Koung Jin Suh1, Bhumsuk Keam2, Miso Kim1, Young Sik Park1, Tae Min Kim3, Yoon Kyung Jeon4, Dong-Wan Kim3, Doo Hyun Chung4, Young Whan Kim1, Dae Seog Heo3. 1. Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea. 2. Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea; Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea. Electronic address: bhumsuk@snu.ac.kr. 3. Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea; Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea. 4. Department of Pathology, Seoul National University Hospital, Seoul, Korea.
Abstract
OBJECTIVES: Our study aimed to determine the predictive and prognostic values of the serum neuron-specific enolase (NSE) level in patients who had non-small cell lung cancer (NSCLC) harboring epidermal growth factor receptor (EGFR) mutations and who had been treated with EGFR-tyrosine kinase inhibitors (TKIs). MATERIALS AND METHODS: We retrospectively analyzed 151 patients who had NSCLC harboring EGFR mutations and had received either gefitinib or erlotinib as first-line treatment between 2005 and 2014. The serum NSE level was measured before initiation of EGFR-TKI treatment. RESULTS: Of the 151 patients, 92 (60.9%) had elevated NSE levels (> 16.3 ng/mL). Patients with elevated NSE levels showed significantly shorter progression-free survival (PFS) after EGFR-TKI treatment than those with normal NSE levels (median PFS, 10.5 months vs. 15.4 months; P = .034). Multivariate analysis demonstrated that elevated NSE levels (hazard ratio [HR], 1.656; P = .017), CNS metastasis at diagnosis (HR, 1.567; P = .037), and male gender (HR, 1.840; P = .005) were independent predictive factors for short PFS. A significant difference in overall survival (OS) was observed between patient groups with elevated and normal NSE levels (median OS, 17.0 months vs. 29.1 months; P < .001), and serum NSE level remained an independent prognostic factor for OS in multivariate analysis (HR, 2.671; P < .001). CONCLUSION: Patients with elevated serum NSE levels have significantly shorter PFS and OS. The NSE level is both a predictive marker of EGFR-TKI treatment and a prognostic marker in EGFR-mutant NSCLC patients.
OBJECTIVES: Our study aimed to determine the predictive and prognostic values of the serum neuron-specific enolase (NSE) level in patients who had non-small cell lung cancer (NSCLC) harboring epidermal growth factor receptor (EGFR) mutations and who had been treated with EGFR-tyrosine kinase inhibitors (TKIs). MATERIALS AND METHODS: We retrospectively analyzed 151 patients who had NSCLC harboring EGFR mutations and had received either gefitinib or erlotinib as first-line treatment between 2005 and 2014. The serum NSE level was measured before initiation of EGFR-TKI treatment. RESULTS: Of the 151 patients, 92 (60.9%) had elevated NSE levels (> 16.3 ng/mL). Patients with elevated NSE levels showed significantly shorter progression-free survival (PFS) after EGFR-TKI treatment than those with normal NSE levels (median PFS, 10.5 months vs. 15.4 months; P = .034). Multivariate analysis demonstrated that elevated NSE levels (hazard ratio [HR], 1.656; P = .017), CNS metastasis at diagnosis (HR, 1.567; P = .037), and male gender (HR, 1.840; P = .005) were independent predictive factors for short PFS. A significant difference in overall survival (OS) was observed between patient groups with elevated and normal NSE levels (median OS, 17.0 months vs. 29.1 months; P < .001), and serum NSE level remained an independent prognostic factor for OS in multivariate analysis (HR, 2.671; P < .001). CONCLUSION:Patients with elevated serum NSE levels have significantly shorter PFS and OS. The NSE level is both a predictive marker of EGFR-TKI treatment and a prognostic marker in EGFR-mutant NSCLCpatients.
Authors: Sofi Isaksson; Per Jönsson; Nastaran Monsef; Hans Brunnström; Pär-Ola Bendahl; Mats Jönsson; Johan Staaf; Maria Planck Journal: PLoS One Date: 2017-10-19 Impact factor: 3.240