Department of Surgical Oncology - Rajiv Gandhi Cancer Institute & Research Centre, Delhi, India.
Department of Medical Oncology - Rajiv Gandhi Cancer Institute & Research Centre, Delhi, India.
Oral Oncol. 2019 Mar;90:1-5. doi: 10.1016/j.oraloncology.2019.01.001. Epub 2019 Jan 23.
Lymph node involvement and the number of positive nodes is a significant prognosticator in oral cavity cancers and current staging system does not incorporate it as an integral part.
This was a retrospective study of oral cavity cancer patients who were operated during the time period of 2009-2017. The data was collected and analysed to assess the impact of increase in the number of positive nodes on survival and its comparison of survival statistics to current AJCC staging.
A total of 1431 patients were included in this study and 32.5% of these patients had a node positive disease. Nodal positivity was a significant prognosticator on multivariate analysis. Number of positive nodes was modelled with restricted cubic spline function and it showed progressive worsening of survival functions with increase in number. On Kaplan Meier analysis there was a better separation of curves when number of positive nodes was used and Akaike information criterion (AIC) showed that it was a better prognosticator than existing AJCC staging.
Number of positive nodes is a significant prognosticator of prognosis and hence should be considered in the AJCC staging system.
淋巴结受累和阳性淋巴结数量是口腔癌的重要预后因素,而当前的分期系统并未将其作为一个整体纳入其中。
这是一项回顾性研究,纳入了 2009 年至 2017 年期间接受手术治疗的口腔癌患者。收集并分析数据,以评估阳性淋巴结数量的增加对生存的影响,并将其与当前 AJCC 分期的生存统计数据进行比较。
本研究共纳入 1431 例患者,其中 32.5%的患者存在淋巴结阳性疾病。淋巴结阳性在多变量分析中是一个重要的预后因素。阳性淋巴结数量采用限制立方样条函数进行建模,结果显示随着数量的增加,生存函数逐渐恶化。在 Kaplan-Meier 分析中,使用阳性淋巴结数量可以更好地区分曲线,Akaike 信息准则(AIC)表明其比现有的 AJCC 分期更能预测预后。
阳性淋巴结数量是预后的重要预后因素,因此应考虑纳入 AJCC 分期系统。