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与炎症生物标志物相关的列线图的开发,用于评估根治性膀胱切除术后膀胱癌的预后。

Development of nomograms related to inflammatory biomarkers to estimate the prognosis of bladder cancer after radical cystectomy.

作者信息

Zhang Wentao, Yang Fuhan, Kadier Aimaitiaji, Chen Yifan, Yu Yang, Zhang Junfeng, Geng Jiang, Yan Yang, Li Wei, Yao Xudong

机构信息

Department of Urology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.

Institute of Urinary Oncology, School of Medicine, Tongji University, Shanghai, China.

出版信息

Ann Transl Med. 2021 Sep;9(18):1440. doi: 10.21037/atm-21-4097.

Abstract

BACKGROUND

Bladder cancer is one of the most common carcinomas and it brings about huge social economic burden. There is not a reliable way to predict the prognosis of bladder patients. We develop the nomogram to predict the prognosis of bladder cancer patients.

METHODS

A total of 127 bladder cancer patients after radical cystectomy were studied retrospectively. Their clinicopathological data were collected for statistical analysis.

RESULTS

The level of albumin/globulin ratio (AGR), C-reactive protein/albumin ratio (CAR), neutrophil to lymphocyte ratio (NLR) and platelet to lymphocyte ratio (PLR) associated with pathological and hematological parameters like T stage and hemoglobin. Furthermore, the AGR was associated with overall survival (OS) and CAR, NLR, and PLR were associated with both OS and progression-free survival (PFS) (P<0.05). The multivariate analysis revealed that tobacco smoking, tumor T stage, M stage, NLR, CAR, and AGR were all independent predictors for OS of patients and tobacco smoking, tumor T stage, NLR, CAR, and AGR were independent predictors for PFS of patients. In addition, AGR, CAR, and NLR, as well as, the clinicopathological parameters in the development of nomograms with a C index of 0.901 (95% CI: 0.505-1.269) for OS, and 0.807 (95% CI: 0.755-0.858) for PFS. The nomograms were able to provide a prognosis of the OS with the area under the curve (AUC) =0.86. Further, tests assessed the PFS with the AUC =0.84.

CONCLUSIONS

This study demonstrates that the nomograms of the inflammatory biomarkers were able to predict prognosis of bladder cancer patients after radical cystectomy.

摘要

背景

膀胱癌是最常见的癌症之一,带来巨大的社会经济负担。目前尚无可靠方法预测膀胱癌患者的预后。我们开发了列线图以预测膀胱癌患者的预后。

方法

回顾性研究了127例行根治性膀胱切除术的膀胱癌患者。收集其临床病理数据进行统计分析。

结果

白蛋白/球蛋白比值(AGR)、C反应蛋白/白蛋白比值(CAR)、中性粒细胞与淋巴细胞比值(NLR)和血小板与淋巴细胞比值(PLR)与T分期和血红蛋白等病理及血液学参数相关。此外,AGR与总生存期(OS)相关,CAR、NLR和PLR与OS及无进展生存期(PFS)均相关(P<0.05)。多因素分析显示,吸烟、肿瘤T分期、M分期、NLR、CAR和AGR均为患者OS的独立预测因素,吸烟、肿瘤T分期、NLR、CAR和AGR为患者PFS的独立预测因素。此外,AGR、CAR和NLR以及临床病理参数用于构建列线图,OS的C指数为0.901(95%CI:0.505 - 1.269),PFS的C指数为0.807(95%CI:0.755 - 0.858)。列线图能够预测OS,曲线下面积(AUC)=0.86。此外,对PFS进行评估的测试中AUC =0.84。

结论

本研究表明,炎症生物标志物列线图能够预测根治性膀胱切除术后膀胱癌患者的预后。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6fb/8506704/4dd6ae32dd5e/atm-09-18-1440-f1.jpg

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