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A Significant Statistical Advancement on the Predictive Values of ERCC1 Polymorphisms for Clinical Outcomes of Platinum-Based Chemotherapy in Non-Small Cell Lung Cancer: An Updated Meta-Analysis

机译:ERCC1基因多态性对非小细胞肺癌铂类化疗的临床疗效预测价值的重要统计进展:最新的荟萃分析

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摘要

Background. There is no definitive conclusion so far on the predictive values of ERCC1 polymorphisms for clinical outcomes of platinum-based chemotherapy in non-small cell lung cancer (NSCLC). We updated this meta-analysis with an expectation to obtain some statistical advancement on this issue. Methods. Relevant studies were identified by searching MEDLINE, EMBASE databases from inception to April 2015. Primary outcomes included objective response rate (ORR), progression-free survival (PFS), and overall survival (OS). All analyses were performed using the Review Manager version 5.3 and the Stata version 12.0. Results. A total of 33 studies including 5373 patients were identified. ERCC1 C118T and C8092A could predict both ORR and OS for platinum-based chemotherapy in Asian NSCLC patients (CT + TT versus CC, ORR: OR = 0.80, 95% CI = 0.67–0.94; OS: HR = 1.24, 95% CI = 1.01–1.53) (CA + AA versus CC, ORR: OR = 0.76, 95% CI = 0.60–0.96; OS: HR = 1.37, 95% CI = 1.06–1.75). Conclusions. Current evidence strongly indicated the prospect of ERCC1 C118T and C8092A as predictive biomarkers for platinum-based chemotherapy in Asian NSCLC patients. However, the results should be interpreted with caution and large prospective studies are still required to further investigate these findings.
机译:背景。迄今为止,关于ERCC1基因多态性对非小细胞肺癌(NSCLC)铂类化疗的临床结果的预测价值尚无确切结论。我们更新了这项荟萃分析,以期在此问题上获得一些统计上的进步。方法。从开始到2015年4月,通过搜索MEDLINE,EMBASE数据库确定了相关研究。主要结果包括客观缓解率(ORR),无进展生存期(PFS)和总体生存期(OS)。所有分析都是使用Review Manager 5.3版和Stata 12.0版进行的。结果。共鉴定出33项研究,包括5373名患者。 ERCC1 C118T和C8092A可以预测亚洲NSCLC患者铂类化疗的ORR和OS(CT + TT vs CC,ORR:OR = 0.80,95%CI = 0.67-0.94; OS:HR = 1.24,95%CI = 1.01-1.53​​)(CA + AA与CC,ORR:OR = 0.76,95%CI = 0.60-0.96; OS:HR = 1.37,95%CI = 1.06-1.75)。结论。目前的证据有力地表明,ERCC1 C118T和C8092A作为亚洲NSCLC患者铂类化学疗法的预测生物标志物的前景。但是,应谨慎解释结果,并且仍需要进行大量前瞻性研究才能进一步调查这些发现。

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