ArticleThe Journal of molecular diagnostics : JMD2024
Transcriptome Sequencing Allows Comprehensive Genomic Characterization of Pediatric B-Acute Lymphoblastic Leukemia in an Academic Clinical Laboratory.
Article in The Journal of molecular diagnostics : JMD, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed, 18 citations in OpenAlex.
- Pitfalls and Challenges in the Detection of ZNF384 Rearrangements by Fluorescence in Situ Hybridization.Genes, chromosomes & cancer · 2026Article
- Transcriptomic remodeling of bone marrow mesenchymal stromal cells in pediatric B-cell acute lymphoblastic leukemia: a four-gene signature.Translational pediatrics · 2026Article
- Detection of Fusion Genes Using RNA Sequencing in Acute Leukemia.Annals of laboratory medicine · 2026Article
- Proof-of-concept study for the detection of somatic structural variant driver alterations using HiFi long-read sequencing in a pediatric leukemia cohort.NPJ genomic medicine · 2026Article
- Article
- Distribution of molecular subtypes in a Colombian cohort of patients with acute lymphoblastic leukemia using whole-transcriptome analysis.Frontiers in oncology · 2026Article
- CanID: A Robust and Accurate RNA-seq Expression-based Diagnostic Classification Scheme for Pediatric Malignancies.Genomics, proteomics & bioinformatics · 2025Article
- Review
- Data-driven discovery of gene expression markers distinguishing pediatric acute lymphoblastic leukemia subtypes.Molecular oncology · 2025Article
- RNA-sequencing: A reliable tool to unveil transcriptional landscape of paediatric B-other acute lymphoblastic leukaemia.British journal of haematology · 2025Article
- Error Reduction in Leukemia Machine Learning Classification With Conformal Prediction.JCO clinical cancer informatics · 2025Article
- Identification of a novel TOP2B::AFF2 fusion gene in B-cell acute lymphoblastic leukemia.Scientific reports · 2025Article
- Molecular characterization and biomarker identification in paediatric B-cell acute lymphoblastic leukaemia.Journal of cellular and molecular medicine · 2024Article
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10 authors at 2 institutions in 1 country.
Funding
Abstract
Studies have shown the power of transcriptome sequencing [RNA sequencing (RNA-Seq)] in identifying known and novel oncogenic drivers and molecular subtypes of B-acute lymphoblastic leukemia (B-ALL). The current study investigated whether the clinically validated RNA-Seq assay, coupled with a custom analysis pipeline, could be used for a comprehensive B-ALL classification. Following comprehensive clinical testing, RNA-Seq was performed on 76 retrospective B-ALL cases, 28 of which had known and 48 had undetermined subtype. Subtypes were accurately identified in all 28 known cases, and in 38 of 48 unknown cases (79%). The subtypes of the unknown cases included the following: PAX5alt (n = 12), DUX4-rearranged (n = 6), Philadelphia chromosome-like (n = 5), low hyperdiploid (n = 4), ETV6::RUNX1-like (n = 3), MEF2D-rearranged (n = 2), PAX5 P80R (n = 2), ZEB2/CEBP (n = 1), NUTM1-rearranged (n = 1), ZNF384-rearranged (n = 1), and TCF3::PBX1 (n = 1). In 15 of 38 cases (39%), classification based on expression profile was corroborated by detection of subtype-defining oncogenic drivers missed by clinical testing. RNA-Seq analysis also detected large copy number abnormalities, oncogenic hot-spot sequence variants, and intragenic IKZF1 deletions. This pilot study confirms the feasibility of implementing an RNA-Seq workflow for clinical diagnosis of molecular subtypes in pediatric B-ALL, reinforcing that RNA-Seq represents a promising global genomic assay for this heterogeneous leukemia.
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