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- Harris, Holly, et al.
(author)
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Soluble vascular endothelial growth factor receptors 2 (sVEGFR-2) and 3 (sVEGFR-3) and breast cancer risk in the Swedish Mammography Cohort
- 2016
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In: International Journal of Molecular Epidemiology and Genetics. - 1948-1756. ; 7:1, s. 81-86
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Journal article (peer-reviewed)abstract
- Vascular endothelial growth factor (VEGF) is a signalling protein that has been established as a contributor to tumor angiogenesis, and expression of VEGF and its soluble receptors (sVEGFR2 and sVEGFR3) have been demonstrated in breast cancer cells. However, no prospective studies have examined the association between prediagnostic sVEGFR levels and breast cancer risk. We conducted a prospective case-control study nested within the Swedish Mammography Cohort examining the association between sVEGFR2 and 3 levels and breast cancer risk. The analysis included 69 incident breast cancer cases diagnosed after blood collection and 719 controls. Logistic regression models were used to calculate odds ratios and 95% confidence intervals. After adjustment for breast cancer risk factors, sVEGFR2 levels were associated with breast cancer risk (OR=1.28; 95% CI=1.06-1.56 per 1000 ng/L increase in concentration) while sVEGFR3 levels were not related to such risk (OR=1.00; 95% CI=0.93-1.07). Our results suggest that sVEGFR2 levels may be positively associated with breast cancer risk, however future studies with larger case groups are necessary to confirm this association.
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| 2. |
- Melvin, J. C., et al.
(author)
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Gamma-glutamyl transferase and c-reactive protein as alternative markers of metabolic abnormalities and their associated comorbidites : A prospective cohort study
- 2012
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In: International Journal of Molecular Epidemiology and Genetics. - 1948-1756. ; 3:4, s. 276-285
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Journal article (peer-reviewed)abstract
- Background: Recent studies suggested that gamma-glutamyl transferase (GGT) and C-reactive protein (CRP) are good markers of metabolic abnormalities. We assessed the link between GGT, CRP and common metabolic abnormalities, as well their link to related diseases, such as cancer and cardiovascular disease (CVD). Methods: We selected 333,313 subjects with baseline measurements of triglycerides (TG), total cholesterol (TC), glucose, GGT and CRP in the Swedish AMORIS study. Baseline measurement of BMI was available for 63,900 persons and 77,944 had baseline measurements of HDL. Pearson correlation coefficients between CRP, GGT, and metabolic components (TG, HDL, BMI and TC) were calculated. To investigate the combined effect of GGT and CRP we created a score ranging from 0 to 6 and used Cox proportional hazard models to evaluate its association with CVD and cancer. Results: 21,216 individuals developed cancer and 47,939 CVD. GGT and TG had the strongest correlation (r=0.22). An increased risk of cancer was identified with elevated levels of GGT or CRP or both markers (GGT-CRP score ≥3); the greatest risk of cancer was found when GGT-CRP score = 6 (HR: 1.40 (95%CI: 1.31-1.48) and 1.60 (1.47-1.76) compared to GGT-CRP score = 0, respectively). Conclusion: While GGT and CRP have been shown to be associated with metabolic abnormalities previously, their association to the components investigated in this study was limited. Results did demonstrate that these markers were predictive of associated diseases, such as cancer.
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| 5. |
- Seth, Divya, et al.
(author)
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Lipid profiles and the risk of endometrial cancer in the Swedish AMORIS study
- 2012
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In: International Journal of Molecular Epidemiology and Genetics. - 1948-1756. ; 3:2, s. 122-133
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Journal article (peer-reviewed)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.
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- van Hemelrijck, Mieke, et al.
(author)
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Biomarker-based score to predict mortality in persons aged 50 years and older : a new approach in the Swedish AMORIS study
- 2012
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In: International Journal of Molecular Epidemiology and Genetics. - 1948-1756. ; 3:1, s. 66-76
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Journal article (peer-reviewed)abstract
- BACKGROUND:Management of frailty is the cornerstone of geriatric medicine, but there remains a need to identify biomarkers that can predict early death, and thereby lead to effective clinical interventions. We aimed to study the combination of C-reactive protein (CRP), albumin, gamma-glutamyl transferase (GGT), and HDL to predict mortality.METHODS:A total of 44,457 persons aged 50+ whose levels of CRP, albumin, GGT, and HDL were measured at baseline were selected from the Swedish Apolipoprotein MOrtality RISk (AMORIS) study. A mortality score, ranging from 0 to 4, was created by adding the number of markers with abnormal values according to the clinical cut-off (CRP > 10 mg/L, albumin < 35 mg/L, GGT > 36 kU/L, HDL < 1.04 mmol/L). Mortality was studied with multivariate Cox proportional hazards models.RESULTS:2,245 persons died from cancer, 3,276 from circulatory disease, and 1,860 from other causes. There was a positive trend between mortality score and all-cause mortality as well as cancer and circulatory disease-specific death (e.g. HR for all-cause mortality: 1.39 (95%CI: 1.32-1.46), 2.04 (1.89-2.21), and 3.36 (2.87-3.93), for score=1, 2, and 3+, compared to score=0). Among cancer patients with no other co-morbidities (n=1,955), there was a positive trend between the score and mortality (HR: 1.24 (95%CI: 1.0.-1.49), 2.38 (95%CI: 1.76-3.22), and 5.47 (95%CI: 2.98-10.03) for score=1, 2, and 3+ compared to score=0).CONCLUSIONS:By combining biomarkers of different mechanisms contributing to patient frailty, we found a strong marker for mortality in persons aged 50+. Elevated risks among cancer patients with no other co-morbidities prior to biomarker assessment call for validation in other cohorts and testing of different combinations and cut-offs than those used here, in order to aid decision-making in treatment of older cancer patients.
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