Russo Pierluigi, Palermo Giuseppe, Iacovelli Roberto, Ragonese Mauro, Ciccarese Chiara, Maioriello Giuseppe, Fantasia Fabrizio, Bizzarri Francesco Pio, Marino Filippo, Moosavi Koosha, Nigro Domenico, Filomena Giovanni Battista, Gavi Filippo, Rossi Francesco, Pinto Francesco, Racioppi Marco, Foschi Nazario
Department of Urology, Fondazione Policlinico Universitario Agostino Gemelli, Largo Francesco Vito 1, 00168 Rome, Italy.
Department of Oncology, Fondazione Policlinico Universitario Agostino Gemelli, Largo Francesco Vito 1, 00168 Rome, Italy.
Cancers (Basel). 2024 Feb 3;16(3):651. doi: 10.3390/cancers16030651.
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.
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).
Our individuals were divided into high PIV and low PIV cohorts using the optimal cut-off value (340.96 × 10/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 ( = 0.017) and OS ( = 0.029). In addition, in multivariable Cox regression models for postoperative outcomes, a high PIV correlated with both RFS ( = 0.034) and OS ( = 0.048).
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.
炎症被广泛认为是癌症的一个重要特征,在癌症的发生和发展中都起着重要作用。在本研究中,我们计划比较泛免疫炎症标志物和其他知名标志物(全身免疫炎症指数和中性粒细胞与淋巴细胞比值),以预测接受膀胱癌根治性膀胱切除术患者的预后。
在这项回顾性分析中,我们聚焦于2016年1月至2022年11月期间接受膀胱癌根治性膀胱切除术的193例患者的术前外周血免疫炎症指标(PIV)、全身免疫炎症指数(SII)和中性粒细胞与淋巴细胞比值(NLR)。进行多变量逻辑回归评估,以评估PIV、SII和NLR对淋巴结浸润(N)、侵袭性肿瘤分期(pT3/pT4)以及根治性膀胱切除术时任何非器官局限性疾病的预测能力。进行多变量Cox回归分析,以评估PIV对无复发生存期(RFS)、癌症特异性生存期(CSS)和总生存期(OS)的预测影响。
根据无复发生存期的受试者工作特征曲线分析,使用最佳临界值(340.96×10/L)将我们的患者分为高PIV和低PIV队列。在多变量术前逻辑回归模型中,只有SII和PIV与淋巴结浸润、侵袭性疾病和任何非器官局限性疾病相关。在考虑术前临床病理变量的多变量Cox回归模型中,较高的PIV与RFS降低(P = 0.017)和OS降低(P = 0.029)相关。此外,在术后结果的多变量Cox回归模型中,高PIV与RFS(P = 0.034)和OS(P = 0.048)均相关。
我们的研究表明,PIV和SII是两个非常相似的标志物,它们可能是侵袭性疾病的独立且重要的预测指标,对接受膀胱癌根治性膀胱切除术的患者生存影响较差。