Assessment of PSIM (Prostatic Systemic InflammatoryMarkers) Score in Predicting Pathologic Features at Robotic Radical Prostatectomy in Patients with Low-Risk ProstateCancer Who Met the Inclusion Criteria for Active Surveillance
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 pred...
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MDPI AG
2021-02-01
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Series: | Diagnostics |
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Online Access: | https://www.mdpi.com/2075-4418/11/2/355 |
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record_format |
Article |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
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 |
spellingShingle |
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 Assessment of PSIM (Prostatic Systemic InflammatoryMarkers) Score in Predicting Pathologic Features at Robotic Radical Prostatectomy in Patients with Low-Risk ProstateCancer Who Met the Inclusion Criteria for Active Surveillance Diagnostics prostate cancer neutrophil to lymphocyte ratio platelet to lymphocyte ratio lymphocyte to monocyte ratio prognosis active surveillance |
author_facet |
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 |
author_sort |
Matteo Ferro |
title |
Assessment of PSIM (Prostatic Systemic InflammatoryMarkers) Score in Predicting Pathologic Features at Robotic Radical Prostatectomy in Patients with Low-Risk ProstateCancer Who Met the Inclusion Criteria for Active Surveillance |
title_short |
Assessment of PSIM (Prostatic Systemic InflammatoryMarkers) Score in Predicting Pathologic Features at Robotic Radical Prostatectomy in Patients with Low-Risk ProstateCancer Who Met the Inclusion Criteria for Active Surveillance |
title_full |
Assessment of PSIM (Prostatic Systemic InflammatoryMarkers) Score in Predicting Pathologic Features at Robotic Radical Prostatectomy in Patients with Low-Risk ProstateCancer Who Met the Inclusion Criteria for Active Surveillance |
title_fullStr |
Assessment of PSIM (Prostatic Systemic InflammatoryMarkers) Score in Predicting Pathologic Features at Robotic Radical Prostatectomy in Patients with Low-Risk ProstateCancer Who Met the Inclusion Criteria for Active Surveillance |
title_full_unstemmed |
Assessment of PSIM (Prostatic Systemic InflammatoryMarkers) Score in Predicting Pathologic Features at Robotic Radical Prostatectomy in Patients with Low-Risk ProstateCancer Who Met the Inclusion Criteria for Active Surveillance |
title_sort |
assessment of psim (prostatic systemic inflammatorymarkers) score in predicting pathologic features at robotic radical prostatectomy in patients with low-risk prostatecancer who met the inclusion criteria for active surveillance |
publisher |
MDPI AG |
series |
Diagnostics |
issn |
2075-4418 |
publishDate |
2021-02-01 |
description |
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. |
topic |
prostate cancer neutrophil to lymphocyte ratio platelet to lymphocyte ratio lymphocyte to monocyte ratio prognosis active surveillance |
url |
https://www.mdpi.com/2075-4418/11/2/355 |
work_keys_str_mv |
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doaj-6beab38bbcda48269d79a6f9f81d98612021-02-21T00:04:17ZengMDPI AGDiagnostics2075-44182021-02-011135535510.3390/diagnostics11020355Assessment of PSIM (Prostatic Systemic InflammatoryMarkers) Score in Predicting Pathologic Features at Robotic Radical Prostatectomy in Patients with Low-Risk ProstateCancer Who Met the Inclusion Criteria for Active SurveillanceMatteo Ferro0Gennaro Musi1Deliu Victor Matei2Alessandro Francesco Mistretta3Stefano Luzzago4Gabriele Cozzi5Roberto Bianchi6Ettore Di Trapani7Antonio Cioffi8Giuseppe Lucarelli9Gian Maria Busetto10Francesco Del Giudice11Giorgio Ivan Russo12Marina Di Mauro13Angelo Porreca14Giuseppe Renne15Michele Catellani16Danilo Bottero17Antonio Brescia18Giovanni Cordima19Ottavio de Cobelli20Department of Urology, European Institute of Oncology, IRCCS, 20141 Milan, ItalyDepartment of Urology, European Institute of Oncology, IRCCS, 20141 Milan, ItalyDepartment of Urology, European Institute of Oncology, IRCCS, 20141 Milan, ItalyDepartment of Urology, European Institute of Oncology, IRCCS, 20141 Milan, ItalyDepartment of Urology, European Institute of Oncology, IRCCS, 20141 Milan, ItalyDepartment of Urology, European Institute of Oncology, IRCCS, 20141 Milan, ItalyDepartment of Urology, European Institute of Oncology, IRCCS, 20141 Milan, ItalyDepartment of Urology, European Institute of Oncology, IRCCS, 20141 Milan, ItalyDepartment of Urology, European Institute of Oncology, IRCCS, 20141 Milan, ItalyDepartment of Emergency and Organ Transplantation, Urology, Andrology and Kidney Transplantation Unit, University of Bari, 70124 Bari, ItalyDepartment of Urology and Renal Transplantation, University of Foggia Policlinico Riuniti, 71122 Foggia, ItalyDepartment of Urology, Sapienza Rome University Policlinico Umberto I, 00185 Rome, ItalyDepartment of Urology, University of Catania, 95123 Catania, ItalyDepartment of Urology, University of Catania, 95123 Catania, ItalyDepartment of Urology, Veneto Institute of Oncology, 31033 Padua, ItalyDepartment of Pathology, European Institute of Oncology, IRCCS, 20141 Milan, ItalyDepartment of Urology, European Institute of Oncology, IRCCS, 20141 Milan, ItalyDepartment of Urology, European Institute of Oncology, IRCCS, 20141 Milan, ItalyDepartment of Urology, European Institute of Oncology, IRCCS, 20141 Milan, ItalyDepartment of Urology, European Institute of Oncology, IRCCS, 20141 Milan, ItalyDepartment of Urology, European Institute of Oncology, IRCCS, 20141 Milan, ItalyBackground: 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.https://www.mdpi.com/2075-4418/11/2/355prostate cancerneutrophil to lymphocyte ratioplatelet to lymphocyte ratiolymphocyte to monocyte ratioprognosisactive surveillance |