预测肾细胞癌合并静脉瘤栓患者总生存和癌症特异性生存的列线图：一项基于人群的研究

Nomograms for Predicting Overall Survival and Cancer-Specific Survival of Patients With Renal Cell Carcinoma and Venous Tumor Thrombus: A Population-Based Study.

作者信息

Yang Lin, Fu Bin

机构信息

Department of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, China.

出版信息

Front Surg. 2022 Jun 8;9:929885. doi: 10.3389/fsurg.2022.929885. eCollection 2022.

BACKGROUND

To provide better prognostic information for patients with renal cell carcinoma (RCC) combined with venous tumor thrombus (VTT). In turn, guide patients' families and doctors to formulate plans for follow-up treatment and follow-up. We developed nomograms to predict cancer-specific survival (CSS) and overall survival (OS).

METHODS

A total of 2961 cases were included in this study. Through univariate and multivariate Cox proportional hazard regression analysis, independent risk factors affecting CSS and OS were screened out, and then a nomogram was drawn based on the screened variables.

RESULTS

Independent risk factors affecting CSS include: tumor size (HR = 1.05), histology (HR = 1.75), grade (HR = 1.94), N staging (HR = 2.06), and M staging (HR = 2.87). The median survival time for CSS was 106 months. Independent risk factors for OS include age (HR = 1.60), tumor size (HR = 1.04), histology (HR = 1.60), grade (HR = 1.68), N staging (HR-1.99), M staging (HR = 2.45). The median survival time for OS is 67 months.

CONCLUSIONS

The nomogram based on independent risk factors affecting CSS and OS can well predict the prognosis of renal cell carcinoma with venous tumor thrombus.

背景

为肾细胞癌（RCC）合并静脉瘤栓（VTT）患者提供更好的预后信息。进而指导患者家属和医生制定后续治疗及随访计划。我们开发了列线图来预测癌症特异性生存（CSS）和总生存（OS）。

方法

本研究共纳入2961例病例。通过单因素和多因素Cox比例风险回归分析，筛选出影响CSS和OS的独立危险因素，然后基于筛选出的变量绘制列线图。

结果

影响CSS的独立危险因素包括：肿瘤大小（HR = 1.05）、组织学类型（HR = 1.75）、分级（HR = 1.94）、N分期（HR = 2.06）和M分期（HR = 2.87）。CSS的中位生存时间为106个月。影响OS的独立危险因素包括年龄（HR = 1.60）、肿瘤大小（HR = 1.04）、组织学类型（HR = 1.60）、分级（HR = 1.68）、N分期（HR = 1.99）、M分期（HR = 2.45）。OS的中位生存时间为67个月。