Comparison of PIV and Other Immune Inflammation Markers of Oncological and Survival Outcomes in Patients Undergoing Radical Cystectomy

Author:

Russo Pierluigi1ORCID,Palermo Giuseppe1ORCID,Iacovelli Roberto2ORCID,Ragonese Mauro1ORCID,Ciccarese Chiara2,Maioriello Giuseppe1ORCID,Fantasia Fabrizio1,Bizzarri Francesco Pio1ORCID,Marino Filippo1ORCID,Moosavi Koosha1,Nigro Domenico1,Filomena Giovanni Battista1,Gavi Filippo1ORCID,Rossi Francesco1ORCID,Pinto Francesco1,Racioppi Marco1ORCID,Foschi Nazario1ORCID

Affiliation:

1. Department of Urology, Fondazione Policlinico Universitario Agostino Gemelli, Largo Francesco Vito 1, 00168 Rome, Italy

2. Department of Oncology, Fondazione Policlinico Universitario Agostino Gemelli, Largo Francesco Vito 1, 00168 Rome, Italy

Abstract

Inflammation is widely acknowledged as a significant characteristic of cancer, playing a substantial function in both the initiation and advancement of cancers. In this research, we planned to compare pan-immune inflammation markers and other well-known markers (systemic immune inflammation index and neutrophil to lymphocyte ratio) to predict prognosis in individuals treated with radical cystectomy for bladder cancer. Methods: In this retrospective analysis, we focused on preoperative PIV, systemic immune inflammation index (SII), and neutrophil–lymphocyte ratio (NLR) in 193 individuals managed with radical cystectomy for bladder cancer between January 2016 and November 2022. Multivariable logistic regression assessments were performed to assess the predictive capabilities of PIV, SII, and NLR for infiltration of lymph nodes (N), aggressive tumor stage (pT3/pT4), and any non-organ limited disease at the time of RC. Multivariable Cox regression analyses were conducted to assess the predictive impact of PIV on Relapse-free survival (RFS), Cancer-specific survival (CSS), and Overall survival (OS). Results: Our individuals were divided into high PIV and low PIV cohorts using the optimal cut-off value (340.96 × 109/L) based on receiver operating characteristic curve analysis for relapse-free survival. In multivariable preoperative logistic regression models, only SII and PIV correlated with the infiltration of lymph nodes, aggressive disease, and any non-organ confined disease. In multivariable Cox regression models considering presurgical clinicopathological variables, a higher PIV was associated with diminished RFS (p = 0.017) and OS (p = 0.029). In addition, in multivariable Cox regression models for postoperative outcomes, a high PIV correlated with both RFS (p = 0.034) and OS (p = 0.048). Conclusions: Our study suggests that PIV and SII are two very similar markers that may serve as independent and significant predictors of aggressive disease and worse survival impacts on individuals undergoing radical cystectomy for bladder neoplasm.

Publisher

MDPI AG

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