天津医药 ›› 2021, Vol. 49 ›› Issue (2): 159-164.doi: 10.11958/20201927

• 临床研究 • 上一篇    下一篇

术前全身免疫炎症指数对非肌层浸润性膀胱癌患者肿瘤复发的预测价值 #br#

曹志文,宋东奎,魏晓松,金冰斋,马琦岳   

  1. 郑州大学第一附属医院泌尿外科(邮编450052
  • 收稿日期:2020-07-07 修回日期:2020-11-16 出版日期:2021-02-15 发布日期:2021-02-02
  • 通讯作者: 曹志文 E-mail:caozhiwenok@163.com
  • 基金资助:
    NF-κB/Trm6/Trm61信号通路调控tRNAiMet稳定性促进膀胱癌发生发展的分子 机制

The predictive value of preoperative systemic immune-inflammation index for tumor recurrence in patients with non-muscular invasive bladder cancer #br#

  • Received:2020-07-07 Revised:2020-11-16 Published:2021-02-15 Online:2021-02-02
  • Contact: Zhi WenCAO E-mail:caozhiwenok@163.com

摘要: 目的 探讨术前全身免疫炎症指数(SII)对接受经尿道膀胱肿瘤电切术(TURBT)的非肌层浸润性膀胱癌
NMIBC)患者肿瘤复发的预测价值。 方法回顾性收集201NMIBC患者的实验室检查和病理结果等临床资料,
根据术前
1周的血常规结果计算中性粒细胞与淋巴细胞比值(NLR)、血小板与淋巴细胞比值(PLR)和SII值。利用受
试者工作特征(
ROC)曲线分析比较3种指标预测NMIBC患者肿瘤复发的准确性。根据SII的最佳分界值,将患者分
成高
SII组和低SII组,比较2组患者临床特征的差异。术后对患者进行随访,采用Kaplan-Meier法检验绘制高SII
SII组患者的复发曲线。使用多因素Cox回归模型分析影响NMIBC患者术后肿瘤复发的独立危险因素,然后将独
立危险因素纳入并构建预测
NMIBC患者123年无复发率的列线图。通过一致性指数(C指数)和校准曲线来确定
列线图的预测精度和一致性。
结果NLRPLRSII预测NMIBC 患者肿瘤复发的曲线下面积(AUC)分别为0.664
0.6560.729SII预测NMIBC患者肿瘤复发的准确性高于NLRPLRZ分别为2.3982.454,均P0.05)。SII的最
佳分界值为
385,以此将201例患者分为低SII组(SII385130例)和高SII组(SII≥38571例)。与低SII组相比,高
SII组肿瘤>3 cm比例、病理T1分期比例和肿瘤复发率更高(均P0.05)。所有患者术后中位随访时间6233~84)个
月,随访期间共
45例(22.4%)出现复发。多因素Cox回归分析结果显示高SII HR=2.82995%CI1.4165.654),肿瘤
T1 分期(HR=3.09195%CI1.6605.757)、肿瘤>3 cmHR=2.33995%CI1.1524.751)、多发肿瘤(HR=2.083
95%CI1.0334.202)是影响患者术后肿瘤复发的独立危险因素(均P0.05)。列线图内部验证的C 指数为0.768
95%CI0.6990.837)。校准曲线表明列线图的预测结果与实际的观测结果一致性良好。 结论 SII可作为预测
NMIBC患者肿瘤复发的指标,并且预测准确度高于NLRPLR。根据独立危险因素构建的列线图具有较高的预测
价值。

关键词: 膀胱肿瘤, 复发, 列线图, 非肌层浸润性膀胱癌, 全身免疫炎症指数, 经尿道膀胱肿瘤电切术

Abstract: ObjectiveTo investigate the predictive value of preoperative systemic immune-inflammatory index (SII)
for tumor recurrence in non-invasive bladder cancer (NMIBC) patients who underwent transurethral resection of bladder
tumor (TURBT).
MethodsThe clinical data of 201 patients newly diagnosed with NMIBC were retrospectively analyzed.
Clinical data such as laboratory examination and pathological results were collected. Neutrophil-to-lymphocyte ratio (NLR),
platelet-to-lymphocyte ratio (PLR) and SII were calculated based on the blood routine results one week before surgery. The
receiver operating characteristic (ROC) curves were used to compare the accuracy of the three indicators in predicting tumor
recurrence in NMIBC patients. According to the optimal cut-off value of SII, the patients were divided into high SII and low
SII groups, and the differences in the clinical characteristics of the patients were compared between the two groups. Patients
were followed up after surgery. The recurrence curves of patients in high SII and low SII groups were plotted using the
Kaplan-Meier method. Multivariate Cox regression model was used to analyze the independent risk factors affecting tumor
recurrence in NMIBC patients, and then these factors were included and a nomogram was constructed to predict the 1-year,
2-year and 3-year recurrence-free survival rate of NMIBC patients. The prediction accuracy and consistency of nomogram
were determined by the concordance index (C-index) and the calibration curve.
ResultsThe areas under the curve (AUC)
of NLR, PLR and SII for predicting tumor recurrence in patients with NMIBC were 0.664, 0.656, and 0.729, respectively.
There was higher accuracy of SII in predicting tumor recurrence in NMIBC patients than that of NLR and PLR (
Z=2.398,
2.454, respectively, both
P<0.05). The optimal cut-off value of SII was 385, and 201 patients were divided into low SII group
(SII<385,
n=130 ) and high SII group (SII≥385, n=71). Compared with the low SII group, the proportion of tumor volume 3
cm, the proportion of pathological T1 stage and tumor recurrence rate were higher in high SII group (all
P0.05). The
median follow-up time of all patients was 62 (33-84) months after surgery, and 45 patients (22.4%) recurred during the
follow-up period. Multivariate Cox regression analysis showed that high SII (
HR=2.829, 95%CI: 1.416-5.654), tumor T1
stage (
HR=3.091, 95%CI: 1.660-5.757), tumor size >3 cm (HR=2.339, 95%CI: 1.152-4.751) and multiple tumors (HR=
2.083, 95%
CI: 1.033-4.202) were independent risk factors for postoperative tumor recurrence (all P0.05). The C-index for
internal verification of nomogram was 0.768 (95%
CI: 0.699-0.837). The calibration curves indicated good agreement
between the nomogram predictions and the actual observations.
ConclusionPreoperative SII can be used as an indicator to
predict tumor recurrence in patients with NMIBC. The prediction accuracy of SII is higher than that of NLR and PLR. The
nomogram according to independent risk factors has high predictive value.


Key words: urinary bladder neoplasms, recurrence, nomograms, non-invasive bladder cancer, systemic immuneinflammatory index, transurethral resection of bladder tumor

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