Identifying Actionable Variants Using Capture-Based Targeted Sequencing in 563 Patients With Non-Small Cell Lung Carcinoma

Although the NSCLC diagnostic standards recommend the detection of driver gene mutation, comprehensive genomic profiling has not been used widely in clinical practice. As to the different mutation spectrum characteristics between populations, the research based on Chinese NSCLC cohort is very import...

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Published inFrontiers in oncology Vol. 11; p. 812433
Main Authors Jiang, Haiping, Wang, Yinan, Xu, Hanlin, Lei, Wei, Yu, Xiaoyun, Tian, Haiying, Meng, Cong, Wang, Xueying, Zhao, Zicheng, Jin, Xiangfeng
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Media S.A 04.02.2022
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Summary:Although the NSCLC diagnostic standards recommend the detection of driver gene mutation, comprehensive genomic profiling has not been used widely in clinical practice. As to the different mutation spectrum characteristics between populations, the research based on Chinese NSCLC cohort is very important for clinical practice. Therefore, we collected 563 surgical specimens from patients with non-small cell lung carcinoma and applied capture-based sequencing using eight-gene panel. We identified 556 variants, with 416 potentially actionable variants in 54.88% (309/563) patients. These single nucleotide variants, insertions and deletions were most commonly found in (55%), followed by (12%), (11%), (9%), (8%), (7%), (2%), (0.3%). By using ten protein function prediction algorithms, we also identified 30 novel potentially pathogenic variants. Ninety-eight patients harbored EFGR exon 21 p.L858R mutation and the catalytic domain of the protein tyrosine kinase (PTKc) in is largely mutated. In addition, there were nine frequent pathogenic variants found in five or more patients. This data provides the potential molecular basis for directing the treatment of lung cancer.
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This article was submitted to Cancer Genetics, a section of the journal Frontiers in Oncology
Reviewed by: Qin Zhu, University of California, San Francisco, United States; Fengbiao Mao, University of Michigan, United States
Edited by: Hua Tan, National Human Genome Research Institute (NHGRI), United States
These authors have contributed equally to this work
ISSN:2234-943X
2234-943X
DOI:10.3389/fonc.2021.812433