Publication Detail
The publication detail shows the title, authors (with indicators showing other profiled authors), information on the publishing organization, abstract and a link to the article in PubMed. This abstract is what is used to create the fingerprint of the publication. If any grants are referenced by the publication, they will be listed here as well.
The genetic landscape of the childhood cancer medulloblastoma.
D Williams Parsons; Meng Li; Xiaosong Zhang; Siân Jones; Rebecca J Leary; Jimmy Cheng-Ho Lin; Simina M Boca; Hannah Carter; Josue Samayoa; Chetan Bettegowda; et al. (Profiled Authors: Yiping He; Bert Vogelstein; Gary Gallia; George Jallo; Giovanni Parmigiani; Gregory Riggins; Victor Velculescu; Donald Parsons; Peter Burger; Nickolas Papadopoulos; Kenneth Kinzler)
Ludwig Center for Cancer Genetics and Therapeutics and Howard Hughes Medical Institute, Johns Hopkins Kimmel Cancer Center, Baltimore, MD 21231, USA.
Science (New York, N.Y.) 2011;331(6016):435-9.
Medulloblastoma (MB) is the most common malignant brain tumor of children. To identify the genetic alterations in this tumor type, we searched for copy number alterations using high-density microarrays and sequenced all known protein-coding genes and microRNA genes using Sanger sequencing in a set of 22 MBs. We found that, on average, each tumor had 11 gene alterations, fewer by a factor of 5 to 10 than in the adult solid tumors that have been sequenced to date. In addition to alterations in the Hedgehog and Wnt pathways, our analysis led to the discovery of genes not previously known to be altered in MBs. Most notably, inactivating mutations of the histone-lysine N-methyltransferase genes MLL2 or MLL3 were identified in 16% of MB patients. These results demonstrate key differences between the genetic landscapes of adult and childhood cancers, highlight dysregulation of developmental pathways as an important mechanism underlying MBs, and identify a role for a specific type of histone methylation in human tumorigenesis.
Scientific Context
This section shows information related to the publication - computed using the fingerprint of the publication - including related publications, related experts and related grants with fingerprints representing significant amounts of overlap between their fingerprint and this publication. The red dots indicate whether those experts or terms appear within the publication, thereby showing potential and actual connections.
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