Gao Mingde, Yang Qiuxing, Xu Haifei, Chen Zhigang, Wang Xiaolin, Guo Haifeng
Department of Urology, Affiliated Tumor Hospital of Nantong University & Nantong Tumor Hospital, Nantong, 226361, People's Republic of China.
Department of Central Laboratory, Affiliated Tumor Hospital of Nantong University & Nantong Tumor Hospital, Nantong, 226361, People's Republic of China.
J Inflamm Res. 2022 Jul 21;15:4139-4147. doi: 10.2147/JIR.S373922. eCollection 2022.
Numerous studies, including bladder cancer (BLCA), have confirmed the relationship between conventional systemic inflammatory biomarkers and the prognosis of tumors. Leukocytes, as the most common factor in inflammatory indicators, have been reported to predict prognosis in other tumors. However, we have not seen this research in BLCA. Therefore, we aim to find new blood markers to predict the prognosis of patients with transurethral resection of bladder tumor (TURBT).
Two cohorts from the two different hospitals were used for the specific study. The best cutoff values of leukocytes-related indicators were determined according to the ROC curve. Univariate and multivariate Cox regression analysis were used to explore the impact of indicators and clinical features on prognosis for patients with TURBT. The KM curve was used to show the impact of indicators on the prognosis. According to the consequence of multivariate method, a risk model was established to evaluate the prognosis of patients with bladder cancer.
The white blood cell-to-lymphocyte ratio (WLR), the white blood cell-to-hemoglobin ratio (WHR), the white blood cell-to-neutrophil ratio (WNR), the white blood cell-to-monocyte ratio (WMR) and the white blood cell-to-erythrocyte ratio (WRR) are related to the prognosis of BLCA. The new risk model consisted of WHR, WMR and platelet-to-lymphocyte ratio (PLR), and patients with TURBT in the high-risk group had a worse prognosis.
Leukocyte-related preoperative indicators could predict the prognosis of the patients with TURBT and provided some guidance for clinical workers.
包括膀胱癌（BLCA）在内的众多研究已证实传统全身炎症生物标志物与肿瘤预后之间的关系。白细胞作为炎症指标中最常见的因素，已被报道可预测其他肿瘤的预后。然而，我们尚未在膀胱癌中看到此类研究。因此，我们旨在寻找新的血液标志物以预测膀胱肿瘤经尿道切除术（TURBT）患者的预后。
使用来自两家不同医院的两个队列进行具体研究。根据ROC曲线确定白细胞相关指标的最佳截断值。采用单因素和多因素Cox回归分析来探讨指标和临床特征对TURBT患者预后的影响。KM曲线用于显示指标对预后的影响。根据多因素分析结果，建立风险模型以评估膀胱癌患者的预后。
白细胞与淋巴细胞比值（WLR）、白细胞与血红蛋白比值（WHR）、白细胞与中性粒细胞比值（WNR）、白细胞与单核细胞比值（WMR）以及白细胞与红细胞比值（WRR）均与膀胱癌的预后相关。新的风险模型由WHR、WMR和血小板与淋巴细胞比值（PLR）组成，高危组的TURBT患者预后较差。
白细胞相关的术前指标可预测TURBT患者的预后，并为临床工作者提供一些指导。
