Evidence map›Paper›PMID 34015890›Full record

ArticleCancer research and treatment2022

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 and 14 more

Open access · diamondAbstract readComparative Study
In one paragraph

Article in Cancer research and treatment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 32% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors at 11 institutions in 2 countries.

Yoon Ji ChoiDivision of Oncology, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea.
Jung Yoon ChoiDivision of Oncology, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea.
Ju Won KimDivision of Oncology, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea.
Ah Reum LimDivision of Oncology, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea.
Youngwoo LeeDivision of Oncology, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea.
Won Jin ChangDivision of Oncology, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea.
Soohyeon LeeDivision of Oncology, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea.
Jae Sook SungCancer Precision Medicine Diagnosis and Treatment Enterprise, Korea University Anam Hospital, Seoul, Korea.
Hee-Joon ChungCancer Precision Medicine Diagnosis and Treatment Enterprise, Korea University Anam Hospital, Seoul, Korea.
Jong Won LeeBrain Korea 21 Plus Project for Biomedical Science, Korea University College of Medicine, Seoul, Korea.
Eun Joo KangDivision of Oncology, Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea.
Jung Sun KimDivision of Oncology, Department of Internal Medicine, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Korea.
Taekyu LimDivision of Hematology-Oncology, Department of Internal Medicine, Veterans Health Service Medical Center, Seoul, Korea.
Hye Sook KimDepartment of Internal Medicine, Inje University Ilsan Hospital, Goyang, Korea.
Yu Jung KimDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea.
Mi Sun AhnAjou University Medical Center, Suwon, Korea.
Young Saing KimDivision of Medical Oncology, Department of Internal Medicine, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea.
Ji Hyun ParkDepartment of Hemato-Oncology, Konkuk Medical Center, University of Konkuk College of Medicine, Seoul, Korea.
Seungtaek LimDepartment of Oncology, Wonju Severance Christian Hospital, Wonju, Korea.
Sung Shim ChoDivision of Medical Oncology, Department of Internal Medicine, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Suwon, Korea.
Jang Ho ChoDivision of Oncology, Department of Internal Medicine, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Incheon, Korea.
Sang Won ShinDivision of Oncology, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea.
Kyong Hwa ParkDivision of Oncology, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea.
Yeul Hong KimDivision of Oncology, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea.
Korea University · KRAjou University · KRAnsan University · KRGachon University Gil Medical Center · KRInje University Ilsan Paik Hospital · KRKonkuk University Medical Center · KRKorea University Medical Center · KRThe Catholic University of Korea Incheon St. Mary's Hospital · KRThe Catholic University of Korea St. Vincent's Hospital · KRVeterans Health Service Medical Center · KRWonju Severance Christian Hospital · KR

Funding

Korea Health Industry Development InstituteKorea University K1625571Ministry of Health and Welfare HI17C2206
6 · The paper itself

Abstract

purposeK-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

methodsColorectal, 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).

resultsIn 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.

conclusionThe 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.

Indexed as

Breast NeoplasmsColorectal NeoplasmsFemaleHigh-Throughput Nucleotide SequencingHumansLung NeoplasmsMalePrecision MedicineRepublic of KoreaSensitivity and SpecificitySmall Cell Lung CarcinomaStomach NeoplasmsTargeted Gene RepairHigh-throughput nucleotide sequencingMolecularPathologyPrecision medicineTargetable gene alteration

Identifiers

PMID34015890
PMCPMC8756135
OpenAlexW3161260780

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.