Acta Neuropathologica

, Volume 134, Issue 6, pp 965–967 | Cite as

DNA-methylation profiling discloses significant advantages over NanoString method for molecular classification of medulloblastoma

  • Andrey Korshunov
  • Lukas Chavez
  • Paul A. Northcott
  • Tanvi Sharma
  • Marina Ryzhova
  • David T. W. Jones
  • Andreas von Deimling
  • Stefan M. Pfister
  • Marcel Kool
Correspondence

Supplementary material

401_2017_1776_MOESM1_ESM.pdf (252 kb)
Supplementary Figure 1. Example of tumor which was classified with CodeSet as Group 3 MB but re-classified as Ewing sarcoma. a. H&E—small round cell cerebellar tumor diagnosed as MB. b. Strong synaptophysin expression. c. Cytogenetic profile revealed rearrangements on chromosome 22q. d. FISH analysis with ESWR1 break-apart probe. The cell nuclei show the one fusion, one orange, and one green signal pattern indicative of a rearrangement of one copy of the EWSR1 region. (PDF 251 kb)

References

  1. 1.
    Hovestadt V, Remke M, Kool M et al (2013) Robust molecular subgrouping and copy-number profiling of medulloblastoma from small amounts of archival tumour material using high-density DNA methylation arrays. Acta Neuropathol 125(6):913–916. doi:10.1007/s00401-013-1126-5 CrossRefPubMedPubMedCentralGoogle Scholar
  2. 2.
    Northcott PA, Shih DJ, Remke M et al (2012) Rapid, reliable, and reproducible molecular sub-grouping of clinical medulloblastoma samples. Acta Neuropathol 123(4):615–626. doi:10.1007/s00401-011-0899-7 CrossRefPubMedGoogle Scholar
  3. 3.
    Northcott PA, Buchhalter I, Morrissy AS et al (2017) The whole-genome landscape of medulloblastoma subtypes. Nature 547(7663):311–317. doi:10.1038/nature22973 CrossRefPubMedGoogle Scholar
  4. 4.
    Pietsch T, Schmidt R, Remke M et al (2014) Prognostic significance of clinical, histopathological, and molecular characteristics of medulloblastomas in the prospective HIT2000 multicenter clinical trial cohort. Acta Neuropathol 128(1):137–149. doi:10.1007/s00401-014-1276-0 CrossRefPubMedPubMedCentralGoogle Scholar
  5. 5.
    Ramaswamy V, Remke M, Bouffet E (2016) Risk stratification of childhood medulloblastoma in the molecular era: the current consensus. Acta Neuropathol 131(6):821–831. doi:10.1007/s00401-016-1569-6 CrossRefPubMedPubMedCentralGoogle Scholar
  6. 6.
    Sturm D, Orr BA, Toprak UH et al (2016) New brain tumor entities emerge from molecular classification of CNS-PNETs. Cell 164(5):1060–1072. doi:10.1016/j.cell.2016.01.015 CrossRefPubMedPubMedCentralGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  • Andrey Korshunov
    • 1
    • 2
    • 3
  • Lukas Chavez
    • 4
  • Paul A. Northcott
    • 5
  • Tanvi Sharma
    • 4
  • Marina Ryzhova
    • 6
  • David T. W. Jones
    • 3
    • 4
  • Andreas von Deimling
    • 1
    • 2
    • 3
  • Stefan M. Pfister
    • 3
    • 4
    • 7
  • Marcel Kool
    • 3
    • 4
  1. 1.Clinical Cooperation Unit Neuropathology (G380)German Cancer Research Center (DKFZ)HeidelbergGermany
  2. 2.Department of NeuropathologyHeidelberg University HospitalHeidelbergGermany
  3. 3.German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ)HeidelbergGermany
  4. 4.Division of Pediatric Neurooncology (B062)German Cancer Research Center (DKFZ)HeidelbergGermany
  5. 5.Department of Developmental NeurobiologySt. Jude Children’s Research HospitalMemphisUSA
  6. 6.Department of NeuropathologyNN Burdenko Neurosurgical InstituteMoscowRussia
  7. 7.Department of Pediatric Hematology and OncologyHeidelberg University HospitalHeidelbergGermany

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