Title |
Human papillomavirus detection using the Abbott RealTime high-risk HPV tests compared with conventional nested PCR coupled to high-throughput sequencing of amplification products in cervical smear specimens from a Gabonese female population
|
---|---|
Published in |
Virology Journal, December 2017
|
DOI | 10.1186/s12985-017-0906-2 |
Pubmed ID | |
Authors |
Pamela Moussavou-Boundzanga, Ismaël Hervé Koumakpayi, Ingrid Labouba, Eric M. Leroy, Ernest Belembaogo, Nicolas Berthet |
Abstract |
Cervical cancer is the fourth most common malignancy in women worldwide. However, screening with human papillomavirus (HPV) molecular tests holds promise for reducing cervical cancer incidence and mortality in low- and middle-income countries. The performance of the Abbott RealTime High-Risk HPV test (AbRT) was evaluated in 83 cervical smear specimens and compared with a conventional nested PCR coupled to high-throughput sequencing (HTS) to identify the amplicons. The AbRT assay detected at least one HPV genotype in 44.57% of women regardless of the grade of cervical abnormalities. Except for one case, good concordance was observed for the genotypes detected with the AbRT assay in the high-risk HPV category determined with HTS of the amplicon generated by conventional nested PCR. The AbRT test is an easy and reliable molecular tool and was as sensitive as conventional nested PCR in cervical smear specimens for detection HPVs associated with high-grade lesions. Moreover, sequencing amplicons using an HTS approach effectively identified the genotype of the hrHPV identified with the AbRT test. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
South Africa | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 33% |
Scientists | 1 | 33% |
Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 30 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 10% |
Student > Doctoral Student | 2 | 7% |
Student > Ph. D. Student | 2 | 7% |
Other | 1 | 3% |
Librarian | 1 | 3% |
Other | 3 | 10% |
Unknown | 18 | 60% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 7 | 23% |
Biochemistry, Genetics and Molecular Biology | 3 | 10% |
Immunology and Microbiology | 1 | 3% |
Nursing and Health Professions | 1 | 3% |
Unknown | 18 | 60% |