Evidence map›Paper›PMID 29690749›Full record

ArticleCancer research and treatment2019

Landscape of Actionable Genetic Alterations Profiled from 1,071 Tumor Samples in Korean Cancer Patients.

Se-Hoon Lee, Boram Lee, Joon Ho Shim, Kwang Woo Lee, Jae Won Yun, Sook-Young Kim, Tae-You Kim, Yeul Hong Kim, Young Hyeh Ko, Hyun Cheol Chung and 20 more

Abstract readMulticenter Study
In one paragraph

Article in Cancer research and treatment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

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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

30 authors.

Se-Hoon LeeDivision of Hematology and Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Boram LeeDepartment of Health Science and Technology, Samsung Advanced Institute of Health Science and Technology, Sungkyunkwan University, Seoul, Korea.
Joon Ho ShimDepartment of Health Science and Technology, Samsung Advanced Institute of Health Science and Technology, Sungkyunkwan University, Seoul, Korea.
Kwang Woo LeeSamsung Genome Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Jae Won YunDepartment of Health Science and Technology, Samsung Advanced Institute of Health Science and Technology, Sungkyunkwan University, Seoul, Korea.
Sook-Young KimSamsung Genome Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Tae-You KimDepartment of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
Yeul Hong KimDepartment of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea.
Young Hyeh KoDepartment of Pathology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Hyun Cheol ChungDivision of Medical Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Korea.
Chang Sik YuDepartment of Colon & Rectal Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Jeeyun LeeDivision of Hematology and Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Sun Young RhaDivision of Medical Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Korea.
Tae Won KimDepartment of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Kyung Hae JungDepartment of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Seock-Ah ImDepartment of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
Hyeong-Gon MoonDepartment of Surgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
Sukki ChoDepartment of Thoracic and Cardiovascular Surgery, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea.
Jin Hyoung KangDepartment of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Jihun KimDepartment of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Sang Kyum KimDepartment of Pathology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
Han Suk RyuDepartment of Pathology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
Sang Yun HaDepartment of Pathology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Jong Il KimDepartment of Biochemistry and Molecular Biology, Seoul National University College of Medicine, Seoul, Korea.
Yeun-Jun ChungDepartment of Microbiology, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Cheolmin KimDepartment of Medical Informatics, Pusan National University School of Medicine, Yangsan, Korea.
Hyung-Lae KimDepartment of Biochemistry, Ewha Womans University School of Medicine, Seoul, Korea.
Woong-Yang ParkDepartment of Health Science and Technology, Samsung Advanced Institute of Health Science and Technology, Sungkyunkwan University, Seoul, Korea.
Dong-Young NohDepartment of Surgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
Keunchil ParkDivision of Hematology and Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.

Funding

Korea Health Industry Development InstituteMinistry of Food and Drug Safety 16173MFDS004Ministry of Health and Welfare HI13C2096Ministry of Health and Welfare HI14C0072
6 · The paper itself

Abstract

purposeWith the emergence of next-generation sequencing (NGS) technology, profiling a wide range of genomic alterations has become a possibility resulting in improved implementation of targeted cancer therapy. In Asian populations, the prevalence and spectrum of clinically actionable genetic alterations has not yet been determined because of a lack of studies examining high-throughput cancer genomic data. MATERIALS AND

methodsTo address this issue, 1,071 tumor samples were collected from five major cancer institutes in Korea and analyzed using targeted NGS at a centralized laboratory. Samples were either fresh frozen or formalin-fixed, paraffin embedded (FFPE) and the quality and yield of extracted genomic DNA was assessed. In order to estimate the effect of sample condition on the quality of sequencing results, tissue preparation method, specimen type (resected or biopsied) and tissue storage time were compared.

resultsWe detected 7,360 non-synonymous point mutations, 1,164 small insertions and deletions, 3,173 copy number alterations, and 462 structural variants. Fifty-four percent of tumors had one or more clinically relevant genetic mutation. The distribution of actionable variants was variable among different genes. Fresh frozen tissues, surgically resected specimens, and recently obtained specimens generated superior sequencing results over FFPE tissues, biopsied specimens, and tissues with long storage duration.

conclusionIn order to overcome, challenges involved in bringing NGS testing into routine clinical use, a centralized laboratory model was designed that could improve the NGS workflows, provide appropriate turnaround times and control costs with goal of enabling precision medicine.

Indexed as

MutationDNA, NeoplasmGene AmplificationGenetic Predisposition to DiseaseHigh-Throughput Nucleotide SequencingHumansNeoplasmsPrecision MedicineRepublic of KoreaSequence Analysis, DNATissue FixationDNA, NeoplasmActionable genetic alterationCancer genomicsNext generation sequencingPrecision medicineTargeted panel sequencing

Identifiers

PMID29690749
PMCPMC6333975

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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.