Gu Jincui, Xu Siqi, Huang Lixia, Li Shaoli, Wu Jian, Xu Junwen, Feng Jinlun, Liu Baomo, Zhou Yanbin
Department of Respiratory Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China.
J Thorac Dis. 2018 Feb;10(2):723-731. doi: 10.21037/jtd.2017.12.143.
We sought to investigate the associations between pretreatment serum Carcinoembryonic antigen (CEA) level, F-Fluoro-2-deoxyglucose (F-FDG) uptake value of primary tumor and epidermal growth factor receptor () mutation status in non-small cell lung cancer (NSCLC).
We retrospectively reviewed medical records of 210 NSCLC patients who underwent mutation test and F-FDG positron emission tomography/computed tomography (PET/CT) scan before anti-tumor therapy. The associations between mutations and patients' characteristics, serum CEA, PET/CT imaging characteristics maximal standard uptake value (SUVmax) of the primary tumor were analyzed. Receiver-operating characteristic (ROC) curve was used to assess the predictive value of these factors.
mutations were found in 70 patients (33.3%). mutations were more common in high CEA group (CEA ≥7.0 ng/mL) than in low CEA group (CEA <7.0 ng/mL) (40.4% . 27.6%; P=0.05). Females (P<0.001), non-smokers (P<0.001), patients with adenocarcinoma (P<0.001) and SUVmax <9.0 (P=0.001) were more likely to be mutation-positive. Multivariate analysis revealed that gender, tumor histology, pretreatment serum CEA level, and SUVmax were the most significant predictors for mutations. The ROC curve revealed that combining these four factors yielded a higher calculated AUC (0.80).
Gender, histology, pretreatment serum CEA level and SUVmax are significant predictors for mutations in NSCLC. Combining these factors in predicting mutations has a moderate diagnostic accuracy, and is helpful in guiding anti-tumor treatment.
我们旨在研究非小细胞肺癌(NSCLC)患者治疗前血清癌胚抗原(CEA)水平、原发肿瘤的F-氟代脱氧葡萄糖(F-FDG)摄取值与表皮生长因子受体()突变状态之间的关联。
我们回顾性分析了210例接受抗肿瘤治疗前进行突变检测和F-FDG正电子发射断层扫描/计算机断层扫描(PET/CT)的NSCLC患者的病历。分析了突变与患者特征、血清CEA、PET/CT影像特征(原发肿瘤的最大标准摄取值(SUVmax))之间的关联。采用受试者操作特征(ROC)曲线评估这些因素的预测价值。
70例患者(33.3%)检测到突变。高CEA组(CEA≥7.0 ng/mL)的突变发生率高于低CEA组(CEA<7.0 ng/mL)(40.4%对27.6%;P=0.05)。女性(P<0.001)、非吸烟者(P<0.001)、腺癌患者(P<0.001)以及SUVmax<9.0的患者(P=0.001)更有可能为突变阳性。多因素分析显示,性别、肿瘤组织学类型、治疗前血清CEA水平和SUVmax是突变的最重要预测因素。ROC曲线显示,联合这四个因素计算出的AUC更高(0.80)。
性别、组织学类型、治疗前血清CEA水平和SUVmax是NSCLC患者突变的重要预测因素。联合这些因素预测突变具有中等诊断准确性,有助于指导抗肿瘤治疗。