68Ga-Labeled Anti–Prostate-Specific Membrane Antigen Peptide as Marker for Androgen Deprivation Therapy Response in Prostate Cancer

2016 ◽  
Vol 41 (5) ◽  
pp. 423-425 ◽  
Author(s):  
Carl Diedrich Schlenkhoff ◽  
Florian Gaertner ◽  
Markus Essler ◽  
Stefan Hauser ◽  
Hojjat Ahmadzadehfar
2019 ◽  
Vol 40 (12) ◽  
pp. 1283-1288 ◽  
Author(s):  
Priyamvada Gupta ◽  
Vedang Murthy ◽  
Archi Agarwal ◽  
Madan Maitre ◽  
Nihit Mhatre ◽  
...  

Radiographics ◽  
2020 ◽  
Vol 40 (5) ◽  
pp. 1412-1430 ◽  
Author(s):  
Felipe G. Barbosa ◽  
Marcelo A. Queiroz ◽  
Daniela A. Ferraro ◽  
Rafael F. Nunes ◽  
Priscilla R. Dreyer ◽  
...  

Cancers ◽  
2018 ◽  
Vol 10 (10) ◽  
pp. 379 ◽  
Author(s):  
Nitya Sharma ◽  
Kathryn Pellegrini ◽  
Veronique Ouellet ◽  
Felipe Giuste ◽  
Selvi Ramalingam ◽  
...  

Background: Patients with locally advanced or recurrent prostate cancer typically undergo androgen deprivation therapy (ADT), but the benefits are often short-lived and the responses variable. ADT failure results in castration-resistant prostate cancer (CRPC), which inevitably leads to metastasis. We hypothesized that differences in tumor transcriptional programs may reflect differential responses to ADT and subsequent metastasis. Results: We performed whole transcriptome analysis of 20 patient-matched Pre-ADT biopsies and 20 Post-ADT prostatectomy specimens, and identified two subgroups of patients (high impact and low impact groups) that exhibited distinct transcriptional changes in response to ADT. We found that all patients lost the AR-dependent subtype (PCS2) transcriptional signatures. The high impact group maintained the more aggressive subtype (PCS1) signal, while the low impact group more resembled an AR-suppressed (PCS3) subtype. Computational analyses identified transcription factor coordinated groups (TFCGs) enriched in the high impact group network. Leveraging a large public dataset of over 800 metastatic and primary samples, we identified 33 TFCGs in common between the high impact group and metastatic lesions, including SOX4/FOXA2/GATA4, and a TFCG containing JUN, JUNB, JUND, FOS, FOSB, and FOSL1. The majority of metastatic TFCGs were subsets of larger TFCGs in the high impact group network, suggesting a refinement of critical TFCGs in prostate cancer progression. Conclusions: We have identified TFCGs associated with pronounced initial transcriptional response to ADT, aggressive signatures, and metastasis. Our findings suggest multiple new hypotheses that could lead to novel combination therapies to prevent the development of CRPC following ADT.


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