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Triage of high-risk human papillomavirus-positive women by methylated POU4F3

Overview of attention for article published in Clinical Epigenetics, August 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)

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4 tweeters

Citations

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17 Dimensions

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Title
Triage of high-risk human papillomavirus-positive women by methylated POU4F3
Published in
Clinical Epigenetics, August 2015
DOI 10.1186/s13148-015-0122-0
Pubmed ID
Authors

Par B Pun, Yu-Ping Liao, Po-Hsuan Su, Hui-Chen Wang, Yu-Chih Chen, Yaw-Wen Hsu, Rui-Lan Huang, Cheng-Chang Chang, Hung-Cheng Lai

Abstract

Insufficient specificity of the high-risk human papillomavirus (hrHPV) assay in primary cervical cancer screening results in unnecessary referral. Additional assays to triage hrHPV-positive women are needed to improve molecular cervical cancer screening. DNA methylation is a promising biomarker in cervical cancer. We evaluated the clinical performance of potentially methylated genes as a triage assay for hrHPV-positive women. We conducted a retrospective hospital-based case-control study in Taiwan. Cervical scrapings were collected before colposcopy for hrHPV testing and quantitative methylation-specific PCR (QMSP) of 16 genes. Five genes, POU4F3, HS3ST2, AJAP1, PAX1, and SOX1, were prioritized for the clinical performance to triage hrHPV-positive women. Two hundred cervical scrapings were randomly classified into a training set (n = 111) and testing set (n = 89). All samples were tested for hrHPV using a Hybrid Capture II (HCII) assay. HrHPV-positive women were subjected to DNA methylation analysis by QMSP. In the training set, the receiver operating characteristic (ROC) curves defined the optimal methylation index (M-index) cutoff values for discriminating CIN3(+) from CIN1/normal, which then were applied to the testing set. Among the five genes, POU4F3 revealed the highest area under the ROC curve (AUC) (0.86; 95 % CI, 0.78-0.95) in detecting CIN3(+). In the testing set, POU4F3 revealed the best clinical performance in triage of hrHPV-positive women with a sensitivity of 74 % and specificity of 89 % for detecting CIN3(+). POU4F3 methylation analysis is a potential molecular tool for triage in detecting CIN3(+) in hrHPV-positive women. The combined use of broad-spectrum HPV assay and POU4F3 methylation analysis as a new generation of molecular cervical cancer screening warrants further population-based study.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 29%
Student > Ph. D. Student 3 18%
Professor 1 6%
Student > Bachelor 1 6%
Student > Doctoral Student 1 6%
Other 3 18%
Unknown 3 18%
Readers by discipline Count As %
Medicine and Dentistry 4 24%
Agricultural and Biological Sciences 2 12%
Nursing and Health Professions 2 12%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Other 4 24%
Unknown 3 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 26 August 2015.
All research outputs
#7,204,535
of 14,058,698 outputs
Outputs from Clinical Epigenetics
#363
of 724 outputs
Outputs of similar age
#84,844
of 238,704 outputs
Outputs of similar age from Clinical Epigenetics
#9
of 10 outputs
Altmetric has tracked 14,058,698 research outputs across all sources so far. This one is in the 48th percentile – i.e., 48% of other outputs scored the same or lower than it.
So far Altmetric has tracked 724 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one is in the 48th percentile – i.e., 48% 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 238,704 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one.