Purpose: The quinazoline based alpha1-adrenoceptor antagonists doxazosin and terazosin suppress prostate tumor growth via the induction of apoptosis and decrease in tissue vascularity. To assess the effect of alpha1-blocker exposure on the incidence of prostate cancer we performed an exploratory, observational cohort study.
Materials And Methods: The medical records of all male patients enrolled at Lexington Veterans Affairs Medical Center were searched to identify men treated with quinazoline based alpha1-adrenoreceptor antagonists between January 1, 1998 and December 31, 2002 for hypertension and/or benign prostatic enlargement. Medical records were subsequently linked to the Markey Cancer Center Kentucky Cancer Registry, a statewide population based central cancer registry that is part of the National Cancer Institute Surveillance, Epidemiology and End Results Program, to identify all incident prostate cancer cases diagnosed. All newly diagnosed prostate cancer cases unexposed to alpha1-adrenoreceptor antagonists in the total male Veterans Affairs population during this period were also identified from the Kentucky Cancer Registry database. Measures of disease incidence, relative risk and attributable risk were calculated to compare the risk of prostate cancer in alpha1-blocker exposed vs unexposed men. Kaplan-Meier curves and Cox regression models were used to compare overall survival between alpha1-blocker exposed and unexposed prostate cancer cases.
Results: Our analysis revealed a cumulative incidence of 1.65% in alpha1-blocker exposed men compared to 2.41% in the unexposed group. These data yielded an unadjusted RR of 0.683 (95% CI 0.532, 0.876) and a risk difference of -0.0076, indicating that 7.6 fewer prostate cancer cases developed per 1,000 exposed men. Thus, exposure to quinazoline alpha1-blockers may have prevented 32 prostate cancer cases among the 4,070 treated men during the study period. Therefore, men exposed to quinazoline alpha1-adrenoceptor antagonists were at 1.46 times lower RR and 31.7% lower attributable risk for prostate cancer than unexposed men. There was no association between alpha1-adrenoceptor antagonist exposure and overall survival.
Conclusions: These data suggest that exposure to quinazoline based alpha1-adrenoceptor antagonists significantly decreases the incidence of prostate cancer. This evidence suggests that the apoptotic and anti-angiogenic effects of these drugs may prevent the development of prostate cancer.
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http://dx.doi.org/10.1016/j.juro.2007.06.043 | DOI Listing |
PLoS One
January 2025
Department of Public Health, Policy and Systems, University of Liverpool, Liverpool, United Kingdom.
Introduction: Undiagnosed chronic disease has serious health consequences, and variation in rates of underdiagnosis between populations can contribute to health inequalities. We aimed to estimate the level of undiagnosed disease of 11 common conditions and its variation across sociodemographic characteristics and regions in England.
Methods: We used linked primary care, hospital and mortality data on approximately 1.
Ann Nucl Med
January 2025
Department of Biomedical Sciences, Humanitas University, Milan, Italy.
The purpose of this systematic review was to evaluate the role of PSMA PET/CT in intermediate-risk prostate cancer (PCa) patients, to determine whether it could help improve treatment strategy and prognostic stratification. A systematic literature search up to May 2024 was conducted in the PubMed, Embase and Scopus databases. Articles with mixed risk patient populations, review articles, editorials, letters, comments, or case reports were excluded.
View Article and Find Full Text PDFJ Neurooncol
January 2025
Department of Neurosurgery, Allegheny Health Network, Neuroscience Institute, Pittsburgh, PA, United States.
Langenbecks Arch Surg
January 2025
Department for the Promotion of Medical Device Innovation, National Cancer Center Hospital East, 6-5-1, Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan.
Purpose: Assessing surgical skills is vital for training surgeons, but creating objective, automated evaluation systems is challenging, especially in robotic surgery. Surgical procedures generally involve dissection and exposure (D/E), and their duration and proportion can be used for skill assessment. This study aimed to develop an AI model to acquire D/E parameters in robot-assisted radical prostatectomy (RARP) and verify if these parameters could distinguish between novice and expert surgeons.
View Article and Find Full Text PDFInsights Imaging
January 2025
Department of Radiology, the Second Affiliated Hospital of Dalian Medical University, Dalian, 116023, China.
Objective: To evaluate the feasibility of utilizing artificial intelligence (AI)-predicted biparametric MRI (bpMRI) image features for predicting the aggressiveness of prostate cancer (PCa).
Materials And Methods: A total of 878 PCa patients from 4 hospitals were retrospectively collected, all of whom had pathological results after radical prostatectomy (RP). A pre-trained AI algorithm was used to select suspected PCa lesions and extract lesion features for model development.
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