Practical Bioinformatic DNA-Sequencing Pipeline for Detecting Oncogene Amplification and EGFRvIII Mutational Status in Clinical Glioblastoma Samples.
Practical Bioinformatic DNA-Sequencing Pipeline for Detecting Oncogene Amplification and EGFRvIII Mutational Status in Clinical Glioblastoma Samples.
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用于检测临床胶质母细胞瘤样本中癌基因扩增和 EGFRvIII 突变状态的实用生物信息学 DNA 测序流程。
DOI:
10.1016/j.jmoldx.2019.02.001
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发表时间:
2019
期刊:
影响因子:
--
通讯作者:
Tsankova,NadejdaM
中科院分区:
文献类型:
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作者:
Miller,MichaelL;Tome-Garcia,Jessica;Waluszko,Aneta;Sidorenko,Tatyana;Kumar,Chitra;Ye,Fei;Tsankova,NadejdaM
Glioblastoma is a malignant brain tumor with dismal prognosis. Oncogenic mutations in glioblastoma frequently affect receptor tyrosine kinase pathway components that are challenging to quantify because of heterogeneous expression. EGFRvIII, a common oncogenic receptor tyrosine kinase mutant protein in glioblastoma, potentiates tumor malignancy and is an emerging tumor-specific immunotarget, underlining the need for its more accessible and quantitative detection. We used normalized next-generation sequencing data from 117 brain and 371 reference clinical tumor samples to detect focal gene amplifications across the commercial Ion AmpliSeq Cancer Hotspot Panel version 2 and inferEGFRvIIIstatus based on relative coverage dropout of the gene's truncated region withinEGFR. In glioblastomas (n= 45), amplification ofEGFR[18 (40%)],PDGFRA[3 (7%)],KIT[2 (4%)],MET[1 (2%)], andAKT1[1 (2%)] was detected. With respect toEGFRandPDGFRAamplification, there was near-complete agreement between next-generation sequencing andin situhybridization. Consistent with previous reports, this method detectedEGFRvIIIexclusively inEGFR-amplified glioblastomas [8 (44%)], which was confirmed using long-range PCR. Our study offers a practical method for detecting oncogene amplifications and large intragenic mutations in a clinically implemented hotspot panel that can be quantified usingzscores. The validated detection ofEGFRvIIIusing DNA sequencing eliminates problems with transcript degradation, and the provided script facilitates efficient incorporation into a laboratory's bioinformatic pipeline.