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Identification of unbalanced genome copy number abnormalities in patients with multiple myeloma by single-nucleotide polymorphism genotyping microarray analysis

Overview of attention for article published in International Journal of Hematology, September 2012
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Title
Identification of unbalanced genome copy number abnormalities in patients with multiple myeloma by single-nucleotide polymorphism genotyping microarray analysis
Published in
International Journal of Hematology, September 2012
DOI 10.1007/s12185-012-1171-1
Pubmed ID
Authors

Yuhei Kamada, Mamiko Sakata-Yanagimoto, Masashi Sanada, Aiko Sato-Otsubo, Terukazu Enami, Kazumi Suzukawa, Naoki Kurita, Hidekazu Nishikii, Yasuhisa Yokoyama, Yasushi Okoshi, Yuichi Hasegawa, Seishi Ogawa, Shigeru Chiba

Abstract

Single-nucleotide polymorphism genotyping microarray (SNP array) analysis provides detailed information on chromosomal copy number aberrations. To obtain detailed information on genomic abnormalities related to pathogenesis or prognosis of multiple myeloma (MM), we performed 250K SNP array analysis in 39 MM patients and 11 cell lines. We identified an accumulation of deletions and uniparental disomies at 22q12.1. Among the hyperdiploid MM cases, chromosomal imbalance at this locus was associated with poor prognosis. On sequencing, we also found a mutation in the seizure-related 6 homolog (mouse)-like (SEZ6L) gene located at ch.22q12.1 in an MM cell line, NOP1. We further found isolated deletions in 17 genes, five of which are known tumor suppressor genes. Of these, deletion of protein tyrosine phosphatase, receptor type D (PTPRD) was found in three samples, including two patients. Consistent with previous reports, non-hyperdiploid MM, deletion of 13q (del13q) and gain of 1q in non-hyperdiploid MMs were predictive of poor prognosis (p = 0.039, p = 0.049, and p = 0.013, respectively). However, our analysis revealed that unless accompanied by gain of 1q, the prognosis of non-hyperdiploid MM was as good as that of hyperdiploid MM. Thus, SNP array analysis provides significant information useful to understanding the pathogenesis and prognosis of MM.

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Mendeley readers

Mendeley readers

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Geographical breakdown

Country Count As %
Japan 1 4%
Ethiopia 1 4%
Unknown 21 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 30%
Student > Ph. D. Student 4 17%
Student > Bachelor 3 13%
Other 2 9%
Lecturer 1 4%
Other 4 17%
Unknown 2 9%
Readers by discipline Count As %
Medicine and Dentistry 11 48%
Biochemistry, Genetics and Molecular Biology 7 30%
Agricultural and Biological Sciences 3 13%
Unknown 2 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 September 2012.
All research outputs
#18,314,922
of 22,678,224 outputs
Outputs from International Journal of Hematology
#894
of 1,384 outputs
Outputs of similar age
#128,250
of 168,451 outputs
Outputs of similar age from International Journal of Hematology
#12
of 17 outputs
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