44 research outputs found

    Genetic variants in anti-Mullerian hormone and anti-Mullerian hormone receptor genes and breast cancer risk in Caucasians and African Americans

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    Anti-Mullerian hormone (AMH) regulates ovarian folliculogenesis by signaling via its receptors, and elevated serum AMH levels are associated with an increased risk of breast cancer. No previous studies have examined the effects of genetic variants in AMH-related genes on breast cancer risk. We evaluated the associations of 62 single nucleotide polymorphisms (SNPs) in AMH and its receptor genes, including AMH type 1 receptor (ACVR1) and AMH type 2 receptor (AMHR2), with the risk of breast cancer in the Women’s Insights and Shared Experiences (WISE) Study of Caucasians (346 cases and 442 controls), as well as African Americans (149 cases and 246 controls). Of the 62 SNPs evaluated, two showed a nominal significant association (P for trend < 0.05) with breast cancer risk among Caucasians, and another two among African Americans. The age-adjusted additive odds ratios (ORs) (95% confidence interval (95% CI)) of those two SNPs (ACVR1 rs12694937[C] and ACVR1 rs2883605[T]) for the risk of breast cancer among Caucasian women were 2.33 (1.20-4.52) and 0.68 (0.47-0.98), respectively. The age-adjusted additive ORs (95% CI) of those two SNPs (ACVR1 rs1146031[G] and AMHR2 functional SNP rs2002555[G]) for the risk of breast cancer among African American women were 0.63 (0.44-0.92) and 1.67 (1.10-2.53), respectively. However, these SNPs did not show significant associations after correction for multiple testing. Our findings do not provide strong supportive evidence for the contribution of genetic variants in AMH-related genes to the risk of developing breast cancer in either Caucasians or African Americans

    Genetic variants in hypothalamic-pituitary-adrenal axis genes and breast cancer risk in Caucasians and African Americans

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    Elevated circulating levels of the adrenal androgen dehydroepiandrosterone (DHEA) and its sulfate (DHEAS) are associated with increased breast cancer risk in prospective studies. Genetic variants in hypothalamicpituitary- adrenal (HPA) axis genes may contribute to these circulating hormone levels, and consequently to breast cancer risk. No previous studies have examined the effects of genetic variants in HPA axis genes on breast cancer risk. We evaluated the associations of 49 single nucleotide polymorphisms (SNPs) in five HPA axis genes (NR3C1, NR3C2, CRH, CRHR1, and CRHBP) with the risk of breast cancer in the Women's Insights and Shared Experiences (WISE) Study of Caucasians (346 cases and 442 controls), as well as African Americans (149 cases and 246 controls). Of the 49 SNPs evaluated, one showed a nominal significant association (P for trend &lt; 0.05) with breast cancer risk among Caucasians, and another two among African Americans. The age-adjusted additive odds ratio (OR) (95% confidence interval (95% CI)) of the SNP rs11747190[A] in the CRHBP gene for the risk of breast cancer among Caucasian women was 1.45 (1.09-1.94). The age-adjusted additive ORs (95% CIs) of two SNPs (CRHBP rs1700688[T] and CRHR1 rs17689471[C]) for the risk of breast cancer among African American women were 1.84 (1.13-2.98) and 2.48 (1.20-5.13), respectively. However, these SNPs did not show significant associations after correction for multiple testing. Our findings do not provide strong supportive evidence for the contribution of genetic variants in these HPA axis genes to the risk of developing breast cancer in either Caucasians or African Americans

    The effects of moderate alcohol supplementation on estrone sulfate and DHEAS in postmenopausal women in a controlled feeding study

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    BACKGROUND: We have demonstrated that moderate alcohol consumption (15 g/d, 30 g/d) for 8 weeks resulted in significantly increased levels of serum estrone sulfate and DHEAS in 51 postmenopausal women in a randomized, placebo-controlled trial. We now report on the relationships between serum estrone sulfate and dehydroepiandrosterone sulfate (DHEAS) levels after 4 weeks of moderate alcohol supplementation, and compare the results to the 8 weeks data to elucidate time-to-effect differences. METHODS: Postmenopausal women (n = 51) consumed 0 (placebo), 15 (1 drink), and 30 (2 drinks) g alcohol (ethanol)/ day for 8 weeks as part of a controlled diet in a randomized crossover design. Blood samples were drawn at baseline, at 4 weeks and at 8 weeks. Changes in estrone sulfate and DHEAS levels from placebo to 15 g and 30 g alcohol per day were estimated using linear mixed models. RESULTS AND DISCUSSION: At week 4, compared to the placebo, estrone sulfate increased an average 6.9% (P = 0.24) when the women consumed 15 g of alcohol per day, and 22.2% (P = 0.0006) when they consumed 30 g alcohol per day. DHEAS concentrations also increased significantly by an average of 8.0% (P < 0.0001) on 15 g of alcohol per day and 9.2% (P < 0.0001) when 30 g alcohol was consumed per day. Trend tests across doses for both estrone sulfate (P = 0.0006) and DHEAS (P < 0.0001) were significant. We found no significant differences between the absolute levels of serum estrone sulfate at week 4 versus week 8 (P = 0.32) across all doses. However, absolute DHEAS levels increased from week 4 to week 8 (P < 0.0001) at all three dose levels. CONCLUSIONS: These data indicate that the hormonal effects due to moderate alcohol consumption are seen early, within 4 weeks of initiation of ingestion

    Height, adiposity and body fat distribution and breast density in young women

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    INTRODUCTION: Breast density is one of the strongest risk factors for breast cancer, but determinants of breast density in young women remain largely unknown. METHOD: Associations of height, adiposity and body fat distribution with percent dense breast volume (%DBV) and absolute dense breast volume (ADBV) were evaluated in a cross-sectional study of 174 healthy women, 25-29 years old. Adiposity and body fat distribution were measured by anthropometry and dual-energy x-ray absorptiometry (DXA), while %DBV and ADBV were measured by magnetic resonance imaging (MRI). Associations were evaluated using linear mixed effects models. All tests of statistical significance are 2-sided. RESULTS: Height was significantly positively associated with %DBV but not ADBV; for each standard deviation (SD) increase in height, %DBV increased by 18.7% in adjusted models. In contrast, all measures of adiposity and body fat distribution were significantly inversely associated with %DBV; a SD increase in body mass index (BMI), percent fat mass, waist circumference and the android:gynoid fat mass ratio (A:G ratio) each was associated significantly with a 44.4% - 47.0% decrease in %DBV after adjustment for childhood BMI and other covariates. Although associations were weaker than for %DBV, all measures of adiposity and body fat distribution also were significantly inversely associated with ADBV before adjustment for childhood BMI. However, after adjustment for childhood BMI only the DXA measures percent fat mass and A:G ratio remained significant; a SD increase in each was associated with a 13.8% - 19.6% decrease in ADBV . In mutually adjusted analysis, percent fat mass and the A:G ratio remained significantly inversely associated with %DBV, but only the A:G ratio was significantly associated with ADBV; a SD increase in A:G ratio was associated with a 18.5% decrease in ADBV. CONCLUSIONS: Total adiposity and body fat distribution are independently inversely associated with %DBV, whereas in mutually adjusted analysis only body fat distribution (A:G ratio) remained significantly inversely associated with ADBV in young women. Research is needed to identify biological mechanisms underlying these associations

    Examining breast cancer growth and lifestyle risk factors:early life, childhood, and adolescence

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    The perinatal period, childhood, and adolescence are important intervals for breast cancer risk development. Endogenous estrogen exposure is thought to be highest in utero, and exposure to estrogens throughout life plays an important role in increasing breast cancer risk. Some evidence suggests that breast tissue is not fully differentiated until after the first full-term pregnancy; thus, breast tissue might be more susceptible to carcinogenic influences during early life and adolescence. Birth characteristics of the daughter, including gestational age, birth weight, and birth length are associated with maternal hormone levels during the index pregnancy, and birth size has been related to daughter's timing of puberty and adult breast cancer incidence. Furthermore, early life and adolescence are critical times for maturation of the hypothalamic pituitary ovarian axis, which regulates production of ovarian hormones including estrogen and progesterone. Childhood height, growth, diet, and body mass index (BMI) have also been associated with breast cancer risk later in life. Of the examined characteristics, we conclude that the available evidence is suggestive of a positive relationship of breast cancer risk with birth weight, birth length, and adolescent height, and an inverse relationship with gestational age and childhood BMI, although several inconsistencies exist in the literature. The best evidence for a relationship of adolescent diet and adult breast cancer risk is indirect, and the relationship of diet, weight status, and weight gain in childhood deserves further attention. The interaction of birth characteristics with established risk factors over the life course, such as age at menarche, in addition to gene-environment interactions, require more research. Further study is also needed to clarify the biologic mechanisms influencing the observed associations
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