| Title |
Genome‐wide microRNA analysis of HPV‐positive self‐samples yields novel triage markers for early detection of cervical cancer
|
|---|---|
| Published in |
International Journal of Cancer, November 2018
|
| DOI | 10.1002/ijc.31855 |
| Pubmed ID | |
| Authors |
Barbara C. Snoek, Wina Verlaat, Iris Babion, Putri W. Novianti, Mark A. van de Wiel, Saskia M. Wilting, Nienke E. van Trommel, Maaike C.G. Bleeker, Leon F.A.G. Massuger, Willem J.G. Melchers, Daoud Sie, Daniëlle A.M. Heideman, Peter J.F. Snijders, Chris J.L.M. Meijer, Renske D.M. Steenbergen |
| Abstract |
Offering self-sampling for HPV testing improves the effectiveness of current cervical screening programs by increasing population coverage. Molecular markers directly applicable on self-samples are needed to stratify HPV-positive women at risk of cervical cancer (so-called triage) and to avoid over-referral and overtreatment. Deregulated microRNAs (miRNAs) have been implicated in the development of cervical cancer, and represent potential triage markers. However, it is unknown whether deregulated miRNA expression is reflected in self-samples. This study is the first to establish genome-wide miRNA profiles in HPV-positive self-samples to identify miRNAs that can predict the presence of CIN3 and cervical cancer in self-samples. Small RNA sequencing (sRNA-Seq) was conducted to determine genome-wide miRNA expression profiles in 74 HPV-positive self-samples of women with and without cervical precancer (CIN3). The optimal miRNA marker panel for CIN3 detection was determined by GRidge, a penalized method on logistic regression. Six miRNAs were validated by qPCR in 191 independent HPV-positive self-samples. Classification of sRNA-Seq data yielded a 9-miRNA marker panel with a combined Area Under the Curve (AUC) of 0.89 for CIN3 detection. Validation by qPCR resulted in a combined AUC of 0.78 for CIN3+ detection. This study shows that deregulated miRNA expression associated with CIN3 and cervical cancer development can be detected by sRNA-Seq in HPV-positive self-samples. Validation by qPCR indicates that miRNA expression analysis offers a promising novel molecular triage strategy for CIN3 and cervical cancer detection applicable to self-samples. This article is protected by copyright. All rights reserved. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 99 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 17 | 17% |
| Student > Ph. D. Student | 11 | 11% |
| Researcher | 9 | 9% |
| Student > Master | 7 | 7% |
| Student > Postgraduate | 4 | 4% |
| Other | 15 | 15% |
| Unknown | 36 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 25 | 25% |
| Biochemistry, Genetics and Molecular Biology | 18 | 18% |
| Nursing and Health Professions | 4 | 4% |
| Agricultural and Biological Sciences | 3 | 3% |
| Immunology and Microbiology | 3 | 3% |
| Other | 7 | 7% |
| Unknown | 39 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 October 2023.
All research outputs
#7,211,617
of 25,002,811 outputs
Outputs from International Journal of Cancer
#4,451
of 12,187 outputs
Outputs of similar age
#123,452
of 357,819 outputs
Outputs of similar age from International Journal of Cancer
#76
of 212 outputs
Altmetric has tracked 25,002,811 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 12,187 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one has gotten more attention than average, scoring higher than 62% of its peers.
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We're also able to compare this research output to 212 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.