BACKGROUND: The aim of this study was to investigate the association between factors in metabolic syndrome (MetS; single and combined) and the risk of pancreatic cancer. METHODS: The Metabolic Syndrome and Cancer Project is a pooled cohort containing data on body mass index, blood pressure, and blood levels of glucose, cholesterol, and triglycerides. During follow-up, 862 individuals were diagnosed with pancreatic cancer. Cox proportional hazards analysis was used to calculate relative risks (RR) with 95% confidence intervals using the above-mentioned factors categorized into quintiles and transformed into z-scores. All z-scores were summarized and a second z-transformation creating a composite z-score for MetS was done. All risk estimates were calibrated to correct for a regression dilution bias. RESULTS: The trend over quintiles was positively associated with the risk of pancreatic cancer for mid-blood pressure (mid-BP) and glucose in men and for body mass index, mid-BP, and glucose in women. The z-score for the adjusted mid-BP (RR, 1.10; 1.01-1.20) and the calibrated z-score for glucose (RR, 1.37; 1.14-1.34) were positively associated with pancreatic cancer in men. In women, a positive association was found for calibrated z-scores for mid-BP (RR, 1.34; 1.08-1.66), for the calibrated z-score for glucose (RR, 1.98; 1.41-2.76), and for the composite z-score for MetS (RR, 1.58; 1.34-1.87). CONCLUSION: Our study adds further evidence to a possible link between abnormal glucose metabolism and risk of pancreatic cancer. IMPACT: To our knowledge, this is the first study on MetS and pancreatic cancer using prediagnostic measurements of the examined factors.
BACKGROUND: The aim of this study was to investigate the association between factors in metabolic syndrome (MetS; single and combined) and the risk of pancreatic cancer. METHODS: The Metabolic Syndrome and Cancer Project is a pooled cohort containing data on body mass index, blood pressure, and blood levels of glucose, cholesterol, and triglycerides. During follow-up, 862 individuals were diagnosed with pancreatic cancer. Cox proportional hazards analysis was used to calculate relative risks (RR) with 95% confidence intervals using the above-mentioned factors categorized into quintiles and transformed into z-scores. All z-scores were summarized and a second z-transformation creating a composite z-score for MetS was done. All risk estimates were calibrated to correct for a regression dilution bias. RESULTS: The trend over quintiles was positively associated with the risk of pancreatic cancer for mid-blood pressure (mid-BP) and glucose in men and for body mass index, mid-BP, and glucose in women. The z-score for the adjusted mid-BP (RR, 1.10; 1.01-1.20) and the calibrated z-score for glucose (RR, 1.37; 1.14-1.34) were positively associated with pancreatic cancer in men. In women, a positive association was found for calibrated z-scores for mid-BP (RR, 1.34; 1.08-1.66), for the calibrated z-score for glucose (RR, 1.98; 1.41-2.76), and for the composite z-score for MetS (RR, 1.58; 1.34-1.87). CONCLUSION: Our study adds further evidence to a possible link between abnormal glucose metabolism and risk of pancreatic cancer. IMPACT: To our knowledge, this is the first study on MetS and pancreatic cancer using prediagnostic measurements of the examined factors.
Authors: Guido Eibl; Zobeida Cruz-Monserrate; Murray Korc; Maxim S Petrov; Mark O Goodarzi; William E Fisher; Aida Habtezion; Aurelia Lugea; Stephen J Pandol; Phil A Hart; Dana K Andersen Journal: J Acad Nutr Diet Date: 2017-09-12 Impact factor: 4.910
Authors: Jeanine M Genkinger; Ruifeng Li; Donna Spiegelman; Kristin E Anderson; Demetrius Albanes; Leif Bergkvist; Leslie Bernstein; Amanda Black; Piet A van den Brandt; Dallas R English; Jo L Freudenheim; Charles S Fuchs; Graham G Giles; Edward Giovannucci; R Alexandra Goldbohm; Pamela L Horn-Ross; Eric J Jacobs; Anita Koushik; Satu Männistö; James R Marshall; Anthony B Miller; Alpa V Patel; Kim Robien; Thomas E Rohan; Catherine Schairer; Rachael Stolzenberg-Solomon; Alicja Wolk; Regina G Ziegler; Stephanie A Smith-Warner Journal: Cancer Epidemiol Biomarkers Prev Date: 2011-12-22 Impact factor: 4.254
Authors: Carolina Torres; Georgina Mancinelli; Jose Cordoba-Chacon; Navin Viswakarma; Karla Castellanos; Sam Grimaldo; Sandeep Kumar; Daniel Principe; Matthew J Dorman; Ronald McKinney; Emilio Hirsch; David Dawson; Hidayatullah G Munshi; Ajay Rana; Paul J Grippo Journal: Proc Natl Acad Sci U S A Date: 2019-07-02 Impact factor: 11.205
Authors: C M Lack; G J Lesser; U N Umesi; J Bowns; M Y Chen; D Case; R C Hightower; A J Johnson Journal: Clin Radiol Date: 2016-01-12 Impact factor: 2.350
Authors: J M Genkinger; C M Kitahara; L Bernstein; A Berrington de Gonzalez; M Brotzman; J W Elena; G G Giles; P Hartge; P N Singh; R Z Stolzenberg-Solomon; E Weiderpass; H-O Adami; K E Anderson; L E Beane-Freeman; J E Buring; G E Fraser; C S Fuchs; S M Gapstur; J M Gaziano; K J Helzlsouer; J V Lacey; M S Linet; J J Liu; Y Park; U Peters; M P Purdue; K Robien; C Schairer; H D Sesso; K Visvanathan; E White; A Wolk; B M Wolpin; A Zeleniuch-Jacquotte; E J Jacobs Journal: Ann Oncol Date: 2015-09-07 Impact factor: 32.976