Journal of Hematology & Oncology (Jan 2019)

Long non-coding RNAs defining major subtypes of B cell precursor acute lymphoblastic leukemia

  • Alva Rani James,
  • Michael P. Schroeder,
  • Martin Neumann,
  • Lorenz Bastian,
  • Cornelia Eckert,
  • Nicola Gökbuget,
  • Jutta Ortiz Tanchez,
  • Cornelia Schlee,
  • Konstandina Isaakidis,
  • Stefan Schwartz,
  • Thomas Burmeister,
  • Arend von Stackelberg,
  • Michael A. Rieger,
  • Stefanie Göllner,
  • Martin Horstman,
  • Martin Schrappe,
  • Renate Kirschner-Schwabe,
  • Monika Brüggemann,
  • Carsten Müller-Tidow,
  • Hubert Serve,
  • Altuna Akalin,
  • Claudia D. Baldus

DOI
https://doi.org/10.1186/s13045-018-0692-3
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 16

Abstract

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Abstract Background Long non-coding RNAs (lncRNAs) have emerged as a novel class of RNA due to its diverse mechanism in cancer development and progression. However, the role and expression pattern of lncRNAs in molecular subtypes of B cell acute lymphoblastic leukemia (BCP-ALL) have not yet been investigated. Here, we assess to what extent lncRNA expression and DNA methylation is driving the progression of relapsed BCP-ALL subtypes and we determine if the expression and DNA methylation profile of lncRNAs correlates with established BCP-ALL subtypes. Methods We performed RNA sequencing and DNA methylation (Illumina Infinium microarray) of 40 diagnosis and 42 relapse samples from 45 BCP-ALL patients in a German cohort and quantified lncRNA expression. Unsupervised clustering was applied to ascertain and confirm that the lncRNA-based classification of the BCP-ALL molecular subtypes is present in both our cohort and an independent validation cohort of 47 patients. A differential expression and differential methylation analysis was applied to determine the subtype-specific, relapse-specific, and differentially methylated lncRNAs. Potential functions of subtype-specific lncRNAs were determined by using co-expression-based analysis on nearby (cis) and distally (trans) located protein-coding genes. Results Using an integrative Bioinformatics analysis, we developed a comprehensive catalog of 1235 aberrantly dysregulated BCP-ALL subtype-specific and 942 relapse-specific lncRNAs and the methylation profile of three subtypes of BCP-ALL. The 1235 subtype-specific lncRNA signature represented a similar classification of the molecular subtypes of BCP-ALL in the independent validation cohort. We identified a strong correlation between the DUX4-specific lncRNAs and genes involved in the activation of TGF-β and Hippo signaling pathways. Similarly, Ph-like-specific lncRNAs were correlated with genes involved in the activation of PI3K-AKT, mTOR, and JAK-STAT signaling pathways. Interestingly, the relapse-specific lncRNAs correlated with the activation of metabolic and signaling pathways. Finally, we found 23 promoter methylated lncRNAs epigenetically facilitating their expression levels. Conclusion Here, we describe a set of subtype-specific and relapse-specific lncRNAs from three major BCP-ALL subtypes and define their potential functions and epigenetic regulation. The subtype-specific lncRNAs are reproducible and can effectively stratify BCP-ALL subtypes. Our data uncover the diverse mechanism of action of lncRNAs in BCP-ALL subtypes defining which lncRNAs are involved in the pathogenesis of disease and are relevant for the stratification of BCP-ALL subtypes.

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