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首页> 外文期刊>Annals of the New York Academy of Sciences >Early and Specific Prediction of the Therapeutic Efficacy in Non-Small Cell Lung Cancer Patients by Nucleosomal DNA and Cytokeratin-19 Fragments
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Early and Specific Prediction of the Therapeutic Efficacy in Non-Small Cell Lung Cancer Patients by Nucleosomal DNA and Cytokeratin-19 Fragments

机译:通过核糖体DNA和细胞角蛋白19片段对非小细胞肺癌患者疗效的早期和特异性预测

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摘要

Facing an era of promising new antitumor therapies, predictors of therapy response are needed for the individual management of treatment. In sera collected prospectively from 311 patients with advanced non-small cell lung cancer receiving first-line chemotherapy, changes in nucleosomal DNA fragments, cytokeratin-19 fragments (CYFRA 21-1), carcinoembryonic antigen (CEA), neuron-specific eno-lase (NSE), and progastrin-releasing peptide (ProGRP) were investigated and correlated with therapy response. In univariate analysis, high levels, slower and incomplete decline in nucleosomal DNA, CYFRA 21-1, and CEA predicted poor outcome. DNA concentrations at day 8 of the first therapeutic cycle and CYFRA 21-1 before start of the second cycle were identified as best predictive variables. In multivariate analysis, they predicted progression with a specificity of 100% in 29% of the cases earlier than imaging techniques. Thus, nucleosomal DNA and CYFRA 21-1 specifically identify a subgroup of patients with insufficient therapy response at the early treatment phase and showed to be valuable for disease management.
机译:面对有希望的新抗肿瘤疗法的时代,个体治疗的治疗需要预测治疗反应的指标。在前瞻性收集的接受一线化疗的311例晚期非小细胞肺癌患者的血清中,核小体DNA片段,细胞角蛋白19片段(CYFRA 21-1),癌胚抗原(CEA),神经元特异性烯醇化酶的变化(NSE)和胃泌素释放肽(ProGRP)进行了研究,并与治疗反应相关。在单变量分析中,核小体DNA,CYFRA 21-1和CEA的高水平,缓慢且不完全的下降预示不良结果。在第一个治疗周期的第8天和第二个周期开始之前的CYFRA 21-1的DNA浓度被确定为最佳预测变量。在多变量分析中,他们比成像技术更早地预测了29%病例中100%特异性的进展。因此,核小体DNA和CYFRA 21-1可以在早期治疗阶段特异性识别出治疗反应不足的患者亚组,并显示出对疾病管理的价值。

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