Title |
Use of Human Papillomavirus DNA, E6/E7 mRNA, and p16 Immunocytochemistry to Detect and Predict anal High-Grade Squamous Intraepithelial Lesions in HIV-Positive and HIV-Negative Men Who Have Sex with Men
|
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Published in |
PLOS ONE, November 2013
|
DOI | 10.1371/journal.pone.0078291 |
Pubmed ID | |
Authors |
Nittaya Phanuphak, Nipat Teeratakulpisarn, Somboon Keelawat, Tippawan Pankam, Jiranuwat Barisri, Surang Triratanachat, Amornrat Deesua, Piyanee Rodbamrung, Jiratchaya Wongsabut, Patou Tantbirojn, Saranya Numto, Preecha Ruangvejvorachai, Praphan Phanuphak, Joel M. Palefsky, Jintanat Ananworanich, Stephen J. Kerr |
Abstract |
Men who have sex with men (MSM) are at high risk of having anal cancer. Anal high-grade squamous intraepithelial lesion (HSIL) is the precursor of anal cancer. We explored the use of different biomarkers associated with human papillomavirus (HPV) infection and HPV-mediated cell transformation to detect and predict HSIL among HIV-positive and HIV-negative MSM. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 1% |
South Africa | 1 | 1% |
Unknown | 78 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 19 | 24% |
Student > Master | 10 | 13% |
Student > Doctoral Student | 6 | 8% |
Student > Bachelor | 6 | 8% |
Student > Ph. D. Student | 5 | 6% |
Other | 15 | 19% |
Unknown | 19 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 31 | 39% |
Agricultural and Biological Sciences | 6 | 8% |
Biochemistry, Genetics and Molecular Biology | 5 | 6% |
Social Sciences | 5 | 6% |
Immunology and Microbiology | 4 | 5% |
Other | 10 | 13% |
Unknown | 19 | 24% |