An evaluation of Qiagen HPV sign for the detection and genotyping of cervical lesions and oropharyngeal squamous cell carcinomas
Ward, Chris and Pedraza, Johanna and Kavanagh, Kimberley and Johannessen, Ingolfur and Cuschieri, Kate (2014) An evaluation of Qiagen HPV sign for the detection and genotyping of cervical lesions and oropharyngeal squamous cell carcinomas. Journal of Virological Methods, 207. pp. 128-132. ISSN 1879-0984 (https://doi.org/10.1016/j.jviromet.2014.07.001)
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Abstract
HPV genotyping is an important tool in the epidemiology and surveillance of HPV associated cancers and for the risk-stratification of HPV infections. HPV sign Genotyping Test (QIAGEN) is a new pyrosequencing assay for the detection and genotyping of HPV. The sensitivity and comparative performance of HPV sign was determined using a sample panel derived from histologically confirmed cervical lesions (cervical intraepithelial neoplasia 2 or worse) and oropharyngeal squamous cell carcinomas. Comparative analysis showed that 80% of cervical intraepithelial neoplasia 2+ and 81% of oropharyngeal squamous cell carcinomas were HPV positive by HPV sign compared to 100% of the cervical intraepithelial neoplasia 2+ and 81% of oropharyngeal squamous cell carcinomas by the digene HPV Genotyping RH Test (RH), and INNO-LiPA HPV Genotyping Extra assay respectively. Fewer genotypes were detected overall by HPV sign than via the relevant comparator assays (10 v 21 for cervical intraepithelial neoplasia 2+; 4 v 9 for oropharyngeal squamous cell carcinomas) and also fewer multiple infections (9 v 28 for cervical intraepithelial neoplasia 2+; 0 v 4 for oropharyngeal squamous cell carcinomas). HPV sign results were more compatible with the comparator assay for the oropharyngeal squamous cell carcinoma samples (100%) than for the cervical samples (73%). These results suggest that HPV sign in its current form is suited to samples that harbour multiple infection.
ORCID iDs
Ward, Chris, Pedraza, Johanna, Kavanagh, Kimberley ORCID: https://orcid.org/0000-0002-2679-5409, Johannessen, Ingolfur and Cuschieri, Kate;-
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Item type: Article ID code: 49070 Dates: DateEventOctober 2014Published9 July 2014Published Online1 July 2014AcceptedSubjects: Science > Microbiology > Virology
Science > Mathematics > Probabilities. Mathematical statisticsDepartment: Faculty of Science > Mathematics and Statistics Depositing user: Pure Administrator Date deposited: 20 Aug 2014 10:16 Last modified: 11 Nov 2024 10:45 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/49070