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Reference

Multiple myeloma is affected by multiple and heterogeneous somatic mutations in adhesion- and receptor tyrosine kinase signaling molecules.

Paper Id
COSP31051
Authors
Leich E,Weißbach S,Klein HU,Grieb T,Pischimarov J,Stühmer T,Chatterjee M,Steinbrunn T,Langer C,Eilers M,Knop S,Einsele H,Bargou R and Rosenwald A
Affiliation
Institute of Pathology, University of Würzburg, Würzburg, Germany.
Journal
Blood cancer journal 2013;3:e102
ISSN:2044-5385
PUBMED:23396385
Abstract
Multiple myeloma (MM) is a largely incurable plasma cell malignancy with a poorly understood and heterogeneous clinical course. To identify potential, functionally relevant somatic mutations in MM, we performed whole-exome sequencing of five primary MM, corresponding germline DNA and six MM cell lines, and developed a bioinformatics strategy that also integrated published mutational data of 38 MM patients. Our analysis confirms that identical, recurrent mutations of single genes are infrequent in MM, but highlights that mutations cluster in important cellular pathways. Specifically, we show enrichment of mutations in adhesion molecules of MM cells, emphasizing the important role for the interaction of the MM cells with their microenvironment. We describe an increased rate of mutations in receptor tyrosine kinases (RTKs) and associated signaling effectors, for example, in EGFR, ERBB3, KRAS and MAP2K2, pointing to a role of aberrant RTK signaling in the development or progression of MM. The diversity of mutations affecting different nodes of a particular signaling network appears to be an intrinsic feature of individual MM samples, and the elucidation of intra- as well as interindividual redundancy in mutations that affect survival pathways will help to better tailor targeted therapeutic strategies to the specific needs of the MM patient.
Paper Status
Curated
Genes Analysed
647
Mutated Samples
11
Total No. of Samples
11
This tab shows genes with mutations in the selected study/paper [more details]
Genes Samples CDS Mutation AA Mutation
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Non-Mutant Genes Gene Id (COSG)
This tab shows samples without mutations in the selected study/paper [more details]
Non-Mutant Samples Sample Id (COSS)
This tab shows mutated samples in the selected study/paper [more details]
Sample Name Mutation Count
This tab shows non coding variant in the selected study/paper [more details]
Sample ID Sample Name ID NCV Annotation Zygosity Chromosome Genome start Genome stop Genome version Strand WT seq Mut seq
This tab shows the copy number variation data for this study. Only variants (classified as gain or loss) are listed. [more details]
CNV Gene Sample Position Minor Allele Copy Number Average Ploidy

1. N/A represents cases where average ploidy value is not available( mostly ICGC samples). For some TCGA samples where minor allele information is not available the average ploidy value could not be calculated.

2. For TCGA samples, Ascat algorithm is used to calculate the average ploidy.

3. For CGP samples, Picnic algorithm is used to calculate the average ploidy.

Type
This tab shows a table of count of samples having gain or loss for all genes [more details]
Gene Gain Samples Loss Samples Samples Tested
This tab shows the fusion mutations observed in this sample [more details]
Gene Sample Name Id Sample(COSS) CDS Mutation Somatic status Zygosity Validated Type