Background: Sex steroid hormone receptors mediate essential processes in normal prostate growth and contribute to prostate cancer development.
Method: In this study, we investigated the association between common inherited variation of the AR, ESR1, and ESR2 genes and two clinically relevant traits: the risk of developing aggressive prostate cancer and the response to androgen deprivation therapy (ADT) in a hospital-based cohort. A total of 43 tagging single nucleotide polymorphisms covering the loci of AR (n = 4), ESR1 (n = 32), and ESR2 (n = 7) were successfully genotyped in 4,073 prostate cancer cases.
Results: None of these single nucleotide polymorphisms were significantly associated with disease aggressiveness as assessed by the D'Amico risk classification, pathologic stage, or the response to ADT.
Conclusions: Our results suggest that common genetic variations in AR, ESR1, or ESR2 are not strongly associated with prostate cancer aggressiveness or response to ADT.
Impact: Our study did not find convincing evidence of inherited variations in the major receptors for androgens and estrogens and their associations with prostate cancer traits.
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http://dx.doi.org/10.1158/1055-9965.EPI-10-0216 | DOI Listing |
Sci Rep
January 2025
Department of Pharmaceutics, College of Pharmacy, King Saud University, PO Box 2457, Riyadh, 11451, Saudi Arabia.
Prostate cancer presents a major health issue, with its progression influenced by intricate molecular factors. Notably, the interplay between miRNAs and changes in transcriptomic patterns is not fully understood. Our study seeks to bridge this knowledge gap, employing computational techniques to explore how miRNAs and transcriptomic alterations jointly regulate the development of prostate cancer.
View Article and Find Full Text PDFInsights Imaging
January 2025
Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Purposes: The presence of clinically significant prostate cancer (csPCa) is equivocal for patients with prostate imaging reporting and data system (PI-RADS) category 3. We aim to develop deep learning models for re-stratify risks in PI-RADS category 3 patients.
Methods: This retrospective study included a bi-parametric MRI of 1567 consecutive male patients from six centers (Centers 1-6) between Jan 2015 and Dec 2020.
Eur J Drug Metab Pharmacokinet
January 2025
School of Pharmacy, National Defense Medical Center, Taipei, Taiwan.
Background And Objective: A gonadotropin-releasing hormone (GnRH) agonist such as leuprolide is widely used to achieve sustained suppression of testosterone levels, which play a critical role in the treatment of prostate cancer. Recent advances in drug delivery systems have led to the development of long-acting depot formulations, such as the 6-month intramuscular (IM) leuprolide formulation, which aim to simplify dosing and improve convenience for both patients and healthcare providers. Exploring extended dosing intervals for such formulations represents a promising approach to further optimize treatment regimens, potentially balancing efficacy with patient-centered care.
View Article and Find Full Text PDFInt J Impot Res
January 2025
Department of Urology, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, PA, USA.
Prostate cancer treatment-related erectile dysfunction and stress urinary incontinence are commonly treated with inflatable penile prosthesis (IPP) or artificial urinary sphincter (AUS). Given the association with androgens and penile/urethral health, we aim to evaluate whether patients on androgen deprivation therapy (ADT) undergoing IPP or AUS surgery are at increased risk for reintervention, complication, or infection. We queried the TriNetX database for adult males receiving IPP or AUS.
View Article and Find Full Text PDFNPJ Precis Oncol
January 2025
Duke Cancer Institute Center for Prostate & Urologic Cancers, Duke University School of Medicine, Durham, NC, 27710, USA.
Black men suffer disproportionately from prostate cancer (PCa) compared to men of other races and ethnicities. Comparing the molecular landscape of PCa among Black and White patients has the potential to identify targets for development of new precision medicine interventions. Herein, we conducted transcriptomic analysis of prostate tumors and paired tumor-adjacent normals from self-reported Black and White PCa patients and estimated patient genetic ancestry.
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