PURPOSE: Current knowledge of the prognostic biomarkers of advanced non-small cell lung cancer (NSCLC) treated with gefitinib is poor. NSE mRNA as a potential prognostic biomarker of the effectiveness of gefitinib treatment in NSCLC, especially in the Chinese population, needs to be further validated. PATIENTS AND METHODS: We retrospectively reviewed 168 advanced NSCLC patients treated with gefitinib between May 2006 and July 2010. NSE mRNA was measured using quantitative RT-PCR analysis for correlation with the clinical outcomes. RESULTS: We found that NSE mRNA expression was inversely correlated with sensitivity to gefitinib in NSCLC patients. Patients without elevated NSE mRNA had a more RR (CR + RR) 45.1 % than elevated 18.9 % (P = 0.0005). Moreover, the time to progression was 6.0 versus 4.2 months, respectively. Log-rank test was marginally significant (χ(2) = 12.11, P = 0.0007) and Cox multivariate analysis revealed that NSE mRNA (HR = 3.076; 95 % CI 1.943-4.870; P < 0.0001) was an independent prognostic factor of NSCLC patients in the Chinese population. CONCLUSION: For NSCLC patients treated with gefitinib, patients without elevated NSE mRNA had a better prognosis than those with elevated NSE mRNA. Pretreatment NSE mRNA holds great potential as a prognostic biomarker in advanced NSCLC. Therefore, it is proposed that NSE mRNA should be routinely detected to screen patients who are more likely to benefit from gefitinib-based treatment.
PURPOSE: Current knowledge of the prognostic biomarkers of advanced non-small cell lung cancer (NSCLC) treated with gefitinib is poor. NSE mRNA as a potential prognostic biomarker of the effectiveness of gefitinib treatment in NSCLC, especially in the Chinese population, needs to be further validated. PATIENTS AND METHODS: We retrospectively reviewed 168 advanced NSCLCpatients treated with gefitinib between May 2006 and July 2010. NSE mRNA was measured using quantitative RT-PCR analysis for correlation with the clinical outcomes. RESULTS: We found that NSE mRNA expression was inversely correlated with sensitivity to gefitinib in NSCLCpatients. Patients without elevated NSE mRNA had a more RR (CR + RR) 45.1 % than elevated 18.9 % (P = 0.0005). Moreover, the time to progression was 6.0 versus 4.2 months, respectively. Log-rank test was marginally significant (χ(2) = 12.11, P = 0.0007) and Cox multivariate analysis revealed that NSE mRNA (HR = 3.076; 95 % CI 1.943-4.870; P < 0.0001) was an independent prognostic factor of NSCLCpatients in the Chinese population. CONCLUSION: For NSCLCpatients treated with gefitinib, patients without elevated NSE mRNA had a better prognosis than those with elevated NSE mRNA. Pretreatment NSE mRNA holds great potential as a prognostic biomarker in advanced NSCLC. Therefore, it is proposed that NSE mRNA should be routinely detected to screen patients who are more likely to benefit from gefitinib-based treatment.
Authors: Tyler H Heibeck; Shi-Jian Ding; Lee K Opresko; Rui Zhao; Athena A Schepmoes; Feng Yang; Aleksey V Tolmachev; Matthew E Monroe; David G Camp; Richard D Smith; H Steven Wiley; Wei-Jun Qian Journal: J Proteome Res Date: 2009-08 Impact factor: 4.466
Authors: Klarisa Rikova; Ailan Guo; Qingfu Zeng; Anthony Possemato; Jian Yu; Herbert Haack; Julie Nardone; Kimberly Lee; Cynthia Reeves; Yu Li; Yerong Hu; Zhiping Tan; Matthew Stokes; Laura Sullivan; Jeffrey Mitchell; Randy Wetzel; Joan Macneill; Jian Min Ren; Jin Yuan; Corey E Bakalarski; Judit Villen; Jon M Kornhauser; Bradley Smith; Daiqiang Li; Xinmin Zhou; Steven P Gygi; Ting-Lei Gu; Roberto D Polakiewicz; John Rush; Michael J Comb Journal: Cell Date: 2007-12-14 Impact factor: 41.582