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Background: Finasteride and doxazosin are used for the treatment of benign prostatic hyperplasia (BPH) and lower urinary tract symptoms (LUTS). Epithelial-mesenchymal transition (EMT) plays an important role in BPH, little is known about the growth inhibition and anti-fibrosis effects of doxazosin on the regulation of EMT and morphology in the prostate.

Objectives: The present study examined the effects of doxazosin on testosterone propionate (TP)-induced prostate growth in vivo and in vitro and its impact on the EMT and TGF-β/Smad signaling pathway.

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Benign prostatic hyperplasia (BPH) may decrease patient quality of life and often leads to acute urinary retention and surgical intervention. While effective treatments are available, many BPH patients do not respond or develop resistance to treatment. To understand molecular determinants of clinical symptom persistence after initiating BPH treatment, we investigated gene expression profiles before and after treatments in the prostate transitional zone of 108 participants in the Medical Therapy of Prostatic Symptoms (MTOPS) Trial.

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Benign prostatic hyperplasia is one of the most common diseases in men, with a prevalence rate of 50% in their 50s to 80% in their 80s, and is mostly treated with chronic drug therapy. The aim of this study was to analyze adverse drug reactions (ADR) to drugs used in benign prostate hyperplasia (BPH) treatment reported to HALMED from 2008 to 2021. Data on ADR reports in Croatia were obtained from the VigiFlow national database and on the use of drugs for BPH in Croatia from Drug Utilization Reports from HALMED.

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Purpose: Male lower urinary tract symptoms have been correlated with an increased risk of death; however, it is unclear if treatment will reduce this risk. Our objective was to determine whether a reduction in lower urinary tract symptoms is associated with a reduced risk of mortality.

Materials And Methods: We conducted a secondary analysis of the MTOPS (Medical Treatment of Prostate Symptoms) randomized trial of placebo, doxazosin, finasteride, or doxazosin and finasteride.

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Article Synopsis
  • The study aimed to create a predictive model to identify BPH patients likely to respond to medical treatment and those who won't.
  • Researchers analyzed data from 2,172 BPH patients treated with three different therapies, employing machine learning techniques to select the most effective model.
  • The final boosted support vector machine model achieved an overall accuracy (AUC) of 0.698, indicating a reasonable ability to distinguish between treatment responders and failures across different treatment groups.
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