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Oncol Res Treat ; 38(10): 496-502, 2015.
Article in English | MEDLINE | ID: mdl-26451776

ABSTRACT

BACKGROUND: We firstly investigated the expression of Pokemon in patients with non-small cell lung cancer (NSCLC), then characterized the role of Pokemon in evaluating the response to combined cisplatin and paclitaxel chemotherapy and prognosis. PATIENTS AND METHODS: In this study, 61 patients with previously untreated locally advanced or metastatic NSCLC were treated with a combination chemotherapy comprising cisplatin and paclitaxel. The correlation between serum expression of Pokemon and effectiveness of chemotherapy was assessed. RESULTS: The expression level of Pokemon in NSCLC patients was higher than that in healthy controls (p = 0.000), and was correlated with tumor size and TNM stage (p < 0.05). Kaplan-Meier analysis and Cox proportional hazard model demonstrated a poor response and shorter survival time in patients with pretreatment Pokemon levels in excess of 135.09 ng/ml compared to those with Pokemon levels below 135.09 ng/ml (p = 0.013). Pokemon ≥ 135.09 ng/ml was an independent risk factor for survival time in NSCLC patients undergoing combination chemotherapy (p = 0.018). CONCLUSION: The serum level of Pokemon correlated with efficacy of cisplatin and paclitaxel combination chemotherapy and survival time, which indicated that Pokemon may be a potentially useful biomarker for predicting treatment effectiveness of first-line chemotherapy and prognosis in NSCLC.


Subject(s)
Antineoplastic Combined Chemotherapy Protocols/administration & dosage , Carcinoma, Non-Small-Cell Lung/blood , Carcinoma, Non-Small-Cell Lung/drug therapy , DNA-Binding Proteins/blood , Lung Neoplasms/blood , Lung Neoplasms/drug therapy , Transcription Factors/blood , Aged , Aged, 80 and over , Biomarkers, Tumor/blood , Carcinoma, Non-Small-Cell Lung/mortality , China/epidemiology , Cisplatin/administration & dosage , Female , Humans , Incidence , Lung Neoplasms/mortality , Male , Middle Aged , Paclitaxel/administration & dosage , Pneumonectomy/statistics & numerical data , Prognosis , Reproducibility of Results , Risk Factors , Sensitivity and Specificity , Survival Rate , Treatment Outcome
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