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.

active surveillance lymphocyte to monocyte ratio neutrophil to lymphocyte ratio platelet to lymphocyte ratio prognosis prostate cancer

Journal

Diagnostics (Basel, Switzerland)
ISSN: 2075-4418
Titre abrégé: Diagnostics (Basel)
Pays: Switzerland
ID NLM: 101658402

Informations de publication

Date de publication:
20 Feb 2021
Historique:
received: 07 02 2021
revised: 18 02 2021
accepted: 19 02 2021
entrez: 6 3 2021
pubmed: 7 3 2021
medline: 7 3 2021
Statut: epublish

Résumé

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. 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. median NLR was 2.07, median PLR was 114.83, median MLR was 3.69. 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.

Sections du résumé

BACKGROUND 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 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 RESULTS
median NLR was 2.07, median PLR was 114.83, median MLR was 3.69.
CONCLUSION CONCLUSIONS
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.

Identifiants

pubmed: 33672650
pii: diagnostics11020355
doi: 10.3390/diagnostics11020355
pmc: PMC7924196
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Matteo Ferro (M)

Department of Urology, European Institute of Oncology, IRCCS, 20141 Milan, Italy.

Gennaro Musi (G)

Department of Urology, European Institute of Oncology, IRCCS, 20141 Milan, Italy.

Deliu Victor Matei (DV)

Department of Urology, European Institute of Oncology, IRCCS, 20141 Milan, Italy.

Alessandro Francesco Mistretta (AF)

Department of Urology, European Institute of Oncology, IRCCS, 20141 Milan, Italy.

Stefano Luzzago (S)

Department of Urology, European Institute of Oncology, IRCCS, 20141 Milan, Italy.

Gabriele Cozzi (G)

Department of Urology, European Institute of Oncology, IRCCS, 20141 Milan, Italy.

Roberto Bianchi (R)

Department of Urology, European Institute of Oncology, IRCCS, 20141 Milan, Italy.

Ettore Di Trapani (E)

Department of Urology, European Institute of Oncology, IRCCS, 20141 Milan, Italy.

Antonio Cioffi (A)

Department of Urology, European Institute of Oncology, IRCCS, 20141 Milan, Italy.

Giuseppe Lucarelli (G)

Department of Emergency and Organ Transplantation, Urology, Andrology and Kidney Transplantation Unit, University of Bari, 70124 Bari, Italy.

Gian Maria Busetto (GM)

Department of Urology and Renal Transplantation, University of Foggia Policlinico Riuniti, 71122 Foggia, Italy.

Francesco Del Giudice (F)

Department of Urology, Sapienza Rome University Policlinico Umberto I, 00185 Rome, Italy.

Giorgio Ivan Russo (GI)

Department of Urology, University of Catania, 95123 Catania, Italy.

Marina Di Mauro (M)

Department of Urology, University of Catania, 95123 Catania, Italy.

Angelo Porreca (A)

Department of Urology, Veneto Institute of Oncology, 31033 Padua, Italy.

Giuseppe Renne (G)

Department of Pathology, European Institute of Oncology, IRCCS, 20141 Milan, Italy.

Michele Catellani (M)

Department of Urology, European Institute of Oncology, IRCCS, 20141 Milan, Italy.

Danilo Bottero (D)

Department of Urology, European Institute of Oncology, IRCCS, 20141 Milan, Italy.

Antonio Brescia (A)

Department of Urology, European Institute of Oncology, IRCCS, 20141 Milan, Italy.

Giovanni Cordima (G)

Department of Urology, European Institute of Oncology, IRCCS, 20141 Milan, Italy.

Ottavio de Cobelli (O)

Department of Urology, European Institute of Oncology, IRCCS, 20141 Milan, Italy.
Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy.

Classifications MeSH