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Feasibility of urinary microRNA detection in breast cancer patients and its potential as an innovative non-invasive biomarker

Overview of attention for article published in BMC Cancer, March 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

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7 news outlets
twitter
12 X users
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3 patents
facebook
2 Facebook pages
googleplus
14 Google+ users

Citations

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110 Dimensions

Readers on

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128 Mendeley
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Title
Feasibility of urinary microRNA detection in breast cancer patients and its potential as an innovative non-invasive biomarker
Published in
BMC Cancer, March 2015
DOI 10.1186/s12885-015-1190-4
Pubmed ID
Authors

Thalia Erbes, Marc Hirschfeld, Gerta Rücker, Markus Jaeger, Jasmin Boas, Severine Iborra, Sebastian Mayer, Gerald Gitsch, Elmar Stickeler

Abstract

Since recent studies revealed the feasibility to detect blood-based microRNAs (miRNAs, miRs) in breast cancer (BC) patients a new field has been opened for circulating miRNAs as potential biomarkers in BC. In this pilot study, we evaluated to our knowledge for the first time whether distinct pattern of urinary miRNAs might be also applicable as innovative biomarkers for BC detection. Urinary miRNA expression levels of nine BC-related miRNAs (miR-21, miR-34a, miR-125b, miR-155, miR-195, miR-200b, miR-200c, miR-375, miR-451) from 24 untreated, primary BC patients and 24 healthy controls were quantified by realtime-PCR. The receiver operating characteristic analyses (ROC) and logistic regression were calculated to assess discriminatory accuracy. Significant differences were found in the expression of four BC-associated miRNAs quantified as median miRNA expression levels. Urinary miR-155 levels were significantly higher in BC patients compared to healthy controls (1.49vs.0.25; p < 0.001). In contrast, compared to healthy controls, BC patients exhibited significantly lower urinary expression levels of miR-21 (2.27vs.5.07; p < 0.001), miR-125b (0.71vs.1.62; p < 0.001), and miR-451 (0.02vs.0.59 p = 0.004), respectively. The ROC including all miRNAs as well as the group of the four significant deregulated miRNAs separated BC patients from healthy controls with a very high (area under the receiver operating characteristic curve [AUC] = 0.932) and high accuracy (AUC = 0.887), respectively. We were able to demonstrate for the first time the feasibility to detect distinct BC-dependent urinary miRNA profiles. The expression levels of four urinary miRNAs were specifically altered in our cohort of BC patients compared to healthy controls. This distinct pattern offers the possibility for a specific discrimination between healthy women and primary BC patients. This sustains the potential role of urinary miRNAs as non-invasive innovative urine-based biomarkers for BC detection.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users 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 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Egypt 2 2%
United Kingdom 1 <1%
Unknown 125 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 25%
Student > Master 20 16%
Student > Bachelor 20 16%
Researcher 15 12%
Student > Postgraduate 5 4%
Other 12 9%
Unknown 24 19%
Readers by discipline Count As %
Medicine and Dentistry 28 22%
Agricultural and Biological Sciences 24 19%
Biochemistry, Genetics and Molecular Biology 21 16%
Engineering 5 4%
Chemistry 4 3%
Other 20 16%
Unknown 26 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 84. 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 18 February 2021.
All research outputs
#503,298
of 25,315,460 outputs
Outputs from BMC Cancer
#52
of 8,928 outputs
Outputs of similar age
#5,855
of 270,842 outputs
Outputs of similar age from BMC Cancer
#2
of 248 outputs
Altmetric has tracked 25,315,460 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,928 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 99% 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 270,842 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 248 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.