Predictive value of K-ras and PIK3CA in non-small cell lung cancer patients treated with EGFR-TKIs:

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Objective: A meta-analysis was performed to augment the insufficient data on the impact of mutative EGFR downstream phosphatidylinositol-3-kinase(PI3K) and mitogen-activated protein kinase(MAPK) pathways on the clinical efficiency of epidermal growth factor receptor tyrosine kinase inhibitor(EGFR-TKI) treatment of non-small cell lung cancer(NSCLC) patients.Methods: Network databases were explored in April, 2015. Papers that investigated the clinical outcomes of NSCLC patients treated with EGFR-TKIs according to the status of K-ras and/or PIK3 CA gene mutation were included. A quantitative meta-analysis was conducted using standard statistical methods. Odds ratios(ORs) for objective response rate(ORR) and hazard ratios(HRs) for progression-free survival(PFS) and overall survival(OS) were calculated.Results: Mutation in K-ras significantly predicted poor ORR [OR =0.22; 95% confidence interval(CI), 0.13-0.35], shorter PFS(HR =1.56; 95% CI, 1.27-1.92), and shorter OS(HR =1.59; 95% CI, 1.33-1.91) in NSCLC patients treated with EGFR-TKIs. Mutant PIK3 CA significantly predicted shorter OS(HR =1.83; 95% CI, 1.05-3.20), showed poor ORR(OR =0.70; 95% CI, 0.22-2.18), and shorter PFS(HR =1.79; 95% CI, 0.91-3.53) in NSCLC patients treated with EGFR-TKIs.Conclusion: K-ras mutation adversely affected the clinical response and survival of NSCLC patients treated with EGFRTKIs. PIK3 CA mutation showed similar trends. In addition to EGFR, adding K-ras and PIK3 CA as routine gene biomarkers in clinical genetic analysis is valuable to optimize the effectiveness of EGFR-TKI regimens and identify optimal patients who will benefit from EGFR-TKI treatment. Objective: A meta-analysis was performed to augment the insufficient data on the impact of mutative EGFR downstream phosphatidylinositol-3-kinase (PI3K) and mitogen-activated protein kinase (MAPK) pathways on the clinical efficiency of epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKI) treatment of non-small cell lung cancer (NSCLC) patients. Methods: Network databases were explored in April, 2015. Papers that investigated the clinical outcomes of NSCLC patients treated with EGFR-TKIs according to the status of K- A quantitative meta-analysis was conducted using standard statistical methods. Odds ratios (ORs) for objective response rate (ORR) and hazard ratios (HRs) for progression-free survival (PFS) and Overall survival (OS) were calculated. Results: Mutation in K-rasked highly predicted poor ORR [OR = 0.22; 95% confidence interval (CI), 0.13-0.35], shorter PFS (HR = 1.56; 95% CI, 1.92), and shorter OS (HR = 1.59; 95% CI, 1.33 -1.91) in NSCLC patients treated with EGFR-TKIs. Mutant PIK3 CA: significantly reduced shorter OS (HR = 1.83; 95% CI, 1.05-3.20) and shorter PFS (HR = 1.79; 95% CI, 0.91-3.53) in NSCLC patients treated with EGFR-TKIs.Conclusion: K-ras mutation adversely affected the clinical response and survival of NSCLC patients treated with EGFRTKIs. PIK3 CA In addition to EGFR, adding K-ras and PIK3 CA as routine gene biomarkers in clinical genetic analysis is valuable to optimize the effectiveness of EGFR-TKI regimens and identify optimal patients who will benefit from EGFR-TKI treatment.
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