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  • 1
    Keywords: cohort study ; EPIDEMIOLOGY ; HEPATOCELLULAR-CARCINOMA ; hepatocellular carcinoma ; UNITED-STATES ; DIABETES-MELLITUS ; ALCOHOL-CONSUMPTION ; INCIDENCE RATES ; VIRUS-INFECTION ; metabolic syndrome ; US ADULTS ; REGRESSION DILUTION ; INTERNATIONAL TRENDS ; intrahepatic cholangiocarcinoma ; TOTAL SERUM-CHOLESTEROL
    Abstract: Initial studies have indicated diabetes and obesity to be risk factors for hepatocellular carcinoma; but the association between other metabolic risk factors and primary liver cancer (PLC) has not been investigated. The metabolic syndrome and cancer project (Me-Can) includes cohorts from Norway, Austria and Sweden with data on 578,700 subjects. We used Cox proportional hazard models to calculate relative risks (RRs) of PLC by body mass index (BMI), blood pressure and plasma levels of glucose, cholesterol and triglycerides as continuous standardized variables (z-score with mean = 0 and standard deviation (SD) = 1) and their standardized sum of metabolic syndrome (MetS) z-score. RRs were corrected for random error in measurements. During an average follow-up of 12.0 years (SD = 7.8), 266 PLCs were diagnosed among cohort members. RR of liver cancer per unit increment of z-score adjusted for age, smoking status and BMI and stratified by birth year, sex and sub-cohorts, was for BMI 1.39 (95% confidence interval (CI) 1.24-1.58), mid blood pressure 2.08 (0.95-4.73), blood glucose 2.13 (1.55-2.94) cholesterol 0.62 (0.51-0.76) and serum triglycerides 0.85 (0.65-1.10). The RR per one unit increment of the MetS z-score was 1.35 (1.12-1.61). BMI, glucose and a composite MetS score were positively and cholesterol negatively associated with risk of liver cancer.
    Type of Publication: Journal article published
    PubMed ID: 21805476
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  • 2
    Keywords: FOLLOW-UP ; COHORT ; MORTALITY ; BLOOD-PRESSURE ; DIABETES-MELLITUS ; METAANALYSIS ; BODY-MASS INDEX ; CUTANEOUS MALIGNANT-MELANOMA ; BASAL-CELL CARCINOMA ; REGRESSION DILUTION
    Abstract: Background Little is known about the associations of metabolic aberrations with malignant melanoma (MM) and nonmelanoma skin cancer (NMSC). Objectives To assess the associations between metabolic factors (both individually and combined) and the risk of skin cancer in the large prospective Metabolic Syndrome and Cancer Project (Me-Can). Methods During a mean follow-up of 12 years of the Me-Can cohort, 1728 (41% women) incident MM, 230 (23% women) fatal MM and 1145 (33% women) NMSC were identified. Most NMSC cases (76%) were squamous cell carcinoma (SCC) (873, 33% women). Hazard ratios (HRs) were estimated by Cox proportional hazards regression for quintiles and standardized z-scores (with a mean of 0 and SD of 1) of body mass index (BMI), blood pressure, glucose, cholesterol, triglycerides and for a combined metabolic syndrome score. Risk estimates were corrected for random error in the measurements. Results Blood pressure per unit increase of z-score was associated with an increased risk of incident MM cases in men and women [HR 1.17, 95% confidence interval (CI) 1.04-1.31 and HR 1.18, 95% CI 1.03-1.36, respectively] and fatal MM cases among women (HR 2.39, 95% CI 1.58-3.64). In men, all quintiles for BMI above the reference were associated with a higher risk of incident MM. In women, SCC NMSC risk increased across quintiles for glucose levels (P-trend 0.02) and there was a trend with triglyceride concentration (P-trend 0.09). Conclusion These findings suggest that mechanisms linked to blood pressure may be involved in the pathogenesis of MM. SCC NMSC in women could be related to glucose and lipid metabolism.
    Type of Publication: Journal article published
    PubMed ID: 22530854
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  • 3
    Keywords: CANCER ; carcinoma ; COHORT ; EPIDEMIOLOGY ; RISK ; OBESITY ; HUMAN-PAPILLOMAVIRUS ; cholesterol ; METAANALYSIS ; VULVAR CANCER ; COMPLETENESS ; REGRESSION DILUTION ; COFACTORS ; MetS ; rare gynecological cancers
    Abstract: Background: Risk factors for rare gynecological cancers are largely unknown. Initial research has indicated that the metabolic syndrome (MetS) or individual components could play a role. Materials and methods: The Metabolic syndrome and Cancer project cohort includes 288 834 women. During an average follow-up of 11 years, 82 vulvar, 26 vaginal and 43 other rare gynecological cancers were identified. Hazard ratios (HRs) were estimated fitting Cox proportional hazards regression models for tertiles and standardized z-scores [with a mean of 0 and a standard deviation (SD) of 1] of body mass index (BMI), blood pressure, glucose, cholesterol, triglycerides and MetS. Risk estimates were corrected for random error in the measurement of metabolic factors. Results: The MetS was associated with increased risk of vulvar [HR 1.78, 95% confidence interval (CI) 1.30-2.41) and vaginal cancer (HR 1.87, 95% CI 1.07-3.25). Among separate MetS components, 1 SD increase in BMI was associated with overall risk (HR 1.43, 95% CI 1.23-1.66), vulvar (HR 1.36, 95% CI 1.11-1.69) and vaginal cancer (HR 1.79, 95% CI 1.30-2.46). Blood glucose and triglyceride concentrations were associated with increased risk of vulvar cancer (HR 1.98, 95% CI 1.10-3.58 and HR 2.09, 95% CI 1.39-3.15, respectively). Conclusion: The results from this first prospective study on rare gynecological cancers suggest that the MetS and its individual components may play a role in the development of these tumors
    Type of Publication: Journal article published
    PubMed ID: 20966183
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  • 4
    Keywords: CANCER ; GROWTH-FACTOR ; carcinoma ; COHORT ; EPIDEMIOLOGY ; RISK ; RISK-FACTORS ; score ; WOMEN ; OBESITY ; cervical cancer ; HUMAN-PAPILLOMAVIRUS ; SQUAMOUS-CELL CARCINOMA ; adenocarcinoma ; UTERINE CERVIX ; PROJECT ; metabolic syndrome ; COMPLETENESS ; REGRESSION DILUTION ; CONOR ; Squamous cell ; Metabolic factors
    Abstract: Background. Little is known about the association between metabolic risk factors and cervical cancer carcinogenesis. Material and methods. During mean follow-up of 11 years of the Me-Can cohort (N = 288,834) 425 invasive cervical cancer cases were diagnosed. Hazard ratios (HRs) were estimated by the use of Cox proportional hazards regression models for quintiles and standardized z-scores (with a mean of 0 and a SD of 1) of BMI, blood pressure, glucose, cholesterol, triglycerides and MetS score. Risk estimates were corrected for random error in the measurements. Results. BMI (per 1SD increment) was associated with 12%, increase of cervical cancer risk, blood pressure with 25% and triglycerides with 39%, respectively. In models including all metabolic factors, the associations for blood pressure and triglycerides persisted. The metabolic syndrome (MetS) score was associated with 26% increased corrected risk of cervical cancer. Triglycerides were stronger associated with squamous cell carcinoma (HR 1.48; 95% CI, 1.20-1.83) than with adenocarcinoma (0.92, 0.54-1.56). Among older women cholesterol (50-70 years 1.34; 1.00-1.81), triglycerides (50-70 years 1.49, 1.03-2.16 and 〉= 70 years 1.54, 1.09-2.19) and glucose (〉= 70 years 1.87, 1.13-3.11) were associated with increased cervical cancer risk. Conclusion. The presence of obesity, elevated blood pressure and triglycerides were associated with increased risk of cervical cancer.
    Type of Publication: Journal article published
    PubMed ID: 22330614
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  • 5
    Abstract: BACKGROUND: The relationship between body size and prostate cancer risk, and in particular risk by tumour characteristics, is not clear because most studies have not differentiated between high-grade or advanced stage tumours, but rather have assessed risk with a combined category of aggressive disease. We investigated the association of height and adiposity with incidence of and death from prostate cancer in 141,896 men in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. METHODS: Multivariable-adjusted Cox proportional hazards models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs). After an average of 13.9 years of follow-up, there were 7024 incident prostate cancers and 934 prostate cancer deaths. RESULTS: Height was not associated with total prostate cancer risk. Subgroup analyses showed heterogeneity in the association with height by tumour grade (P heterogeneity = 0.002), with a positive association with risk for high-grade but not low-intermediate-grade disease (HR for high-grade disease tallest versus shortest fifth of height, 1.54; 95% CI, 1.18-2.03). Greater height was also associated with a higher risk for prostate cancer death (HR = 1.43, 1.14-1.80). Body mass index (BMI) was significantly inversely associated with total prostate cancer, but there was evidence of heterogeneity by tumour grade (P heterogeneity = 0.01; HR = 0.89, 0.79-0.99 for low-intermediate grade and HR = 1.32, 1.01-1.72 for high-grade prostate cancer) and stage (P heterogeneity = 0.01; HR = 0.86, 0.75-0.99 for localised stage and HR = 1.11, 0.92-1.33 for advanced stage). BMI was positively associated with prostate cancer death (HR = 1.35, 1.09-1.68). The results for waist circumference were generally similar to those for BMI, but the associations were slightly stronger for high-grade (HR = 1.43, 1.07-1.92) and fatal prostate cancer (HR = 1.55, 1.23-1.96). CONCLUSIONS: The findings from this large prospective study show that men who are taller and who have greater adiposity have an elevated risk of high-grade prostate cancer and prostate cancer death.
    Type of Publication: Journal article published
    PubMed ID: 28701188
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  • 6
    Keywords: CANCER ; BLOOD ; FOLLOW-UP ; CANCER MORTALITY ; COHORT ; DEATH ; DISEASE ; incidence ; MORTALITY ; RISK ; RISKS ; IMPACT ; RISK-FACTORS ; BIOMARKERS ; ASSOCIATION ; BREAST ; breast cancer ; BREAST-CANCER ; prevention ; HEALTH ; AGE ; WOMEN ; OBESITY ; SWEDEN ; cancer risk ; HYPERTENSION ; PROJECT ; body mass index ; POSTMENOPAUSAL WOMEN ; ONCOLOGY ; REGRESSION ; WEIGHT ; CARDIOVASCULAR-DISEASE ; METAANALYSIS ; biomarker ; methods ; metabolic syndrome ; blood pressure ; CANCER INCIDENCE ; PREMENOPAUSAL ; INCREASED RISK ; CANCER-RISK ; CANCER-MORTALITY ; BODY-MASS ; breast cancer risk ; INTERVENTIONS ; COMPLETENESS ; REGRESSION DILUTION
    Abstract: Background: Few studies have assessed the metabolic syndrome (MetS) as an entity in relation to breast cancer risk, and results have been inconsistent. We aimed to examine the association between MetS factors (individually and combined) and risk of breast cancer incidence and mortality. Methods: Two hundred ninety thousand women from Austria, Norway, and Sweden were enrolled during 1974-2005, with measurements of height, weight, blood pressure, and levels of glucose, cholesterol, and triglycerides. Relative risks (RR) of breast cancer were estimated using Cox proportional hazards regression for each MetS factor in quintiles and for standardized levels (z-scores) and for a composite z-score for the MetS. Results: There were 4,862 incident cases of breast cancer and 633 deaths from breast cancer identified. In women below age 50, there was a decreased risk of incident cancer for the MetS (per 1-unit increment of z-score; RR, 0.83; 95% confidence interval, 0.76-0.90) as well as for the individual factors (except for glucose). The lowest risks were seen among the heaviest women. In women above age 60, there was an increased risk of breast cancer mortality for the MetS (RR, 1.23; 95% confidence interval, 1.04-1.45) and for blood pressure and glucose. The strongest association with mortality was seen for increased glucose concentrations. Conclusions: The MetS was associated with a decreased risk of incident breast cancer in women below age 50 with high body mass index, and with an increased risk of breast cancer mortality in women above 60. Impact: Lifestyle interventions as recommended for cardiovascular disease prevention may be of value to prevent breast cancer mortality in postmenopausal women. Cancer Epidemiol Biomarkers Prev; 19(7); 1737-45. (C) 2010 AACR
    Type of Publication: Journal article published
    PubMed ID: 20615887
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  • 7
    Keywords: CANCER ; FOLLOW-UP ; COHORT ; cohort study ; incidence ; MORTALITY ; ASSOCIATION ; AGE ; ovarian cancer ; WOMEN ; ADULTS ; PHYSICAL-ACTIVITY ; metabolic syndrome ; BODY-MASS INDEX ; SERUM-CHOLESTEROL ; REGRESSION DILUTION ; ANTHROPOMETRIC MEASURES ; CONOR
    Abstract: BACKGROUND: No studies have so far evaluated the impact of the metabolic syndrome (MetS) as an entity on ovarian cancer risk. The authors aimed to examine the association between factors in the MetS, individually and combined, and risk of ovarian cancer incidence and mortality. METHODS: Altogether, 290,000 women from Austria, Norway and Sweden were enrolled during 1974-2005, with measurements taken of height, weight, blood pressure and levels of glucose, cholesterol and triglycerides. Relative risks (RRs) of ovarian cancer were estimated using Cox regression for each MetS factor in quintiles and for standardized levels (z-scores), and for a composite z-score for the MetS. RRs were corrected for random error in measurements. RESULTS: During follow-up, 644 epithelial ovarian cancers and 388 deaths from ovarian cancer were identified. There was no overall association between MetS and ovarian cancer risk. Increasing levels of cholesterol [RR 1.52, 95% confidence interval (95% CI) 1.01-2.29, per 1-U increment of z-score] and blood pressure (RR 1.79, 95% CI 1.12-2.86) conferred, however, increased risks of mucinous and endometrioid tumours, respectively. In women below the age of 50 years, there was increased risk of ovarian cancer mortality for MetS (RR 1.52, 95% CI 1.00-2.30). Increasing levels of BMI (RR 1.17, 95% CI 1.01-1.37) conferred increased risk of ovarian cancer mortality in women above the age of 50 years. CONCLUSION: There was no overall association between MetS and ovarian cancer risk. However, increasing levels of cholesterol and blood pressure increased the risks of mucinous and endometrioid tumours, respectively. Increasing levels of BMI conferred an increased risk of ovarian cancer mortality in women above the age of 50 years.
    Type of Publication: Journal article published
    PubMed ID: 21984693
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