Evidence map›Paper›PMID 26771813›Full record

ArticleBlood cancer journal2016

Significance of KIT exon 17 mutation depends on mutant level rather than positivity in core-binding factor acute myeloid leukemia.

W Jang, J-H Yoon, J Park, G D Lee, J Kim, A Kwon, H Choi, K Han, C H Nahm, H-J Kim and 3 more

Abstract read
In one paragraph

Article in Blood cancer journal, 2016. 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
–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

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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.

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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

13 authors.

W JangDepartment of Laboratory Medicine, College of Medicine, Seoul St Mary's Hospital, The Catholic University of Korea, Seoul, Korea.
J-H YoonDepartment of Hematology, Catholic Blood and Marrow Transplantation Center, Seoul St Mary's Hospital, The Catholic University of Korea, Seoul, Korea.
J ParkDepartment of Laboratory Medicine, College of Medicine, Seoul St Mary's Hospital, The Catholic University of Korea, Seoul, Korea.
G D LeeCatholic Genetic Laboratory Center, College of Medicine, Seoul St Mary's Hospital, The Catholic University of Korea, Seoul, Korea.
J KimCatholic Genetic Laboratory Center, College of Medicine, Seoul St Mary's Hospital, The Catholic University of Korea, Seoul, Korea.
A KwonCatholic Genetic Laboratory Center, College of Medicine, Seoul St Mary's Hospital, The Catholic University of Korea, Seoul, Korea.
H ChoiCatholic Genetic Laboratory Center, College of Medicine, Seoul St Mary's Hospital, The Catholic University of Korea, Seoul, Korea.
K HanDepartment of Laboratory Medicine, College of Medicine, Seoul St Mary's Hospital, The Catholic University of Korea, Seoul, Korea.
C H NahmDepartment of Laboratory Medicine, College of Medicine, Inha University, Incheon, Korea.
H-J KimDepartment of Hematology, Catholic Blood and Marrow Transplantation Center, Seoul St Mary's Hospital, The Catholic University of Korea, Seoul, Korea.
W-S MinDepartment of Hematology, Catholic Blood and Marrow Transplantation Center, Seoul St Mary's Hospital, The Catholic University of Korea, Seoul, Korea.
M KimDepartment of Laboratory Medicine, College of Medicine, Seoul St Mary's Hospital, The Catholic University of Korea, Seoul, Korea.
Y KimDepartment of Laboratory Medicine, College of Medicine, Seoul St Mary's Hospital, The Catholic University of Korea, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

KIT exon 17 mutation is a poor prognostic factor in core-binding factor acute myeloid leukemia. However, the mutation detection method used for risk assessment is not assigned. It is necessary to verify the analytical and clinical performance before applying new methods. Herein, we firstly applied a highly sensitive allele-specific, real-time quantitative PCR (AS-qPCR) assay to analyze KIT mutations, which demonstrated excellent sensitivity and specificity. Much higher incidence of KIT mutations (62.2%, 69/111) and prevalence of multiple mutations (43.5%, 30/69) were observed using AS-qPCR, which meant the existence of multiple KIT mutant subclones. The relative KIT mutant level was variable (median, 0.3 per control allele 100 copies, 0.002-532.7) and was divided into two groups: high (⩾10, n=26) and low (<10) mutant level. Interestingly, rather than mutation positivity, mutant level was found to be associated with clinical outcome. High mutant level showed significantly inferior overall survival (P=0.005) and event-free survival (P=0.03), whereas low level did not influence the prognosis. The follow-up data showed that the mutant level were along with fusion transcripts in the majority (n=29), but moved separately in some cases, including the loss of mutations (n=5) and selective proliferation of minor clones (n=2) at relapse. This study highlighted that the KIT mutation should be analyzed using sensitive and quantitative techniques and set a cutoff level for identifying the risk group.

Indexed as

ExonsMutationAdolescentAdultAgedAllelesBiopsyBone MarrowCore Binding FactorsFemaleGenetic TestingHumansIncidenceLeukemia, Myeloid, AcuteMaleMiddle AgedCore Binding FactorsProto-Oncogene Proteins c-kit

Identifiers

PMID26771813
PMCPMC4742633

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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.