The prognostic significance of preoperative platelet-to-lymphocyte ratio and interleukin-6 level in non-muscle invasive bladder cancer.

IF 2.3 4区 医学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY International Journal of Biological Markers Pub Date : 2024-09-01 Epub Date: 2024-06-11 DOI:10.1177/03936155241261719
Xiangyu Wang, Shaoqi Zhang, Yongming Sun, Longjun Cai, Jianjun Zhang
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Abstract

Background: Non-muscle invasive bladder cancer (NMIBC) is the most prevalent type of bladder cancer, typically associated with a favorable prognosis and a risk of recurrence during the follow-up period. Inflammatory markers have been used to predict prognosis in various cancer types. The aim of this study was to explore the prognostic value of the readily accessible inflammatory markers, platelet-to-lymphocyte ratio (PLR) and interleukin-6 (IL-6), in NMIBC.

Methods: The study comprised a retrospective analysis of clinical data collected from NMIBC patients diagnosed between October 2018 and October 2020. PLR was calculated using the routine preoperative blood test results, and preoperative IL-6 levels were recorded. Receiver operating characteristic (ROC) curves were generated for PLR and IL-6 level and the optimal cut-off values were determined using Youden's index. Survival curves were generated to evaluate the association between PLR and IL-6, and recurrence-free survival (RFS), and univariate and multivariate analysis were performed using the Cox proportional hazards regression model. A nomogram and calibration curve were generated to assess the clinical significance of the model.

Results: The ROC curves demonstrated that PLR and IL-6 levels were significantly associated with tumor pathology grade, with area under the curve (AUC) values of 0.833 (95% CI 0.757, 0.910) for PLR and 0.724 (95% CI 0.622, 0.825) for IL-6 levels. PLR and IL-6 levels were also positively associated with tumor recurrence, with AUC values of 0.647 (95% CI 0.538, 0.756) and 0.846 (95% CI 0.769, 0.924), respectively. The survival curves indicated that patients with high PLR and high IL-6 levels had shorter RFS than those with low PLR and low IL-6 level (P < 0.01). Univariate Cox proportional hazards regression analysis showed that age, tumor size, tumor number, pathological grade, PLR and IL-6 were potential risk factors for NMIBC recurrence. Multivariate analysis further revealed that tumor number, smoking, PLR, and IL-6 were independent risk factors for NMIBC recurrence (P < 0.05).

Conclusions: Preoperative peripheral blood inflammatory markers (PLR and IL-6) are useful predictors of RFS in NMIBC patients at the time of initial diagnosis. High PLR and high IL-6 were identified as independent risk factors for tumor recurrence and could serve as potential biological markers for prediction of NMIBC recurrence.

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非肌层浸润性膀胱癌术前血小板淋巴细胞比值和白细胞介素-6水平的预后意义。
背景:非肌层浸润性膀胱癌(NMIBC)是最常见的膀胱癌类型,通常预后良好,但随访期间有复发风险。炎症标志物已被用于预测各种癌症类型的预后。本研究旨在探讨容易获得的炎症标志物--血小板与淋巴细胞比值(PLR)和白细胞介素-6(IL-6)--在 NMIBC 中的预后价值:该研究对2018年10月至2020年10月期间确诊的NMIBC患者的临床数据进行了回顾性分析。使用术前常规血液检测结果计算PLR,并记录术前IL-6水平。生成了PLR和IL-6水平的接收者操作特征曲线(ROC),并使用尤登指数确定了最佳截断值。生成生存曲线以评估PLR和IL-6与无复发生存率(RFS)之间的关系,并使用Cox比例危险回归模型进行单变量和多变量分析。为评估模型的临床意义,还生成了提名图和校准曲线:ROC曲线显示,PLR和IL-6水平与肿瘤病理分级显著相关,PLR的曲线下面积(AUC)值为0.833(95% CI 0.757,0.910),IL-6水平的曲线下面积(AUC)值为0.724(95% CI 0.622,0.825)。PLR和IL-6水平与肿瘤复发也呈正相关,AUC值分别为0.647(95% CI 0.538,0.756)和0.846(95% CI 0.769,0.924)。生存曲线显示,高PLR和高IL-6水平患者的RFS比低PLR和低IL-6水平患者的RFS短(P P 结论:高PLR和高IL-6水平患者的RFS比低PLR和低IL-6水平患者的RFS短:术前外周血炎症指标(PLR 和 IL-6)是预测 NMIBC 患者初诊时 RFS 的有效指标。高PLR和高IL-6被确定为肿瘤复发的独立风险因素,可作为预测NMIBC复发的潜在生物标记物。
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来源期刊
International Journal of Biological Markers
International Journal of Biological Markers 医学-生物工程与应用微生物
CiteScore
4.10
自引率
0.00%
发文量
43
期刊介绍: IJBM is an international, online only, peer-reviewed Journal, which publishes original research and critical reviews primarily focused on cancer biomarkers. IJBM targets advanced topics regarding the application of biomarkers in oncology and is dedicated to solid tumors in adult subjects. The clinical scenarios of interests are screening and early diagnosis of cancer, prognostic assessment, prediction of the response to and monitoring of treatment.
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