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

被引:0
|
作者
Huang, Weijia [1 ,2 ]
Xu, Kai [1 ,2 ]
Liu, Zhenkun [1 ,2 ]
Wang, Yifeng [1 ,2 ]
Chen, Zijia [1 ,2 ]
Gao, Yanyun [3 ,4 ]
Peng, Renwang [3 ,4 ]
Zhou, Qinghua [1 ,2 ]
机构
[1] Sichuan Univ, West China Hosp, Lung Canc Inst, Lung Canc Ctr, Chengdu 610041, Sichuan, Peoples R China
[2] Sichuan Univ, West China Hosp, Dept Thorac Surg, Chengdu 610041, Sichuan, Peoples R China
[3] Univ Bern, Bern Univ Hosp, Dept Gen Thorac Surg, Inselspital, CH-3010 Bern, Switzerland
[4] Univ Bern, Dept Biomed Res, CH-3010 Bern, Switzerland
基金
中国国家自然科学基金;
关键词
Circulating tumor DNA; Next-generation sequencing; Non-small cell lung cancer; Targeted gene mutations; LIQUID BIOPSIES; MANAGEMENT; PLASMA; DRIVER; CTDNA;
D O I
10.1097/CM9.0000000000003117
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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.
引用
收藏
页码:851 / 858
页数:8
相关论文
共 50 条
  • [1] 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
    Huang Weijia
    Xu Kai
    Liu Zhenkun
    Wang Yifeng
    Chen Zijia
    Gao Yanyun
    Peng Renwang
    Zhou Qinghua
    中华医学杂志英文版, 2025, 138 (07)
  • [2] Comparative analysis of genomic profiles between tissue-based and plasma-based next-generation sequencing in patients with non-small cell lung cancer
    Lin, Zeyun
    Li, Yuqin
    Tang, Shiqi
    Deng, Qiuhua
    Jiang, Juhong
    Zhou, Chengzhi
    LUNG CANCER, 2023, 182
  • [3] Next-generation sequencing of circulating tumor DNA for metastatic non-small cell lung cancer: a discussion on its implementation in the Brazilian clinical practice
    H Araujo, Luiz
    Ferreira, Carlos Gil
    Baldotto, Clarissa S.
    Mathias, Clarissa
    Castro, Gilberto, Jr.
    Coudry, Renata
    FUTURE ONCOLOGY, 2020, 17 (02) : 205 - 214
  • [4] Sequencing of circulating tumor DNA for dynamic monitoring of gene mutations in advanced non-small cell lung cancer
    Xu, Ruilian
    Zhong, Guolin
    Huang, Tanxiao
    He, Wan
    Kong, Cheng
    Zhang, Xiaoni
    Wang, Ying
    Liu, Ming
    Xu, Mingyan
    Chen, Shifu
    ONCOLOGY LETTERS, 2018, 15 (03) : 3726 - 3734
  • [5] Targeted Next-Generation Sequencing of Circulating Tumor DNA Mutations among Metastatic Breast Cancer Patients
    Sun, Min-Ying
    Lin, Fang-Qin
    Chen, Lu-Jia
    Li, Hong
    Lin, Wei-Quan
    Du, Hong-Yan
    Yang, Xue-Xi
    Li, Ming
    CURRENT ONCOLOGY, 2021, 28 (04) : 2326 - 2336
  • [6] Circulating tumor DNA evaluated by Next-Generation Sequencing is predictive of tumor response and prolonged clinical benefit with nivolumab in advanced non-small cell lung cancer
    Leprieur, Etienne Giroux
    Herbretau, Guillaume
    Dumenil, Coraline
    Julie, Catherine
    Giraud, Violaine
    Labrune, Sylvie
    Dumoulin, Jennifer
    Tisserand, Julie
    Emile, Jean-Francois
    Blons, Helene
    Chinet, Thierry
    ONCOIMMUNOLOGY, 2018, 7 (05):
  • [7] Detection of Actionable Mutation Status in Advanced Non-Small Cell Lung Cancer by Next-Generation Sequencing of Circulating Tumor DNA
    Yang, Y.
    Song, X.
    Guo, W.
    JOURNAL OF THORACIC ONCOLOGY, 2018, 13 (10) : S715 - S715
  • [8] Comprehensive analysis of genomic alterations detected by next-generation sequencing-based tissue and circulating tumor DNA assays in Chinese patients with non-small cell lung cancer
    Yang, Hua
    Zhang, Junjie
    Zhang, Lemeng
    Wen, Xiaoping
    Luo, Yongzhong
    Yao, Dingquan
    Cheng, Tianli
    Cheng, Huanqing
    Wang, Huina
    Lou, Feng
    Guo, Jing
    Liang, Xiayuan
    Cao, Shanbo
    Chen, Jianhua
    ONCOLOGY LETTERS, 2019, 18 (05) : 4762 - 4770
  • [9] Next-generation sequencing of circulating tumor DNA for detection of gene mutations in lung cancer: implications for precision treatment
    Lai, Jinhuo
    Du, Bin
    Wang, Yao
    Wu, Riping
    Yu, Zongyang
    ONCOTARGETS AND THERAPY, 2018, 11 : 9111 - 9116
  • [10] Clinical Utility of Circulating Tumor DNA for Detecting Lung Cancer Mutations by Targeted Next-Generation Sequencing With Insufficient Tumor Samples
    Sun, Yi
    Zhang, Xu
    Yang, Xinhua
    Ma, Jiangjun
    JOURNAL OF CLINICAL LABORATORY ANALYSIS, 2024, 38 (19-20)