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2 "Hee-Joon Chung"
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Comparison of the Data of a Next-Generation Sequencing Panel from K-MASTER Project with That of Orthogonal Methods for Detecting Targetable Genetic Alterations
Yoon Ji Choi, Jung Yoon Choi, Ju Won Kim, Ah Reum Lim, Youngwoo Lee, Won Jin Chang, Soohyeon Lee, Jae Sook Sung, Hee-Joon Chung, Jong Won Lee, Eun Joo Kang, Jung Sun Kim, Taekyu Lim, Hye Sook Kim, Yu Jung Kim, Mi Sun Ahn, Young Saing Kim, Ji Hyun Park, Seungtaek Lim, Sung Shim Cho, Jang Ho Cho, Sang Won Shin, Kyong Hwa Park, Yeul Hong Kim
Cancer Res Treat. 2022;54(1):30-39.   Published online May 20, 2021
DOI: https://doi.org/10.4143/crt.2021.218
AbstractAbstract PDFPubReaderePub
Purpose
K-MASTER project is a Korean national precision medicine platform that screened actionable mutations by analyzing next-generation sequencing (NGS) of solid tumor patients. We compared gene analyses between NGS panel from the K-MASTER project and orthogonal methods.
Materials and Methods
Colorectal, breast, non–small cell lung, and gastric cancer patients were included. We compared NGS results from K-MASTER projects with those of non-NGS orthogonal methods (KRAS, NRAS, and BRAF mutations in colorectal cancer [CRC]; epidermal growth factor receptor [EGFR], anaplastic lymphoma kinase [ALK] fusion, and reactive oxygen species 1 [ROS1] fusion in non–small cell lung cancer [NSCLC], and Erb-B2 receptor tyrosine kinase 2 (ERBB2) positivity in breast and gastric cancers).
Results
In the CRC cohort (n=225), the sensitivity and specificity of NGS were 87.4% and 79.3% (KRAS); 88.9% and 98.9% (NRAS); and 77.8% and 100.0% (BRAF), respectively. In the NSCLC cohort (n=109), the sensitivity and specificity of NGS for EGFR were 86.2% and 97.5%, respectively. The concordance rate for ALK fusion was 100%, but ROS1 fusion was positive in only one of three cases that were positive in orthogonal tests. In the breast cancer cohort (n=260), ERBB2 amplification was detected in 45 by NGS. Compared with orthogonal methods that integrated immunohistochemistry and in situ hybridization, sensitivity and specificity were 53.7% and 99.4%, respectively. In the gastric cancer cohort (n=64), ERBB2 amplification was detected in six by NGS. Compared with orthogonal methods, sensitivity and specificity were 62.5% and 98.2%, respectively.
Conclusion
The results of the K-MASTER NGS panel and orthogonal methods showed a different degree of agreement for each genetic alteration, but generally showed a high agreement rate.

Citations

Citations to this article as recorded by  
  • Genomic Profiling of Driver Gene Alterations in Patients With Non–Small Cell Lung Cancer, Patterns of Treatment and Impact on Survival Outcomes: A Single Center Experience of More Than 1200 Patients
    Minit Shah, Vanita Noronha, Vijay Patil, Ajay Kumar Singh, Nandini Menon, Supriya Goud, Srushti Shah, Sucheta More, Akhil Kapoor, Bal Krishna Mishra, Pratik Chandrani, Anuradha Chougule, Vinod Gupta, Priyanka Pange, Omshree Shetty, Trupti Pai, Rajiv Kaush
    Clinical Lung Cancer.2025; 26(4): e270.     CrossRef
  • Integrated clinical and genomic models using machine-learning methods to predict the efficacy of paclitaxel-based chemotherapy in patients with advanced gastric cancer
    Yonghwa Choi, Jangwoo Lee, Keewon Shin, Ji Won Lee, Ju Won Kim, Soohyeon Lee, Yoon Ji Choi, Kyong Hwa Park, Jwa Hoon Kim
    BMC Cancer.2024;[Epub]     CrossRef
  • Supporting Biomarker-Driven Therapies in Oncology: A Genomic Testing Cost Calculator
    Albrecht Stenzinger, Brian Cuffel, Noman Paracha, Eric Vail, Jesus Garcia-Foncillas, Clifford Goodman, Ulrik Lassen, Gilles Vassal, Sean D Sullivan
    The Oncologist.2023; 28(5): e242.     CrossRef
  • Genomic analysis of plasma circulating tumor DNA in patients with heavily pretreated HER2 + metastatic breast cancer
    Kyoungmin Lee, Jongwon Lee, Jungmin Choi, Sung Hoon Sim, Jeong Eun Kim, Min Hwan Kim, Yeon Hee Park, Jee Hyun Kim, Su-Jin Koh, Kyong Hwa Park, Myoung Joo Kang, Mi Sun Ahn, Kyoung Eun Lee, Hee-Jun Kim, Hee Kyung Ahn, Han Jo Kim, Keon Uk Park, In Hae Park
    Scientific Reports.2023;[Epub]     CrossRef
  • Recommendations for the Use of Next-Generation Sequencing and the Molecular Tumor Board for Patients with Advanced Cancer: A Report from KSMO and KCSG Precision Medicine Networking Group
    Shinkyo Yoon, Miso Kim, Yong Sang Hong, Han Sang Kim, Seung Tae Kim, Jihun Kim, Hongseok Yun, Changhoon Yoo, Hee Kyung Ahn, Hyo Song Kim, In Hee Lee, In-Ho Kim, Inkeun Park, Jae Ho Jeong, Jaekyung Cheon, Jin Won Kim, Jina Yun, Sun Min Lim, Yongjun Cha, Se
    Cancer Research and Treatment.2022; 54(1): 1.     CrossRef
  • 10,488 View
  • 268 Download
  • 6 Web of Science
  • 5 Crossref
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Gastrointestinal cancer
Clinical Application of Targeted Deep Sequencing in Metastatic Colorectal Cancer Patients: Actionable Genomic Alteration in K-MASTER Project
Youngwoo Lee, Soohyeon Lee, Jae Sook Sung, Hee-Joon Chung, Ah-reum Lim, Ju Won Kim, Yoon Ji Choi, Kyong Hwa Park, Yeul Hong Kim
Cancer Res Treat. 2021;53(1):123-130.   Published online August 18, 2020
DOI: https://doi.org/10.4143/crt.2020.559
AbstractAbstract PDFSupplementary MaterialPubReaderePub
Purpose
Next-generation sequencing (NGS) can facilitate precision medicine approaches in metastatic colorectal cancer (mCRC) patients. We investigated the molecular profiling of Korean mCRC patients under the K-MASTER project which was initiated in June 2017 as a nationwide precision medicine oncology clinical trial platform which used NGS assay to screen actionable mutations.
Materials and Methods
As of 22 January 2020, total of 994 mCRC patients were registered in K-MASTER project. Targeted sequencing was performed using three platforms which were composed of the K-MASTER cancer panel v1.1 and the SNUH FIRST Cancer Panel v3.01. If tumor tissue was not available, cell-free DNA was extracted and the targeted sequencing was performed by Axen Cancer Panel as a liquid biopsy.
Results
In 994 mCRC patients, we found 1,564 clinically meaningful pathogenic variants which mutated in 71 genes. Anti-EGFR therapy candidates were 467 patients (47.0%) and BRAF V600E mutation (n=47, 4.7%), deficient mismatch repair/microsatellite instability–high (n=15, 1.5%), HER2 amplifications (n=10, 1.0%) could be incorporated with recently approved drugs. The patients with high tumor mutation burden (n=101, 12.7%) and DNA damaging response and repair defect pathway alteration (n=42, 4.2%) could be enrolled clinical trials with immune checkpoint inhibitors. There were more colorectal cancer molecular alterations such as PIK3CA, KRAS G12C, atypical BRAF, and HER2 mutations and even rarer but actionable genes that approved or ongoing clinical trials in other solid tumors.
Conclusion
K-MASTER project provides an intriguing background to investigate new clinical trials with biomarkers and give therapeutic opportunity for mCRC patients.

Citations

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  • Machine Learning–Based Prognostic Gene Signature for Early Triple-Negative Breast Cancer
    Ju Won Kim, Jonghyun Lee, Sung Hak Lee, Sangjeong Ahn, Kyong Hwa Park
    Cancer Research and Treatment.2025; 57(3): 731.     CrossRef
  • Tumor mutational burden in colorectal cancer: Implications for treatment
    Adriana Marques, Patrícia Cavaco, Carla Torre, Bruno Sepodes, João Rocha
    Critical Reviews in Oncology/Hematology.2024; 197: 104342.     CrossRef
  • Integrated clinical and genomic models using machine-learning methods to predict the efficacy of paclitaxel-based chemotherapy in patients with advanced gastric cancer
    Yonghwa Choi, Jangwoo Lee, Keewon Shin, Ji Won Lee, Ju Won Kim, Soohyeon Lee, Yoon Ji Choi, Kyong Hwa Park, Jwa Hoon Kim
    BMC Cancer.2024;[Epub]     CrossRef
  • PIK3CA Mutation is Associated with Poor Response to HER2-Targeted Therapy in Breast Cancer Patients
    Ju Won Kim, Ah Reum Lim, Ji Young You, Jung Hyun Lee, Sung Eun Song, Nam Kwon Lee, Seung Pil Jung, Kyu Ran Cho, Cheol Yong Kim, Kyong Hwa Park
    Cancer Research and Treatment.2023; 55(2): 531.     CrossRef
  • Genomic analysis of plasma circulating tumor DNA in patients with heavily pretreated HER2 + metastatic breast cancer
    Kyoungmin Lee, Jongwon Lee, Jungmin Choi, Sung Hoon Sim, Jeong Eun Kim, Min Hwan Kim, Yeon Hee Park, Jee Hyun Kim, Su-Jin Koh, Kyong Hwa Park, Myoung Joo Kang, Mi Sun Ahn, Kyoung Eun Lee, Hee-Jun Kim, Hee Kyung Ahn, Han Jo Kim, Keon Uk Park, In Hae Park
    Scientific Reports.2023;[Epub]     CrossRef
  • Comparison of the Data of a Next-Generation Sequencing Panel from K-MASTER Project with That of Orthogonal Methods for Detecting Targetable Genetic Alterations
    Yoon Ji Choi, Jung Yoon Choi, Ju Won Kim, Ah Reum Lim, Youngwoo Lee, Won Jin Chang, Soohyeon Lee, Jae Sook Sung, Hee-Joon Chung, Jong Won Lee, Eun Joo Kang, Jung Sun Kim, Taekyu Lim, Hye Sook Kim, Yu Jung Kim, Mi Sun Ahn, Young Saing Kim, Ji Hyun Park, Se
    Cancer Research and Treatment.2022; 54(1): 30.     CrossRef
  • Genetic landscape of pancreatic adenocarcinoma patients: a pilot study from Pakistan
    Saleema Mehboob Ali, Yumna Adnan, Zubair Ahmad, Hasnain Ahmed Farooqui, Tabish Chawla, S. M. Adnan Ali
    Molecular Biology Reports.2022; 49(2): 1341.     CrossRef
  • Recommendations for the Use of Next-Generation Sequencing and the Molecular Tumor Board for Patients with Advanced Cancer: A Report from KSMO and KCSG Precision Medicine Networking Group
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    Cancer Research and Treatment.2022; 54(1): 1.     CrossRef
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  • 11,874 View
  • 365 Download
  • 14 Web of Science
  • 13 Crossref
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