Bergstralh, Eric J.

BackgroundTo evaluate the impact of adjuvant hormonal therapy after radical prostatectomy on overall survival in high‐risk prostate cancer patients, stratified by comorbidity status.MethodsWe identified 1247 patients who underwent radical prostatectomy from 1988 to 2004 for high‐risk prostate cancer, as defined by National Comprehensive Cancer Network classification. Comorbidity status was stratified by Charlson Comorbidity Index as 0, 1 or >2, as well as by the presence or absence of cardiovascular disease. Overall survival was estimated by the Kaplan–Meier method, and compared within each comorbidity category/adjuvant hormonal therapy strata with the log–rank test.ResultsMedian patient age was 65 years, and the median postoperative follow up was 11.2 years. In total, 419 patients (34%) received adjuvant hormonal therapy. The distribution of Charlson Comorbidity Index was 0, 1 and ≥2 in 861 (69%), 244 (20%) and 142 (11%) patients, respectively. The 10‐year overall survival for patients who received adjuvant hormonal therapy versus those who did not was 75% versus 82% (P = 0.54) for patients with Charlson Comorbidity Index = 0, 72% versus 76% (P = 0.83) with Charlson Comorbidity Index = 1, and 70% versus 68% (P = 0.33) with Charlson Comorbidity Index ≥2. Meanwhile, 155 (12%) patients had cardiovascular disease, and the 10‐year overall survival for patients with cardiovascular disease who received adjuvant hormonal therapy was 72%, compared with 76% without adjuvant hormonal therapy (P = 0.97). On multivariate analysis, receipt of adjuvant hormonal therapy was not associated with non‐prostate cancer mortality (P = 0.24).ConclusionsAdjuvant hormonal therapy after radical prostatectomy for high‐risk prostate cancer does not increase non‐prostate cancer mortality, even among patients with multiple comorbidities. Additional studies are warranted to determine optimal multimodal treatment approach for high‐risk patients.

Abstract BACKGROUND Improved tests are needed for detection and management of prostate cancer. We hypothesized that differential gene expression in prostate tissue could help identify candidate blood biomarkers for prostate cancer and that blood from men with advanced prostate disease could be used to verify the biomarkers presence in circulation. METHODS We identified candidate markers using mRNA expression patterns from laser-capture microdissected prostate tissue and confirmed tissue expression using immunohistochemistry (IHC) for the subset of candidates having commercial antisera. We analyzed tissue extracts with tandem mass spectrometry (MS/MS) and measured blood concentrations using immunoassays and MS/MS of trypsin-digested, immunoextracted peptides. RESULTS We selected 35 novel candidate prostate adenocarcinoma biomarkers. For all 13 markers having commercial antisera for IHC, tissue expression was confirmed; 6 showed statistical discrimination between nondiseased and malignant tissue, and only 5 were detected in tissue extracts by MS/MS. Sixteen of the 35 candidate markers were successfully assayed in blood. Four of 8 biomarkers measured by ELISA and 3 of 10 measured by targeted MS showed statistically significant increases in blood concentrations of advanced prostate cancer cases, compared with controls. CONCLUSIONS Seven novel biomarkers identified by gene expression profiles in prostate tissue were shown to have statistically significant increased concentrations in blood from men with advanced prostate adenocarcinoma compared with controls: apolipoprotein C1, asporin, cartilage oligomeric matrix protein, chemokine (C-X-C motif) ligand 11 (CXCL11), CXCL9, coagulation factor V, and proprotein convertase subtilisin/kexin 6.

Studies of the population of Rochester, Minnesota, have provided the only data on temporal trends for the incidence of stroke in North America. Among the residents of Rochester, the average annual incidence rate of stroke declined by 46%, from 213 to 115 per 100,000 population, between 1950-1954 and 1975-1979. The decline occurred in all age and sex groups, but it occurred earlier in women than in men. The rates stabilized in the 1970s, and did so earlier in women. For 1980-1984, the incidence rate of stroke was 17% higher than that for 1975-1979. The onset of the decline in incidence rates coincided with the introduction of effective antihypertensive therapy, but stabilized and increased rates were associated with continuing improvement in the control of hypertension. The increase in the incidence rates of stroke coincided with the introduction of computed tomography, which appeared to increase the detection of less severe strokes.

Background Often in randomized controlled trials of cancer screening, cause of death is determined by a mortality review committee. However, little is known regarding how findings from mortality review compare to those from death certificates alone. Purpose To examine the results of four different U. S. trials of cancer screening when death certificate data only were used, as compared to results using all available mortality review information. Methods Trials included were the Health Insurance Plan of New York breast screening trial (HIP), the Minnesota trial of fecal occult blood testing, and the Johns Hopkins and Mayo Lung Projects, which each examined chest x-ray and sputum cytology. The sensitivity, specificity, positive and negative predictive values, and Cohen’s kappa for death certificates were calculated for all arms of all trials. Separate intention-to-screen analyses were conducted for each trial using cause of death information from either death certificates alone or full mortality review data. Results Generally there was excellent agreement between the death certificates and the mortality review committee as to the underlying cause of death (kappa >0.85 in all cases); death certificate agreement was similar between arms in all trials. Modest changes in the screening effectiveness estimates were observed when mortality review information was utilized, ranging from a 9% decrease to a 2% increase in the calculated mortality rate ratios. However, in one instance (HIP) a statistically significant benefit of screening was observed when mortality review committee data were used (rate ratio (RR) 0.77, 95% confidence interval (CI) 0.62— 0.95) but not when death certificate data were used (RR 0.82, 95% CI 0.65—1.03). Limitations Although considered to be the gold standard, even carefully conducted mortality review may result in errors in cause of death assignment. Conclusions For each trial, results were similar regardless of the source of cause of death information. Clinical Trials 2010; 7: 69—77. http://ctj.sagepub.com