Atm sequence variants are predictive of adverse radiotherapy response among patients treated for prostate cancer

Author(s):  
J.A. Cesaretti ◽  
R.G. Stock ◽  
D.A. Atencio ◽  
J.L. Bernstein ◽  
N.N. Stone ◽  
...  
2005 ◽  
Vol 173 (4S) ◽  
pp. 291-292
Author(s):  
Jamie A. Cesaretti ◽  
Richard G. Stock ◽  
Nelson N. Stone ◽  
Steven Lehrer ◽  
David A. Atencio ◽  
...  

2013 ◽  
Vol 14 (6) ◽  
pp. 347-355 ◽  
Author(s):  
E N Rogers ◽  
D Z Jones ◽  
N C Kidd ◽  
S Yeyeodu ◽  
G Brock ◽  
...  

2015 ◽  
Vol 22 (4) ◽  
pp. 519-530 ◽  
Author(s):  
Rodrigo B de Alexandre ◽  
Anelia D Horvath ◽  
Eva Szarek ◽  
Allison D Manning ◽  
Leticia F Leal ◽  
...  

We hypothesized that mutations that inactivate phosphodiesterase (PDE) activity and lead to increased cAMP and cyclic guanosine monophosphate levels may be associated with prostate cancer (PCa). We sequenced the entire PDE coding sequences in the DNA of 16 biopsy samples from PCa patients. Novel mutations were confirmed in the somatic or germline state by Sanger sequencing. Data were then compared to the 1000 Genome Project. PDE, CREB and pCREB protein expression was also studied in all samples, in both normal and abnormal tissue, by immunofluorescence. We identified three previously described PDE sequence variants that were significantly more frequent in PCa. Four novel sequence variations, one each in thePDE4B,PDE6C,PDE7BandPDE10Agenes, respectively, were also found in the PCa samples. Interestingly,PDE10AandPDE4Bnovel variants that were present in 19 and 6% of the patients were found in the tumor tissue only. In patients carrying PDE defects, there was pCREB accumulation (P<0.001), and an increase of the pCREB:CREB ratio (patients 0.97±0.03; controls 0.52±0.03;P-value <0.001) by immunohistochemical analysis. We conclude that PDE sequence variants may play a role in the predisposition and/or progression to PCa at the germline and/or somatic state respectively.


2008 ◽  
Vol 29 (5) ◽  
pp. 999-1004 ◽  
Author(s):  
Yen-Ching Chen ◽  
Edward Giovannucci ◽  
Peter Kraft ◽  
David J.Hunter

2006 ◽  
Vol 9 (3) ◽  
pp. 284-292 ◽  
Author(s):  
L R Kidd ◽  
A Coulibaly ◽  
T M Templeton ◽  
W Chen ◽  
L O Long ◽  
...  

2005 ◽  
Vol 65 (24) ◽  
pp. 11771-11778 ◽  
Author(s):  
Yen-Ching Chen ◽  
Edward Giovannucci ◽  
Ross Lazarus ◽  
Peter Kraft ◽  
Shamika Ketkar ◽  
...  

Cells ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 3223
Author(s):  
Verena Lieb ◽  
Amer Abdulrahman ◽  
Katrin Weigelt ◽  
Siegfried Hauch ◽  
Michael Gombert ◽  
...  

Prostate cancer (PCa) is the second most common malignant cancer and is a major cause of morbidity and mortality among men worldwide. There is still an urgent need for biomarkers applicable for diagnosis, prognosis, therapy prediction, or therapy monitoring in PCa. Liquid biopsies, including cell-free DNA (cfDNA) and circulating tumor cells (CTCs), are a valuable source for studying such biomarkers and are minimally invasive. In our study, we investigated the cfDNA of 34 progressive PCa patients, via targeted sequencing, for sequence variants and for the occurrence of CTCs, with a focus on androgen receptor splice variant 7 (AR-V7)-positive CTCs. The cfDNA content was associated with overall survival (OS; p = 0.014), disease-specific survival (DSS; p = 0.004), and time to treatment change (TTC; p = 0.001). Moreover, when considering all sequence variants grouped by their functional impact and allele frequency, a significant association with TTC (p = 0.017) was observed. When investigating only pathogenic or likely pathogenic gene variants, variants of the BRCA1 gene (p = 0.029) and the AR ligand-binding domain (p = 0.050) were associated with a shorter TTC. Likewise, the presence of CTCs was associated with a shorter TTC (p = 0.031). The presence of AR-V7-positive CTCs was associated with TTC (p < 0.001) in Kaplan–Meier analysis. Interestingly, all patients with AR-V7-positive CTCs also carried TP53 point mutations. Altogether, analysis of cfDNA and CTCs can provide complementary information that may support temporal and targeted treatment decisions and may elucidate the optimal choice within the variety of therapy options for advanced PCa patients.


2010 ◽  
Author(s):  
Jianjun Zhang ◽  
Ishwori Dhakal ◽  
Graham Greene ◽  
Nicholas Lang ◽  
Fred Kadlubar

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