Faculty Bibliography

ABSTRACT: INTRODUCTION: Prospective epidemiologic studies have consistently shown that levels of circulating androgens in postmenopausal women are positively associated with breast cancer risk. However, data in premenopausal women are limited. METHODS: A case-control study nested within the NYU Women's Health Study was conducted. A total of 356 cases (276 invasive and 80 in situ) and 683 individually-matched controls were included. Matching variables included age and date, phase, and day of menstrual cycle at blood donation. Testosterone, androstenedione, dehydroandrosterone sulfate (DHEAS) and sex hormone-binding globulin (SHBG) were measured using direct immunoassays. Free testosterone was calculated. RESULTS: Premenopausal serum testosterone and free testosterone concentrations were positively associated with breast cancer risk. In models adjusted for known risk factors of breast cancer, the odds ratios for increasing quintiles of testosterone were 1.0 (reference), 1.5 (95% confidence interval (CI) , 0.9-2.3), 1.2 (95% CI, 0.7-1.9), 1.4 (95% CI, 0.9-2.3) and 1.8 (95% CI, 1.1-2.9; Ptrend = 0.04), and for free testosterone were 1.0 (reference), 1.2 (95% CI, 0.7-1.8), 1.5 (95% CI, 0.9- 2.3), 1.5 (95% CI, 0.9-2.3), 1.8 (95% CI, 1.1-2.8, Ptrend = 0.01). A marginally significant positive association was observed with androstenedione (p = 0.07), but no association with DHEAS or SHBG. Results were consistent in analyses stratified by tumor type (invasive, in situ), estrogen receptor status, age at blood donation, and menopausal status at diagnosis. Intra-class correlation coefficients for samples collected from 0.8 to 5.3 years apart (median 2 years) in 138 cases and 268 controls were greater than 0.7 for all biomarkers except for androstenedione (0.57 in controls). CONCLUSIONS: Premenopausal concentrations of testosterone and free testosterone are associated with breast cancer risk. Testosterone and free testosterone measurements are also highly reliable (i.e. a single measurement is reflective of a woman's average level over time). Results from other prospective studies are consistent with our results. The impact of including testosterone or free testosterone to breast cancer risk prediction models for women between the ages of 40 and 50 should be assessed. Improving risk prediction models for this age group could help decision making regarding both screening and chemoprevention of breast cancer.

Introduction: Prospective epidemiologic studies have consistently shown that levels of circulating androgens in postmenopausal women are positively associated with breast cancer risk. However, data in premenopausal women are limited. Methods: A case-control study nested within a prospective cohort, the NYU Women's Health Study, was conducted. A total of 356 cases (276 invasive and 80 in situ) and 683 individually-matched controls (1:2 matching) were included. Matching variables included age and date of blood donation, as well as phase and day of menstrual cycle. Testosterone, androstenedione, dehydroandrosterone sulfate (DHEAS), and sex hormone-binding globulin (SHBG) were measured using direct radioimmunoassays. Free testosterone was calculated. Samples from a second blood donation at a median of 2 years after the first blood donation were also analyzed for 138 cases and 268 controls. Results: Premenopausal serum testosterone and free testosterone concentrations were positively associated with subsequent breast cancer risk. In models adjusted for known risk factors of breast cancer (BMI, age at menarche, family history of breast cancer, parity/age at first birth, and history of breast biopsy), the odds ratios for increasing quintiles of testosterone were 1.0 (reference), 1.5 (95% confidence interval (CI), 0.9-2.3), 1.2 (95% CI, 0.7-1.9), 1.4 (95% CI, 0.9-2.3) and 1.8 (95% CI, 1.1-2.9) with the P value for trend of 0.04, and for free testosterone were 1.0 (reference), 1.2 (95% CI, 0.7-1.8), 1.5 (95% CI, 0.9-2.3), 1.5 (95% CI, 0.9-2.3), and 1.8 (95% CI, 1.1-2.8) with a P value for trend of 0.01). A marginally significant positive association was observed with androstenedione (p = 0.07), but no association with DHEAS or SHBG. Results were consistent in analyses stratified by tumor type (invasive, in situ), estrogen receptor status, age at blood donation, and menopausal status at diagnosis. Intra-class correlation coefficients (ICCs) for measurements of serial annual blood donations from the same !

Background:It has been suggested that the relative importance of oestrogen-metabolising pathways may affect the risk of oestrogen-dependent tumours including endometrial cancer. One hypothesis is that the 2-hydroxy pathway is protective, whereas the 16alpha-hydroxy pathway is harmful.Methods:We conducted a case-control study nested within three prospective cohorts to assess whether the circulating 2-hydroxyestrone : 16alpha-hydroxyestrone (2-OHE1 : 16alpha-OHE1) ratio is inversely associated with endometrial cancer risk in postmenopausal women. A total of 179 cases and 336 controls, matching cases on cohort, age and date of blood donation, were included. Levels of 2-OHE1 and 16alpha-OHE1 were measured using a monoclonal antibody-based enzyme assay.Results:Endometrial cancer risk increased with increasing levels of both metabolites, with odds ratios in the top tertiles of 2.4 (95% CI=1.3, 4.6; P(trend)=0.007) for 2-OHE1 and 1.9 (95% CI=1.1, 3.5; P(trend)=0.03) for 16alpha-OHE1 in analyses adjusting for endometrial cancer risk factors. These associations were attenuated and no longer statistically significant after further adjustment for oestrone or oestradiol levels. No significant association was observed for the 2-OHE1 : 16alpha-OHE1 ratio.Conclusion:Our results do not support the hypothesis that greater metabolism of oestrogen via the 2-OH pathway, relative to the 16alpha-OH pathway, protects against endometrial cancer

BACKGROUND: Breast cancer risk for postmenopausal women is positively associated with circulating concentrations of oestrogens and androgens, but the determinants of these hormones are not well understood. METHODS: Cross-sectional analyses of breast cancer risk factors and circulating hormone concentrations in more than 6000 postmenopausal women controls in 13 prospective studies. RESULTS: Concentrations of all hormones were lower in older than younger women, with the largest difference for dehydroepiandrosterone sulphate (DHEAS), whereas sex hormone-binding globulin (SHBG) was higher in the older women. Androgens were lower in women with bilateral ovariectomy than in naturally postmenopausal women, with the largest difference for free testosterone. All hormones were higher in obese than lean women, with the largest difference for free oestradiol, whereas SHBG was lower in obese women. Smokers of 15+ cigarettes per day had higher levels of all hormones than non-smokers, with the largest difference for testosterone. Drinkers of 20+ g alcohol per day had higher levels of all hormones, but lower SHBG, than non-drinkers, with the largest difference for DHEAS. Hormone concentrations were not strongly related to age at menarche, parity, age at first full-term pregnancy or family history of breast cancer. CONCLUSION: Sex hormone concentrations were strongly associated with several established or suspected risk factors for breast cancer, and may mediate the effects of these factors on breast cancer risk

BACKGROUND: Factors contributing to chronic inflammation appear to be associated with increased risk of ovarian cancer. The purpose of this study was to assess the association between circulating levels of inflammation mediators and subsequent risk of ovarian cancer.METHODS: We conducted a case-control study of 230 cases and 432 individually-matched controls nested within three prospective cohorts to evaluate the association of pre-diagnostic circulating levels of inflammation-related biomarkers (IL-1beta, IL-2, IL-4, IL-5, IL-6, IL-10, IL-12p40, IL-12p70, IL-13, TNFalpha, IL-1Ra, sIL-1RII, sIL-2Ra, sIL-4R, sIL-6R, sTNF-R1, and sTNF-R2) measured using Luminex xMap technology with risk of ovarian cancer. RESULTS: We observed a trend across quartiles for IL-2 (OR(Q4 vs. Q1): 1.57, 95% CI: 0.98, 2.52, p= 0.07), IL-4 (OR(Q4 vs. Q1): 1.50, 95% CI: 0.95, 2.38, p= 0.06), IL-6 (OR(Q4 vs. Q1): 1.63, 95% CI: 1.03, 2.58, p= 0.03), IL-12p40 (OR(Q4 vs. Q1): 1.60, 95% CI: 1.02, 2.51, p= 0.06), and IL-13 (OR(Q4 vs. Q1): 1.42, 95% CI: 0.90, 2.26, p= 0.11). Trends were also observed when cytokines were modeled on the continuous scale for IL-4 (p-trend=0.01), IL-6 (p-trend=0.01), IL-12p40 (p-trend=0.01), and IL-13 (p-trend=0.04). Odds ratios were not materially different after excluding cases diagnosed less than five years after blood donation or when limited to serous tumors.Conclusions and Impact: This study provides the first direct evidence that multiple inflammation markers, specifically IL-2, IL-4, IL-6, IL-12, and IL-13, may be associated with risk of epithelial ovarian cancer, and adds to the evidence that inflammation is involved in the development this disease

The association between serum levels of endogenous estrogens in postmenopausal women and the subsequent risk of coronary heart disease (CHD) was examined in a prospective case-control study nested within the New York University Women's Health Study (NYUWHS). The NYUWHS is a prospective cohort study of 14,274 healthy women enrolled between 1985 and 1991. A total of 99 women who were postmenopausal and free of cardiovascular disease at enrollment and who subsequently experienced CHD, defined as non-fatal myocardial infarction (MI), fatal CHD, percutaneous transluminal coronary angioplasty (PTCA), or coronary artery bypass grafting (CABG), were matched 1:2 by baseline age, blood sampling date, and postmenopausal status to controls who remained free of CHD as of the date of diagnosis of the matching case. Biochemical analyses for total estradiol, estrone, percent free estradiol, percent estradiol bound to sex hormone-binding globulin (SHBG), and SHBG were performed on pre-diagnostic stored serum samples. Participants had not used any hormone medications in the 6 months prior to blood collection. In the model adjusting only for matching factors, the risk of CHD in the top tertile of calculated bioavailable estradiol was elevated compared with the bottom tertile (OR=2.10; 95% CI=1.13-3.90, P for trend=0.03), and the risk in the top tertile of SHBG was reduced (OR=0.50, 95% CI=0.28-0.92, P for trend<0.01). However, these associations disappeared after adjusting for baseline hypertension status, body mass index, and serum cholesterol levels. These findings suggest that circulating estradiol and SHBG are not associated with CHD risk in postmenopausal women beyond what can be explained by the variation in hypertension status, BMI, and cholesterol

Epidemiological studies have reported associations between circulating inflammation markers and risk of chronic diseases. It is of interest to examine whether risk factors for these diseases are associated with inflammation. We conducted a cross-sectional analysis to evaluate whether reproductive and lifestyle factors and circulating vitamin D were associated with inflammation markers, including C-reactive protein, cytokines (IL-1beta, IL-2, IL-4, IL-5, IL-6, IL-10, IL-12p40, IL-12p70, IL-13, TNFalpha), and cytokine modulators (IL-1RA, sIL-1RII, sIL-2Ra, sIL-4R, sIL-6R, sTNF-R1/R2), among 616 healthy women. We confirmed associations of several inflammation markers with age and BMI. We also observed significantly higher levels of certain inflammation markers in postmenopausal vs. premenopausal women (TNFalpha, sIL-1RII, sIL-2Ra), with increasing parity (IL-12p40), and with higher circulating 25(OH) vitamin D (IL-13) and lower levels among current users of non-steroidal anti-inflammatory drugs (NSAIDs) (IL-1beta, IL-2, IL-10, IL-12p70, and IL-12p40), current smokers (IL-4, IL-13, IL-12p40), and women with a family history of breast or ovarian cancer (IL-4, IL-10, IL-13). Our findings suggest that risk factors for chronic diseases (age, BMI, menopausal status, parity, NSAID use, family history of breast and ovarian cancer, and smoking) are associated with inflammation markers in healthy women

BACKGROUND: A high body-mass index (BMI, the weight in kilograms divided by the square of the height in meters) is associated with increased mortality from cardiovascular disease and certain cancers, but the precise relationship between BMI and all-cause mortality remains uncertain. METHODS: We used Cox regression to estimate hazard ratios and 95% confidence intervals for an association between BMI and all-cause mortality, adjusting for age, study, physical activity, alcohol consumption, education, and marital status in pooled data from 19 prospective studies encompassing 1.46 million white adults, 19 to 84 years of age (median, 58). RESULTS: The median baseline BMI was 26.2. During a median follow-up period of 10 years (range, 5 to 28), 160,087 deaths were identified. Among healthy participants who never smoked, there was a J-shaped relationship between BMI and all-cause mortality. With a BMI of 22.5 to 24.9 as the reference category, hazard ratios among women were 1.47 (95 percent confidence interval [CI], 1.33 to 1.62) for a BMI of 15.0 to 18.4; 1.14 (95% CI, 1.07 to 1.22) for a BMI of 18.5 to 19.9; 1.00 (95% CI, 0.96 to 1.04) for a BMI of 20.0 to 22.4; 1.13 (95% CI, 1.09 to 1.17) for a BMI of 25.0 to 29.9; 1.44 (95% CI, 1.38 to 1.50) for a BMI of 30.0 to 34.9; 1.88 (95% CI, 1.77 to 2.00) for a BMI of 35.0 to 39.9; and 2.51 (95% CI, 2.30 to 2.73) for a BMI of 40.0 to 49.9. In general, the hazard ratios for the men were similar. Hazard ratios for a BMI below 20.0 were attenuated with longer-term follow-up. CONCLUSIONS: In white adults, overweight and obesity (and possibly underweight) are associated with increased all-cause mortality. All-cause mortality is generally lowest with a BMI of 20.0 to 24.9.

The Cohort Consortium Vitamin D Pooling Project of Rarer Cancers (VDPP), a consortium of 10 prospective cohort studies from the United States, Finland, and China, was formed to examine the associations between circulating 25-hydroxyvitamin D (25(OH)D) concentrations and the risk of rarer cancers. Cases (total n = 5,491) included incident primary endometrial (n = 830), kidney (n = 775), ovarian (n = 516), pancreatic (n = 952), and upper gastrointestinal tract (n = 1,065) cancers and non-Hodgkin lymphoma (n = 1,353) diagnosed in the participating cohorts. At least 1 control was matched to each case on age, date of blood collection (1974-2006), sex, and race/ethnicity (n = 6,714). Covariate data were obtained from each cohort in a standardized manner. The majority of the serum or plasma samples were assayed in a central laboratory using a direct, competitive chemiluminescence immunoassay on the DiaSorin LIAISON platform (DiaSorin, Inc., Stillwater, Minnesota). Masked quality control samples included serum standards from the US National Institute of Standards and Technology. Conditional logistic regression analyses were conducted using clinically defined cutpoints, with 50-<75 nmol/L as the reference category. Meta-analyses were also conducted using inverse-variance weights in random-effects models. This consortium approach permits estimation of the association between 25(OH)D and several rarer cancers with high accuracy and precision across a wide range of 25(OH)D concentrations

ABSTRACT: BACKGROUND: Cytokines are involved in the development of chronic diseases, including cancer. It is important to evaluate the temporal reproducibility of cytokines in plasma prior to conducting epidemiologic studies utilizing these markers. FINDINGS: We assessed the temporal reliability of CRP, 22 cytokines and their soluble receptors (IL-1alpha, IL-1beta, IL-1RA, IL-2, sIL-2R, IL-4, IL-5, IL-6, sIL-6R, IL-7, IL-8, IL-10, IL-12p40, IL-12p70, IL-13, IL-15, IL-17, TNFalpha, sTNF-R1, sTNF-R2, IFNalpha, IFNgamma) and eight growth factors (GM-CSF, EGF, bFGF, G-CSF, HGF, VEGF, EGFR, ErbB2) in repeated EDTA plasma samples collected an average of two years apart from 18 healthy women (age range: 42-62) enrolled in a prospective cohort study. We also estimated the correlation between serum and plasma biomarker levels using 18 paired clinical samples from postmenopausal women (age range: 75-86).Twenty-six assays were able to detect their analytes in at least 70% of samples. Of those 26 assays, we observed moderate to high intra-class correlation coefficients (ICCs)(ranging from 0.53-0.89) for 22 assays, and low ICCs (0-0.47) for four assays. Serum and plasma levels were highly correlated (r > 0.6) for most markers, except for seven assays (r < 0.5). CONCLUSIONS: For 22 of the 31 biomarkers, a single plasma measurement is a reliable estimate of a woman's average level over a two-year period