索引
外显子组测序
微卫星不稳定性
计算生物学
医学
DNA测序
外显子组
生物信息学
生物
遗传学
突变
单核苷酸多态性
微卫星
基因
等位基因
基因型
作者
Tracey White,Szabolcs Szelinger,Janine LoBello,Amy King,Jessica Aldrich,Nathan Garinger,Matthew Halbert,Ryan Richholt,Stephen D. Mastrian,Cody S. Babb,Audrey A. Ozols,Laurie J. Goodman,Gargi D. Basu,Thomas Royce
出处
期刊:Oncotarget
[Impact Journals LLC]
日期:2021-04-09
卷期号:12 (8): 726-739
被引量:20
标识
DOI:10.18632/oncotarget.27945
摘要
We developed and analytically validated a comprehensive genomic profiling (CGP) assay, GEM ExTra, for patients with advanced solid tumors that uses Next Generation Sequencing (NGS) to characterize whole exomes employing a paired tumor-normal subtraction methodology. The assay detects single nucleotide variants (SNV), indels, focal copy number alterations (CNA), TERT promoter region, as well as tumor mutation burden (TMB) and microsatellite instability (MSI) status. Additionally, the assay incorporates whole transcriptome sequencing of the tumor sample that allows for the detection of gene fusions and select special transcripts, including AR-V7, EGFR vIII, EGFRvIV, and MET exon 14 skipping events. The assay has a mean target coverage of 180X for the normal (germline) and 400X for tumor DNA including enhanced probe design to facilitate the sequencing of difficult regions. Proprietary bioinformatics, paired with comprehensive clinical curation results in reporting that defines clinically actionable, FDA-approved, and clinical trial drug options for the management of the patient's cancer. GEM ExTra demonstrated analytic specificity (PPV) of > 99.9% and analytic sensitivity of 98.8%. Application of GEM ExTra to 1,435 patient samples revealed clinically actionable alterations in 83.9% of reports, including 31 (2.5%) where therapeutic recommendations were based on RNA fusion findings only.
科研通智能强力驱动
Strongly Powered by AbleSci AI