Literature DB >> 22724049

Lipid profiles and the risk of endometrial cancer in the Swedish AMORIS study.

Divya Seth1, Hans Garmo, Annette Wigertz, Lars Holmberg, Niklas Hammar, Ingmar Jungner, Mats Lambe, Göran Walldius, Mieke Van Hemelrijck.   

Abstract

BACKGROUND: While the association between obesity and endometrial cancer (EC) is well established, the underlying mechanisms require further study. We assessed possible links between lipid profiles and EC risk, while also taking into account BMI, parity, and menopausal status at baseline.
METHODS: Using the information available from the Swedish Apolipoprotein MOrtality RISk (AMORIS) study we created a cohort of 225,432 women with baseline values for glucose, triglycerides (TG), and total cholesterol (TC). Two subgroups of 31,792 and 26,317 had, in addition, baseline measurements of HDL, LDL, apolipoprotein A-I and apoB and BMI, respectively. We used Multivariate Cox proportional hazards models to analyze quartiles and dichotomized values of these lipid components for a link to EC risk.
RESULTS: During mean follow-up of 12 years (SD: 4.15), 1,144 persons developed endometrial cancer. A statistically significant association was found between TG and EC risk when using both quartiles and a clinical cut-off (Hazard Ratio (HR): 1.10 (95%CI: 0.88-1.37), 1.34 (1.09-1.63), and 1.57 (1.28-1.92)) for the 2(nd), 3(rd), and 4(th) quartile, compared to the 1(st), with P-value for trend: <0.001). The association remained after exclusion of the first three years of follow-up. Also total cholesterol and TG/HDL ratio were positively associated with EC risk, but no link was found for the other lipid components studied.
CONCLUSION: This detailed analysis of lipid components showed a consistent relation between TG levels and EC risk. Future research should continue to analyze the metabolic pathway and its relation to EC risk, as a pathway to further understand the relation of obesity and disease.

Entities:  

Keywords:  Lipid profiles; Swedish AMORIS study; endometrial cancer; risk factor

Year:  2012        PMID: 22724049      PMCID: PMC3376923     

Source DB:  PubMed          Journal:  Int J Mol Epidemiol Genet        ISSN: 1948-1756


  43 in total

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