ArticleBlood advances2019
Transcriptome analysis offers a comprehensive illustration of the genetic background of pediatric acute myeloid leukemia.
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.
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.
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.
Who cites it
60 citing papers in PubMed, 1 synthesis or guideline pooled it, 81 citations in OpenAlex.
- Prognostic factors and outcomes in pediatric acute myeloid leukemia: a comprehensive bibliometric analysis of global research trends.Frontiers in oncology · 2025Pooled it
- Epigenetics and In Silico Transcriptome Analysis of Pediatric Acute Myeloid Leukemia.European journal of haematology · 2026Review
- NPM1-rearranged AML: clinical features, molecular pathogenesis, and therapeutic perspectives.International journal of hematology · 2026Review
- PSMB8: an immune-related prognostic marker for low-grade gliomas.Translational cancer research · 2026Article
- A New Paradigm for Pediatric AML: Improving the Pipeline for Treatments Targeting Cytogenetic and Molecular Alterations.Cancers · 2026Review
- Multi-omics analysis of pediatric minimally differentiated acute myeloid leukemia reveals RUNX1-driven stemness and chemoresistance.Leukemia · 2026Article
- KIT and FLT3-ITD mutations do not predict outcomes in pediatric core-binding factor acute myeloid leukemia: findings from the C-HUANAN-AML-15 multicenter cohort study.Annals of hematology · 2026Article
- Comprehensive lincRNA Transcriptome in Acute Myeloid Leukemia: Integrating Known and Newly Identified lincRNAs Across Pediatric and Adult Cohorts.Non-coding RNA · 2026Article
- Genetic landscape of pediatric acute myeloid leukemia in Taiwan.Scientific reports · 2026Article
- ConcurrentOncoTargets and therapy · 2026Article
- Acute promyelocytic leukemia with a rare TBL1XR1::RARA fusion and distinctive morphologic and phenotypic attributes.Journal of hematopathology · 2025Article
- Review
- Metabolic reprogramming by PRDM16 drives cytarabine resistance in acute myeloid leukemia.Haematologica · 2025Article
- Concurrent NPM1::CCDC28A and BCR::ABL1 fusions in extramedullary blast crisis of chronic myeloid leukemia: A case report and literature review.Annals of hematology · 2025Review
- Characteristics and prognosis of paediatric normal karyotype acute myeloid leukaemia: A NOPHO-DBH AML study.British journal of haematology · 2025Article
- Classification of acute myeloid leukemia based on multi-omics and prognosis prediction value.Molecular oncology · 2025Article
- Insights into KMT2A rearrangements in acute myeloid leukemia: from molecular characteristics to targeted therapies.Biomarker research · 2025Review
- A case report of TBL1XR1-RARB positive pediatric acute promyelocytic leukemia and literature review.Frontiers in oncology · 2025Article
- NPM1-fusion proteins promote myeloid leukemogenesis through XPO1-dependent HOX activation.Leukemia · 2025Article
- Adverse prognostic impact ofHaematologica · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
25 authors at 14 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
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
Identifiers
What OpenQuestion holds
Registered trials
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.