Background: Even though patients with prostate cancer commonly respond to endocrine treatment, in most cases the disease progresses to castration resistant prostate cancer (CRPC). Our objective was to generate a novel cell line model representing the endocrine treatment naive prostate cancer for testing treatments that target the androgen receptor (AR) and androgen metabolism.
Methods: After culturing DuCaP cells 20 passages with additional 1 nM R1881, DuCaP-N(aive) cell line was developed and validated for testing endocrine therapy combinations. Cell viability, apoptosis and cell cycle distribution were assessed in DuCaP and DuCaP-N when interfering with the hormonal content.
Results: Addition of 1 nM R1881 to DuCaP reduces cell viability and induces cell cycle inhibition and apoptosis. Eventually, an androgen accustomed DuCaP-N cell line developed. An antiandrogen (bicalutamide), a histone deacetylase (HDAC) inhibitor (trichostatin A) and a 5alpha-reductase (SRD5A) inhibitor (finasteride) reduce cell viability, and their combinations give a synergistic response in inducing apoptosis.
Conclusions: The TMPRSS2-ERG expressing DuCaP-N cell line represents human prostate cancer prior to endocrine treatment, and its parental DuCaP cell line is a model for CRPC. These cell lines can be used for preclinical evaluation of compounds that target the androgenic pathway.
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http://dx.doi.org/10.1002/pros.21187 | 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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