BACKGROUND: We sought to investigate the associations between pretreatment serum Carcinoembryonic antigen (CEA) level, 18F-Fluoro-2-deoxyglucose (18F-FDG) uptake value of primary tumor and epidermal growth factor receptor (EGFR) mutation status in non-small cell lung cancer (NSCLC). METHODS: We retrospectively reviewed medical records of 210 NSCLC patients who underwent EGFR mutation test and 18F-FDG positron emission tomography/computed tomography (PET/CT) scan before anti-tumor therapy. The associations between EGFR 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. RESULTS: EGFR mutations were found in 70 patients (33.3%). EGFR 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% vs. 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 EGFR mutation-positive. Multivariate analysis revealed that gender, tumor histology, pretreatment serum CEA level, and SUVmax were the most significant predictors for EGFR mutations. The ROC curve revealed that combining these four factors yielded a higher calculated AUC (0.80). CONCLUSIONS: Gender, histology, pretreatment serum CEA level and SUVmax are significant predictors for EGFR mutations in NSCLC. Combining these factors in predicting EGFR mutations has a moderate diagnostic accuracy, and is helpful in guiding anti-tumor treatment.
BACKGROUND: We sought to investigate the associations between pretreatment serum Carcinoembryonic antigen (CEA) level, 18F-Fluoro-2-deoxyglucose (18F-FDG) uptake value of primary tumor and epidermal growth factor receptor (EGFR) mutation status in non-small cell lung cancer (NSCLC). METHODS: We retrospectively reviewed medical records of 210 NSCLC patients who underwent EGFR mutation test and 18F-FDG positron emission tomography/computed tomography (PET/CT) scan before anti-tumor therapy. The associations between EGFR 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. RESULTS: EGFR mutations were found in 70 patients (33.3%). EGFR 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% vs. 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 EGFR mutation-positive. Multivariate analysis revealed that gender, tumor histology, pretreatment serum CEA level, and SUVmax were the most significant predictors for EGFR mutations. The ROC curve revealed that combining these four factors yielded a higher calculated AUC (0.80). CONCLUSIONS: Gender, histology, pretreatment serum CEA level and SUVmax are significant predictors for EGFR mutations in NSCLC. Combining these factors in predicting EGFR mutations has a moderate diagnostic accuracy, and is helpful in guiding anti-tumor treatment.
Authors: Carlos Caicedo; Maria Jose Garcia-Velloso; Maria Dolores Lozano; Tania Labiano; Carmen Vigil Diaz; Jose Maria Lopez-Picazo; Alfonso Gurpide; Javier J Zulueta; Javier Zulueta; Jose Angel Richter Echevarria; Jose Luis Perez Gracia Journal: Eur J Nucl Med Mol Imaging Date: 2014-07-03 Impact factor: 9.236
Authors: Lecia V Sequist; James Chih-Hsin Yang; Nobuyuki Yamamoto; Kenneth O'Byrne; Vera Hirsh; Tony Mok; Sarayut Lucien Geater; Sergey Orlov; Chun-Ming Tsai; Michael Boyer; Wu-Chou Su; Jaafar Bennouna; Terufumi Kato; Vera Gorbunova; Ki Hyeong Lee; Riyaz Shah; Dan Massey; Victoria Zazulina; Mehdi Shahidi; Martin Schuler Journal: J Clin Oncol Date: 2013-07-01 Impact factor: 44.544