title: Metabolic factors and blood cancers among 578,000 adults in the metabolic syndrome and cancer project (Me-Can).
abstract: We investigated associations between metabolic factors and blood cancer subtypes. Data on body mass index (BMI), blood pressure, blood glucose, total cholesterol, and triglycerides from seven prospective cohorts were pooled (n = 578,700; mean age = 44 years). Relative risks of blood cancers were calculated from Cox regression models. During mean follow-up of 12 years, 2,751 incident and 1,070 fatal cases of blood cancers occurred. Overall, higher BMI was associated with an increased blood cancer risk. In gender-specific subgroup analyses, BMI was positively associated with blood cancer risk (p = 0.002), lymphoid neoplasms (p = 0.01), and Hodgkin's lymphoma (p = 0.02) in women. Further associations with BMI were found for high-grade B-cell lymphoma (p = 0.02) and chronic lymphatic leukemia in men (p = 0.05) and women (p = 0.01). Higher cholesterol levels were inversely associated with myeloid neoplasms in women (p = 0.01), particularly acute myeloid leukemia (p = 0.003), and glucose was positively associated with chronic myeloid leukemia in women (p = 0.03). In men, glucose was positively associated with risk of high-grade B-cell lymphoma and multiple myeloma, while cholesterol was inversely associated with low-grade B-cell lymphoma. The metabolic syndrome score was related to 48 % increased risk of Hodgkin's lymphoma among women. BMI showed up as the most consistent risk factor, particularly in women. A clear pattern was not found for other metabolic factors.
authors.affiliation: Institute of Epidemiology and Medical Biometry, Ulm University, Helmholtzstr 22, 89081 Ulm, Germany. gabriele.nagel@uni-ulm.de
authors.forename: Gabriele
authors.initials: G
authors.lastname: Nagel
authors.forename: Tanja
authors.initials: T
authors.lastname: Stocks
authors.forename: Daniela
authors.initials: D
authors.lastname: Späth
authors.forename: Anette
authors.initials: A
authors.lastname: Hjartåker
authors.forename: Björn
authors.initials: B
authors.lastname: Lindkvist
authors.forename: Göran
authors.initials: G
authors.lastname: Hallmans
authors.forename: Håkan
authors.initials: H
authors.lastname: Jonsson
authors.forename: Tone
authors.initials: T
authors.lastname: Bjørge
authors.forename: Jonas
authors.initials: J
authors.lastname: Manjer
authors.forename: Christel
authors.initials: C
authors.lastname: Häggström
authors.forename: Anders
authors.initials: A
authors.lastname: Engeland
authors.forename: Hanno
authors.initials: H
authors.lastname: Ulmer
authors.forename: Randi
authors.initials: R
authors.lastname: Selmer
authors.forename: Hans
authors.initials: H
authors.lastname: Concin
authors.forename: Pär
authors.initials: P
authors.lastname: Stattin
authors.forename: Richard F
authors.initials: RF
authors.lastname: Schlenk
mesh_terms: D000328:Adult; D001786:Blood Glucose / Q000378:metabolism*; D015992:Body Mass Index; D015331:Cohort Studies; D005260:Female; D005500:Follow-Up Studies; D019337:Hematologic Neoplasms / Q000097:blood / Q000453:epidemiology* / Q000378:metabolism*; D006801:Humans; D008297:Male; D024821:Metabolic Syndrome / Q000097:blood / Q000453:epidemiology* / Q000378:metabolism*; D008875:Middle Aged
chemical_list: D001786:Blood Glucose