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首页> 外文期刊>British Journal of Cancer >Combined assessment of EGFR pathway-related molecular markers and prognosis of NSCLC patients
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Combined assessment of EGFR pathway-related molecular markers and prognosis of NSCLC patients

机译:EGFR途径相关分子标志物与NSCLC患者预后的综合评估

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The purpose of this study is to evaluate the prognostic value of the combined assessment of multiple molecular markers related to the epidermal growth factor receptor (EGFR) pathway in resected non-small cell lung cancer (NSCLC) patients. Tumour specimens of 178 NSCLC patients were collected and analysed for EGFR and KRAS mutation status by DNA sequencing, and for EGFR copy number by fluorescent in situ hybridisation. Tissue microarrays were generated and used to determine the expression of multiple EGFR pathway-related proteins by immunohistochemistry. We analysed the association between each marker and patient prognosis. Univariate analyses for each clinical variable and each molecular marker were performed using Kaplan–Meier curves and log-rank tests. From these results, we selected the variables KRAS mutations and expression of cytoplasmic EGFR, granular pERK, nuclear pSTAT3, cytoplasmic E-cadherin and cytoplasmic pCMET to enter into a Cox proportional hazards model, along with stage as the strongest clinical variable related with prognosis. Of the EGFR-related markers evaluated here, the markers EGFR, pERK, pSTAT3, E-cadherin, pCMET and mutations in KRAS were associated with survival when analysed in combination in our patient cohort, with P=0.00015 as the P-value for a test of the additional impact of markers on prognosis, after taking stage into consideration. Confirmation of the impact of these markers in independent studies will be necessary.
机译:这项研究的目的是评估与切除的非小细胞肺癌(NSCLC)患者相关的多种与表皮生长因子受体(EGFR)途径相关的分子标记的联合评估的预后价值。收集178名NSCLC患者的肿瘤标本,并通过DNA测序分析EGFR和KRAS突变状态,并通过荧光原位杂交分析EGFR拷贝数。产生组织微阵列,并用于通过免疫组织化学确定多种EGFR途径相关蛋白的表达。我们分析了每种指标与患者预后之间的关联。使用Kaplan-Meier曲线和对数秩检验对每个临床变量和每个分子标记物进行单变量分析。从这些结果中,我们选择了变量KRAS突变和细胞质EGFR,粒状pERK,核pSTAT3,细胞质E-钙粘着蛋白和细胞质pCMET的表达,以进入Cox比例风险模型,并将分期作为与预后相关的最强临床变量。在我们的患者队列中进行组合分析时,在此处评估的EGFR相关标记中,EGFR,pERK,pSTAT3,E-cadherin,pCMET标记和KRAS突变与生存相关,P = 0.00015作为p值。考虑阶段后,测试标记物对预后的其他影响。在独立研究中确认这些标志物的影响将是必要的。

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