs7243091, rs12957119, and rs1800629) in 344 PNET sporadic cases and 2,721 controls in the context of the PANcreatic Disease ReseArch (PANDoRA) consortium.Results: After correction for multiple testing, we did not observe any statistically significant association between the SNPs and PNET risk. We also used three online bioinformatic tools (HaploReg, RegulomeDB, and GTEx) to predict a possible functional role of the SNPs,but we did not observe any clear indication.Conclusions: None of the selected SNPs were convincingly associated with PNET risk in the PANDoRA consortium.Impact: We can exclude a major role of the selected polymorphisms in PNET etiology, and this highlights the need for replication of epidemiologic findings in independent populations, especially in rare diseases such as PNETs. Cancer Epidemiol Biomarkers Prev; 26(8); 1349-51. ©2017 AACR.