Faculty Bibliography

BACKGROUND: Previous studies suggest that obesity is associated with higher prostate cancer progression and mortality despite an association with lower prostate cancer incidence. This study aims to better understand these apparently inconsistent relationships among obese men by combining evidence from 3 nationally representative cross-sectional surveys. METHODS: We evaluated relationships between obesity and 1) testosterone concentrations in the Third National Health and Nutrition Examination Survey (NHANES III; n=845); 2) prostate-specific antigen (PSA) in NHANES 2001-2004 (n=2458); and 3) prostate biopsy rates in the National Health Interview Survey (NHIS 2000; n=4789) population. Mean testosterone, PSA concentrations, and biopsy rates were computed for Body Mass Index (BMI) categories. RESULTS: Testosterone concentrations were inversely associated with obesity (P-trend <.0001) in NHANES III. In NHANES 2001-2004, obese (BMI >35) versus lean (BMI <25) men were less likely to have PSA concentrations that reached the biopsy threshold of >4 ng/mL (3% vs 8%; P <.0001). Among NHIS participants, all BMI groups had similar rates of PSA testing (P=.24). However, among men who had PSA tests, 11% of men with BMI >30 versus 16% with BMI <25, achieved a PSA threshold of 4 ng/mL; P=.01. Furthermore, biopsy rates were lower among men with BMI >30 versus BMI <25 in NHIS participants (4.6% vs 5.8%; P=.05). CONCLUSIONS: Obesity was associated with lower PSA-driven biopsy rates. These data support further studies to test the hypothesis that obesity affects prostate cancer detection independent of prostate cancer risk by decreasing the PSA-driven biopsy rates.

Insulin and glucose may influence cancer mortality via their proliferative and anti-apoptotic properties. Using longitudinal data from the nationally representative Third National Health and Nutrition Examination Survey (NHANES III; 1988-1994), with an average follow-up of 8.5 years to death, we evaluated markers of glucose and insulin metabolism, with cancer mortality, ascertained using death certificates or the National Death Index. Plasma glucose, insulin, C-peptide, and lipid concentrations were measured. Anthropometrics, lifestyle, medical, and demographic information was obtained during in-person interviews. After adjusting for age, race, sex, smoking status, physical activity, and body mass index, for every 50 mg/dl increase in plasma glucose, there was a 22% increased risk of overall cancer mortality. Insulin resistance was associated with a 41% (95% confidence interval (CI) (1.07-1.87; p = 0.01) increased risk of overall cancer mortality. These associations were stronger after excluding lung cancer deaths for insulin-resistant individuals (HR: 1.67; 95% CI: 1.15-2.42; p = 0.01), specifically among those with lower levels of physical activity (HR: 2.06; 95% CI: 1.4-3.0; p = 0.0001). Similar associations were observed for other blood markers of glucose and insulin, albeit not statistically significant. In conclusion, hyperglycemia and insulin resistance may be 'high-risk' conditions for cancer mortality. Managing these conditions may be effective cancer control tools

Studies suggest inverse associations between obesity and prostate-specific antigen (PSA). However, there is little evidence whether factors related to obesity, including lifestyle (diet and physical activity) and physiologic factors (insulin resistance and metabolic syndrome), influence PSA. We used dietary, physical activity, and serum PSA, insulin, glucose, and lipid data for men >40 years from the National Health and Nutrition Examination Survey (2001-2004; N = 2,548). Energy, fat, and carbohydrate intakes were estimated from a 24-hour dietary recall. Men were considered as having metabolic syndrome based on the Adult Treatment Panel III criteria. Leisure-time physical activity and doctor-diagnosed hypertension were self-reported. Body mass index was calculated from measured weight and height. We computed the geometric mean PSA (ng/mL), adjusted for age, race, and body mass index, by tertile of energy, fat, and carbohydrate intake and level of physical activity, and among men with and without insulin resistance and metabolic syndrome in the whole population and by race. The geometric mean PSA (95% confidence interval) among men in the lowest tertile of energy was 1.05 (0.97-1.1) relative to 0.85 (0.8-0.9) in the highest tertile (P = 0.0002) in the whole population. The PSA concentrations were lower among overweight men with higher versus lower energy intake (P = 0.001). The PSA concentrations in men with insulin resistance was lower [0.87 (0.8-0.9)] relative to men without insulin resistance [0.98 (0.9-1.1)] at P = 0.04. All associations were in similar directions within racial subgroups. No associations were observed between the other lifestyle and physiologic factors. Additional studies are required to confirm these results and to investigate the potential mechanisms that may explain these relationships.

OBJECTIVE: To examine the expression profiles of luteinized granulosa cells isolated from women with normal or diminished ovarian reserve undergoing in vitro fertilization. DESIGN: Expression profiling by complementary DNA microarray analysis. SETTING: Women undergoing in vitro fertilization-embryo transfer in a university-based fertility clinic. PATIENT(S): Eighteen women with normal or decreased ovarian reserve. INTERVENTION(S): All patients were given gonadotropin stimulation in preparation for IVF with granulosa cells isolated at the time of follicular aspiration. MAIN OUTCOME MEASURE(S): Expression profiles of luteinized granulosa cells isolated from each woman were determined by using DNA microarray analysis. RESULT(S): Changes in patterns of gene expression in granulosa cells were observed between women with normal and diminished ovarian reserve. These genes included several anonymous expressed sequence tags and also expressed sequence tags that correspond to known genes. CONCLUSION(S): Expression profiling of granulosa cells by DNA microarray may yield signature patterns that reflect the status of ovarian reserve and the competence of granulosa cells