通过 RNA-NGS 和 DNA-NGS 对晚期非小细胞肺癌患者进行可操作的结构变异检测。

IF 10.5 1区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Dwight Owen, Rotem Ben-Shachar, Josephine Feliciano, Lisa Gai, Kyle A Beauchamp, Zachary Rivers, Adam J Hockenberry, Genelle Harrison, John Guittar, Catarina Catela, Jerod Parsons, Ezra Cohen, Kate Sasser, Halla Nimeiri, Justin Guinney, Jyoti Patel, Daniel Morgensztern
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引用次数: 0

摘要

重要性:美国国家综合癌症网络(NCCN)非小细胞肺癌指南建议,与单纯的 DNA-NGS 相比,RNA 下一代测序(NGS)可改善融合和剪接变异的检测。然而,RNA-NGS 目前在常规肿瘤临床治疗中的应用还很有限:目的:分析来自不同晚期肺腺癌患者队列的临床证据,并比较通过DNA和RNA-NGS同时检测NCCN推荐的可操作结构变异(aSVs;融合和剪接变异)与仅检测DNA-NGS的效果:这项多站点、回顾性队列研究对 2021 年 2 月至 2023 年 10 月期间在 Tempus 多模态数据库中进行测序的患者进行了检查,该数据库由关联的分子和临床数据组成。参与者包括晚期肺腺癌患者,并有足够的组织样本量进行 RNA-NGS 和 DNA-NGS 测试:主要结果和测量指标:RNA-NGS独特发现的基于NCCN指南的结构变异(ALK、ROS1、RET和NTRK1/2/3融合,以及MET第14外显子跳接改变)的检测率:在可评估的 5570 例患者中,中位(IQR)年龄为 67.8(61.3-75.4)岁,2989 例患者(53.7%)为女性。通过 RNA-NGS 或 DNA-NGS 检测到的可操作结构变异的发生率为 8.8%(n = 491),其中通过 DNA-NGS 检测到的变异占 86.7%(n = 426)。与单独检测 DNA-NGS 相比,同时检测 RNA-NGS 和 DNA-NGS 发现的 aSV 患者增加了 15.3%(分别为 491 例和 426 例),其中可检测融合的患者增加了 14.3%(376 例和 329 例),MET 第 14 外显子跳变的患者增加了 18.6%(115 例和 97 例)。用于检测 aSV 的检测方法与采用 aSV 靶向治疗或临床结果之间没有明显关联。研究发现,新出现的结构变异(eSVs)的综合发生率为 0.7%,而 DNA-NGS 检测到的 eSVs 仅占 47.5%:在这项队列研究中,与单独使用 DNA-NGS 相比,通过 RNA-NGS 和 DNA-NGS 同时检测多个 NCCN 指南推荐的生物标记物的结构变异率更高,这表明在晚期 NSCLC 患者的治疗中应常规使用 RNA-NGS。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Actionable Structural Variant Detection via RNA-NGS and DNA-NGS in Patients With Advanced Non-Small Cell Lung Cancer.

Importance: The National Comprehensive Cancer Network (NCCN) guidelines for non-small cell lung cancer suggest that RNA next-generation sequencing (NGS) may improve the detection of fusions and splicing variants compared with DNA-NGS alone. However, there is limited adoption of RNA-NGS in routine oncology clinical care today.

Objective: To analyze clinical evidence from a diverse cohort of patients with advanced lung adenocarcinoma and compare the detection of NCCN-recommended actionable structural variants (aSVs; fusions and splicing variants) via concurrent DNA and RNA-NGS vs DNA-NGS alone.

Design, setting, and participants: This multisite, retrospective cohort study examined patients sequenced between February 2021 and October 2023 within the deidentified, Tempus multimodal database, consisting of linked molecular and clinical data. Participants included patients with advanced lung adenocarcinoma and sufficient tissue sample quantities for both RNA-NGS and DNA-NGS testing.

Exposures: Received results from RNA-NGS and DNA-NGS solid-tissue profiling assays.

Main outcomes and measures: Detection rates of NCCN guideline-based structural variants (ALK, ROS1, RET and NTRK1/2/3 fusions, as well as MET exon 14 skipping splicing alterations) found uniquely by RNA-NGS.

Results: In the evaluable cohort of 5570 patients, median (IQR) age was 67.8 (61.3-75.4) years, and 2989 patients (53.7%) were female. The prevalence of actionable structural variants detected by either RNA-NGS or DNA-NGS was 8.8% (n = 491), with 86.7% (n = 426) of these detected by DNA-NGS. Concurrent RNA-NGS and DNA-NGS identified 15.3% more patients harboring aSVs compared with DNA-NGS alone (491 vs 426 patients, respectively), including 14.3% more patients harboring actionable fusions (376 vs 329 patients) and 18.6% more patients harboring MET exon 14 skipping alterations (115 vs 97 patients). There was no significant association between the assay used for aSV detection and aSV-targeted therapeutic adoption or clinical outcome. Emerging structural variants (eSVs) were found to have a combined prevalence to be 0.7%, with only 47.5% of eSVs detected by DNA-NGS.

Conclusions and relevance: In this cohort study, the detection of structural variants via concurrent RNA-NGS and DNA-NGS was higher across multiple NCCN-guideline recommended biomarkers compared with DNA-NGS alone, suggesting that RNA-NGS should be routinely implemented in the care of patients with advanced NSCLC.

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来源期刊
JAMA Network Open
JAMA Network Open Medicine-General Medicine
CiteScore
16.00
自引率
2.90%
发文量
2126
审稿时长
16 weeks
期刊介绍: JAMA Network Open, a member of the esteemed JAMA Network, stands as an international, peer-reviewed, open-access general medical journal.The publication is dedicated to disseminating research across various health disciplines and countries, encompassing clinical care, innovation in health care, health policy, and global health. JAMA Network Open caters to clinicians, investigators, and policymakers, providing a platform for valuable insights and advancements in the medical field. As part of the JAMA Network, a consortium of peer-reviewed general medical and specialty publications, JAMA Network Open contributes to the collective knowledge and understanding within the medical community.
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