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2 "Dae-Soon Son"
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Lung and Thoracic cancer
Clinical Validation of the Unparalleled Sensitivity of the Novel Allele-Discriminating Priming System Technology–Based EGFR Mutation Assay in Patients with Operable Non–Small Cell Lung Cancer
Il-Hyun Park, Dae-Soon Son, Yoon-La Choi, Ji-Hyeon Choi, Ji-Eun Park, Yeong Jeong Jeon, Minseob Cho, Hong Kwan Kim, Yong Soo Choi, Young Mog Shim, Jung Hee Kang, Suzy Park, Jinseon Lee, Sung-Hyun Kim, Byung-Chul Lee, Jhingook Kim
Cancer Res Treat. 2024;56(1):81-91.   Published online June 20, 2023
DOI: https://doi.org/10.4143/crt.2023.408
AbstractAbstract PDFSupplementary MaterialPubReaderePub
Purpose
Recently, we developed allele-discriminating priming system (ADPS) technology. This method increases the sensitivity of conventional quantitative polymerase chain reaction up to 100 folds, with limit of detection, 0.01%, with reinforced specificity. This prospective study aimed to develop and validate the accuracy of ADPS epidermal growth factor receptor (EGFR) Mutation Test Kit using clinical specimens.
Materials and Methods
In total 189 formalin-fixed paraffin-embedded tumor tissues resected from patients with non–small cell lung cancer were used to perform a comparative evaluation of the ADPS EGFR Mutation Test Kit versus the cobas EGFR Mutation Test v2, which is the current gold standard. When the two methods had inconsistent results, next-generation sequencing–based CancerSCAN was utilized as a referee.
Results
The overall agreement of the two methods was 97.4% (93.9%-99.1%); the positive percent agreement, 95.0% (88.7%-98.4%); and the negative percent agreement, 100.0% (95.9%-100.0%). EGFR mutations were detected at a frequency of 50.3% using the ADPS EGFR Mutation Test Kit and 52.9% using the cobas EGFR Mutation Test v2. There were 10 discrepant mutation calls between the two methods. CancerSCAN reproduced eight ADPS results. In two cases, mutant allele fraction was ultra-low at 0.02% and 0.06%, which are significantly below the limit of detection of the cobas assay and CancerSCAN. Based on the EGFR genotyping by ADPS, the treatment options could be switched in five patients.
Conclusion
The highly sensitive and specific ADPS EGFR Mutation Test Kit would be useful in detecting the patients who have lung cancer with EGFR mutation, and can benefit from the EGFR targeted therapy.

Citations

Citations to this article as recorded by  
  • Highly Sensitive 3D‐Nanoplasmonic‐Based Epidermal Growth Factor Receptor Mutation Multiplex Assay Chip for Liquid Biopsy
    Ji Young Lee, Byeong‐Ho Jeong, Ho Sang Jung, Taejoon Kang, Yeonkyung Park, Jin Kyung Rho, Sung‐Gyu Park, Min‐Young Lee
    Small Science.2024;[Epub]     CrossRef
  • The Advantage of Targeted Next-Generation Sequencing over qPCR in Testing for Druggable EGFR Variants in Non-Small-Cell Lung Cancer
    Adam Szpechcinski, Joanna Moes-Sosnowska, Paulina Skronska, Urszula Lechowicz, Magdalena Pelc, Malgorzata Szolkowska, Piotr Rudzinski, Emil Wojda, Krystyna Maszkowska-Kopij, Renata Langfort, Tadeusz Orlowski, Pawel Sliwinski, Mateusz Polaczek, Joanna Chor
    International Journal of Molecular Sciences.2024; 25(14): 7908.     CrossRef
  • 3,969 View
  • 280 Download
  • 2 Web of Science
  • 2 Crossref
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Clinical Targeted Next-Generation sequencing Panels for Detection of Somatic Variants in Gliomas
Hyemi Shin, Jason K. Sa, Joon Seol Bae, Harim Koo, Seonwhee Jin, Hee Jin Cho, Seung Won Choi, Jong Min Kyoung, Ja Yeon Kim, Yun Jee Seo, Je-Gun Joung, Nayoung K. D. Kim, Dae-Soon Son, Jongsuk Chung, Taeseob Lee, Doo-Sik Kong, Jung Won Choi, Ho Jun Seol, Jung-Il Lee, Yeon-Lim Suh, Woong-Yang Park, Do-Hyun Nam
Cancer Res Treat. 2020;52(1):41-50.   Published online May 7, 2019
DOI: https://doi.org/10.4143/crt.2019.036
AbstractAbstract PDFSupplementary MaterialPubReaderePub
Purpose
Targeted next-generation sequencing (NGS) panels for solid tumors have been useful in clinical framework for accurate tumor diagnosis and identifying essential molecular aberrations. However, most cancer panels have been designed to address a wide spectrum of pan-cancer models, lacking integral prognostic markers that are highly specific to gliomas.
Materials and Methods
To address such challenges, we have developed a glioma-specific NGS panel, termed “GliomaSCAN,” that is capable of capturing single nucleotide variations and insertion/deletion, copy number variation, and selected promoter mutations and structural variations that cover a subset of intron regions in 232 essential glioma-associated genes. We confirmed clinical concordance rate using pairwise comparison of the identified variants from whole exome sequencing (WES), immunohistochemical analysis, and fluorescence in situ hybridization.
Results
Our panel demonstrated high sensitivity in detecting potential genomic variants that were present in the standard materials. To ensure the accuracy of our targeted sequencing panel, we compared our targeted panel to WES. The comparison results demonstrated a high correlation. Furthermore, we evaluated clinical utility of our panel in 46 glioma patients to assess the detection capacity of potential actionable mutations. Thirty-two patients harbored at least one recurrent somatic mutation in clinically actionable gene.
Conclusion
We have established a glioma-specific cancer panel. GliomaSCAN highly excelled in capturing somatic variations in terms of both sensitivity and specificity and provided potential clinical implication in facilitating genome-based clinical trials. Our results could provide conceptual advance towards improving the response of genomically guided molecularly targeted therapy in glioma patients.

Citations

Citations to this article as recorded by  
  • Comparative genomic landscape of lower-grade glioma and glioblastoma
    Xinxin Sun, Qingbin Jia, Kun Li, Conghui Tian, Lili Yi, Lili Yan, Juan Zheng, Xiaodong Jia, Mingliang Gu, Michael C. Burger
    PLOS ONE.2024; 19(8): e0309536.     CrossRef
  • Actionable molecular alterations in newly diagnosed and recurrent IDH1/2 wild-type glioblastoma patients and therapeutic implications: a large mono-institutional experience using extensive next-generation sequencing analysis
    Marta Padovan, Marta Maccari, Alberto Bosio, Chiara De Toni, Salvatore Vizzaccaro, Ilaria Cestonaro, Martina Corrà, Mario Caccese, Giulia Cerretti, Vittorina Zagonel, Giuseppe Lombardi
    European Journal of Cancer.2023; 191: 112959.     CrossRef
  • GPX8 regulates pan-apoptosis in gliomas to promote microglial migration and mediate immunotherapy responses
    Zigui Chen, Dandan Zheng, Ziren Lin, Chunyuan Zhang, Cheng Wei, Xiandong Deng, Peng Yan, Chuanhua Zheng, Chuanliu Lan, Chengjian Qin, Xuanlei Wei, Deling Qin, Yongfang Wu, Jun Peng, Changfeng Miao, Liuxue Lu, Ying Xia, Qisheng Luo
    Frontiers in Immunology.2023;[Epub]     CrossRef
  • Comprehensive clinical assays for molecular diagnostics of gliomas: the current state and future prospects
    Alina Penkova, Olga Kuziakova, Valeriia Gulaia, Vladlena Tiasto, Nikolay V. Goncharov, Daria Lanskikh, Valeriia Zhmenia, Ivan Baklanov, Vladislav Farniev, Vadim Kumeiko
    Frontiers in Molecular Biosciences.2023;[Epub]     CrossRef
  • A rapid, multiplex digital PCR assay to detect gene variants and fusions in non‐small cell lung cancer
    Bryan Leatham, Katie McNall, Hari K. K. Subramanian, Lucien Jacky, John Alvarado, Dominic Yurk, Mimi Wang, Donald C. Green, Gregory J. Tsongalis, Aditya Rajagopal, Jerrod J. Schwartz
    Molecular Oncology.2023; 17(11): 2221.     CrossRef
  • Next generation sequencing in adult patients with glioblastoma in Switzerland: a multi-centre decision analysis
    A. M. Zeitlberger, P. M. Putora, S. Hofer, P. Schucht, D. Migliorini, A. F. Hottinger, U. Roelcke, H. Läubli, P. Spina, O. Bozinov, M. Weller, M. C. Neidert, T. Hundsberger
    Journal of Neuro-Oncology.2022; 158(3): 359.     CrossRef
  • Targeted next‐generation sequencing of adult gliomas for retrospective prognostic evaluation and up‐front diagnostics
    J. K. Petersen, H. B. Boldt, M. D. Sørensen, S. Blach, R. H. Dahlrot, S. Hansen, M. Burton, M. Thomassen, T. Kruse, F. R. Poulsen, L. Andreasen, H. Hager, B. P. Ulhøi, S. Lukacova, G. Reifenberger, B. W. Kristensen
    Neuropathology and Applied Neurobiology.2021; 47(1): 108.     CrossRef
  • Development of MR-based preoperative nomograms predicting DNA copy number subtype in lower grade gliomas with prognostic implication
    Siwei Zhang, Shanshan Wu, Yun Wan, Yongsong Ye, Ying Zhang, Zelan Ma, Quanlan Guo, Hongdan Zhang, Li Xu
    European Radiology.2021; 31(4): 2094.     CrossRef
  • Comprehensive Molecular Characterization of Chinese Patients with Glioma by Extensive Next-Generation Sequencing Panel Analysis
    Chun Zeng, Jing Wang, Mingwei Li, Huina Wang, Feng Lou, Shanbo Cao, Changyu Lu
    Cancer Management and Research.2021; Volume 13: 3573.     CrossRef
  • Analyzing Genetic Differences Between Sporadic Primary and Secondary/Tertiary Hyperparathyroidism by Targeted Next-Generation Panel Sequencing
    Yu Ah Hong, Ki Cheol Park, Bong Kyun Kim, Jina Lee, Woo Young Sun, Hae Joung Sul, Kyung-Ah Hwang, Won Jung Choi, Yoon-Kyung Chang, Suk Young Kim, Soyoung Shin, Joonhong Park
    Endocrine Pathology.2021; 32(4): 501.     CrossRef
  • Multisite verification of the accuracy of a multi-gene next generation sequencing panel for detection of mutations and copy number alterations in solid tumours
    John Bartlett, Yutaka Amemiya, Heleen Arts, Jane Bayani, Barry Eng, Daria Grafodatskaya, Suzanne Kamel Reid, Mathieu Lariviere, Bryan Lo, Rebecca McClure, Vinay Mittal, Bekim Sadikovic, Seth Sadis, Arun Seth, Jeff Smith, Xiao Zhang, Harriet Feilotter, Alv
    PLOS ONE.2021; 16(10): e0258188.     CrossRef
  • Development and validation of an expanded targeted sequencing panel for non-invasive prenatal diagnosis of sporadic skeletal dysplasia
    Ching-Yuan Wang, Yen-An Tang, I-Wen Lee, Fong-Ming Chang, Chun-Wei Chien, Hsien-An Pan, H. Sunny Sun
    BMC Medical Genomics.2021;[Epub]     CrossRef
  • Therapeutic Efficacy of GC1118, a Novel Anti-EGFR Antibody, against Glioblastoma with High EGFR Amplification in Patient-Derived Xenografts
    Kyoungmin Lee, Harim Koo, Yejin Kim, Donggeon Kim, Eunju Son, Heekyoung Yang, Yangmi Lim, Minkyu Hur, Hye Won Lee, Seung Won Choi, Do-Hyun Nam
    Cancers.2020; 12(11): 3210.     CrossRef
  • 11,760 View
  • 477 Download
  • 15 Web of Science
  • 13 Crossref
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