Literature DB >> 19041893

Analytical evaluation of the PapilloCheck test, a new commercial DNA chip for detection and genotyping of human papillomavirus.

Véronique Dalstein1, Sandra Merlin, Corinne Bali, Maëlle Saunier, Roger Dachez, Christophe Ronsin.   

Abstract

Recently, a commercially available HPV DNA chip, the PapilloCheck test, developed by Greiner Bio-One, has become available for human papillomavirus (HPV) genotyping. The PapilloCheck test is a PCR-based test using a new consensus primer set targeting the E1 HPV gene. HPV oligoprobes immobilized on a DNA chip allow for the identification of 24 HPV types from the amplified product. In the present study, the analytical performance of the PapilloCheck test is compared to the Linear Array HPV genotyping test (Roche Diagnostics). Cervical specimens collected in PreservCyt (Cytyc) solution and obtained from women who presented abnormal cytological findings were tested primarily by the Hybrid Capture 2 High-Risk assay (HC2-HR, QIAGEN). A total of 144 samples were selected according to the signal intensity obtained with the HC2-HR test, expressed as RLU/CO value, and divided into 4 groups as follows: [0-1] RLU/CO (negative HC2-HR result, 34 samples); [1-5] RLU/CO (positive HC2-HR result, 30 samples); [5-40] RLU/CO (positive HC2-HR result, 40 samples); >40 RLU/CO (positive HC2-HR result, 40 samples). The concordance levels between the HC2-HR test and each of the genotyping assays was similar (88.8%) and the crude agreement between these assays was considered as "good". The detailed analysis of the discrepant results confirmed a possibly high rate of false positive results of HC2-HR test in the 1-5 RLU/CO grey zone. Genotype-specific comparison analysis was limited to the 23 HPV types detected by both genotyping assays (HPV types 6, 11, 16, 18, 31, 33, 35, 39, 40, 42, 45, 51, 52, 53, 55, 56, 58, 59, 66, 68, 70, 73 and 82). Of the 135 samples available for comparison, 91 (67.4%) showed absolute agreement between the assays (concordant genotype-specific results), 34 (25.1%) showed correspondence for some but not all genotypes detected by both assays (compatible genotype-specific results), and the remaining 10 (7.4%) samples did not show any similarity between the tests (discordant results). The majority of discordances were found in samples containing multiple HPV types and in samples harboring low amounts of HPV. For some HPV genotypes, there were slight differences in the detection rate between the two genotyping methods. The Linear Array test seemed to be more sensitive to detect HPV type 53 whereas PapilloCheck test seemed to be more sensitive to detect HPV type 56. For the other genotypes, including HPV types 16 and 18, the results obtained by the two methods did not differ significantly. In conclusion, this study shows that the PapilloCheck test and the Linear Array test give comparable results for detecting HPV in cervical specimens. However, these results also suggest that there is a need to standardize the type-specific sensitivity of genotyping methods and to evaluate their accuracy to detect multiple HPV infections. This would be a prerequisite for the use of genotyping assays in cervical cancer screening algorithms.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 19041893     DOI: 10.1016/j.jviromet.2008.11.002

Source DB:  PubMed          Journal:  J Virol Methods        ISSN: 0166-0934            Impact factor:   2.014


  13 in total

1.  Comparison of the clinical performance of PapilloCheck human papillomavirus detection with that of the GP5+/6+-PCR-enzyme immunoassay in population-based cervical screening.

Authors:  A T Hesselink; D A M Heideman; J Berkhof; F Topal; R P Pol; C J L M Meijer; P J F Snijders
Journal:  J Clin Microbiol       Date:  2009-12-30       Impact factor: 5.948

2.  A simple HPV 18 detection method based on ultra specific primer immobilized on glass slides.

Authors:  Amanda C Fidelis; Rosa F Dutra; Paulo Roberto E Souza; Celso Pinto de Melo; Maria M D Maia
Journal:  J Clin Lab Anal       Date:  2013-01-29       Impact factor: 2.352

3.  Clinical impact of the analytical specificity of the hybrid capture 2 test: data from the New Technologies for Cervical Cancer (NTCC) study.

Authors:  Anna Gillio-Tos; Laura De Marco; Francesca Maria Carozzi; Annarosa Del Mistro; Salvatore Girlando; Elena Burroni; Helena Frayle-Salamanca; Paolo Giorgi Rossi; Paola Pierotti; Guglielmo Ronco
Journal:  J Clin Microbiol       Date:  2013-06-26       Impact factor: 5.948

4.  Visual detection of high-risk human papillomavirus genotypes 16, 18, 45, 52, and 58 by loop-mediated isothermal amplification with hydroxynaphthol blue dye.

Authors:  Le Luo; Kai Nie; Meng-Jie Yang; Miao Wang; Jin Li; Chen Zhang; Hong-Tu Liu; Xue-Jun Ma
Journal:  J Clin Microbiol       Date:  2011-08-24       Impact factor: 5.948

5.  The cytology and DNA detection by the PapilloCheck(®) test in the diagnosis of human papillomavirus infection.

Authors:  L Vieira; A Almeida
Journal:  Eur J Microbiol Immunol (Bp)       Date:  2013-03-13

6.  Human papillomavirus genotypes distribution in 175 invasive cervical cancer cases from Brazil.

Authors:  Cristina Mendes de Oliveira; José Humberto Tavares Guerreiro Fregnani; Jesus Paula Carvalho; Adhemar Longatto-Filho; José Eduardo Levi
Journal:  BMC Cancer       Date:  2013-07-24       Impact factor: 4.430

Review 7.  HPV-Testing in Follow-up of Patients Treated for CIN2+ Lesions.

Authors:  Luciano Mariani; Maria Teresa Sandri; Mario Preti; Massimo Origoni; Silvano Costa; Paolo Cristoforoni; Fabio Bottari; Mario Sideri
Journal:  J Cancer       Date:  2016-01-01       Impact factor: 4.207

Review 8.  A review of methods for detect human Papillomavirus infection.

Authors:  André L P Abreu; Raquel P Souza; Fabrícia Gimenes; Marcia E L Consolaro
Journal:  Virol J       Date:  2012-11-06       Impact factor: 4.099

9.  Use of FTA elute card impregnated with cervicovaginal sample directly into the amplification reaction increases the detection of human papillomavirus DNA.

Authors:  Carla R Santos; Laura G Franciscatto; Regina B Barcellos; Sabrina E M Almeida; Maria Lucia R Rossetti
Journal:  Braz J Microbiol       Date:  2012-06-01       Impact factor: 2.476

10.  HPV genotype distribution in Brazilian women with and without cervical lesions: correlation to cytological data.

Authors:  Toni Ricardo Martins; Cristina Mendes de Oliveira; Luciana Reis Rosa; Cristiane de Campos Centrone; Célia Luiza Regina Rodrigues; Luisa Lina Villa; José Eduardo Levi
Journal:  Virol J       Date:  2016-08-12       Impact factor: 4.099

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.