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Epidermal growth factor receptor genomic variation in NSCLC patients receiving tyrosine kinase inhibitor therapy: a systematic review and meta-analysis.

机译:接受酪氨酸激酶抑制剂治疗的非小细胞肺癌患者的表皮生长因子受体基因组变异:系统评价和荟萃分析。

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INTRODUCTION: The objective of this analysis was to examine the relationship between genomic variation and health outcomes in studies performed in non-small cell lung cancer (NSCLC) patients treated with single agent epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) using a systematic review with statistical pooling of data. METHODS: We performed a systematic search of the literature using the MEDLINE, BIOSIS, and EMABASE databases from July 1997 to July 2007. Eligible studies were evaluated for quality and clinical, methodological, and statistical heterogeneity. Abstracted data judged to be sufficiently homogenous were pooled using a fixed effect model. RESULTS: We found a statistically significant higher probability of tumor response (according to the RECIST criteria) for patients with EGFR mutations versus wild type (5.92, 95% CI 4.91-7.13) and patients with high- versus low EGFR protein expression (2.71, 95% CI 1.72-4.29). EGFR mutation and high EGFR protein expression were associated with significantly improved survival over the wild type and low protein expression groups (0.36, 95% CI 0.29-0.46 and 0.59, 95% CI 0.44-0.81), respectively. Last, there was a significant difference in EGFR-TKI treatment effect in the high EGFR gene copy number and high EGFR protein expression groups (0.72, 95% CI 0.57-0.92 and 0.53, 95% CI 0.35-0.80). CONCLUSION: In conclusion, EGFR mutation and protein expression status may provide useful clinical information in terms of the likelihood of tumor response and disease prognosis. EGFR gene copy number and to a lesser extent, EGFR protein expression status, appear to be promising biomarkers for predicting a survival benefit with EGFR-TKI therapy in second line NSCLC, but further evidence is needed.
机译:简介:本分析的目的是在使用单药表皮生长因子受体酪氨酸激酶抑制剂(EGFR-TKIs)治疗的非小细胞肺癌(NSCLC)患者中进行的研究中,研究基因组变异与健康结果之间的关系。对数据进行统计汇总的系统评价。方法:从1997年7月至2007年7月,我们使用MEDLINE,BIOSIS和EMABASE数据库对文献进行了系统的检索。对合格的研究进行了质量,临床,方法学和统计学异质性评估。使用固定效应模型汇总被判断为足够均匀的抽象数据。结果:我们发现具有EGFR突变的患者相对于野生型(5.92,95%CI 4.91-7.13)以及具有高或低EGFR蛋白表达的患者(2.71, 95%CI 1.72-4.29)。 EGFR突变和高EGFR蛋白表达与野生型和低蛋白表达组(分别为0.36、95%CI 0.29-0.46和0.59、95%CI 0.44-0.81)相比,生存率显着提高。最后,在高EGFR基因拷贝数和高EGFR蛋白表达组中,EGFR-TKI治疗效果存在显着差异(0.72,95%CI 0.57-0.92和0.53,95%CI 0.35-0.80)。结论:总的来说,EGFR突变和蛋白表达状态可能在肿瘤反应和疾病预后方面提供有用的临床信息。 EGFR基因拷贝数和较小程度的EGFR蛋白表达状态似乎是有望在二线NSCLC中用EGFR-TKI治疗预测生存获益的生物标志物,但仍需要进一步的证据。

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