Integrated analysis of relapsed B-cell precursor Acute Lymphoblastic Leukemia identifies subtype-specific cytokine and metabolic signatures View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Michael P. Schroeder, Lorenz Bastian, Cornelia Eckert, Nicola Gökbuget, Alva Rani James, Jutta Ortiz Tanchez, Cornelia Schlee, Konstandina Isaakidis, Björn Häupl, Katharina Baum, Oscar Arturo Migueles Lozano, Khouloud Kouidri, Kuan-Ting Pan, Henning Urlaub, Stefan Schwartz, Thomas Burmeister, Arend von Stackelberg, Dieter Hoelzer, Heike Pfeiffer, Michael A. Rieger, Stefanie Göllner, Thomas Oellerich, Martin Horstman, Martin Schrappe, Jana Wolf, Renate Kirschner-Schwabe, Monika Brüggemann, Carsten Müller-Tidow, Hubert Serve, Martin Neumann, Claudia D. Baldus

ABSTRACT

Recent efforts reclassified B-Cell Precursor Acute Lymphoblastic Leukemia (BCP-ALL) into more refined subtypes. Nevertheless, outcomes of relapsed BCP-ALL remain unsatisfactory, particularly in adult patients where the molecular basis of relapse is still poorly understood. To elucidate the evolution of relapse in BCP-ALL, we established a comprehensive multi-omics dataset including DNA-sequencing, RNA-sequencing, DNA methylation array and proteome MASS-spec data from matched diagnosis and relapse samples of BCP-ALL patients (n = 50) including the subtypes DUX4, Ph-like and two aneuploid subtypes. Relapse-specific alterations were enriched for chromatin modifiers, nucleotide and steroid metabolism including the novel candidates FPGS, AGBL and ZNF483. The proteome expression analysis unraveled deregulation of metabolic pathways at relapse including the key proteins G6PD, TKT, GPI and PGD. Moreover, we identified a novel relapse-specific gene signature specific for DUX4 BCP-ALL patients highlighting chemotaxis and cytokine environment as a possible driver event at relapse. This study presents novel insights at distinct molecular levels of relapsed BCP-ALL based on a comprehensive multi-omics integrated data set including a valuable proteomics data set. The relapse specific aberrations reveal metabolic signatures on genomic and proteomic levels in BCP-ALL relapse. Furthermore, the chemokine expression signature in DUX4 relapse underscores the distinct status of DUX4-fusion BCP-ALL. More... »

PAGES

4188

References to SciGraph publications

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41598-019-40786-1

    DOI

    http://dx.doi.org/10.1038/s41598-019-40786-1

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1112706522

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30862934


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