26. Classifying the oncogenicity of 100 variants from pediatric cancer patients using a standardized assessment framework

IF 1.4 4区 医学 Q4 GENETICS & HEREDITY Cancer Genetics Pub Date : 2024-08-01 DOI:10.1016/j.cancergen.2024.08.028
Wesley Goar , Kori Kuzma , Kathryn Stahl , Kathleen Schieffer , Catherine Cottrell , Elaine Mardis , Alex Wagner
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Abstract

The ClinGen/CGC/VICC Oncogenicity guidelines were published in 2022 as a standardized approach for assessing a variant's capacity to promote cancer formation. We describe an assessment tool, the Variation Categorizer (VarCat), that creates highly-structured oncogenicity classifications following these guidelines suitable for a clinical laboratory setting through an intuitive user-facing web application. The resulting classification is stored in a standardized genomic knowledge format developed by the Global Alliance for Genomics and Health (GA4GH) to promote interoperability and data sharing.
Here we report our assessment of 100 somatic variants from pediatric cancer cases studied by NGS-based exome sequencing in comparison to prior assessments characterized under the AMP/ASCO/CAP clinical actionability guidelines. Our study assesses application of these complementary guidelines in a high-throughput clinical setting. We describe the frequency and impact of specific oncogenicity codes used in these variant classification assessments. Our findings highlight specific codes that would benefit from further clarification for application to clinical classification workflows pursuant to clinical testing. Of particular note, we discuss applications of the OP2 (single genetic etiology) code and the need for objective criteria that classify cited studies as providing well-established, reproducible, and robust evidence. We present the challenges created due to these subjective guidelines and present our internal framework for systematically applying these codes. We conclude with an overview of the impact of our revised assessment criteria on interpretation turn-around time and reproducibility.
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26.使用标准化评估框架对来自儿科癌症患者的 100 个变异体的致癌性进行分类
ClinGen/CGC/VICC 致癌性指南于 2022 年发布,是评估变异体致癌能力的标准化方法。我们介绍了一种评估工具--变异分类器(Variation Categorizer,VarCat),它能根据这些指南,通过直观的面向用户的网络应用程序,创建适合临床实验室环境的高结构化致癌分类。在此,我们报告了我们对通过基于 NGS 的外显子组测序研究的儿科癌症病例中的 100 个体细胞变异进行的评估,并与之前根据 AMP/ASCO/CAP 临床可操作性指南进行的评估进行了比较。我们的研究评估了这些互补指南在高通量临床环境中的应用。我们描述了这些变异分类评估中使用的特定致癌代码的频率和影响。我们的研究结果强调了在临床测试中应用于临床分类工作流时需要进一步澄清的特定代码。特别值得注意的是,我们讨论了 OP2(单一遗传病因学)代码的应用,以及将引用研究归类为提供成熟、可重复和可靠证据的客观标准的必要性。我们介绍了这些主观准则带来的挑战,并介绍了我们系统应用这些代码的内部框架。最后,我们概述了修订后的评估标准对解释周转时间和可重复性的影响。
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来源期刊
Cancer Genetics
Cancer Genetics ONCOLOGY-GENETICS & HEREDITY
CiteScore
3.20
自引率
5.30%
发文量
167
审稿时长
27 days
期刊介绍: The aim of Cancer Genetics is to publish high quality scientific papers on the cellular, genetic and molecular aspects of cancer, including cancer predisposition and clinical diagnostic applications. Specific areas of interest include descriptions of new chromosomal, molecular or epigenetic alterations in benign and malignant diseases; novel laboratory approaches for identification and characterization of chromosomal rearrangements or genomic alterations in cancer cells; correlation of genetic changes with pathology and clinical presentation; and the molecular genetics of cancer predisposition. To reach a basic science and clinical multidisciplinary audience, we welcome original full-length articles, reviews, meeting summaries, brief reports, and letters to the editor.
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