Detection of human papillomavirus in squamous intraepithelial lesions by consensus and type-specific polymerase chain reaction
| Autor: | B.-M. Imbert, B. Besse, P. Sagot, P. Lopes, A. Mensier, A. Moreau, M. Coste-Burel, S. Billaudel |
|---|---|
| Rok vydání: | 1993 |
| Předmět: |
Adult
Cervix Uteri Polymerase Chain Reaction Virus law.invention law Prevalence medicine Humans Human papillomavirus Papillomaviridae Polymerase chain reaction Southern blot Colposcopy Cervical cancer medicine.diagnostic_test business.industry virus diseases Obstetrics and Gynecology Uterine Cervical Dysplasia medicine.disease Consensus primer Virology female genital diseases and pregnancy complications Blotting Southern Reproductive Medicine Dysplasia Female business |
| Zdroj: | European Journal of Obstetrics & Gynecology and Reproductive Biology. 52:193-200 |
| ISSN: | 0301-2115 |
| Popis: | Polymerase chain reaction (PCR) was used to identify human papillomavirus (HPV) in 216 cervical biopsy specimens from women referred to the gynecological out-patient unit for colposcopy because of an abnormal smear. HPV DNA was screened using type-specific primers for HPV6, 11, 16, 18, 31 and 33 (TS-PCR) as well as a consensus primer located in the El region of the HPV genome (C-PCR). TS-PCR specificity was validated by Southern blot analysis. Low-grade (SIL 1) and high-grade (SIL 2) squamous intraepithelial lesions were found in 165 biopsies. HPV 16 detection was better with PCR than Southern blot, particularly for SIL 1 and SIL 2. The fact that 10% of HPV 16 (all SIL 2) were not detected by C-PCR indicates that both PCR techniques should be performed. C-PCR also detects uncharacterized HPV types (8.6% prevalence in our results), mainly in SIL 1 and SIL 2. HPV 16, the most frequently isolated type (prevalence 21%), was associated with SIL 2 in 83% of cases. A low HPV prevalence was found in specimens without dysplastic cells. These results suggest that PCR may be an important tool for identifying women at risk for developing dysplasia or cervical cancer. |
| Databáze: | OpenAIRE |
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