根治性膀胱切除术后尿路上皮膀胱癌 NLR、PLR、SII 和 dNLR 的预后价值

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
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引用次数: 0

摘要

炎症在肿瘤发生和发展过程中起着至关重要的作用,炎症标志物有望预测癌症预后。然而,这些指标在肌层浸润性膀胱癌(MIBC)中的意义,尤其是在新辅助化疗(NAC)中的意义,仍然鲜为人知。本研究旨在评估中性粒细胞与淋巴细胞比值(NLR)、血小板与淋巴细胞比值(PLR)、全身免疫炎症指数(SII)和衍生中性粒细胞与淋巴细胞比值(dNLR)对在新辅助化疗时代接受根治性膀胱切除术(RC)的膀胱癌(BC)患者总生存期(OS)的预后作用。这项回顾性研究分析了本院膀胱癌登记处前瞻性收集的数据,这些数据涵盖了2016年3月1日至2022年12月31日期间接受根治性膀胱切除术的MIBC患者。术前采集血样计算NLR、PLR、SII和dNLR。OS的定义是从手术到最后一次随访或死亡。统计分析包括 ROC 曲线、Kaplan-Meier 曲线和 Cox 比例危险回归模型。本研究共纳入 187 名患者,中位随访时间为 14.7 个月,50.8% 的患者死亡。50.3%的患者接受了 NAC 治疗。对 NLR、PLR、SII 和 dNLR 进行二分的理想临界值分别为 1.76、104.30、410.66 和 1.30。在多变量分析中,这些生物标志物中的每一个都成为预测 OS 的独立预后因素。结果显示,NLR、PLR、SII 和 dNLR 水平升高与 OS 恶化之间存在相关性。这些炎症标志物的升高表明患者的生存率较低,凸显了它们作为疾病侵袭性指标的潜力。识别标记物升高的患者有助于医疗服务提供者制定个性化的治疗策略,改善患者的预后和生存率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prognostic Value of NLR, PLR, SII, and dNLR in Urothelial Bladder Cancer Following Radical Cystectomy

Background

Inflammation plays a crucial role in tumor development and progression, with inflammatory markers showing promise in predicting cancer prognosis. However, their significance in muscle-invasive bladder cancer (MIBC), especially in the context of neoadjuvant chemotherapy (NAC), remains poorly understood. This study aims to evaluate the prognostic utility of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune inflammation index (SII), and derived neutrophil-to-lymphocyte ratio (dNLR) for overall survival (OS) in bladder cancer (BC) patients undergoing radical cystectomy (RC) in the NAC era.

Patients and Methods

A retrospective review analyzed prospectively-collected data from our institutional BC registry, covering patients with MIBC undergoing RC with curative intent from March 1st, 2016, to December 31st, 2022. Blood samples were collected preoperatively to calculate NLR, PLR, SII, and dNLR. OS was defined from surgery to last follow-up or death. Statistical analyses included ROC curves, Kaplan-Meier Curves, and Cox proportional hazards regression models.

Results

A total of 187 patients with median duration follow-up of 14.7 month were included in this study and 50.8% experienced death. NAC was administered in 50.3% of cases. The ideal cut-off for dichotomizing NLR, PLR, SII, and dNLR was 1.76, 104.30, 410.66, and 1.30, respectively. In multivariable analysis each of these biomarkers emerged as an independent prognostic factor for predicting OS. The results showed a correlation between higher NLR, PLR, SII, and dNLR levels and a deterioration in OS.

Conclusion

Elevated values of these inflammatory markers indicate poorer survival, highlighting their potential as indicators of disease aggressiveness. Identifying patients with elevated markers can help healthcare providers personalize treatment strategies, improving patient outcomes and survival rates.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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