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Development and Analytical Validation of a Targeted Next-Generation Sequencing Panel to Detect Actionable Mutations for Targeted Therapy

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单位: [1]College of Big Data and Internet,Shenzhen Technology University,Shenzhen, Guangdong, 518118, People’sRepublic of China [2]Department ofResearch and Development, SinotechGenomics Inc., Shanghai, 230001,People’s Republic of China [3]Departmentof Thoracic Surgery, National CancerCenter, Cancer Hospital & ShenzhenHospital, Chinese Academy of MedicalSciences and Peking Union MedicalCollege, Shenzhen, Guangdong, 518116,People’s Republic of China [4]Departmentof General Surgery, Beijing FriendshipHospital, Capital Medical University &National Clinical Research Center for Digestive Disease, Beijing, 100050,People’s Republic of China
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关键词: next-generation sequencing actionable mutations targeted therapy

摘要:
Background: The ability to rapidly, inexpensively, and accurately identify cancer patients based on actionable genomic mutations in tumour specimens is becoming critically important in routine clinical diagnostics. Targeted panel sequencing is becoming popular because it enables comprehensive and cost-effective diagnosis. However, the implementation of a next-generation sequencing (NGS) assay in clinical settings requires careful analytical validation to demonstrate its ability to detect multiple genomic variants. Materials and Methods: Here, we developed a custom-targeted NGS panel to identify actionable variants, including single nucleotide variants, insertions, and deletions; copy number variants; and gene fusions, across 73 genes for targeted cancer therapy. We implemented a practical validation strategy with diluted samples and reference standard samples that modelled key determinants of accuracy, including mutant allele frequency, insertion/deletion length, amplitude of copy number, and hotspot gene fusions. Results: The analytical validation results demonstrated that our panel can identify different types of genomic alterations in these test samples with high levels of accuracy, sensitivity, and reproducibility. Conclusion: Our panel could be deployed as a routine clinical test to comprehensively detect actionable variants in cancer patients to guide targeted therapy decisions.

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出版当年[2020]版:
大类 | 3 区 医学
小类 | 3 区 生物工程与应用微生物 4 区 肿瘤学
最新[2025]版:
大类 | 4 区 医学
小类 | 4 区 生物工程与应用微生物 4 区 肿瘤学
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出版当年[2019]版:
Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Q2 ONCOLOGY
最新[2023]版:
Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Q3 ONCOLOGY

影响因子: 最新[2023版] 最新五年平均[2021-2025] 出版当年[2019版] 出版当年五年平均[2015-2019] 出版前一年[2018版] 出版后一年[2020版]

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第一作者单位: [1]College of Big Data and Internet,Shenzhen Technology University,Shenzhen, Guangdong, 518118, People’sRepublic of China [2]Department ofResearch and Development, SinotechGenomics Inc., Shanghai, 230001,People’s Republic of China
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通讯机构: [1]College of Big Data and Internet,Shenzhen Technology University,Shenzhen, Guangdong, 518118, People’sRepublic of China [2]Department ofResearch and Development, SinotechGenomics Inc., Shanghai, 230001,People’s Republic of China [*1]College of Big Data and Internet, Shenzhen Technology University, Shenzhen, Guangdong, 518118, People’s Republic of China
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