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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genomic vulnerability to LINE-1 hypomethylation is a potential determinant of the clinicogenetic features of multiple myeloma
|
|---|---|
| Published in |
Genome Medicine, December 2012
|
| DOI | 10.1186/gm402 |
| Pubmed ID | |
| Authors |
Yuka Aoki, Masanori Nojima, Hiromu Suzuki, Hiroshi Yasui, Reo Maruyama, Eiichiro Yamamoto, Masami Ashida, Mitsuhiro Itagaki, Hideki Asaoku, Hiroshi Ikeda, Toshiaki Hayashi, Kohzoh Imai, Mitsuru Mori, Takashi Tokino, Tadao Ishida, Minoru Toyota, Yasuhisa Shinomura |
| Abstract |
ABSTRACT: BACKGROUND: The aim of this study was to clarify the role of global hypomethylation of repetitive elements in determining the genetic and clinical features of multiple myeloma (MM). METHODS: We assessed global methylation levels using four repetitive elements (long interspersed nuclear element-1 (LINE-1), Alu Ya5, Alu Yb8, and Satellite-α) in clinical samples comprising 74 MM samples and 11 benign control samples (7 cases of monoclonal gammopathy of undetermined significance (MGUS) and 4 samples of normal plasma cells (NPC)). We also evaluated copy-number alterations using array-based comparative genomic hybridization, and performed methyl-CpG binding domain sequencing (MBD-seq). RESULTS: Global levels of the repetitive-element methylation declined with the degree of malignancy of plasma cells (NPC>MGUS>MM), and there was a significant inverse correlation between the degree of genomic loss and the LINE-1 methylation levels. We identified 80 genomic loci as common breakpoints (CBPs) around commonly lost regions, which were significantly associated with increased LINE-1 densities. MBD-seq analysis revealed that average DNA-methylation levels at the CBP loci and relative methylation levels in regions with higher LINE-1 densities also declined during the development of MM. We confirmed that levels of methylation of the 5' untranslated region of respective LINE-1 loci correlated strongly with global LINE-1 methylation levels. Finally, there was a significant association between LINE-1 hypomethylation and poorer overall survival (hazard ratio 2.8, P = 0.015). CONCLUSION: Global hypomethylation of LINE-1 is associated with the progression of and poorer prognosis for MM, possibly due to frequent copy-number loss. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ecuador | 2 | 25% |
| United States | 1 | 13% |
| France | 1 | 13% |
| United Kingdom | 1 | 13% |
| Mexico | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 3 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Unknown | 30 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 39% |
| Researcher | 5 | 16% |
| Other | 3 | 10% |
| Student > Doctoral Student | 2 | 6% |
| Student > Bachelor | 2 | 6% |
| Other | 3 | 10% |
| Unknown | 4 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 29% |
| Medicine and Dentistry | 9 | 29% |
| Agricultural and Biological Sciences | 7 | 23% |
| Economics, Econometrics and Finance | 1 | 3% |
| Unknown | 5 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 19 July 2013.
All research outputs
#5,772,057
of 23,652,325 outputs
Outputs from Genome Medicine
#987
of 1,468 outputs
Outputs of similar age
#59,088
of 284,722 outputs
Outputs of similar age from Genome Medicine
#53
of 67 outputs
Altmetric has tracked 23,652,325 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,468 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.9. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 284,722 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.