Departments of Thoracic, Breast and Endocrinological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, 2-5-1 Shikata-cho, Kita-ku, Okayama City, 700-8558, Japan.
Department of Biobank, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, 2-5-1 Shikata-cho, Kita-ku, Okayama City, 700-8558, Japan.
BMC Cancer. 2019 Feb 26;19(1):175. doi: 10.1186/s12885-019-5374-1.
In lung cancer, epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor sensitizing mutations co-existing with rare minor EGFR mutations are known as compound mutations. These minor EGFR mutations can lead to acquired resistance after EGFR tyrosine kinase inhibitor treatment, so determining the mutation status of patients is important. However, using amplicon-based targeted deep sequencing based on next-generation sequencing to characterize mutations is prone to sequencing error. We therefore assessed the benefit of incorporating molecular barcoding with high-throughput sequencing to investigate genomic heterogeneity in treatment-naïve patients who have undergone resection of their non-small cell lung cancer (NSCLC) EGFR mutations.
We performed amplicon-based targeted sequencing with the molecular barcoding system (MBS) to detect major common EGFR mutations and uncommon minor mutations at a 0.5% allele frequency in fresh-frozen lung cancer samples.
Profiles of the common mutations of EGFR identified by MBS corresponded with the results of clinical testing in 63 (98.4%) out of 64 cases. Uncommon mutations of EGFR were detected in seven cases (10.9%). Among the three types of major EGFR mutations, patients with the G719X mutation had a significantly higher incidence of compound mutations than those with the L858R mutation or exon 19 deletion (p = 0.0052). This was validated in an independent cohort from the Cancer Genome Atlas dataset (p = 0.018).
Our findings demonstrate the feasibility of using the MBS to establish an accurate NSCLC patient genotype. This work will help understand the molecular basis of EGFR compound mutations in NSCLC, and could aid the development of new treatment modalities.
在肺癌中,表皮生长因子受体(EGFR)酪氨酸激酶抑制剂敏感突变与罕见的次要 EGFR 突变共存被称为复合突变。这些次要 EGFR 突变可导致 EGFR 酪氨酸激酶抑制剂治疗后的获得性耐药,因此确定患者的突变状态很重要。然而,使用基于下一代测序的扩增子靶向深度测序来描述突变容易发生测序错误。因此,我们评估了将分子条码与高通量测序相结合以研究接受非小细胞肺癌(NSCLC)EGFR 突变切除的治疗初治患者基因组异质性的益处。
我们使用分子条码系统(MBS)进行扩增子靶向测序,以检测新鲜冷冻肺癌样本中常见 EGFR 突变的主要常见突变和罕见的次要突变,等位基因频率为 0.5%。
MBS 鉴定的常见 EGFR 突变谱与 64 例中的 63 例(98.4%)临床检测结果相符。在 7 例(10.9%)中检测到罕见的 EGFR 突变。在三种主要的 EGFR 突变类型中,G719X 突变的患者比 L858R 突变或外显子 19 缺失的患者复合突变的发生率明显更高(p = 0.0052)。这在癌症基因组图谱数据集的独立队列中得到了验证(p = 0.018)。
我们的研究结果表明,使用 MBS 建立准确的 NSCLC 患者基因型是可行的。这项工作将有助于了解 NSCLC 中 EGFR 复合突变的分子基础,并可能有助于开发新的治疗方法。