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Identification of microRNAs in the cerebrospinal fluid as marker for primary diffuse large B-cell lymphoma of the central nervous system

Overview of attention for article published in Blood, January 2011
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

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1 X user
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3 patents
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1 Wikipedia page

Citations

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281 Dimensions

Readers on

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168 Mendeley
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Title
Identification of microRNAs in the cerebrospinal fluid as marker for primary diffuse large B-cell lymphoma of the central nervous system
Published in
Blood, January 2011
DOI 10.1182/blood-2010-09-308684
Pubmed ID
Authors

Alexander Baraniskin, Jan Kuhnhenn, Uwe Schlegel, Andrew Chan, Martina Deckert, Ralf Gold, Abdelouahid Maghnouj, Hannah Zöllner, Anke Reinacher-Schick, Wolff Schmiegel, Stephan A. Hahn, Roland Schroers

Abstract

The diagnosis of primary central nervous system lymphoma (PCNSL) depends on histopathology of brain biopsies, because disease markers in the cerebrospinal fluid (CSF) with sufficient diagnostic accuracy are not available yet. MicroRNAs (miRNAs) are regulatory RNA molecules that are deregulated in many disease types, including cancer. Recently, miRNAs have shown promise as markers for cancer diagnosis. In this study, we demonstrate that miRNAs are present in the CSF of patients with PCNSL. With a candidate approach and miRNA quantification by reverse transcription polymerase chain reaction, miRNAs with significant levels in the CSF of patients with PCNSL were identified. MiR-21, miR-19, and miR-92a levels in CSF collected from patients with PCNSL and from controls with inflammatory CNS disorders and other neurologic disorders indicated a significant diagnostic value of this method. Receiver-operating characteristic analyses showed area under the curves of 0.94, 0.98, and 0.97, respectively, for miR-21, miR-19, and miR-92a CSF levels in discriminating PCNSL from controls. More importantly, combined miRNA analyses resulted in an increased diagnostic accuracy with 95.7% sensitivity and 96.7% specificity. We also demonstrated a remarkable stability of miRNAs in the CSF. In conclusion, CSF miRNAs are potentially useful tools as novel noninvasive biomarker for the diagnosis of PCNSL.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 168 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
United Kingdom 2 1%
Netherlands 1 <1%
Czechia 1 <1%
Korea, Republic of 1 <1%
Denmark 1 <1%
India 1 <1%
Unknown 158 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 19%
Student > Ph. D. Student 25 15%
Other 18 11%
Student > Postgraduate 13 8%
Professor > Associate Professor 13 8%
Other 34 20%
Unknown 33 20%
Readers by discipline Count As %
Medicine and Dentistry 55 33%
Agricultural and Biological Sciences 33 20%
Biochemistry, Genetics and Molecular Biology 20 12%
Neuroscience 8 5%
Pharmacology, Toxicology and Pharmaceutical Science 4 2%
Other 8 5%
Unknown 40 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 20 April 2023.
All research outputs
#3,713,898
of 25,394,764 outputs
Outputs from Blood
#4,782
of 33,262 outputs
Outputs of similar age
#21,827
of 190,728 outputs
Outputs of similar age from Blood
#34
of 321 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 33,262 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done well, scoring higher than 85% of its peers.
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 190,728 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 88% of its contemporaries.
We're also able to compare this research output to 321 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.