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整合模型纳入转移性区域颈淋巴结体积和治疗前血清爱泼斯坦-巴尔病毒DNA拷贝数在预测N1期鼻咽癌患者远处转移中的预后价值

Prognostic values of the integrated model incorporating the volume of metastatic regional cervical lymph node and pretreatment serum Epstein-Barr virus DNA copy number in predicting distant metastasis in patients with N1 nasopharyngeal carcinoma.

作者信息

Yao Ji-Jin, Zhou Guan-Qun, Wang Ya-Qin, Wang Si-Yang, Zhang Wang-Jian, Jin Ya-Nan, Zhang Fan, Li Li, Liu Li-Zhi, Cheng Zhi-Bin, Ma Jun, Qi Zhen-Yu, Sun Ying

机构信息

Department of Radiation Oncology, 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 Radiation Oncology, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, Guangdong, 519001, P. R. China.

出版信息

Chin J Cancer. 2017 Dec 29;36(1):98. doi: 10.1186/s40880-017-0264-x.

Abstract

BACKGROUND

According to the 7th edition of the American Joint Committee on Cancer (AJCC) staging system, over 50% of patients with nasopharyngeal carcinoma (NPC) have N1 disease at initial diagnosis. However, patients with N1 NPC are relatively under-researched, and the metastasis risk of this group is not well-stratified. This study aimed to evaluate the prognostic values of gross tumor volume of metastatic regional lymph node (GTVnd) and pretreatment serum copy number of Epstein-Barr virus (EBV) DNA in predicting distant metastasis of patients with N1 NPC, and to develop an integrated prognostic model that incorporates GTVnd and EBV DNA copy number for this group of patients.

METHODS

The medical records of 787 newly diagnosed patients with nonmetastatic, histologically proven N1 NPC who were treated at Sun Yat-sen University Cancer Center between November 2009 and February 2012 were analyzed. Computed tomography-derived GTVnd was measured using the summation-of-area technique. Blood samples were collected before treatment to quantify plasma EBV DNA. The receiver operating characteristic (ROC) curve analysis was used to evaluate the cut-off point for GTVnd, and the area under the ROC curve was used to assess the predicted validity of GTVnd. The survival rates were assessed by Kaplan-Meier analysis, and the survival curves were compared using a log-rank test. Multivariate analysis was conducted using the Cox proportional hazard regression model.

RESULTS

The 5-year distant metastasis-free survival (DMFS) rates for patients with GTVnd > 18.9 vs. ≤ 18.9 mL were 82.2% vs. 93.2% (P < 0.001), and for patients with EBV DNA copy number > 4000 vs. ≤ 4000 copies/mL were 83.5% vs. 93.9% (P < 0.001). After adjusting for GTVnd, EBV DNA copy number, and T category in the Cox regression model, both GTVnd > 18.9 mL and EBV DNA copy number > 4000 copies/mL were significantly associated with poor prognosis (both P < 0.05). According to combination of GTVnd and EBV DNA copy number, all patients were divided into low-, moderate-, and high-risk groups, with the 5-year DMFS rates of 96.1, 87.4, and 73.8%, respectively (P < 0.001). Multivariate analysis confirmed the prognostic value of this model for distant metastatic risk stratification (hazard ratio [HR], 4.17; 95% confidence interval [CI] 2.34-7.59; P < 0.001).

CONCLUSIONS

GTVnd and serum EBV DNA copy number are independent prognostic factors for predicting distant metastasis in NPC patients with N1 disease. The prognostic model incorporating GTVnd and EBV DNA copy number may improve metastatic risk stratification for this group of patients.

摘要

背景

根据美国癌症联合委员会(AJCC)第7版分期系统,超过50%的鼻咽癌(NPC)患者在初诊时为N1期疾病。然而,N1期NPC患者的研究相对较少,且该组患者的转移风险未得到很好的分层。本研究旨在评估转移性区域淋巴结总体积(GTVnd)和治疗前血清中爱泼斯坦-巴尔病毒(EBV)DNA拷贝数在预测N1期NPC患者远处转移方面的预后价值,并为该组患者建立一个整合GTVnd和EBV DNA拷贝数的综合预后模型。

方法

分析了2009年11月至2012年2月在中山大学肿瘤防治中心接受治疗的787例新诊断的非转移性、组织学确诊为N1期NPC患者的病历。使用面积求和技术测量计算机断层扫描得出的GTVnd。在治疗前采集血样以定量血浆EBV DNA。采用受试者工作特征(ROC)曲线分析评估GTVnd的截断点,并使用ROC曲线下面积评估GTVnd的预测有效性。采用Kaplan-Meier分析评估生存率,并使用对数秩检验比较生存曲线。使用Cox比例风险回归模型进行多因素分析。

结果

GTVnd>18.9 vs.≤18.9 mL的患者5年无远处转移生存率(DMFS)分别为82.2% vs. 93.2%(P<0.001),EBV DNA拷贝数>4000 vs.≤4000拷贝/mL的患者5年DMFS分别为83.5% vs. 93.9%(P<0.001)。在Cox回归模型中对GTVnd、EBV DNA拷贝数和T分期进行校正后,GTVnd>18.9 mL和EBV DNA拷贝数>4000拷贝/mL均与预后不良显著相关(均P<0.05)。根据GTVnd和EBV DNA拷贝数的组合,将所有患者分为低、中、高风险组,5年DMFS率分别为96.1%、87.4%和73.8%(P<0.001)。多因素分析证实了该模型对远处转移风险分层的预后价值(风险比[HR],4.17;95%置信区间[CI] 2.34 - 7.59;P<0.001)。

结论

GTVnd和血清EBV DNA拷贝数是预测N1期NPC患者远处转移的独立预后因素。整合GTVnd和EBV DNA拷贝数的预后模型可能会改善该组患者的转移风险分层。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e392/5747160/aad830ce8102/40880_2017_264_Fig1_HTML.jpg

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