| Literature DB >> 24953539 |
Fatih Şahiner1, Ayhan Kubar2, Ramazan Gümral3, Medine Ardıç4, Nuri Yiğit5, Kenan Şener6, Murat Dede7, Mehmet Yapar8.
Abstract
Human papillomavirus (HPV) DNA testing has become an important component of cervical cancer screening programs. In this study, we aimed to evaluate the efficiency of MY09/11 consensus polymerase chain reaction (PCR) for the detection of multiple HPV infections. For this purpose, MY09/11 PCR was compared to an original TaqMan-based type-specific real-time PCR assay, which can detect 20 different HPV types. Of the 654 samples, 34.1% (223/654) were HPV DNA positive according to at least one method. The relative sensitivities of MY09/11 PCR and type-specific PCR were 80.7% (180/223) and 97.8% (218/223), respectively. In all, 352 different HPV isolates (66 low-risk and 286 high-risk or probable high-risk types) were identified in 218 samples, but 5 samples, which were positive by consensus PCR only, could not be genotyped. The distribution of the 286 high-risk or probable high-risk HPVs were as follows: 24.5% HPV-16, 8.4% HPV-52, 7.7% HPV-51, 6.3% HPV-39, 6.3% HPV-82, 5.6% HPV-35, 5.6% HPV-58, 5.6% HPV-66, 5.2% HPV-18, 5.2% HPV-68, and 19.6% the other 8 types. A single HPV type was detected in 57.3% (125/218) of the genotyped samples, and multiple HPV types were found in the remaining 42.7% (93/218). The false-negative rates of MY09/11 PCR were found to be 17.4% in single infections, 23.3% in multiple infections, and 34.6% in multiple infections that contained 3 or more HPV types, with the condition that the low-risk types HPV-6 and HPV-11 be considered as a monotype. These data suggest that broad-range PCR assays may lead to significant data loss and that type-specific PCR assays can provide accurate and reliable results during cervical cancer screening.Entities:
Keywords: Cervical smear; Genotyping; Mismatches; Type distribution
Mesh:
Year: 2014 PMID: 24953539 DOI: 10.1016/j.diagmicrobio.2014.03.030
Source DB: PubMed Journal: Diagn Microbiol Infect Dis ISSN: 0732-8893 Impact factor: 2.803