基于循环肿瘤 DNA 和癌症组织的新一代测序显示,晚期或转移性非小细胞肺癌的靶向基因突变具有可比性。

IF 7.5 3区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Chinese Medical Journal Pub Date : 2025-04-05 Epub Date: 2024-05-06 DOI:10.1097/CM9.0000000000003117
Weijia Huang, Kai Xu, Zhenkun Liu, Yifeng Wang, Zijia Chen, Yanyun Gao, Renwang Peng, Qinghua Zhou
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引用次数: 0

摘要

背景:分子亚型是病理分析后靶向治疗的重要补充。本研究旨在调查非小细胞肺癌(NSCLC)中基于循环肿瘤 DNA(ctDNA)和基于组织的下一代测序(NGS)结果的一致性,并确定有利于ctDNA检测的患者特征:方法:纳入2017年12月至2022年8月期间在四川大学华西医院肺癌中心确诊为NSCLC并在手术或系统治疗前接受基于ctDNA和癌组织的NGS检测的患者。NGS 采用了 HiSeq 4000 NGS 平台的 425 个癌症面板。采用非加权科恩卡帕系数(Cohen's kappa coefficient)来区分高一致性组和低一致性组,临界值为0.6。利用六个机器学习模型来确定与基于ctDNA和基于组织的NGS高一致性相关的患者特征:共有 85 名患者入组,其中 22.4% (19/85)为 III 期疾病,56.5% 为 IV 期疾病。44名患者(51.8%)在基于ctDNA的NGS和基于组织的NGS中显示出一致的基因突变类型,1名患者(1.2%)在两种方法中均为阴性。结论:与基于组织的 NGS 相比,基于ctDNA 的 NGS 对靶向基因突变的检测效果相当,晚期或转移性 NSCLC 可以考虑使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Circulating tumor DNA- and cancer tissue-based next-generation sequencing reveals comparable consistency in targeted gene mutations for advanced or metastatic non-small cell lung cancer.

Background: Molecular subtyping is an essential complementarity after pathological analyses for targeted therapy. This study aimed to investigate the consistency of next-generation sequencing (NGS) results between circulating tumor DNA (ctDNA)-based and tissue-based in non-small cell lung cancer (NSCLC) and identify the patient characteristics that favor ctDNA testing.

Methods: Patients who diagnosed with NSCLC and received both ctDNA- and cancer tissue-based NGS before surgery or systemic treatment in Lung Cancer Center, Sichuan University West China Hospital between December 2017 and August 2022 were enrolled. A 425-cancer panel with a HiSeq 4000 NGS platform was used for NGS. The unweighted Cohen's kappa coefficient was employed to discriminate the high-concordance group from the low-concordance group with a cutoff value of 0.6. Six machine learning models were used to identify patient characteristics that relate to high concordance between ctDNA-based and tissue-based NGS.

Results: A total of 85 patients were enrolled, of which 22.4% (19/85) had stage III disease and 56.5% (48/85) had stage IV disease. Forty-four patients (51.8%) showed consistent gene mutation types between ctDNA-based and tissue-based NGS, while one patient (1.2%) tested negative in both approaches. Patients with advanced diseases and metastases to other organs would be suitable for the ctDNA-based NGS, and the generalized linear model showed that T stage, M stage, and tumor mutation burden were the critical discriminators to predict the consistency of results between ctDNA-based and tissue-based NGS.

Conclusion: ctDNA-based NGS showed comparable detection performance in the targeted gene mutations compared with tissue-based NGS, and it could be considered in advanced or metastatic NSCLC.

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来源期刊
Chinese Medical Journal
Chinese Medical Journal 医学-医学:内科
CiteScore
9.80
自引率
4.90%
发文量
19245
审稿时长
6 months
期刊介绍: The Chinese Medical Journal (CMJ) is published semimonthly in English by the Chinese Medical Association, and is a peer reviewed general medical journal for all doctors, researchers, and health workers regardless of their medical specialty or type of employment. Established in 1887, it is the oldest medical periodical in China and is distributed worldwide. The journal functions as a window into China’s medical sciences and reflects the advances and progress in China’s medical sciences and technology. It serves the objective of international academic exchange. The journal includes Original Articles, Editorial, Review Articles, Medical Progress, Brief Reports, Case Reports, Viewpoint, Clinical Exchange, Letter,and News,etc. CMJ is abstracted or indexed in many databases including Biological Abstracts, Chemical Abstracts, Index Medicus/Medline, Science Citation Index (SCI), Current Contents, Cancerlit, Health Plan & Administration, Embase, Social Scisearch, Aidsline, Toxline, Biocommercial Abstracts, Arts and Humanities Search, Nuclear Science Abstracts, Water Resources Abstracts, Cab Abstracts, Occupation Safety & Health, etc. In 2007, the impact factor of the journal by SCI is 0.636, and the total citation is 2315.
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