用于常规临床应用的体细胞肿瘤外显子组的验证和实施。

IF 3.4 3区 医学 Q1 PATHOLOGY
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引用次数: 0

摘要

基于新一代测序的基因组检测是肿瘤工作流程的标准。然而,鉴于全球不同机构的需求和资源可用性的多样性,在不同机构间应用该技术仍具有挑战性。此外,使用各种不同的检测组(包括从几个单个基因到涉及数百个基因的检测组)会导致患者的治疗分布相对失衡。当务之急是实现更高水平的标准化,而不必局限于特定的试剂盒,也不必进行通常费用昂贵的重复验证。我们展示了 DH-CancerSeq 测定法的验证和临床应用,这是一种基于肿瘤全外显子组的测序方法,集成了信息学,同时提供与之前验证过的靶向基因面板相似的输入要求、灵敏度和特异性,还能保持相似的患者治疗周转时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Validation and Implementation of a Somatic-Only Tumor Exome for Routine Clinical Application

Next-generation sequencing–based genomic testing is standard of care for tumor workflows. However, its application across different institutions continues to be challenging given the diversity of needs and resource availability among different institutions globally. Moreover, the use of a variety of different panels, including those from a few individual genes to those involving hundreds of genes, results in a relatively skewed distribution of care for patients. It is imperative to obtain a higher level of standardization without having to be restricted to specific kits or requiring repeated validations, which are generally expensive. We show the validation and clinical implementation of the DH-CancerSeq assay, a tumor-only whole-exome–based sequencing assay with integrated informatics, while providing similar input requirements, sensitivity, and specificity to a previously validated targeted gene panel and maintaining similar turnaround times for patient care.

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来源期刊
CiteScore
8.10
自引率
2.40%
发文量
143
审稿时长
43 days
期刊介绍: The Journal of Molecular Diagnostics, the official publication of the Association for Molecular Pathology (AMP), co-owned by the American Society for Investigative Pathology (ASIP), seeks to publish high quality original papers on scientific advances in the translation and validation of molecular discoveries in medicine into the clinical diagnostic setting, and the description and application of technological advances in the field of molecular diagnostic medicine. The editors welcome for review articles that contain: novel discoveries or clinicopathologic correlations including studies in oncology, infectious diseases, inherited diseases, predisposition to disease, clinical informatics, or the description of polymorphisms linked to disease states or normal variations; the application of diagnostic methodologies in clinical trials; or the development of new or improved molecular methods which may be applied to diagnosis or monitoring of disease or disease predisposition.
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