Evidence map›Paper›PMID 31648321›Full record

ArticleBlood advances2019

Transcriptome analysis offers a comprehensive illustration of the genetic background of pediatric acute myeloid leukemia.

Norio Shiba, Kenichi Yoshida, Yusuke Hara, Genki Yamato, Yuichi Shiraishi, Hidemasa Matsuo, Yusuke Okuno, Kenichi Chiba, Hiroko Tanaka, Taeko Kaburagi and 15 more

Open access · goldAbstract read
In one paragraph

Article in Blood advances, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 4% 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

60 citing papers in PubMed, 1 synthesis or guideline pooled it, 81 citations in OpenAlex.

  1. Pooled it
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  20. Adverse prognostic impact ofHaematologica · 2025
    Article
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

25 authors at 14 institutions in 2 countries.

Norio ShibaDepartment of Pediatrics, Yokohama City University Hospital, Yokohama, Japan.
Kenichi YoshidaDepartment of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Yusuke HaraDepartment of Hematology/Oncology, Gunma Children's Medical Center, Shibukawa, Japan.
Genki YamatoDepartment of Hematology/Oncology, Gunma Children's Medical Center, Shibukawa, Japan.
Yuichi ShiraishiCenter for Cancer Genomics and Advanced Therapeutics, National Cancer Center, Tokyo, Japan.
Hidemasa MatsuoDepartment of Human Health Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Yusuke OkunoCenter for Advanced Medicine and Clinical Research, Nagoya University Hospital, Nagoya, Japan.
Kenichi ChibaCenter for Cancer Genomics and Advanced Therapeutics, National Cancer Center, Tokyo, Japan.
Hiroko TanakaLaboratory of Sequence Analysis, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan.
Taeko KaburagiDepartment of Hematology/Oncology, Gunma Children's Medical Center, Shibukawa, Japan.
Masanobu TakeuchiDepartment of Pediatrics, Yokohama City University Hospital, Yokohama, Japan.
Kentaro OhkiDepartment of Pediatric Hematology and Oncology Research, National Research Institute for Child Health and Development, Tokyo, Japan.
Masashi SanadaClinical Research Center, National Hospital Organization Nagoya Medical Center, Nagoya, Japan.
Jun OkuboDepartment of Hematology/Oncology, Gunma Children's Medical Center, Shibukawa, Japan.
Daisuke TomizawaDivision of Leukemia and Lymphoma, Children's Cancer Center, National Center for Child Health and Development, Tokyo, Japan.
Tomohiko TakiDepartment of Medical Technology, Kyorin University Faculty of Health Sciences, Mitaka, Japan.
Akira ShimadaDepartment of Pediatrics, Okayama University Graduate School of Medicine, Okayama, Japan.
Manabu SotomatsuDepartment of Hematology/Oncology, Gunma Children's Medical Center, Shibukawa, Japan.
Keizo HoribeClinical Research Center, National Hospital Organization Nagoya Medical Center, Nagoya, Japan.
Takashi TagaDepartment of Pediatrics, Shiga University of Medical Science, Ohtsu, Japan.
Souichi AdachiDepartment of Human Health Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Akio TawaDepartment of Pediatrics, National Hospital Organization Osaka National Hospital, Osaka, Japan.
Satoru MiyanoLaboratory of DNA Information, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan.
Seishi OgawaDepartment of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Yasuhide HayashiDepartment of Hematology/Oncology, Gunma Children's Medical Center, Shibukawa, Japan.
Kyoto University · JPGunma University · JPNational Center For Child Health and Development · JPNational Hospital Organization · JPTokyo University of Science · JPYokohama City University Hospital · JPGunma Children's Medical Center · JPHokkaido University · JPJobu University · JPKyorin University · JPNagoya University Hospital · JPOkayama University · JPOsaka National Hospital · JPShiga University of Medical Science · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advances in the genetic understanding of acute myeloid leukemia (AML) have improved clinical outcomes in pediatric patients. However, ∼40% of patients with pediatric AML relapse, resulting in a relatively low overall survival rate of ∼70%. The objective of this study was to reveal the comprehensive genetic background of pediatric AML. We performed transcriptome analysis (RNA sequencing [RNA-seq]) in 139 of the 369 patients with de novo pediatric AML who were enrolled in the Japanese Pediatric Leukemia/Lymphoma Study Group AML-05 trial and investigated correlations between genetic aberrations and clinical information. Using RNA-seq, we identified 54 in-frame gene fusions and 1 RUNX1 out-of-frame fusion in 53 of 139 patients. Moreover, we found at least 258 gene fusions in 369 patients (70%) through reverse transcription polymerase chain reaction and RNA-seq. Five gene rearrangements were newly identified, namely, NPM1-CCDC28A, TRIP12-NPM1, MLLT10-DNAJC1, TBL1XR1-RARB, and RUNX1-FNBP1. In addition, we found rare gene rearrangements, namely, MYB-GATA1, NPM1-MLF1, ETV6-NCOA2, ETV6-MECOM, ETV6-CTNNB1, RUNX1-PRDM16, RUNX1-CBFA2T2, and RUNX1-CBFA2T3. Among the remaining 111 patients, KMT2A-PTD, biallelic CEBPA, and NPM1 gene mutations were found in 11, 23, and 17 patients, respectively. These mutations were completely mutually exclusive with any gene fusions. RNA-seq unmasked the complexity of gene rearrangements and mutations in pediatric AML. We identified potentially disease-causing alterations in nearly all patients with AML, including novel gene fusions. Our results indicated that a subset of patients with pediatric AML represent a distinct entity that may be discriminated from their adult counterparts. Based on these results, risk stratification should be reconsidered.

Indexed as

Gene Expression ProfilingGenetic BackgroundGenetic Predisposition to DiseaseTranscriptomeAdolescentBiomarkers, TumorChildChild, PreschoolComputational BiologyFemaleGene Expression Regulation, LeukemicGenetic Association StudiesHumansInfantLeukemia, Myeloid, AcuteMaleBiomarkers, TumorNPM1 protein, humanNucleophosmin

Identifiers

PMID31648321
PMCPMC6849955
OpenAlexW2981878588

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.