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The Gene Expression Classifier ALLCatchR Identifies B-cell Precursor ALL Subtypes and Underlying Developmental Trajectories Across Age.
Beder, Thomas; Hansen, Björn-Thore; Hartmann, Alina M; Zimmermann, Johannes; Amelunxen, Eric; Wolgast, Nadine; Walter, Wencke; Zaliova, Marketa; Antic, Zeljko; Chouvarine, Philippe; Bartsch, Lorenz; Barz, Malwine J; Bultmann, Miriam; Horns, Johanna; Bendig, Sonja; Kässens, Jan; Kaleta, Christoph; Cario, Gunnar; Schrappe, Martin; Neumann, Martin; Gökbuget, Nicola; Bergmann, Anke Katharina; Trka, Jan; Haferlach, Claudia; Brüggemann, Monika; Baldus, Claudia D; Bastian, Lorenz.
Afiliación
  • Beder T; Medical Department II, Hematology and Oncology, University Hospital Schleswig-Holstein, Kiel, Germany.
  • Hansen BT; Medical Department II, Hematology and Oncology, University Hospital Schleswig-Holstein, Kiel, Germany.
  • Hartmann AM; Medical Department II, Hematology and Oncology, University Hospital Schleswig-Holstein, Kiel, Germany.
  • Zimmermann J; Clinical Research Unit "CATCH ALL" (KFO 5010/1) funded by the Deutsche Forschungsgemeinschaft, Bonn, Germany.
  • Amelunxen E; Institute of Experimental Medicine, Research Group Medical Systems Biology, Christian-Albrechts-University Kiel, Germany.
  • Wolgast N; Medical Department II, Hematology and Oncology, University Hospital Schleswig-Holstein, Kiel, Germany.
  • Walter W; Medical Department II, Hematology and Oncology, University Hospital Schleswig-Holstein, Kiel, Germany.
  • Zaliova M; Clinical Research Unit "CATCH ALL" (KFO 5010/1) funded by the Deutsche Forschungsgemeinschaft, Bonn, Germany.
  • Antic Z; MLL Munich Leukemia Laboratory, Munich, Germany.
  • Chouvarine P; Childhood Leukaemia Investigation Prague, Second Faculty of Medicine, Charles University and University Hospital Motol, Prague, Czech Republic.
  • Bartsch L; Department of Human Genetics, Hannover Medical School (MHH), Hannover, Germany.
  • Barz MJ; Department of Human Genetics, Hannover Medical School (MHH), Hannover, Germany.
  • Bultmann M; Medical Department II, Hematology and Oncology, University Hospital Schleswig-Holstein, Kiel, Germany.
  • Horns J; Medical Department II, Hematology and Oncology, University Hospital Schleswig-Holstein, Kiel, Germany.
  • Bendig S; Clinical Research Unit "CATCH ALL" (KFO 5010/1) funded by the Deutsche Forschungsgemeinschaft, Bonn, Germany.
  • Kässens J; Medical Department II, Hematology and Oncology, University Hospital Schleswig-Holstein, Kiel, Germany.
  • Kaleta C; Medical Department II, Hematology and Oncology, University Hospital Schleswig-Holstein, Kiel, Germany.
  • Cario G; Medical Department II, Hematology and Oncology, University Hospital Schleswig-Holstein, Kiel, Germany.
  • Schrappe M; Clinical Research Unit "CATCH ALL" (KFO 5010/1) funded by the Deutsche Forschungsgemeinschaft, Bonn, Germany.
  • Neumann M; Medical Department II, Hematology and Oncology, University Hospital Schleswig-Holstein, Kiel, Germany.
  • Gökbuget N; Institute of Experimental Medicine, Research Group Medical Systems Biology, Christian-Albrechts-University Kiel, Germany.
  • Bergmann AK; Clinical Research Unit "CATCH ALL" (KFO 5010/1) funded by the Deutsche Forschungsgemeinschaft, Bonn, Germany.
  • Trka J; Department of Pediatrics, University Hospital Schleswig-Holstein Kiel, Germany.
  • Haferlach C; Clinical Research Unit "CATCH ALL" (KFO 5010/1) funded by the Deutsche Forschungsgemeinschaft, Bonn, Germany.
  • Brüggemann M; Department of Pediatrics, University Hospital Schleswig-Holstein Kiel, Germany.
  • Baldus CD; Medical Department II, Hematology and Oncology, University Hospital Schleswig-Holstein, Kiel, Germany.
  • Bastian L; Clinical Research Unit "CATCH ALL" (KFO 5010/1) funded by the Deutsche Forschungsgemeinschaft, Bonn, Germany.
Hemasphere ; 7(9): e939, 2023 Sep.
Article en En | MEDLINE | ID: mdl-37645423
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 to allocate BCP-ALL samples to all 21 gene expression-defined molecular subtypes. Trained on n = 1869 transcriptome profiles with established subtype definitions (4 cohorts; 55% pediatric / 45% adult), ALLCatchR allowed subtype allocation in 3 independent hold-out cohorts (n = 1018; 75% pediatric / 25% adult) with 95.7% accuracy (averaged sensitivity across subtypes 91.1% / specificity 99.8%). High-confidence predictions were achieved in 83.7% of samples with 98.9% accuracy. Only 1.2% of samples remained unclassified. ALLCatchR outperformed existing tools and identified novel driver candidates in previously unassigned samples. Additional modules provided predictions of samples blast counts, patient's sex, and immunophenotype, allowing the imputation in cases where these information are missing. We established a novel RNA-Seq reference of human B-lymphopoiesis using 7 FACS-sorted progenitor stages from healthy bone marrow donors. Implementation in ALLCatchR enabled projection of BCP-ALL samples to this trajectory. This identified shared proximity patterns of BCP-ALL subtypes to normal lymphopoiesis stages, extending immunophenotypic classifications with a novel framework for developmental comparisons of BCP-ALL. ALLCatchR enables RNA-Seq routine application for BCP-ALL diagnostics with systematic gene expression analysis for accurate subtype allocation and novel insights into underlying developmental trajectories.

Texto completo: 1 Colección: 01-internacional Idioma: En Revista: Hemasphere Año: 2023 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Colección: 01-internacional Idioma: En Revista: Hemasphere Año: 2023 Tipo del documento: Article País de afiliación: Alemania