PO.CL01.20 · 临床研究

用于检测非小细胞肺癌中指南推荐生物标志物的快速、靶向、全面基因组分析panel的一致性分析

Concordance analyses of a rapid, targeted, and comprehensive genomic profiling panel for the detection of guideline-recommended biomarkers in non-small cell lung cancer

海报缩略图:用于检测非小细胞肺癌中指南推荐生物标志物的快速、靶向、全面基因组分析panel的一致性分析
编号 3820 展板 4 时间 4/20 02:00–05:00 区域 Section 44 主讲 Amanda Williamson
分会场 Diagnostic Biomarkers 1
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作者与单位 Authors & Affiliations

Amanda Williamson1, Hardik Parikh2, Jon Williams3, Jie An2, Erin DeBlasi2, Alison Roos4, Leandra Blann5, Luca Quagliata6, Mark Tomilo7, Marcia Eisenberg8, Brian Caveney8, Taylor J. Jenson1, Shakti Ramkissoon1, Eric Severson1

1Labcorp, Durham, NC,2Labcorp, Buffalo, NY,3Labcorp, San Diego, CA,4Thermo Fisher Scientific, Phoenix, AZ,5Thermo Fisher Scientific, Houston, TX,6Thermo Fisher Scientific, Basel, Switzerland,7Thermo Fisher Scientific, Ann Arbor, MI,8Labcorp, Burlington, NC

摘要 Abstract

中文摘要
靶向治疗和免疫治疗改善了非小细胞肺癌(NSCLC)的生存。对于晚期和早期疾病,临床指南强调及时的生物标志物结果以优化结局。实验室在满足不断扩大的生物标志物需求的同时,还面临着节约组织和维持适合临床应用及试验入组的周转时间的挑战。本研究评估了靶向Oncomine™ Precision Assay(OPA,一种快速、低输入量NGS panel)与OmniSeq® INSIGHT(OSI)全面基因组分析(CGP)检测之间的一致性,并评估了OPA在常规实践中用于加速生物标志物报告的可行性。我们回顾性选择了200份既往经OSI检测、有残余核酸的晚期NSCLC样本。在Genexus仪器上使用OPA对DNA和RNA重新检测,并设有批间对照。一致性分析聚焦于BRAF、EGFR、ERBB2(HER2)、KRAS和MET中的DNA变异,以及ALK、MET、RET、ROS1和NTRK1-NTRK3中的RNA融合。计算了OPA相对于OSI的灵敏度和特异性。还评估了包括易用性和操作时间在内的工作流程指标。在37份样本的初步队列中,OPA的检测QC通过率为95%(DNA)和100%(RNA)。五份未通过OSI RNA QC的样本通过了OPA,但未检测到额外融合;这些样本被排除在一致性计算之外。平均测序指标为1.07M DNA比对读段和125,180个RNA融合比对读段。批间对照对SNV/插入缺失(20/20)和融合(44/44)为100%一致。在临床队列中,OPA对SNV/插入缺失为96.7%(29/30),对CNVs为100%(3/3),对融合为100%(2/2)。特异性为99.89%,其中一个潜在假阳性可能低于OSI的检出限(LOD)。周转时间为1天,操作时间<1小时。OPA对一组明确的可操作NSCLC生物标志物显示出与OSI的高度一致性。虽然并非所有临床相关生物标志物(如TMB、MSI或OPA panel之外的基因)都得到评估,但结果对重叠靶点显示出强的分析一致性。像OSI这样的CGP检测仍是晚期NSCLC广泛生物标志物检测的标准,但OPA的快速周转和低输入量要求为及时检测部分可操作生物标志物提供了实用选择,使其成为在时间或组织有限时对CGP的有益补充。
查看英文原文 English abstract
Targeted therapies and immunotherapies have improved survival in non-small cell lung cancer (NSCLC). For advanced and early-stage disease, clinical guidelines emphasize timely biomarker results to optimize outcomes. Laboratories face challenges in meeting expanding biomarker demands while conserving tissue and maintaining turnaround times suitable for clinical use and trial enrollment. This study evaluated concordance between the targeted Oncomine™ Precision Assay (OPA), a rapid, low-input NGS panel, and the OmniSeq® INSIGHT (OSI) comprehensive genomic profiling (CGP) assay and assessed OPA's feasibility for expedited biomarker reporting in routine practice. We retrospectively selected 200 advanced NSCLC samples with residual nucleic acid previously tested by OSI. DNA and RNA were re-run using OPA on the Genexus instrument with inter-assay controls. Concordance analyses focused on DNA variants in BRAF , EGFR , ERBB2(HER2) , KRAS , and MET , and RNA fusions in ALK , MET , RET , ROS1 , and NTRK1-NTRK3 . Sensitivity and specificity of OPA relative to OSI were calculated. Workflow metrics including ease-of-use and hands-on time were also evaluated.In a preliminary cohort of 37 samples, OPA showed Assay-QC pass rates of 95% (DNA) and 100% (RNA). Five samples that failed OSI RNA QC passed OPA, though no additional fusions were detected; these were excluded from concordance calculations. Averaged sequencing metrics were 1.07M DNA mapped reads and 125,180 RNA fusion mapped reads. Inter-assay controls were 100% concordant for SNV/Indels (20/20) and fusions (44/44). In the clinical cohort, OPA showed 96.7% for SNV/Indels (29/30), 100% for CNVs (3/3) and fusions (2/2). Specificity was 99.89%, with one potential false positive possibly below OSI's limit of detection (LOD). Turnaround time was 1 day with <1-hour hands-on time. OPA demonstrated high concordance with OSI for a defined set of actionable NSCLC biomarkers. While not all clinically relevant biomarkers (e.g., TMB, MSI, or genes outside the OPA panel) were assessed, results showed strong analytical agreement for overlapping targets. CGP assays like OSI remain the standard for broad biomarker testing in advanced NSCLC, but OPA's rapid turnaround and low-input requirements offer a practical option for timely detection of select actionable biomarkers, making it a useful complement to CGP when time or tissue is limited.
利益披露 Disclosure
A. Williamson, Labcorp Employment, Stock. H. Parikh, Labcorp Employment, Stock. J. Williams, Labcorp Employment, Stock. J. An, Labcorp Employment, Stock. E. DeBlasi, Labcorp Employment, Stock. A. Roos, alison.roos@thermofisher.com Employment, Stock. L. Blann, Thermo Fisher Scientific Employment, Stock. L. Quagliata, Thermo Fisher Scientific Employment, Stock. M. Tomilo, Thermo Fisher Scientific Employment, Stock. M. Eisenberg, Labcorp Employment, Stock. B. Caveney, Labcorp Employment, Stock. T. J. Jenson, Labcorp Employment, Stock. S. Ramkissoon, Labcorp Employment, Stock. E. Severson, Labcorp Employment, Stock.

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