林灿峰, 李德锐, 陈志坚, 李东升. 无远处转移Ⅳ期鼻咽癌预后预测模型的建立与分析[J]. 中国肿瘤临床, 2011, 38(23): 1443-1446. DOI: 10.3969/j.issn.1000-8179.2011.23.007
引用本文: 林灿峰, 李德锐, 陈志坚, 李东升. 无远处转移Ⅳ期鼻咽癌预后预测模型的建立与分析[J]. 中国肿瘤临床, 2011, 38(23): 1443-1446. DOI: 10.3969/j.issn.1000-8179.2011.23.007
Canfeng LIN, Derui LI, Zhijian CHEN, Dongsheng LI. A Prognostic Index for Patients with Stage Ⅳa-b Nasopharyngeal Carcinoma after Radiotherapy[J]. CHINESE JOURNAL OF CLINICAL ONCOLOGY, 2011, 38(23): 1443-1446. DOI: 10.3969/j.issn.1000-8179.2011.23.007
Citation: Canfeng LIN, Derui LI, Zhijian CHEN, Dongsheng LI. A Prognostic Index for Patients with Stage Ⅳa-b Nasopharyngeal Carcinoma after Radiotherapy[J]. CHINESE JOURNAL OF CLINICAL ONCOLOGY, 2011, 38(23): 1443-1446. DOI: 10.3969/j.issn.1000-8179.2011.23.007

无远处转移Ⅳ期鼻咽癌预后预测模型的建立与分析

A Prognostic Index for Patients with Stage Ⅳa-b Nasopharyngeal Carcinoma after Radiotherapy

  • 摘要: 建立基于接受首程放射治疗的Ⅳa~b期鼻咽癌患者一般参数及临床病理参数的预后预测模型,并评价其效用。方法:2000年1月至2004年12月间,收治AJCC分期的Ⅳa~b期鼻咽癌患者535例进行首程放射治疗。单因素分析及Cox比例风险模型多因素预后分析后,参照Nottingham指数原理建立预后指数模型。535例患者中的401例为建模样本,基于患者参数建立预后预测模型,其余的134例患者为检验样本予以验证。通过验证后,最终建立基于总样本的预后预测模型。结果:Ⅳa~b期鼻咽癌患者的1、3和5年总生存率分别为90.0%、64.4%和51.9%。多因素分析结果表明影响总生存率的预后因素包括性别(G)、年龄(A)、KPS评分(K)、N分期(N)、血红蛋白(H)、乳酸脱氢酶(L);基于这些参数的预后预测模型为S=0.397G+0.022A-0.024K+0.203N-0.014H+0.002L。高危、低危预测指数分别为-1.00和-1.87,根据该模型判别出的低危、中危和高危组的5年生存率分别为77.7%、53.9%和24.9%,差异有统计学意义(P<0.001)。结论:基于Ⅳa~b期首程放射治疗鼻咽癌患者一般参数及临床病理参数的预后预测模型,在预测Ⅳa~b期鼻咽癌患者放射治疗的预后、指导个体化治疗方面可能有一定的价值。

     

    Abstract:  Abstract Objective: To develop and validate a prognostic model to predict overall survival of patients with Stage IVa-b nasopharyngeal carcinoma ( NPC ) after radiotherapy. Methods: A prognostic prediction model, based on the Nottingham index model, was established to determine the clinical and therapeutic parameters of 535 patients with Stage IVa-b NPC who underwent radiotherapy or chemoradiotherapy in the Cancer Hospital affiliated to Shantou University Medical School from January 2000 to December 2004. The therapeutic efficacy and feasibility of the prognostic prediction model were evaluated. Results: The 1-, 3-, and 5-year overall survival rates of the NPC patients were 90%, 64.4%, and 51.9%, respectively. Univariate and multivariate analyses showed that gender ( G ), age ( A ), Kanorfsky performance status ( K ), N stage ( N ), hemoglobin ( H ), and serum lactate dehydrogenase level ( L ) were independent factors affecting the survival of NPC patients  after radiotherapy. The prognostic prediction model based on these parameters was S=0.397G+0.022A-0.024K+0.203N -0.014H +0.002L. The high and low risks of prognostic index ( PI ) were -1.00 and -1.87, respectively. The 5-year overall survival rate of the patients was 77.7%, 53.9%, and 24.9% for the low-, medium-, and high-risk groups, respectively, stratified by the prognostic prediction model. The differences among these groups were statistically significant ( χ2 = 58.779, P < 0.001 ). Conclusion: A model based on the characteristics of patients has been established. The proposed model provides a high degree of discrimination in predicting the survival of patients with Stage IVa-b NPC  after radiotherapy. This model may be advantageous in selecting the type of treatment for individual patients.

     

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