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Dataset on growth factor levels and insulin use in patients with diabetes mellitus and incident breast cancer.

ABSTRACT: Growth factor profiles could be influenced by the utilization of exogenous insulin. The data presented shows the relationship between pre-existing use of injectable insulin in women diagnosed with breast cancer and type 2 diabetes mellitus, the growth factor profiles at the time of breast cancer diagnosis, and subsequent cancer outcomes. A Pearson correlation analysis evaluating the relationship between growth factors stratified by of insulin use and controls is also provided.

SUBMITTER: Wintrob ZA

PROVIDER: S-EPMC5315441 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature

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Dataset on growth factor levels and insulin use in patients with diabetes mellitus and incident breast cancer.

Wintrob Zachary A P ZA Hammel Jeffrey P JP Nimako George K GK Gaile Dan P DP Forrest Alan A Ceacareanu Alice C AC

Data in brief 20170213

Growth factor profiles could be influenced by the utilization of exogenous insulin. The data presented shows the relationship between pre-existing use of injectable insulin in women diagnosed with breast cancer and type 2 diabetes mellitus, the growth factor profiles at the time of breast cancer diagnosis, and subsequent cancer outcomes. A Pearson correlation analysis evaluating the relationship between growth factors stratified by of insulin use and controls is also provided. ...[more]

PMID: 28239632

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Project description:Aims/introductionMilk fat globule-epidermal growth factor 8 (MFG-E8) is the key mediator in anti-inflammatory responses that facilitate phagocytosis of apoptotic cells, and play an essential role in type 2 diabetes and pregnancy, both of which are under a low-grade inflammatory state. However, the action of MFG-E8 in gestational diabetes mellitus (GDM) is unclear. We measured plasma MFG-E8 levels in pregnancy and GDM for the first time, and elucidated possible relationships between its plasma levels and various metabolic parameters.Materials and methodsPlasma MFG-E8 levels were quantified by enzyme-linked immunosorbent assay in 66 women with GDM, 70 with normal pregnancy (p-NGT) and 44 healthy non-pregnant controls (CON), who were matched for age and body mass index. Inflammatory factors tumor necrosis factor-? (TNF-?) and C-reactive protein levels were measured, oral glucose tolerance test was carried out and ?-cell function was evaluated.ResultsPlasma MFG-E8 levels were remarkably higher in p-NGT than in CON (P = 0.024), and were further elevated in GDM vs p-NGT (P = 0.016). MFG-E8 concentrations correlated positively with hemoglobin A1c, glucose levels and insulin resistance (homeostasis model assessment for insulin resistance), and correlated inversely with TNF-? and insulin secretion evaluated by disposition indices in pregnancies. Fasting glucose levels, disposition index of first phase insulin secretion and TNF-? were independent predictors of MFG-E8 levels in pregnancies. Logistic regression analyses showed that women in the third tertile of MFG-E8 levels had a markedly elevated risk of GDM.ConclusionsCirculating MFG-E8 levels are dramatically elevated in pregnancy, and are significantly higher in GDM vs p-NGT. MFG-E8 concentrations are significantly associated with TNF-?, fasting glucose levels, homeostasis model assessment for insulin resistance and disposition indices. However, further studies are required to elucidate the regulation mechanism of MFG-E8 during pregnancy and GDM.

Project description:Background: Insulin-like growth factor-1 (IGF-1) has been demonstrated to increase fatty acid β oxidation during fasting, and play an important role in regulating lipid metabolism and type 2 diabetes mellitus (T2DM). The rs35767 (T > C) polymorphism, a functional SNP was found in IGF-1 promoter, which may directly affect IGF-1 expression. However, the inconsistent findings showed on the IGF-1 rs35767 polymorphism and T2DM risk. Methods: We performed a comprehensive meta-analysis to estimate the association between the IGF-1 rs35767 and T2DM risk among four genetic models (the allele, additive, recessive and dominant models). Results: A total 49,587 T2DM cases and 97,906 NDM controls were included in the allele model, a total 2256 T2DM cases and 2228 NDM controls were included in the other three genetic models (the additive; recessive and dominant models). In overall analysis, the IGF-1 rs35767 was shown to be significantly associated with increased T2DM risk for the allele model (T vs. C: OR = 1.251, 95% CI: 1.082-1.447, p = 0.002), additive model (homozygote comparisons: TT vs. CC: OR = 2.433, 95% CI: 1.095-5.405, p = 0.029; heterozygote comparisons: TC vs. CC: OR = 1.623, 95% CI: 1.055-2.495, p = 0.027) and dominant model (TT + CT vs. CC: OR = 1.934, 95% CI: 1.148-3.257, p = 0.013) with random effects model. After omitting Gouda's study could reduce the heterogeneity, especially in the recessive model (TT vs. CC + CT: I2 = 38.7%, p = 0.163), the fixed effects model for recessive effect of the T allele (TT vs. CC + CT) produce results that were of borderline statistical significance (OR = 1.206, 95% CI: 1.004-1.448, p = 0.045). And increasing the risk of T2DM in Uyghur population of subgroup for the allele model. Conclusion: The initial analyses that included all studies showed statistically significant associations between the rs35767 SNP and type 2 diabetes, but after removing the Gouda et al. study produced results that were mostly not statistically significant. Therefore, there is not enough evidence from the results of the meta-analysis to indicate that the rs35767 SNP has a statistically significant association with type 2 diabetes.

Dataset Information

Dataset on growth factor levels and insulin use in patients with diabetes mellitus and incident breast cancer.

Publications

Dataset on growth factor levels and insulin use in patients with diabetes mellitus and incident breast cancer.

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