Combined hormone therapy and breast cancer: a single-edged sword.
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Biomedical subjects
Publications and source records attributed to Peter H Gann.
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BACKGROUND: Overdiagnosis of clinically insignificant prostate cancer is considered a major potential drawback of prostate-specific antigen (PSA) screening. Quantitative estimates of the magnitude of this problem are, however, lacking. We estimated rates of prostate cancer overdiagnosis due to PSA testing that are consistent with the observed incidence of prostate cancer in the United States from 1988 through 1998. Overdiagnosis was defined as the detection of prostate cancer through PSA testing that otherwise would not have been diagnosed within the patient's lifetime. METHODS: We developed a computer simulation model of PSA testing and subsequent prostate cancer diagnosis and death from prostate cancer among a hypothetical cohort of two million men who were 60-84 years old in 1988. Given values for the expected lead time--that is, the time by which the test advanced diagnosis--and the expected incidence of prostate cancer in the absence of PSA testing, the model projected the increase in population incidence of prostate cancer associated with PSA testing. By comparing the model-projected incidence with the observed incidence derived from the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) registry data, we determined the lead times and corresponding overdiagnosis rates that were consistent with the observed data. RESULTS: SEER data on prostate cancer incidence from 1988 through 1998 were consistent with overdiagnosis rates of approximately 29% for whites and 44% for blacks among men with prostate cancers detected by PSA screening. CONCLUSIONS: Among men with prostate cancer that would be detected only at autopsy, these rates correspond to overdiagnosis rates of, at most, 15% in whites and 37% in blacks. The observed trends in prostate cancer incidence are consistent with considerable overdiagnosis among PSA-detected cases. However, the results suggest that the majority of screen-detected cancers diagnosed between 1988 and 1998 would have presented clinically and that only a minority of cases found at autopsy would have been detected by PSA testing.
It has been proposed that hyperinsulinemia is involved in colon carcinogenesis. An association between post-load plasma glucose (PLG) levels and risk of colorectal cancer mortality would be consistent with this hypothesis. We used data from the Chicago Heart Association Detection Project in Industry to examine the associations of nonfasting PLG and other variables related to the insulin resistance syndrome (i.e., systolic blood pressure, body mass index, uric acid, and resting heart rate) with colorectal cancer mortality. After excluding participants reporting a history of diabetes, 191 and 126 colorectal cancer deaths occurred among 20,433 men and 15,149 women, respectively. In multivariate Cox regression analysis, there was a positive relationship between PLG levels and colorectal cancer mortality for women (P for trend = 0.08) but not for men. When men and women were combined, a trend (P = 0.05) for PLG remained. Examination of clustering of insulin resistance syndrome-related risk factors revealed that men with at least 3 of 4 risk factors (i.e., in the highest quartile of the sex-specific distribution for PLG, systolic blood pressure, body mass index, or resting heart rate) had a relative risk (RR) of 1.67 [95% confidence interval (CI), 1.04-2.70] as compared with men who were not in the upper quartile for any of these factors. For women, the RR was 1.29 (95% CI, 0.70-2.37). For men and women combined, the RR was 1.50 (95% CI, 1.03-2.19). These findings provide evidence for a modest association of PLG and insulin resistance syndrome with colorectal cancer mortality and support the insulin hypothesis.
PURPOSE: Determining total prostate specific antigen (PSA) in plasma can often identify men who are subsequently diagnosed with prostate cancer. However, excess false-positives create large financial and psychological burdens in prostate cancer screening. The percent free PSA is lower when prostate cancer is present, although to our knowledge no large prospective analyses to date have evaluated whether adding testing for free PSA may decrease false-positives, while maintaining or perhaps improving the detection of potentially curable tumors. MATERIALS AND METHODS: We measured total and percent free PSA in banked plasma samples from the Physicians' Health Study in 430 men who were later diagnosed with prostate cancer and 1,642 age matched controls who were not diagnosed with prostate cancer during a 12-year observation period. We calculated the number of cancers detected and the number of false-positives for various strategies of combined free and total PSA levels, and compared them to the use of total PSA alone. RESULTS: Total PSA with a cutoff of 4 ng./ml. detected 149 cases but also yielded 144 false-positives. A strategy that applied percent free PSA to men with total PSA 4 to 10 ng./ml. detected 133 to 140 cancers and decreased false-positives to 83 of 117 depending on the percent free PSA cutoff used. As the percent free PSA cutoff was lowered from 25% to 20%, additional undetected cancers did not occur until year 9 of followup and the 20% cutoff decreased false-positives and, thus, potential negative biopsies, by 42%. Percent free PSA was superior to total PSA for discriminating cases from controls within the total PSA range of 4 to 10 or 3 to 10 ng./ml. (p <0.0001). A percent free PSA cutoff of 20% in men with total PSA 3 to 10 ng./ml. detected 10% more cancers with 12.5% fewer false-positives than the conventional strategy of total PSA greater than 4 ng./ml. Cancers missed by combined total and free PSA testing had longer intervals between blood sampling and diagnosis, and a greater likelihood of later diagnosis at an organ confined stage. CONCLUSIONS: These results demonstrate that in a prospective setting with long-term followup free PSA strategies can be identified that decrease unnecessary biopsies, while preserving or even improving cancer detection. Thus, total and free PSA can be combined without the need to weigh subjectively the trade-offs and relative costs of false-negative and false-positive results.
Serum testosterone concentration appears to be higher in black men than white men, particularly at younger ages. The higher incidence of prostate cancer in blacks has been attributed, at least in part, to this difference. Other factors associated with androgen levels in men include age and obesity. However, most of the studies of adult androgen levels are limited by their cross-sectional design. We conducted longitudinal analyses (Generalized Estimating Equation) of the associations of age, body mass index (BMI), and waist circumference with total and free testosterone and sex hormone-binding globulin (SHBG) concentrations during an 8-year period and compared these hormonal factors between black (n = 483) and white (n = 695) male participants of the Coronary Artery Risk Development in Young Adults (CARDIA) Study. For men ages 24 years and older at the time of the first hormone measurement, increasing age was associated with a statistically significant decrease in serum total and free testosterone and an increase in SHBG (P < 0.05). BMI and waist circumference were inversely associated with total testosterone and SHBG, but only BMI was inversely associated with free testosterone. After adjustment for age and BMI, total testosterone was higher in blacks (0.21 ng/ml; P = 0.028) than whites, an approximately 3% difference. However, after further adjustment for waist circumference, there was no black-white difference (0.05 ng/ml; P = 0.62). These results indicate that the age-associated decrease in circulating testosterone and increase in SHBG begin during the 3rd decade of life, and that increasing obesity, particularly central obesity, is associated with decreasing total testosterone and SHBG. Results also suggest that the previously observed difference in total testosterone between black and white men could be attributed, for the most part, to racial differences in abdominal obesity.