Liang Wenhua, Shen Guanzhu, Zhang Yaxiong, Chen Gang, Wu Xuan, Li Yang, Li Anchuan, Kang Shiyang, Yuan Xi, Hou Xue, Huang Peiyu, Huang Yan, Zhao Hongyun, Tian Ying, Zhao Chong, Zhang Li
State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China.
Department of Medical Oncology, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, Guangdong, 510060, P. R. China.
Chin J Cancer. 2016 Nov 25;35(1):98. doi: 10.1186/s40880-016-0160-9.
The TNM staging system is far from perfect in predicting the survival of individual cancer patients because only the gross anatomy is considered. The survival rates of the patients who have the same TNM stage disease vary across a wide spectrum. This study aimed to develop a nomogram that incorporates other clinicopathologic factors for predicting the overall survival (OS) of non-metastatic nasopharyngeal carcinoma (NPC) patients after curative treatments.
We retrospectively collected the clinical data of 1520 NPC patients who were diagnosed histologically between November 2000 and September 2003. The clinical data of a separate cohort of 464 patients who received intensity-modulated radiation therapy (IMRT) between 2001 and 2010 were also retrieved to examine the extensibility of the model. Cox regression analysis was used to identify the prognostic factors for building the nomogram. The predictive accuracy and discriminative ability were measured using the concordance index (c-index).
We identified and incorporated 12 independent clinical factors into the nomogram. The calibration curves showed that the prediction of OS was in good agreement with the actual observation in the internal validation set and IMRT cohort. The c-index of the nomogram was statistically higher than that of the 7th edition TNM staging system for predicting the survival in both the primary cohort (0.69 vs. 0.62) and the IMRT cohort (0.67 vs. 0.63).
We developed and validated a novel nomogram that outperformed the TNM staging system in predicting the OS of non-metastatic NPC patients who underwent curative therapy.
TNM分期系统在预测个体癌症患者的生存情况方面远非完美,因为其仅考虑大体解剖结构。患有相同TNM分期疾病的患者生存率差异很大。本研究旨在开发一种纳入其他临床病理因素的列线图,以预测根治性治疗后非转移性鼻咽癌(NPC)患者的总生存期(OS)。
我们回顾性收集了2000年11月至2003年9月间经组织学诊断的1520例NPC患者的临床数据。还检索了2001年至2010年间接受调强放射治疗(IMRT)的464例患者的独立队列临床数据,以检验模型的可扩展性。采用Cox回归分析确定构建列线图的预后因素。使用一致性指数(c指数)测量预测准确性和判别能力。
我们在列线图中纳入了12个独立的临床因素。校准曲线显示,在内部验证集和IMRT队列中,OS的预测与实际观察结果高度一致。在预测原发性队列(0.69对0.62)和IMRT队列(0.67对0.63)的生存情况时,列线图的c指数在统计学上高于第7版TNM分期系统。
我们开发并验证了一种新型列线图,在预测接受根治性治疗的非转移性NPC患者的OS方面优于TNM分期系统。