Comparison of EGFR Signaling Pathway Somatic DNA Mutations Derived From Peripheral Blood and Corresponding Tumor Tissue of Patients with Advanced Non-Small-Cell Lung Cancer Using Liquidchip Technology

• Autores: Hui Zhang, Deruo Liu, Shanqing Li, Yongqing Zheng, Xinjie Yang, Xi Li, Quan Zhang, Na Qin, Jialin Lu, Lifen Ren Heidenreich, Huiyi Yang, Yuhua Wu, Xinyong Zhang, Jingying Nong, Yifen Sun, Shucai Zhang
• Localización: The Journal of molecular diagnostics, ISSN 1525-1578, Vol. 15, Nº. 6, 2013, págs. 819-826
• Idioma: inglés
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• Resumen

  • Somatic DNA mutations affecting the epidermal growth factor receptor (EGFR) signaling pathway are known to predict responsiveness to EGFR-tyrosine kinase inhibitor drugs in patients with advanced non�small-cell lung cancers. We evaluated a sensitive liquidchip platform for detecting EGFR, KRAS (alias Ki-ras), proto-oncogene B-Raf, and phosphatidylinositol 3-kinase CA mutations in plasma samples, which were highly correlated with matched tumor tissues from 86 patients with advanced non-small-cell lung cancers. Either EGFR exon 19 or 21 mutations were detected in 36 patients: 23 of whom had identical mutations in both their blood and tissue samples; whereas mutations in the remaining 13 were found only in their tumor samples. These EGFR mutations occurred at a significantly higher frequency in females, never-smokers, and in patients with adenocarcinomas (P ? 0.001). The EGFR exon 20 T790M mutation was detected in only one of the paired samples [100% (95% CI, 96% to 100%) agreement]. For KRAS, proto-oncogene B-Raf, and phosphatidylinositol 3-kinase CA mutations, the overall agreements were 97% (95% CI, 90% to 99%), 98% (95% CI, 92% to 99%), and 97% (95% CI, 90% to 99%), respectively, and these were not associated with age, sex, smoking history, or histopathologic type. In conclusion, mutations detected in plasma correlated strongly with mutation profiles in each respective tumor sample, suggesting that this liquidchip platform may offer a rapid and noninvasive method for predicting tumor responsiveness to EGFR-tyrosine kinase inhibitor drugs in patients with advanced non-small-cell lung cancers.