4.7 Article

A Human Papilloma Virus Testing Algorithm Comprising a Combination of the L1 Broad-Spectrum SPF10 PCR Assay and a Novel E6 High-Risk Multiplex Type-Specific Genotyping PCR Assay

Journal

JOURNAL OF CLINICAL MICROBIOLOGY
Volume 51, Issue 4, Pages 1171-1178

Publisher

AMER SOC MICROBIOLOGY
DOI: 10.1128/JCM.02831-12

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Funding

  1. GlaxoSmithKline Biologicals, Rixensart, Belgium
  2. GSK

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Human papillomavirus (HPV) epidemiological and vaccine studies require highly sensitive HPV detection and genotyping systems. To improve HPV detection by PCR, the broad-spectrum L1-based SPF10 PCR DNA enzyme immunoassay (DEIA) LiPA system and a novel E6-based multiplex type-specific system (MPTS123) that uses Luminex xMAP technology were combined into a new testing algorithm. To evaluate this algorithm, cervical swabs (n = 860) and cervical biopsy specimens (n = 355) were tested, with a focus on HPV types detected by the MPTS123 assay (types 16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59, 66, 68, 6, and 11). Among the HPV-positive samples, identifications of individual HPV genotypes were compared. When all MPTS123 targeted genotypes were considered together, good overall agreement was found (kappa = 0.801, 95% confidence interval [CI], 0.784 to 0.818) with identification by SPF10 LiPA, but significantly more genotypes (P < 0.0001) were identified by the MPTS123 PCR Luminex assay, especially for HPV types 16, 35, 39, 45, 58, and 59. An alternative type-specific assay was evaluated that is based on detection of a limited number of HPV genotypes by type-specific PCR and a reverse hybridization assay (MPTS12 RHA). This assay showed results similar to those of the expanded MPTS123 Luminex assay. These results confirm the fact that broad-spectrum PCRs are hampered by type competition when multiple HPV genotypes are present in the same sample. Therefore, a testing algorithm combining the broad-spectrum PCR and a range of type-specific PCRs can offer a highly accurate method for the analysis of HPV infections and diminish the rate of false-negative results and may be particularly useful for epidemiological and vaccine studies.

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