Preclinical Models in Prostate Cancer: Resistance to AR Targeting Therapies in Prostate Cancer.

Cancers (Basel)

Laboratory of Molecular Endocrinology, KU Leuven, 3000 Leuven, Belgium.

Published: February 2021

Prostate cancer is an androgen-driven tumor. Different prostate cancer therapies consequently focus on blocking the androgen receptor pathway. Clinical studies reported tumor resistance mechanisms by reactivating and bypassing the androgen pathway. Preclinical models allowed the identification, confirmation, and thorough study of these pathways. This review looks into the current and future role of preclinical models to understand resistance to androgen receptor-targeted therapies. Increasing knowledge on this resistance will greatly improve insights into tumor pathophysiology and future treatment strategies in prostate cancer.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7926818PMC
http://dx.doi.org/10.3390/cancers13040915DOI Listing

Publication Analysis

Top Keywords

prostate cancer
20
preclinical models
12
prostate
5
cancer
5
models prostate
4
resistance
4
cancer resistance
4
resistance targeting
4
targeting therapies
4
therapies prostate
4

Similar Publications

Background: Cytokeratins are intracellular proteins known as diagnostic biomarkers or prognostic factors for certain cancers. Cytokeratin 19 (CK-19) expression has been proven to have prognostic value for some cancers, but its relationship with others, such as prostate cancer (PCa), remains unclear. This systematic review article aimed to examine the relationship between CK-19 expression and prostate adenocarcinoma (PAC).

View Article and Find Full Text PDF

Prostate cancer (PCa) is one of the most common cancers in men worldwide. Autophagy-related genes (ARGs) may play an important role in various biological processes of PCa. The aim of this study was to identify and evaluate autophagy-related features to predict clinical outcomes in patients with PCa.

View Article and Find Full Text PDF

Ultrasound-guided Transperineal Prostate Thermal Ablation (TPTA) for Benign Prostatic Hyperplasia: Feasibility of an Outpatient Procedure using Radiofrequency Ablation.

Cardiovasc Intervent Radiol

January 2025

Department of Radiology, Universidade Federal de São Paulo (UNIFESP), Rua Dr. Ovidio Pires de Campos, 75, Cerqueira César, São Paulo, SP, 05403-010, Brazil.

Purpose: To evaluate the feasibility, safety, and short-term (3-month) results of transperineal prostate thermal ablation (TPTA) as a minimally invasive outpatient treatment for benign prostatic hyperplasia (BPH).

Materials And Methods: A prospective nonrandomized study of 25 patients with lower urinary tract symptoms secondary to BPH seeking care at 2 interventional radiology centers between March and July 2024. TPTA was performed using a 17G radiofrequency needle with a 10-mm active tip under unconscious sedation combined with bilateral perineal and periprostatic nerve blocks.

View Article and Find Full Text PDF

Background: Alkaline phosphatase (ALP) declines and pain responses can occur during radium-223 (Ra) treatment, but their association with treatment outcomes is unclear.

Methods: For patients with metastatic castration-resistant prostate cancer treated with Ra in the REASSURE study, we investigated whether ALP decline (Week 12) and/or pain response (during treatment) are associated with improved overall survival (OS). The Brief Pain Inventory-Short Form (BPI-SF) was used to assess pain at baseline and pain response (in patients with baseline BPI-SF score ≥2).

View Article and Find Full Text PDF

Using XBGoost, an interpretable machine learning model, for diagnosing prostate cancer in patients with PSA < 20 ng/ml based on the PSAMR indicator.

Sci Rep

January 2025

Department of Urology, The First Affiliated Hospital of Wannan Medical College, Yijishan Hospital, Wuhu, 241001, Anhui, People's Republic of China.

To create a diagnostic tool before biopsy for patients with prostate-specific antigen (PSA) levels < 20 ng/ml to minimize prostate biopsy-related discomfort and risks. Data from 655 patients who underwent transperineal prostate biopsy at the First Affiliated Hospital of Wannan Medical College from July 2021 to January 2023 were collected and analyzed. After applying the Synthetic Minority Over-sampling TEchnique class balancing on the training set, multiple machine learning models were constructed by using the Least Absolute Shrinkage and Selection Operator (LASSO) feature selection to identify the significant variables.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!