Inviting an author to review:
Find an author and click ‘Invite to review selected article’ near their name.
Search for authorsSearch for similar articles
26
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Detection of an activated JAK3 variant and a Xq26.3 microdeletion causing loss of PHF6 and miR-424 expression in myelodysplastic syndromes by combined targeted next generation sequencing and SNP array analysis.

      Read this article at

      ScienceOpenPublisherPubMed
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Myelodysplastic syndromes (MDS) are hematopoietic disorders characterized by ineffective hematopoiesis and progression to acute leukemia. In patients ineligible for hematopoietic stem cell transplantation, azacitidine is the only treatment shown to prolong survival. However, with the availability of a growing compendium of cancer biomarkers and related drugs, analysis of relevant genetic alterations for individual MDS patients might become part of routine evaluation. Therefore and in order to cover the entire bone marrow microenvironment involved in the pathogenesis of MDS, SNP array analysis and targeted next generation sequencing (tNGS) for the mostly therapy relevant 46 onco- and tumor-suppressor genes were performed on bone marrow biopsies from 29 MDS patients. In addition to the detection of mutations known to be associated with MDS in NRAS, KRAS, MPL, NPM1, IDH1, PTPN11, APC and MET, single nucleotide variants so far unrelated to MDS in STK11 (n=1), KDR (n=3), ATM (n=1) and JAK3 (n=2) were identified. Moreover, a recurrent microdeletion was detected in Xq26.3 (n=2), causing loss of PHF6 expression, a potential tumor suppressor gene, and the miR-424, which is involved in the development of acute myeloid leukemia. Finally, combined genetic aberrations affecting the VEGF/VEGFR pathway were found in the majority of cases demonstrating the diversity of mutations affecting different nodes of a particular signaling network as an intrinsic feature in MDS patients. We conclude that combined SNP array analyses and tNGS can identify established and novel therapy relevant genomic aberrations in MDS patients and track them in a clinical setting for individual therapy selection.

          Related collections

          Author and article information

          Journal
          Pathol. Res. Pract.
          Pathology, research and practice
          Elsevier BV
          1618-0631
          0344-0338
          Jun 2014
          : 210
          : 6
          Affiliations
          [1 ] Institute of Pathology, University Hospital Gießen and Marburg, Gießen, Germany.
          [2 ] Department of Internal Medicine V, University Hospital Gießen and Marburg, Gießen, Germany.
          [3 ] Ambulance for Hematology, Gießen, Germany.
          [4 ] Clinic for Internal Medicine, Hospital Frankfurt/Oder, Frankfurt/Oder, Germany.
          [5 ] Institute of Pathology, University of Würzburg, Würzburg, Germany.
          [6 ] Institute of Medical Microbiology and Virology, University Hospital Gießen and Marburg, Gießen, Germany.
          [7 ] Institute of Pathology, University Hospital Gießen and Marburg, Gießen, Germany. Electronic address: stefan.gattenloehner@patho.med.uni-giessen.de.
          Article
          S0344-0338(14)00060-0
          10.1016/j.prp.2014.02.006
          24674452
          92378f0c-f1ff-41a1-883e-cf5abf05b66f
          History

          MDS,SNP array,Targeted next generation sequencing
          MDS, SNP array, Targeted next generation sequencing

          Comments

          Comment on this article

          scite_
          0
          0
          0
          0
          Smart Citations
          0
          0
          0
          0
          Citing PublicationsSupportingMentioningContrasting
          View Citations

          See how this article has been cited at scite.ai

          scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.

          Similar content178

          Cited by3