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Sökning: id:"swepub:oai:prod.swepub.kib.ki.se:128539589" > Lipid profiles and ...

Lipid profiles and the risk of kidney cancer in the Swedish AMORIS study

Van Hemelrijck, M (författare)
Garmo, H (författare)
Hammar, N (författare)
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Walldius, G (författare)
Lambe, M (författare)
Jungner, I (författare)
Holmberg, L (författare)
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American Society of Clinical Oncology (ASCO), 2011
2011
Engelska.
Ingår i: JOURNAL OF CLINICAL ONCOLOGY. - : American Society of Clinical Oncology (ASCO). - 0732-183X .- 1527-7755. ; 29:7
  • Konferensbidrag (övrigt vetenskapligt/konstnärligt)
Abstract Ämnesord
Stäng  
  • 342 Background: Since multiple epidemiologic studies showed a link between obesity and kidney cancer (KCa), the lipid metabolism is thought to play a role in development of KCa. With the exception of cholesterol and total fat intake, the association between changes in lipid biomarkers and KCa has not often been researched. We assessed the link between lipid profiles and KCa risk in a large prospective cohort study. Methods: A cohort based on 85,261 persons (> 20 years old) with baseline measurements of glucose, triglycerides (TG), total cholesterol, HDL, LDL, apolipoprotein A-I and apoB was selected from the Swedish Apolipoprotein Mortality Risk (AMORIS) study. Multivariate Cox proportional hazards models were used to analyze associations between quartiles and dichotomized values of these lipid components and KCa risk. All models were adjusted for age, gender, socioeconomic status, fasting status, history of kidney disease prior to baseline (ICD9: 580-93), and glucose, cholesterol, and TG levels (depending on the covariate of interest). Results: During a mean follow-up of 12 years, 161 persons developed KCa (58% men). The mean age at baseline was 46 years. TG were the only lipid component for which a statistically significant association was found with risk of KCa (Hazard Ratio (HR): 1.05 (95%CI: 0.59-1.87), 1.77 (1.05-2.98), and 1.77 (1.04-3.02) for the second, third, and fourth quartile, compared to the first, with p-value for trend: 0.008). The lipid ratio of TG and HDL also showed a statistically significant positive association with risk of KCa (HR: 1.21 (0.71-2.08), 1.56 (0.94-2.58), and 1.92 (1.17-3.17) for the second, third, and fourth quartile, compared to the first, with p-value for trend: 0.004). No other associations were found between lipid components and KCa risk. Conclusions: This detailed analysis of lipid components and risk of KCa found a relation between levels of TG and KCa risk. In contrast to previous studies, we did not find an association between cholesterol levels and KCa risk. Lipid profiles based on the markers used in this study do not seem to reflect the etiological pathway that has previously been shown between obesity and KCa. Further mechanistic studies are required to assess the link between lipid deregulation and KCa. No significant financial relationships to disclose.

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