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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

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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Autores principales: Ferro, Matteo, Musi, Gennaro, Matei, Deliu Victor, Mistretta, Alessandro Francesco, Luzzago, Stefano, Cozzi, Gabriele, Bianchi, Roberto, Di Trapani, Ettore, Cioffi, Antonio, Lucarelli, Giuseppe, Busetto, Gian Maria, Del Giudice, Francesco, Russo, Giorgio Ivan, Di Mauro, Marina, Porreca, Angelo, Renne, Giuseppe, Catellani, Michele, Bottero, Danilo, Brescia, Antonio, Cordima, Giovanni, de Cobelli, Ottavio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924196/
https://www.ncbi.nlm.nih.gov/pubmed/33672650
http://dx.doi.org/10.3390/diagnostics11020355
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author Ferro, Matteo
Musi, Gennaro
Matei, Deliu Victor
Mistretta, Alessandro Francesco
Luzzago, Stefano
Cozzi, Gabriele
Bianchi, Roberto
Di Trapani, Ettore
Cioffi, Antonio
Lucarelli, Giuseppe
Busetto, Gian Maria
Del Giudice, Francesco
Russo, Giorgio Ivan
Di Mauro, Marina
Porreca, Angelo
Renne, Giuseppe
Catellani, Michele
Bottero, Danilo
Brescia, Antonio
Cordima, Giovanni
de Cobelli, Ottavio
author_facet Ferro, Matteo
Musi, Gennaro
Matei, Deliu Victor
Mistretta, Alessandro Francesco
Luzzago, Stefano
Cozzi, Gabriele
Bianchi, Roberto
Di Trapani, Ettore
Cioffi, Antonio
Lucarelli, Giuseppe
Busetto, Gian Maria
Del Giudice, Francesco
Russo, Giorgio Ivan
Di Mauro, Marina
Porreca, Angelo
Renne, Giuseppe
Catellani, Michele
Bottero, Danilo
Brescia, Antonio
Cordima, Giovanni
de Cobelli, Ottavio
author_sort Ferro, Matteo
collection PubMed
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.
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spelling pubmed-79241962021-03-03 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 Ferro, Matteo Musi, Gennaro Matei, Deliu Victor Mistretta, Alessandro Francesco Luzzago, Stefano Cozzi, Gabriele Bianchi, Roberto Di Trapani, Ettore Cioffi, Antonio Lucarelli, Giuseppe Busetto, Gian Maria Del Giudice, Francesco Russo, Giorgio Ivan Di Mauro, Marina Porreca, Angelo Renne, Giuseppe Catellani, Michele Bottero, Danilo Brescia, Antonio Cordima, Giovanni de Cobelli, Ottavio Diagnostics (Basel) Article 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. MDPI 2021-02-20 /pmc/articles/PMC7924196/ /pubmed/33672650 http://dx.doi.org/10.3390/diagnostics11020355 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ferro, Matteo
Musi, Gennaro
Matei, Deliu Victor
Mistretta, Alessandro Francesco
Luzzago, Stefano
Cozzi, Gabriele
Bianchi, Roberto
Di Trapani, Ettore
Cioffi, Antonio
Lucarelli, Giuseppe
Busetto, Gian Maria
Del Giudice, Francesco
Russo, Giorgio Ivan
Di Mauro, Marina
Porreca, Angelo
Renne, Giuseppe
Catellani, Michele
Bottero, Danilo
Brescia, Antonio
Cordima, Giovanni
de Cobelli, Ottavio
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
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924196/
https://www.ncbi.nlm.nih.gov/pubmed/33672650
http://dx.doi.org/10.3390/diagnostics11020355
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