Assessment of PSIM (Prostatic Systemic Inflammatory Markers) Score in Predicting Pathologic Features at Robotic Radical Prostatectomy in Patients with Low-Risk Prostate Cancer Who Met the Inclusion Criteria for Active Surveillance
Matteo Ferro,
Gennaro Musi,
Deliu Victor Matei,
Alessandro Francesco Mistretta,
Stefano Luzzago,
Gabriele Cozzi,
Roberto Bianchi,
Ettore Di Trapani,
Antonio Cioffi,
Giuseppe Lucarelli,
Gian Maria Busetto,
Francesco Del Giudice,
Giorgio Ivan Russo,
Marina Di Mauro,
Angelo Porreca,
Giuseppe Renne,
Michele Catellani,
Danilo Bottero,
Antonio Brescia,
Giovanni Cordima,
Ottavio de Cobelli
Affiliations
Matteo Ferro
Department of Urology, European Institute of Oncology, IRCCS, 20141 Milan, Italy
Gennaro Musi
Department of Urology, European Institute of Oncology, IRCCS, 20141 Milan, Italy
Deliu Victor Matei
Department of Urology, European Institute of Oncology, IRCCS, 20141 Milan, Italy
Alessandro Francesco Mistretta
Department of Urology, European Institute of Oncology, IRCCS, 20141 Milan, Italy
Stefano Luzzago
Department of Urology, European Institute of Oncology, IRCCS, 20141 Milan, Italy
Gabriele Cozzi
Department of Urology, European Institute of Oncology, IRCCS, 20141 Milan, Italy
Roberto Bianchi
Department of Urology, European Institute of Oncology, IRCCS, 20141 Milan, Italy
Ettore Di Trapani
Department of Urology, European Institute of Oncology, IRCCS, 20141 Milan, Italy
Antonio Cioffi
Department of Urology, European Institute of Oncology, IRCCS, 20141 Milan, Italy
Giuseppe Lucarelli
Department of Emergency and Organ Transplantation, Urology, Andrology and Kidney Transplantation Unit, University of Bari, 70124 Bari, Italy
Gian Maria Busetto
Department of Urology and Renal Transplantation, University of Foggia Policlinico Riuniti, 71122 Foggia, Italy
Francesco Del Giudice
Department of Urology, Sapienza Rome University Policlinico Umberto I, 00185 Rome, Italy
Giorgio Ivan Russo
Department of Urology, University of Catania, 95123 Catania, Italy
Marina Di Mauro
Department of Urology, University of Catania, 95123 Catania, Italy
Angelo Porreca
Department of Urology, Veneto Institute of Oncology, 31033 Padua, Italy
Giuseppe Renne
Department of Pathology, European Institute of Oncology, IRCCS, 20141 Milan, Italy
Michele Catellani
Department of Urology, European Institute of Oncology, IRCCS, 20141 Milan, Italy
Danilo Bottero
Department of Urology, European Institute of Oncology, IRCCS, 20141 Milan, Italy
Antonio Brescia
Department of Urology, European Institute of Oncology, IRCCS, 20141 Milan, Italy
Giovanni Cordima
Department of Urology, European Institute of Oncology, IRCCS, 20141 Milan, Italy
Ottavio de Cobelli
Department of Urology, European Institute of Oncology, IRCCS, 20141 Milan, Italy
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.