Reynolds Jordan P, Zhou Yaolin, Jakubowski Maureen A, Wang Zhen, Brainard Jennifer A, Klein Roger D, Farver Carol F, Almeida Francisco A, Cheng Yu-Wei
Robert J. Tomsich Pathology and Laboratory Medicine Institute, Cleveland Clinic, Cleveland, Ohio.
Respiratory Institute, Cleveland Clinic, Cleveland, Ohio.
Cancer Cytopathol. 2017 Mar;125(3):178-187. doi: 10.1002/cncy.21812. Epub 2017 Jan 13.
The detection of mutated epidermal growth factor receptor (EGFR) in non-small cell lung cancer (NSCLC) with residual cell pellets derived from liquid-based cytology (LBC) samples (eg, endoscopic ultrasound-guided fine-needle aspiration) has been validated with allele-specific polymerase chain reaction. The aim of this study was to validate next-generation sequencing (NGS) technology for detecting gene mutations with residual cell pellets from LBC.
Archived DNA extracted from LBC samples of adenocarcinoma stored in PreservCyt with a known EGFR mutation status was retrieved. Genomic DNA was multiplex-amplified and enriched with Ion AmpliSeq Cancer Hotspot Panel v2 chemistry and the OneTouch 2 instrument; this was followed by semiconductor sequencing on the Ion Personal Genome Machine platform. The mutation hotspots of 6 NSCLC-related genes (BRAF, EGFR, ERBB2, KRAS, MET, and phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit α [PIK3CA]) were analyzed with NextGENe and Torrent Suite bioinformatics tools.
The commonly identified EGFR sequence changes, including 4 L858R mutations, 3 exon 19 deletions, and 1 exon 20 insertion, were in 100% concordance between the assay platforms. Less common NSCLC variants were also found in the mutation hotspots of ERBB2, KRAS, MET, and PIK3CA genes.
NSCLC mutation analysis using NGS can be successfully performed on residual cell pellets derived from LBC samples. This approach allows the simultaneous examination of multiple mutation hotspots in a timely manner to improve patient care. Cancer Cytopathol 2017;125:178-187. © 2016 American Cancer Society.
采用等位基因特异性聚合酶链反应已验证了利用源自液基细胞学(LBC)样本(如内镜超声引导下细针穿刺)的残余细胞团检测非小细胞肺癌(NSCLC)中表皮生长因子受体(EGFR)突变。本研究旨在验证利用下一代测序(NGS)技术检测LBC残余细胞团中的基因突变。
检索从储存于PreservCyt中的已知EGFR突变状态的腺癌LBC样本中提取的存档DNA。基因组DNA通过Ion AmpliSeq Cancer Hotspot Panel v2化学试剂和OneTouch 2仪器进行多重扩增和富集;随后在Ion Personal Genome Machine平台上进行半导体测序。使用NextGENe和Torrent Suite生物信息学工具分析6个NSCLC相关基因(BRAF、EGFR、ERBB2、KRAS、MET和磷脂酰肌醇-4,5-二磷酸3-激酶催化亚基α[PIK3CA])的突变热点。
常见的EGFR序列改变,包括4个L858R突变、3个外显子19缺失和1个外显子20插入,在各检测平台间的一致性为100%。在ERBB2、KRAS、MET和PIK3CA基因的突变热点中也发现了较少见的NSCLC变异。
使用NGS对NSCLC进行突变分析可成功应用于LBC样本的残余细胞团。这种方法能够及时同时检测多个突变热点,以改善患者护理。《癌症细胞病理学》2017年;125:178 - 187。©2016美国癌症协会。