An Absolute Risk Model to Identify Individuals at Elevated Risk for Pancreatic Cancer in the General Population
Alison P Klein,
Sara Lindström,
Julie B Mendelsohn,
Emily Steplowski,
Alan A Arslan,
H Bas Bueno- de-Mesquita,
Charles S Fuchs,
Steven Gallinger,
Myron Gross,
Kathy Helzlsouer,
Elizabeth A Holly,
Eric J Jacobs,
Andrea LaCroix,
Donghui Li,
Margaret T Mandelson,
Sara H Olson,
Gloria M Petersen,
Harvey A Risch,
Rachael Z Stolzenberg-Solomon,
Wei Zheng,
Laufey Amundadottir,
Demetrius Albanes,
Naomi E Allen,
William R Bamlet,
Marie-Christine Boutron-Ruault,
Julie E Buring,
Paige M Bracci,
Federico Canzian,
Sandra Clipp,
Michelle Cotterchio,
Eric J Duell,
Joanne Elena,
J Michael Gaziano,
Edward L Giovannucci,
Michael Goggins,
Göran Hallmans,
Manal Hassan,
Amy Hutchinson,
David J Hunter,
Charles Kooperberg,
Robert C Kurtz,
Simin Liu,
Kim Overvad,
Domenico Palli,
Alpa V Patel,
Kari G Rabe,
Xiao-Ou Shu,
Nadia Slimani,
Geoffrey S Tobias,
Dimitrios Trichopoulos,
Stephen K Van Den Eeden,
Paolo Vineis,
Jarmo Virtamo,
Jean Wactawski-Wende,
Brian M Wolpin,
Herbert Yu,
Kai Yu,
Anne Zeleniuch-Jacquotte,
Stephen J Chanock,
Robert N Hoover,
Patricia Hartge and
Peter Kraft
PLOS ONE, 2013, vol. 8, issue 9, 1-10
Abstract:
Purpose: We developed an absolute risk model to identify individuals in the general population at elevated risk of pancreatic cancer. Patients and Methods: Using data on 3,349 cases and 3,654 controls from the PanScan Consortium, we developed a relative risk model for men and women of European ancestry based on non-genetic and genetic risk factors for pancreatic cancer. We estimated absolute risks based on these relative risks and population incidence rates. Results: Our risk model included current smoking (multivariable adjusted odds ratio (OR) and 95% confidence interval: 2.20 [1.84–2.62]), heavy alcohol use (>3 drinks/day) (OR: 1.45 [1.19–1.76]), obesity (body mass index >30 kg/m2) (OR: 1.26 [1.09–1.45]), diabetes >3 years (nested case-control OR: 1.57 [1.13–2.18], case-control OR: 1.80 [1.40–2.32]), family history of pancreatic cancer (OR: 1.60 [1.20–2.12]), non-O ABO genotype (AO vs. OO genotype) (OR: 1.23 [1.10–1.37]) to (BB vs. OO genotype) (OR 1.58 [0.97–2.59]), rs3790844(chr1q32.1) (OR: 1.29 [1.19–1.40]), rs401681(5p15.33) (OR: 1.18 [1.10–1.26]) and rs9543325(13q22.1) (OR: 1.27 [1.18–1.36]). The areas under the ROC curve for risk models including only non-genetic factors, only genetic factors, and both non-genetic and genetic factors were 58%, 57% and 61%, respectively. We estimate that fewer than 3/1,000 U.S. non-Hispanic whites have more than a 5% predicted lifetime absolute risk. Conclusion: Although absolute risk modeling using established risk factors may help to identify a group of individuals at higher than average risk of pancreatic cancer, the immediate clinical utility of our model is limited. However, a risk model can increase awareness of the various risk factors for pancreatic cancer, including modifiable behaviors.
Date: 2013
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0072311 (text/html)
https://journals.plos.org/plosone/article/file?id= ... 72311&type=printable (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0072311
DOI: 10.1371/journal.pone.0072311
Access Statistics for this article
More articles in PLOS ONE from Public Library of Science
Bibliographic data for series maintained by plosone ().