scholarly journals Circulating cell-free AR and CYP17A1 copy number variations may associate with outcome of metastatic castration-resistant prostate cancer patients treated with abiraterone

2015 ◽  
Vol 112 (10) ◽  
pp. 1717-1724 ◽  
Author(s):  
S Salvi ◽  
V Casadio ◽  
V Conteduca ◽  
S L Burgio ◽  
C Menna ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Patients ◽  
Copy Number ◽  
Copy Number Variations ◽  
Castration Resistant Prostate Cancer ◽  
Castration Resistant

Testosterone levels and androgen receptor copy number variations in castration‐resistant prostate cancer treated with abiraterone or enzalutamide

The Prostate ◽  
2019 ◽  
Vol 79 (11) ◽  
pp. 1211-1220 ◽  
Author(s):  
Cristian Lolli ◽  
Delia Lisi ◽  
Vincenza Conteduca ◽  
Giorgia Gurioli ◽  
Emanuela Scarpi ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Androgen Receptor ◽  
Copy Number ◽  
Copy Number Variations ◽  
Castration Resistant Prostate Cancer ◽  
Testosterone Levels ◽  
Castration Resistant

AR Copy Number and AR Signaling-directed Therapies in Castrationresistant Prostate Cancer

2018 ◽  
Vol 18 (9) ◽  
pp. 869-876
Author(s):  
Samanta Salvi ◽  
Vincenza Conteduca ◽  
Cristian Lolli ◽  
Sara Testoni ◽  
Valentina Casadio ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Copy Number ◽  
Clinical Trial Design ◽  
Complete Information ◽  
Castration Resistant Prostate Cancer ◽  
Castration Resistant ◽  
Anti Cancer ◽  
Hormone Sensitive ◽  
Predictive And Prognostic Biomarker

Background: Adaptive upregulation of Androgen Receptor (AR) is the most common event involved in the progression from hormone sensitive to Castration-Resistant Prostate Cancer (CRPC). AR signaling remains the main target of new AR signalling-directed therapies such as abiraterone and enzalutamide in CRPC patients. Objective: In this review, we discuss general mechanisms of resistance to AR-targeted therapies, with a focus on the role of AR Copy Number (CN). We reported methods and clinical applications of AR CN evaluation in tissue and liquid biopsy, thus to have a complete information regarding its role as predictive and prognostic biomarker. Conclusion: Outcomes of CRPC patients are reported to be highly variable as the consequence of tumor heterogeneity. AR CN could contribute to patient selection and tumor monitoring in CRPC treated with new anti-cancer treatment as abiraterone and enzalutamide. Further studies to investigate AR CN effect to these agents and its potential combination with other prognostic or predictive clinical factors are necessary in the context of harmonized clinical trial design.

scholarly journals Novel, non-invasive markers for detecting therapy induced neuroendocrine differentiation in castration-resistant prostate cancer patients

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Divya Bhagirath ◽  
Michael Liston ◽  
Theresa Akoto ◽  
Byron Lui ◽  
Barbara A. Bensing ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Patients ◽  
Neuroendocrine Differentiation ◽  
Extracellular Vesicle ◽  
Machine Learning Algorithms ◽  
Castration Resistant Prostate Cancer ◽  
Cellular Models ◽  
Non Invasive ◽  
Castration Resistant ◽  
Neuroendocrine Prostate Cancer

AbstractNeuroendocrine prostate cancer (NEPC), a highly aggressive variant of castration-resistant prostate cancer (CRPC), often emerges upon treatment with androgen pathway inhibitors, via neuroendocrine differentiation. Currently, NEPC diagnosis is challenging as available markers are not sufficiently specific. Our objective was to identify novel, extracellular vesicles (EV)-based biomarkers for diagnosing NEPC. Towards this, we performed small RNA next generation sequencing in serum EVs isolated from a cohort of CRPC patients with adenocarcinoma characteristics (CRPC-Adeno) vs CRPC-NE and identified significant dysregulation of 182 known and 4 novel miRNAs. We employed machine learning algorithms to develop an ‘EV-miRNA classifier’ that could robustly stratify ‘CRPC-NE’ from ‘CRPC-Adeno’. Examination of protein repertoire of exosomes from NEPC cellular models by mass spectrometry identified thrombospondin 1 (TSP1) as a specific biomarker. In view of our results, we propose that a miRNA panel and TSP1 can be used as novel, non-invasive tools to identify NEPC and guide treatment decisions. In conclusion, our study identifies for the first time, novel non-invasive exosomal/extracellular vesicle based biomarkers for detecting neuroendocrine differentiation in advanced castration resistant prostate cancer patients with important translational implications in clinical management of these patients that is currently extremely challenging.

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