Ontology type: schema:ScholarlyArticle Open Access: True
2011-03
AUTHORSMichael A. Chapman, Michael S. Lawrence, Jonathan J. Keats, Kristian Cibulskis, Carrie Sougnez, Anna C. Schinzel, Christina L. Harview, Jean-Philippe Brunet, Gregory J. Ahmann, Mazhar Adli, Kenneth C. Anderson, Kristin G. Ardlie, Daniel Auclair, Angela Baker, P. Leif Bergsagel, Bradley E. Bernstein, Yotam Drier, Rafael Fonseca, Stacey B. Gabriel, Craig C. Hofmeister, Sundar Jagannath, Andrzej J. Jakubowiak, Amrita Krishnan, Joan Levy, Ted Liefeld, Sagar Lonial, Scott Mahan, Bunmi Mfuko, Stefano Monti, Louise M. Perkins, Robb Onofrio, Trevor J. Pugh, S. Vincent Rajkumar, Alex H. Ramos, David S. Siegel, Andrey Sivachenko, A. Keith Stewart, Suzanne Trudel, Ravi Vij, Douglas Voet, Wendy Winckler, Todd Zimmerman, John Carpten, Jeff Trent, William C. Hahn, Levi A. Garraway, Matthew Meyerson, Eric S. Lander, Gad Getz, Todd R. Golub
ABSTRACTMultiple myeloma is an incurable malignancy of plasma cells, and its pathogenesis is poorly understood. Here we report the massively parallel sequencing of 38 tumour genomes and their comparison to matched normal DNAs. Several new and unexpected oncogenic mechanisms were suggested by the pattern of somatic mutation across the data set. These include the mutation of genes involved in protein translation (seen in nearly half of the patients), genes involved in histone methylation, and genes involved in blood coagulation. In addition, a broader than anticipated role of NF-κB signalling was indicated by mutations in 11 members of the NF-κB pathway. Of potential immediate clinical relevance, activating mutations of the kinase BRAF were observed in 4% of patients, suggesting the evaluation of BRAF inhibitors in multiple myeloma clinical trials. These results indicate that cancer genome sequencing of large collections of samples will yield new insights into cancer not anticipated by existing knowledge. More... »
PAGES467
http://scigraph.springernature.com/pub.10.1038/nature09837
DOIhttp://dx.doi.org/10.1038/nature09837
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1007161398
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/21430775
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]Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/nature09837'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/nature09837'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/nature09837'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/nature09837'
This table displays all metadata directly associated to this object as RDF triples.
750 TRIPLES
21 PREDICATES
103 URIs
49 LITERALS
37 BLANK NODES