2023
DOI: 10.1097/hs9.0000000000000939
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The Gene Expression Classifier ALLCatchR Identifies B-cell Precursor ALL Subtypes and Underlying Developmental Trajectories Across Age

Thomas Beder,
Björn-Thore Hansen,
Alina M. Hartmann
et al.

Abstract: Current classifications (World Health Organization-HAEM5/ICC) define up to 26 molecular B-cell precursor acute lymphoblastic leukemia (BCP-ALL) disease subtypes by genomic driver aberrations and corresponding gene expression signatures. Identification of driver aberrations by transcriptome sequencing (RNA-Seq) is well established, while systematic approaches for gene expression analysis are less advanced. Therefore, we developed ALLCatchR, a machine learning-based classifier using RNA-Seq gene expression data … Show more

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Cited by 15 publications
(22 citation statements)
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“…It is consistent with previous reports, the non- IKZF1 plus group and IKZF1 plus group enriched in distinct hematopoietic lineage, including B lymphoid/myeloid lineage, early pro-B cells, and pre-B I/II large stages (Fig. 2A–C ) [ 9 , 10 ]. Using multiparameter flow cytometry [ 11 ], similar results at the protein expression level were validated (Fig.…”
supporting
confidence: 93%
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“…It is consistent with previous reports, the non- IKZF1 plus group and IKZF1 plus group enriched in distinct hematopoietic lineage, including B lymphoid/myeloid lineage, early pro-B cells, and pre-B I/II large stages (Fig. 2A–C ) [ 9 , 10 ]. Using multiparameter flow cytometry [ 11 ], similar results at the protein expression level were validated (Fig.…”
supporting
confidence: 93%
“…B ssGSEA score between IKZF1 plus and non- IKZF1 plus group, using gene signatures associated with three transcriptomic classes that correspond to early pro-B, pro-B and pre-B I differentiation stages in Kim et al [ 9 ]. C ssGSEA score between IKZF1 plus and non- IKZF1 plus group, using seven B lymphopoiesis stage-specific gene sets identified by Beder et al [ 10 ]. D Box plots illustrating expression of B lymphoid and myeloid lineage antigens between IKZF1 plus and non- IKZF1 plus group, as measured by multiparameter flow cytometry ( n = 135, 2 patients without flow cytometry results).…”
mentioning
confidence: 99%
“…Count matrices were generated by implementing the featurecounts function from the Rsubread v1.6.4 package. Transcript per million (TPM) normalized data was used to predict subtypes using the ALLCatchR classifier 20 . Subtypes were assigned by integrating information coming from aneuploidies, fusions, single nucleotides variants (SNVs) and ALLCatchR prediction.…”
Section: Discussionmentioning
confidence: 99%
“…(not assigned). For those cases with missing experimental data but assigned to a subtype with "high-confidence" by ALLCatchR 20 , the ALLCatchR prediction was used as final subtype.…”
Section: Discussionmentioning
confidence: 99%
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