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has been cited by the following article:

• TITLE: Analysis of prognostic factors for overall survival in patients with advanced non-small cell lung cancer treated with second line chemotherapy

  AUTHORS: Milan Rancic, Lidija Ristic, Marina Cekic, Tatjana Pejcic

  KEYWORDS: Carcinoma; Non-Small Cell Lung Cancer; Treatment Protocol; Prognosis; Survival

  JOURNAL NAME: Advances in Lung Cancer, Vol.2 No.3, August 1, 2013

  ABSTRACT: Aim: The aim of this study was to investigate prognostic factors for survival in patients with advanced NSCLC who receiving second-line chemotherapy. Methods: We retrospectively reviewed data of 116 patients with NSCLC receiving second-line treatments from October 2010 to December 2012 in Clinic for Lung Diseases of Clinical center Nis, Department for Pulmonary Oncology. Thirteen potential prognostic factors were chosen for analysis. Univariate analysis was conducted to identify prognostic factors associated with progression free survival and overall survival. Multivariate analysis included the prognostic significance factors in univariate analysis. Results: The univariate analysis for progression free survival (PFS) and overall survival (OS) was identified to have prognostic significance: performance status, smoking, weight loss, comorbidity, number of meta localization, first-line chemotherapy regimen and response to first-line chemotherapy. Nevertheless, multivariate Cox prortional hazard regression analysis showed that performance status (PFS: p = 0.000, OS: p = 0.000) weight loss ≥ 5% (PFS: p = 0.000, OS: p = 0.002), comorbidity (PFS: p = 0.001, OS: p = 0.012) and four places of meta localization (PFS: p = 0.021, OS: p = 0.021) were considered independent prognostic factors for both, progression free survival and overall survival. Conclusion: Performance status, weight loss ≥ 5%, comorbidity and higher number of meta localization were identified as prognostic factors for survival in advanced NSCLC patients receiving second-line chemotherapy treatment. These findings may help pretreatment prediction of survival and may facilitate in the future integration new agents into second-line treatment.