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Methylated genomic loci encoding microRNA as a biomarker panel in tissue and saliva for head and neck squamous cell carcinoma

Overview of attention for article published in Clinical Epigenetics, April 2018
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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 (84th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

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1 news outlet
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2 X users
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1 patent

Citations

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19 Dimensions

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53 Mendeley
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Title
Methylated genomic loci encoding microRNA as a biomarker panel in tissue and saliva for head and neck squamous cell carcinoma
Published in
Clinical Epigenetics, April 2018
DOI 10.1186/s13148-018-0470-7
Pubmed ID
Authors

Yu Cao, Katherine Green, Steve Quattlebaum, Ben Milam, Ling Lu, Dexiang Gao, Hui He, Ningning Li, Liwei Gao, Francis Hall, Matthew Whinery, Elyse Handley, Yi Ma, Tao Xu, Feng Jin, Jing Xiao, Minjie Wei, Derek Smith, Sophia Bornstein, Neil Gross, Dohun Pyeon, John Song, Shi-Long Lu

Abstract

To identify aberrant promoter methylation of genomic loci encoding microRNA (mgmiR) in head and neck squamous cell carcinoma (HNSCC) and to evaluate a biomarker panel of mgmiRs to improve the diagnostic accuracy of HNSCC in tissues and saliva. Methylation of promoter regions of mgmiR candidates was initially screened using HNSCC and control cell lines and further selected using HNSCC and control tissues by quantitative methylation-specific PCR (qMS-PCR). We then examined a panel of seven mgmiRs for validation in an expanded cohort including 189 HNSCC and 92 non-HNSCC controls. Saliva from 86 pre-treatment HNSCC patients and 108 non-HNSCC controls was also examined using this panel of seven mgmiRs to assess the potentials of clinical utilization. Among the 315 screened mgmiRs, 12 mgmiRs were significantly increased in HNSCC cell lines compared to control cell lines. Seven out of the 12 mgmiRs, i.e., mgmiR9-1, mgmiR124-1, mgmiR124-2, mgmiR124-3, mgmiR129-2, mgmiR137, and mgmiR148a, were further found to significantly increase in HNSCC tumor tissues compared to control tissues. Using multivariable logistic regression with dichotomized variables, a combination of the seven mgmiRs had sensitivity and specificity of 92.6 and 92.4% in tissues and 76.7 and 86.1% in saliva, respectively. Area under the receiver operating curve for this panel was 0.97 in tissue and 0.93 in saliva. This model was validated by independent bootstrap validation and random forest analysis. mgmiR biomarkers represent a novel and promising screening tool, and the seven-mgmiR panel is able to robustly detect HNSCC in both patient tissue and saliva.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 17%
Researcher 6 11%
Student > Doctoral Student 5 9%
Student > Postgraduate 3 6%
Lecturer > Senior Lecturer 2 4%
Other 8 15%
Unknown 20 38%
Readers by discipline Count As %
Medicine and Dentistry 13 25%
Biochemistry, Genetics and Molecular Biology 7 13%
Nursing and Health Professions 3 6%
Agricultural and Biological Sciences 3 6%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 6 11%
Unknown 19 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 22 October 2020.
All research outputs
#2,275,428
of 23,041,514 outputs
Outputs from Clinical Epigenetics
#130
of 1,266 outputs
Outputs of similar age
#51,232
of 329,118 outputs
Outputs of similar age from Clinical Epigenetics
#6
of 32 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,266 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done well, scoring higher than 89% 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 329,118 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 84% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.