Pathological findings at radical prostatectomy after initial active surveillance in low-risk prostate cancer patients. Did we miss the chance to cure?

2017 ◽  
Vol 16 (3) ◽  
pp. e1386-e1387
Author(s):  
N. Suardi ◽  
S. Luzzago ◽  
P. Dell’Oglio ◽  
N. Fossati ◽  
G. Gandaglia ◽  
...  
Diagnostics ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 355
Author(s):  
Matteo Ferro ◽  
Gennaro Musi ◽  
Deliu Victor Matei ◽  
Alessandro Francesco Mistretta ◽  
Stefano Luzzago ◽  
...  

Background: circulating levels of lymphocytes, platelets and neutrophils have been identified as factors related to unfavorable clinical outcome for many solid tumors. The aim of this cohort study is to evaluate and validate the use of the Prostatic Systemic Inflammatory Markers (PSIM) score in predicting and improving the detection of clinically significant prostate cancer (csPCa) in men undergoing robotic radical prostatectomy for low-risk prostate cancer who met the inclusion criteria for active surveillance. Methods: we reviewed the medical records of 260 patients who fulfilled the inclusion criteria for active surveillance. We performed a head-to-head comparison between the histological findings of specimens after radical prostatectomy (RP) and prostate biopsies. The PSIM score was calculated on the basis of positivity according to cutoffs (neutrophil-to-lymphocyte ratio (NLR) 2.0, platelets-to-lymphocyte ratio (PLR) 118 and monocyte-to-lymphocyte-ratio (MLR) 5.0), with 1 point assigned for each value exceeding the specified threshold and then summed, yielding a final score ranging from 0 to 3. Results: median NLR was 2.07, median PLR was 114.83, median MLR was 3.69. Conclusion: we found a significantly increase in the rate of pathological International Society of Urological Pathology (ISUP) ≥ 2 with the increase of PSIM. At the multivariate logistic regression analysis adjusted for age, prostate specific antigen (PSA), PSA density, prostate volume and PSIM, the latter was found the sole independent prognostic variable influencing probability of adverse pathology.


2017 ◽  
Vol 35 (8) ◽  
pp. 1205-1212 ◽  
Author(s):  
Alexander Kretschmer ◽  
Alexander Buchner ◽  
Markus Grabbert ◽  
Anne Sommer ◽  
Annika Herlemann ◽  
...  

2010 ◽  
Vol 58 (6) ◽  
pp. 831-835 ◽  
Author(s):  
Mark S. Soloway ◽  
Cynthia T. Soloway ◽  
Ahmed Eldefrawy ◽  
Kristell Acosta ◽  
Bruce Kava ◽  
...  

2011 ◽  
Vol 185 (4S) ◽  
Author(s):  
Meelan Bul ◽  
Roderick van den Bergh ◽  
Pim van Leeuwen ◽  
Xiaoye Zhu ◽  
Fritz Schröder ◽  
...  

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