Quantitative detection of ALK fusion breakpoints in plasma cell-free DNA from patients with non-small cell lung cancer using PCR-based target sequencing with a tiling primer set and two-step mapping/alignment

被引:7
|
作者
Kunimasa, Kei [1 ]
Kato, Kikuya [2 ]
Imamura, Fumio [1 ]
Kukita, Yoji [2 ]
机构
[1] Osaka Int Canc Inst, Dept Thorac Oncol, Osaka, Japan
[2] Nara Inst Sci & Technol, Lab Med Genom, Ikoma, Nara, Japan
来源
PLOS ONE | 2019年 / 14卷 / 09期
基金
日本学术振兴会;
关键词
BIAS;
D O I
10.1371/journal.pone.0222233
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background Tyrosine kinase inhibitors targeted to anaplastic lymphoma kinase (ALK) have been demonstrated to be effective for lung cancer patients with an ALK fusion gene. Application of liquid biopsy, i.e., detection and quantitation of the fusion product in plasma cell-free DNA (cfDNA), could improve clinical practice. To detect ALK fusions, because fusion breakpoints occur somewhere in intron 19 of the ALK gene, sequencing of the entire intron is required to locate breakpoints. Results We constructed a target sequencing system using an adapter and a set of primers that cover the entire ALK intron 19. This system can amplify fragments, including breakpoints, regardless of fusion partners. The data analysis pipeline firstly detected fusions by alignment to selected target sequences, and then quantitated the fusion alleles aligning to the identified breakpoint sequences. Performance was validated using 20 cfDNA samples from ALK-positive non-small cell lung cancer patients and samples from 10 healthy volunteers. Sensitivity and specificity were 50 and 100%, respectively. Conclusions We demonstrated that PCR-based target sequencing using a tiling primer set and two-step mapping/alignment quantitatively detected ALK fusions in cfDNA from lung cancer patients. The system offers an alternative to existing approaches based on hybridization capture.
引用
收藏
页数:15
相关论文
共 50 条
  • [31] Plasma cell-free DNA level and its integrity as biomarkers to distinguish non-small cell lung cancer from tuberculosis
    Leng, Shaoyi
    Zheng, Jianjun
    Jin, Yinhua
    Zhang, Hongbin
    Zhu, Ya
    Wu, Jing
    Xu, Yan
    Zhang, Puhong
    CLINICA CHIMICA ACTA, 2018, 477 : 160 - 165
  • [32] Targeted sequencing of plasma cell-free DNA to predict response to PD1 inhibitors in advanced non-small cell lung cancer
    Guibert, Nicolas
    Jones, Greg
    Beeler, John F.
    Plagnol, Vincent
    Morris, Clive
    Mourlanette, Jean
    Delaunay, Myriam
    Keller, Laura
    Rouquette, Isabelle
    Favre, Gilles
    Pradines, Anne
    Mazieres, Julien
    LUNG CANCER, 2019, 137 : 1 - 6
  • [33] Targeted methylation sequencing of plasma cell-free DNA identifies patients with advanced breast, colorectal, non-small cell lung cancer, melanoma with poor outcomes
    Jassowicz, A.
    Liu, L.
    Huang, H.
    Hong, D. S.
    Naing, A.
    Subbiah, V.
    Piha-Paul, S. A.
    Toung, J.
    Vijayaraghavan, R.
    Zhang, R.
    Kang, H.
    Fu, S.
    Tsimberiodou, A. M.
    Lu, C.
    Eng, C.
    Moulder, S.
    Kopetz, S.
    Amaria, R.
    Meric-Bernstam, F.
    Janku, F.
    ANNALS OF ONCOLOGY, 2017, 28
  • [34] Clinical Application of Next-Generation Sequencing of Plasma Cell-Free DNA for Genotyping Untreated Advanced Non-Small Cell Lung Cancer
    Fernandes, Maria Gabriela O.
    Cruz-Martins, Natalia
    Souto Moura, Conceicao
    Guimaraes, Susana
    Pereira Reis, Joana
    Justino, Ana
    Pina, Maria Joao
    Magalhaes, Adriana
    Queiroga, Henrique
    Machado, Jose Carlos
    Hespanhol, Venceslau
    Costa, Jose Luis
    CANCERS, 2021, 13 (11)
  • [35] Quantification and monitoring of treatment response in EGFR mutant non-small cell lung cancer patients using Digital PCR and Therascreen in plasma cell-free tumour DNA.
    Ludovini, Vienna
    Siggillino, Annamaria
    Reda, Maria Sole
    Bianconi, Fortunato
    Chiari, Rita
    Baglivo, Sara
    Pistola, Lorenza
    Tofanetti, Francesca Romana
    Matocci, Roberta
    Mencaroni, Clelia
    Metro, Giulio
    Bennati, Chiara
    Minotti, Vincenzo
    Crino, Lucio
    JOURNAL OF CLINICAL ONCOLOGY, 2016, 34 (15)
  • [36] Correlation of levels of cell-free DNA in plasma with imaging -based assessment in Stage III/IV Non-Small Cell Lung Cancer
    Kovelman, Robert
    Desmond, Patrick F.
    Kennel, Natalie J.
    Hinestrosa, Juan P.
    Christie, Ellen B.
    Ye, Delia
    Nguyen, Michelle M.
    Kinana, Alfred D.
    Schechter, Mark S.
    Chu, David
    Shah, Chirag M.
    Hlalah, Osama
    Doster, John E.
    Krishnan, Rajaram
    CANCER RESEARCH, 2019, 79 (13)
  • [37] Multiplex picoliter-droplet digital PCR for quantitative assessment of EGFR mutations in circulating cell-free DNA derived from advanced non-small cell lung cancer patients
    Yu, Qian
    Huang, Fei
    Zhang, Meilin
    Ji, Haiying
    Wu, Shenchao
    Zhao, Ying
    Zhang, Chunyan
    Wu, Jiong
    Wang, Beili
    Pan, Baisheng
    Zhang, Xin
    Guo, Wei
    MOLECULAR MEDICINE REPORTS, 2017, 16 (02) : 1157 - 1166
  • [38] Targeted sequencing of plasma cell-free DNA to predict response to PD1 inhibitors in advanced non-small cell lung cancer.
    Guibert, Nicolas
    Jones, Greg
    Beeler, John F.
    Morris, Clive D.
    Plagnol, Vincent
    Mourlanette, Jean
    Delaunay, Myriam
    Rouquette, Isabelle
    Favre, Gilles
    Pradines, Anne
    Mazieres, Julien
    JOURNAL OF CLINICAL ONCOLOGY, 2019, 37 (08)
  • [39] Absolute Quantification of Nucleotide Variants in Cell-Free DNA via Quantitative NGS: Clinical Application in Non-Small Cell Lung Cancer Patients
    Herbreteau, Guillaume
    Marcq, Marie
    Sauzay, Chloe
    Carpentier, Maxime
    Pierre-Noel, Elise
    Pons-Tostivint, Elvire
    Vallee, Audrey
    Theoleyre, Sandrine
    Bizieux, Acya
    Bennouna, Jaafar
    Denis, Marc G.
    CANCERS, 2025, 17 (05)
  • [40] Read Count Patterns and Detection of Cancerous Copy Number Alterations in Plasma Cell-Free DNA Whole Exome Sequencing Data for Advanced Non-Small Cell Lung Cancer
    Jang, Ho
    Choi, Chang-Min
    Lee, Seung-Hyeun
    Lee, Sungyong
    Jeong, Mi-Kyung
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2022, 23 (21)