Should inclusion criteria for active surveillance for low-risk prostate cancer be more stringent? From an interim analysis of PRIAS-JAPAN

2014 ◽  
Vol 33 (7) ◽  
pp. 981-987 ◽  
Author(s):  
Mikio Sugimoto ◽  
◽  
Hiromi Hirama ◽  
Akito Yamaguchi ◽  
Hirofumi Koga ◽  
...  

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.



Oncotarget ◽  
2016 ◽  
Vol 8 (11) ◽  
pp. 18424-18434 ◽  
Author(s):  
Matteo Ferro ◽  
Giuseppe Lucarelli ◽  
Dario Bruzzese ◽  
Giuseppe Di Lorenzo ◽  
Sisto Perdonà ◽  
...  


2015 ◽  
Vol 33 (5) ◽  
pp. 201.e1-201.e8 ◽  
Author(s):  
Ottavio de Cobelli ◽  
Daniela Terracciano ◽  
Elena Tagliabue ◽  
Sara Raimondi ◽  
Giacomo Galasso ◽  
...  


2014 ◽  
Vol 32 (4_suppl) ◽  
pp. 38-38
Author(s):  
Itay Aharon Sternberg ◽  
Changhong Yu ◽  
Gal Elimelech Keren Paz ◽  
Philip H. Kim ◽  
Melanie Bernstein ◽  
...  

38 Background: Due to the inability to predict progression and need for treatment, patients with low-risk prostate cancer (LRPC) managed by active surveillance (AS) are subjected to repeated biopsies and their possible complications. We developed a nomogram predicting the risk of progression in patients on AS for LRPC. Methods: A retrospective review of all patients enrolled in an AS program at Memorial Sloan-Kettering Cancer Center (MSKCC) between 1993 and 2012 was conducted. Demographic, clinical, and pathologic data for patients who met the inclusion criteria for AS (cT1 or cT2a, prostate-specific antigen [PSA] less than 10, Gleason 6 or less, no more than three positive biopsy cores and no greater than 50% involvement of any single core) on the diagnostic and the confirmatory biopsies were collected and used to develop a nomogram for predicting progression-free probability. Multivariable logistic regression analysis was used to model the association between each risk variable (age, PSA levels, clinical stage, biopsy features) and disease progression. Progression was defined as failure to meet the inclusion criteria during follow up. Results: A total of 1,095 patients were enrolled in an AS program at MSKCC during the study period, of which 680 met the inclusion criteria for AS on both the diagnostic and the confirmatory biopsies and had available follow-up. At a median follow-up of 3 years 101 patients progressed. A nomogram predicting the progression-free probability was designed based on characteristics at diagnosis, result of a confirmatory biopsy and the number of negative and positive surveillance biopsies to date. A concordance index of 0.596 was calculated. Conclusions: Conditioned upon external validation, this nomogram can be used to counsel patients on their risk of progression and their surveillance protocol can be adjusted appropriately, possibly avoiding unnecessary biopsies and preventing biopsy-related complications.



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