Ku Ja Hyeon, Yuk Hyeong Dong, Godoy Guiherme, Amiel Gilard E, Lerner Seth P
Department of Urology, Seoul National University College of Medicine, Seoul, Korea.
Scott Department of Urology, Baylor College of Medicine, Houston, TX, USA.
Bladder Cancer. 2018 Apr 26;4(2):195-203. doi: 10.3233/BLC-170156.
The aim of this study was to evaluate the clinical significance of histological variants (HV) and to develop a new and simple prediction model incorporating variant forms in patients who underwent radical cystectomy for urothelial carcinoma (UC).
We analyzed the data of 365 patients. We evaluated whether HV were independent predictors of survival. A new scoring model was developed using the regression coefficients from the multivariate Cox proportional hazard model. The patients were divided into three groups on the basis of the score: low-, intermediate- and high-risk. To evaluate the performance of the model, we assessed models in terms of discrimination and calibration.
Patients(median age; 68.5 years) with pure form and squamous differentiation did not differ significantly but statistical analysis of the survival curves of patients with pure form and other variants revealed a statistically significant difference in terms of cancer-specific survival (CSS) ( = 0.005) and overall survival (OS) ( = 0.010). According to the new scoring model HV, the 5-yr CSS rate in each group was 93.3%, 82.9% and 50.5%, respectively. The 5-yr OS rate in each group was 90.0%, 66.3% and 33.2%, respectively. Model discrimination was good for all year models. Calibration was also adequate for the model in all year models.
HV were found to be important independent prognostic factors in urothelial bladder cancer. This paper presents a new prognostic model incorporating variant forms for predicting CSS and OS in these patients.
本研究旨在评估组织学变体(HV)的临床意义,并开发一种新的、简单的预测模型,该模型纳入接受根治性膀胱切除术的尿路上皮癌(UC)患者的变体形式。
我们分析了365例患者的数据。我们评估了HV是否为生存的独立预测因素。使用多变量Cox比例风险模型的回归系数开发了一种新的评分模型。根据评分将患者分为三组:低风险、中风险和高风险。为了评估模型的性能,我们从区分度和校准方面评估了模型。
纯形式和鳞状分化的患者(中位年龄;68.5岁)无显著差异,但对纯形式和其他变体患者的生存曲线进行统计分析显示,在癌症特异性生存(CSS)(=0.005)和总生存(OS)(=0.010)方面存在统计学显著差异。根据新的评分模型HV,每组的5年CSS率分别为93.3%、82.9%和50.5%。每组的5年OS率分别为90.0%、66.3%和33.2%。所有年份模型的模型区分度都很好。所有年份模型的模型校准也足够。
发现HV是尿路上皮膀胱癌重要的独立预后因素。本文提出了一种新的预后模型,该模型纳入变体形式以预测这些患者的CSS和OS。