Format

Send to

Choose Destination
J Clin Virol. 2014 May;60(1):44-9. doi: 10.1016/j.jcv.2014.02.002. Epub 2014 Feb 14.

Individual detection of 14 high risk human papilloma virus genotypes by the PapType test for the prediction of high grade cervical lesions.

Author information

1
Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London EC1M 6BQ, UK. Electronic address: j.cuzick@qmul.ac.uk.
2
Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London EC1M 6BQ, UK.

Abstract

BACKGROUND:

HR HPV genotypes when assayed collectively, achieve high sensitivity but low specificity for the prediction of CIN2+. Knowledge of the specific genotypes in an infection may facilitate the use of HR HPV detection in routine clinical practice.

OBJECTIVES:

To compare the rate of HR HPV detection and the accuracy of CIN2+ prediction between PapType test (Genera Biosystems) and other commercially available HR HPV assays, and to examine the value of full HPV genotyping.

STUDY DESIGN:

PreservCyt samples from 1099 women referred for abnormal cervical cytology were used. CIN2+ was chosen as the primary end-point but CIN3+ was also evaluated. A hierarchy of HR HPV genotypes was created using PPV and this was used to create 3 groups of genotypes with potentially different management.

RESULTS:

The PapType assay has a specificity of 22.4% and a sensitivity of 94.6% for CIN2+ prediction. Classification into Groups A (HPV33 and HPV16, very highly predictive), B (HPV31, 18, 52, 35, 58, 51 highly predictive) and C (HPV68, 45, 39, 66, 56, 59, intermediate predictive) could double the specificity (44.5%) but only slightly reduce the sensitivity for CIN2+ (91.5%) and CIN3+ (94.0%).

CONCLUSIONS:

The PapType assay is a simple, reproducible and effective test for HR HPV detection and genotyping. HPV 33 was found to have a very high PPV and should therefore be managed as for HPV16.

KEYWORDS:

CIN; Cervix; Genotypes; High risk HPV; Positive predictive value

PMID:
24630483
PMCID:
PMC4012136
DOI:
10.1016/j.jcv.2014.02.002
[Indexed for MEDLINE]
Free PMC Article

Supplemental Content

Full text links

Icon for Elsevier Science Icon for PubMed Central
Loading ...
Support Center