Seminar: Prof. Andreas von Deimling

Methylation analysis; a novel tool for (brain) tumor classification

Date:
15 June 2015 12:30 hrs. - 13:30 hrs.
Location:
Figdor Lecture Theatre, 8th floor RIMLS Building, Geert Grooteplein 26-28, route 289
Title:
Methylation analysis; a novel tool for (brain) tumor classification
Speaker(s):

Prof. Andreas von Deimling, University Hospital & DKFZ, Heidelberg, Germany

Host(s):

Prof. Pieter WesselingDept. of Pathology, Radboudumc, Theme Rare Cancers

15-06-2015 12:30:0015-06-2015 13:30:00Europe/AmsterdamMethylation analysis; a novel tool for (brain) tumor classification Figdor Lecture Theatre, 8th floor RIMLS Building, Geert Grooteplein 26-28, route 289Rimlsrimls@radboudumc.nl

Remarks / more information:

undefinedDNA methylation profiling provides information on the 'fingerprint' of the cell of origin of tumors and on their molecular alterations. Prof. Andreas von Deimling is frontrunner in application of this technology for improving the pathological diagnosis of brain tumors. Under his leadership, over 1500 diagnostic samples have been processed, with 5-10% of cases displaying a discrepancy between histological and molecular diagnoses. Careful re-examination of these discrepant cases often resulted in refinement of the original diagnosis and improved patient care. Furthermore, DNA methylation profiling analysis allowed for significant improvements in the understanding of the biology of several tumor types, including the identification of further subgroups for several entities and associations with recurrent copy number changes and/or mutations. This relatively inexpensive and robust technology method is thus well suited to complement standard histopathologic techniques and thereby improve diagnostic accuracy and patient management.

Key Publications

  • Dissecting the genomic complexity underlying medullo blastoma. Nature. 488:100-5, 2012
  • Integrated DNA methylation and copy-number profiling identify three clinically and biologically relevant groups of anaplastic glioma. Acta Neuropathol. 128:561-71, 2014
  • Molecular Classification of Ependymal Tumors across All CNS Compartments, Histo pathological Grades, and Age Groups. Cancer Cell. 27:728-43, 2015


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