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美国病理学家协会首个计算机模拟下一代测序生物信息学能力验证调查的四年实验室表现

Four-Year Laboratory Performance of the First College of American Pathologists In Silico Next-Generation Sequencing Bioinformatics Proficiency Testing Surveys.

作者信息

Furtado Larissa V, Souers Rhona J, Vasalos Patricia, Halley Jaimie G, Aisner Dara L, Nagarajan Rakesh, Voelkerding Karl V, Merker Jason D, Konnick Eric Q

机构信息

From the Department of Pathology, St Jude Children's Research Hospital, Memphis, Tennessee (Furtado).

From the Biostatistics Department (Souers), College of American Pathologists, Northfield, Illinois.

出版信息

Arch Pathol Lab Med. 2023 Feb 1;147(2):137-142. doi: 10.5858/arpa.2021-0384-CP.

Abstract

CONTEXT.—: In 2016, the College of American Pathologists (CAP) launched the first next-generation sequencing (NGS) in silico bioinformatics proficiency testing survey to evaluate the performance of clinical laboratory bioinformatics pipelines for the detection of oncology-associated variants at varying allele fractions. This survey focused on 2 commonly used oncology panels, the Illumina TruSeq Amplicon Cancer Panel and the Thermo Fisher Ion AmpliSeq Cancer Hotspot v2 Panel.

OBJECTIVE.—: To review the analytical performance of laboratories participating in the CAP NGS bioinformatics (NGSB) surveys, comprising NGSB1 for Illumina users and NGSB2 for Thermo Fisher Ion Torrent users, between 2016 and 2019.

DESIGN.—: Responses from 78 laboratories were analyzed for accuracy and associated performance characteristics.

RESULTS.—: The analytical sensitivity was 90.0% (1901 of 2112) for laboratories using the Illumina platform and 94.8% (2153 of 2272) for Thermo Fisher Ion Torrent users. Variant type and variant allele fraction were significantly associated with performance. False-negative results were seen mostly for multi-nucleotide variants and variants engineered at variant allele fractions of less than 25%. Analytical specificity for all participating laboratories was 99.8% (9303 of 9320). There was no statistically significant association between deletion-insertion length and detection rate.

CONCLUSIONS.—: These results demonstrated high analytical sensitivity and specificity, supporting the feasibility and utility of using in silico mutagenized NGS data sets as a supplemental challenge to CAP surveys for oncology-associated variants based on physical samples. This program demonstrates the opportunity and challenges that can guide future surveys inclusive of customized in silico programs.

摘要

背景

2016年,美国病理学家学会(CAP)发起了首次下一代测序(NGS)虚拟生物信息学能力验证调查,以评估临床实验室生物信息学流程在检测不同等位基因分数的肿瘤相关变异方面的性能。该调查聚焦于2个常用的肿瘤检测panel,即Illumina TruSeq Amplicon Cancer Panel和赛默飞世尔科技Ion AmpliSeq Cancer Hotspot v2 Panel。

目的

回顾2016年至2019年期间参与CAP NGS生物信息学(NGSB)调查的实验室的分析性能,其中包括针对Illumina用户的NGSB1和针对赛默飞世尔科技Ion Torrent用户的NGSB2。

设计

分析了78个实验室的回复,以评估准确性及相关性能特征。

结果

使用Illumina平台的实验室的分析灵敏度为90.0%(2112个样本中的1901个),赛默飞世尔科技Ion Torrent用户的分析灵敏度为94.8%(2272个样本中的2153个)。变异类型和变异等位基因分数与性能显著相关。假阴性结果主要见于多核苷酸变异以及等位基因分数低于25%的工程变异。所有参与实验室的分析特异性为99.8%(9320个样本中的9303个)。缺失-插入长度与检测率之间无统计学显著关联。

结论

这些结果显示出较高的分析灵敏度和特异性,支持了使用虚拟诱变的NGS数据集作为对基于物理样本的CAP肿瘤相关变异调查的补充挑战的可行性和实用性。该项目展示了可指导未来包括定制虚拟程序在内的调查的机遇和挑战。

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