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(18)F-FDG PET的异质性联合表皮生长因子受体(EGFR)的表达可能改善晚期口咽癌的预后分层。

Heterogeneity of (18)F-FDG PET combined with expression of EGFR may improve the prognostic stratification of advanced oropharyngeal carcinoma.

作者信息

Wang Hung-Ming, Cheng Nai-Ming, Lee Li-Yu, Fang Yu-Hua Dean, Chang Joseph Tung-Chieh, Tsan Din-Li, Ng Shu-Hang, Liao Chun-Ta, Yang Lan-Yan, Yen Tzu-Chen

机构信息

Division of Hematology/Oncology, Department of Internal Medicine, Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Taoyuan City, 33305, Taiwan.

Department of Nuclear Medicine, Chang Gung Memorial Hospital and Chang Gung University, Taoyuan City, 33305, Taiwan.

出版信息

Int J Cancer. 2016 Feb 1;138(3):731-8. doi: 10.1002/ijc.29811. Epub 2015 Sep 1.

DOI:10.1002/ijc.29811
PMID:26311121
Abstract

The Ang's risk profile (based on p16, smoking and cancer stage) is a well-known prognostic factor in oropharyngeal squamous cell carcinoma (OPSCC). Whether heterogeneity in (18)F-fluorodeoxyglucose (FDG) positron emission tomographic (PET) images and epidermal growth factor receptor (EGFR) expression could provide additional information on clinical outcomes in advanced-stage OPSCC was investigated. Patients with stage III-IV OPSCC who completed primary therapy were eligible. Zone-size nonuniformity (ZSNU) extracted from pretreatment FDG PET scans was used as an index of image heterogeneity. EGFR and p16 expression were examined by immunohistochemistry. Disease-specific survival (DSS) and overall survival (OS) served as outcome measures. Kaplan-Meier estimates and Cox proportional hazards regression models were used for survival analysis. A bootstrap resampling technique was applied to investigate the stability of outcomes. Finally, a recursive partitioning analysis (RPA)-based model was constructed. A total of 113 patients were included, of which 28 were p16-positive. Multivariate analysis identified the Ang's profile, EGFR and ZSNU as independent predictors of both DSS and OS. Using RPA, the three risk factors were used to devise a prognostic scoring system that successfully predicted DSS in both p16-positive and -negative cases. The c-statistic of the prognostic index for DSS was 0.81, a value which was significantly superior to both AJCC stage (0.60) and the Ang's risk profile (0.68). In patients showing an Ang's high-risk profile (N = 77), the use of our scoring system clearly identified three distinct prognostic subgroups. It was concluded that a novel index may improve the prognostic stratification of patients with advanced-stage OPSCC.

摘要

安氏风险特征(基于p16、吸烟情况和癌症分期)是口咽鳞状细胞癌(OPSCC)中一个众所周知的预后因素。本研究调查了(18)F-氟脱氧葡萄糖(FDG)正电子发射断层扫描(PET)图像中的异质性和表皮生长因子受体(EGFR)表达是否能为晚期OPSCC的临床结局提供更多信息。完成初始治疗的III-IV期OPSCC患者符合入选标准。从治疗前FDG PET扫描中提取的区域大小不均匀性(ZSNU)用作图像异质性指标。通过免疫组织化学检测EGFR和p16表达。疾病特异性生存(DSS)和总生存(OS)作为结局指标。采用Kaplan-Meier估计法和Cox比例风险回归模型进行生存分析。应用自助重抽样技术研究结局的稳定性。最后,构建了基于递归划分分析(RPA)的模型。共纳入113例患者,其中28例为p16阳性。多因素分析确定安氏风险特征、EGFR和ZSNU是DSS和OS的独立预测因素。使用RPA,这三个风险因素被用于设计一个预后评分系统,该系统成功地预测了p16阳性和阴性病例的DSS。DSS预后指数的c统计量为0.81,该值显著优于美国癌症联合委员会(AJCC)分期(0.60)和安氏风险特征(0.68)。在安氏高风险特征的患者(N = 77)中,使用我们的评分系统明确识别出三个不同的预后亚组。研究得出结论,一种新的指标可能会改善晚期OPSCC患者的预后分层。

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