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Metabolic factors associated with risk of renal cell carcinoma.

Häggström C, Rapp K, Stocks T, Manjer J, Bjørge T, Ulmer H, Engeland A, Almqvist M, Concin H, Selmer R, Ljungberg B, Tretli S, Nagel G, Hallmans G, Jonsson H, Stattin P - PLoS ONE (2013)

Bottom Line: Among women we found an increased risk of RCC for BMI, highest vs. lowest quintile, (HR = 2.21, 95% CI 1.32-3.70) and the composite score, (HR = 2.29, 95% CI 1.12-4.68).No multiplicative statistical or biological interactions between metabolic factors on risk of RCC were found.High levels of BMI, blood pressure, glucose and triglycerides among men and high BMI among women were associated with increased risk of RCC.

View Article: PubMed Central - PubMed

Affiliation: Department of Surgical and Perioperative sciences, Urology and Andrology, Umeå University, Umeå, Sweden. christel.haggstrom@urologi.umu.se

ABSTRACT
Previous studies have shown that obesity and hypertension are associated with increased risk of renal cell carcinoma (RCC), but less is known about the association to other metabolic factors. In the Metabolic Syndrome and Cancer project (Me-Can) data on body mass index (BMI, kg/m2), blood pressure, and circulating levels of glucose, cholesterol, and triglycerides were collected from 560,388 men and women in cohorts from Norway, Austria, and Sweden. By use of Cox proportional hazard models, hazard ratios (HR) were calculated for separate and composite metabolic exposures. During a median follow-up of 10 years, 592 men and 263 women were diagnosed with RCC. Among men, we found an increased risk of RCC for BMI, highest vs. lowest quintile, (HR = 1.51, 95% CI 1.13-2.03), systolic blood pressure, (HR = 3.40, 95% CI 1.91-6.06), diastolic blood pressure, (HR = 3.33, 95% CI 1.85-5.99), glucose, (HR = 3.75, 95% CI 1.46-9.68), triglycerides, (HR = 1.79, 95% CI 1.00-3.21) and a composite score of these metabolic factors, (HR = 2.68, 95% CI 1.75-4.11). Among women we found an increased risk of RCC for BMI, highest vs. lowest quintile, (HR = 2.21, 95% CI 1.32-3.70) and the composite score, (HR = 2.29, 95% CI 1.12-4.68). High levels of the composite score were also associated with risk of death from RCC among both men and women. No multiplicative statistical or biological interactions between metabolic factors on risk of RCC were found. High levels of BMI, blood pressure, glucose and triglycerides among men and high BMI among women were associated with increased risk of RCC.

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Risk of RCC by exposures in z-scores A) among men, B) among women.Model 1: Cox regression models were adjusted for smoking, categories of birth year, age at measurement and stratified for cohort. Regression dilution ratio was used for random error correction, could be transformed back to original data by: HRoriginal = elog(HRcorrected)*RDR. RDR for BMI = 0.902, Mid blood pressure = 0.544, Glucose (log) = 0.278, Cholesterol = 0.657, Triglycerides (log) = 0.505, Composite score = 0.688. Model 2: Cox regression models were adjusted for all single exposures, smoking, categories of birth year, age at measurement and stratified for cohort using z-scores corrected for random errors by regression calibration.
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pone-0057475-g001: Risk of RCC by exposures in z-scores A) among men, B) among women.Model 1: Cox regression models were adjusted for smoking, categories of birth year, age at measurement and stratified for cohort. Regression dilution ratio was used for random error correction, could be transformed back to original data by: HRoriginal = elog(HRcorrected)*RDR. RDR for BMI = 0.902, Mid blood pressure = 0.544, Glucose (log) = 0.278, Cholesterol = 0.657, Triglycerides (log) = 0.505, Composite score = 0.688. Model 2: Cox regression models were adjusted for all single exposures, smoking, categories of birth year, age at measurement and stratified for cohort using z-scores corrected for random errors by regression calibration.

Mentions: In z-score analysis among men, we found the same risk factors as found for quintile analyses using model 1 (Figure 1a). After including other exposures to the model the association between BMI and risk of RCC was mainly attenuated after inclusion of triglycerides but also after including blood pressure and glucose into the model, and the association between glucose and risk was attenuated by inclusion of triglycerides. Calculated per unit increase, the associations for mid blood pressure (HR = 1.37, 95% CI 1.18–1.59) and triglycerides, (HR = 1.22, 95% CI 1.00–1.50) and risk of RCC remained after adjustment for all other factors and smoking in model 2 (Figure 1a).


Metabolic factors associated with risk of renal cell carcinoma.

Häggström C, Rapp K, Stocks T, Manjer J, Bjørge T, Ulmer H, Engeland A, Almqvist M, Concin H, Selmer R, Ljungberg B, Tretli S, Nagel G, Hallmans G, Jonsson H, Stattin P - PLoS ONE (2013)

Risk of RCC by exposures in z-scores A) among men, B) among women.Model 1: Cox regression models were adjusted for smoking, categories of birth year, age at measurement and stratified for cohort. Regression dilution ratio was used for random error correction, could be transformed back to original data by: HRoriginal = elog(HRcorrected)*RDR. RDR for BMI = 0.902, Mid blood pressure = 0.544, Glucose (log) = 0.278, Cholesterol = 0.657, Triglycerides (log) = 0.505, Composite score = 0.688. Model 2: Cox regression models were adjusted for all single exposures, smoking, categories of birth year, age at measurement and stratified for cohort using z-scores corrected for random errors by regression calibration.
© Copyright Policy
Related In: Results  -  Collection

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getmorefigures.php?uid=PMC3585341&req=5

pone-0057475-g001: Risk of RCC by exposures in z-scores A) among men, B) among women.Model 1: Cox regression models were adjusted for smoking, categories of birth year, age at measurement and stratified for cohort. Regression dilution ratio was used for random error correction, could be transformed back to original data by: HRoriginal = elog(HRcorrected)*RDR. RDR for BMI = 0.902, Mid blood pressure = 0.544, Glucose (log) = 0.278, Cholesterol = 0.657, Triglycerides (log) = 0.505, Composite score = 0.688. Model 2: Cox regression models were adjusted for all single exposures, smoking, categories of birth year, age at measurement and stratified for cohort using z-scores corrected for random errors by regression calibration.
Mentions: In z-score analysis among men, we found the same risk factors as found for quintile analyses using model 1 (Figure 1a). After including other exposures to the model the association between BMI and risk of RCC was mainly attenuated after inclusion of triglycerides but also after including blood pressure and glucose into the model, and the association between glucose and risk was attenuated by inclusion of triglycerides. Calculated per unit increase, the associations for mid blood pressure (HR = 1.37, 95% CI 1.18–1.59) and triglycerides, (HR = 1.22, 95% CI 1.00–1.50) and risk of RCC remained after adjustment for all other factors and smoking in model 2 (Figure 1a).

Bottom Line: Among women we found an increased risk of RCC for BMI, highest vs. lowest quintile, (HR = 2.21, 95% CI 1.32-3.70) and the composite score, (HR = 2.29, 95% CI 1.12-4.68).No multiplicative statistical or biological interactions between metabolic factors on risk of RCC were found.High levels of BMI, blood pressure, glucose and triglycerides among men and high BMI among women were associated with increased risk of RCC.

View Article: PubMed Central - PubMed

Affiliation: Department of Surgical and Perioperative sciences, Urology and Andrology, Umeå University, Umeå, Sweden. christel.haggstrom@urologi.umu.se

ABSTRACT
Previous studies have shown that obesity and hypertension are associated with increased risk of renal cell carcinoma (RCC), but less is known about the association to other metabolic factors. In the Metabolic Syndrome and Cancer project (Me-Can) data on body mass index (BMI, kg/m2), blood pressure, and circulating levels of glucose, cholesterol, and triglycerides were collected from 560,388 men and women in cohorts from Norway, Austria, and Sweden. By use of Cox proportional hazard models, hazard ratios (HR) were calculated for separate and composite metabolic exposures. During a median follow-up of 10 years, 592 men and 263 women were diagnosed with RCC. Among men, we found an increased risk of RCC for BMI, highest vs. lowest quintile, (HR = 1.51, 95% CI 1.13-2.03), systolic blood pressure, (HR = 3.40, 95% CI 1.91-6.06), diastolic blood pressure, (HR = 3.33, 95% CI 1.85-5.99), glucose, (HR = 3.75, 95% CI 1.46-9.68), triglycerides, (HR = 1.79, 95% CI 1.00-3.21) and a composite score of these metabolic factors, (HR = 2.68, 95% CI 1.75-4.11). Among women we found an increased risk of RCC for BMI, highest vs. lowest quintile, (HR = 2.21, 95% CI 1.32-3.70) and the composite score, (HR = 2.29, 95% CI 1.12-4.68). High levels of the composite score were also associated with risk of death from RCC among both men and women. No multiplicative statistical or biological interactions between metabolic factors on risk of RCC were found. High levels of BMI, blood pressure, glucose and triglycerides among men and high BMI among women were associated with increased risk of RCC.

Show MeSH
Related in: MedlinePlus