Literature DB >> 21678440

Human papillomavirus infection among women with cytological abnormalities in Switzerland investigated by an automated linear array genotyping test.

Marinko Dobec1, Fridolin Bannwart, Sandra Kilgus, Franz Kaeppeli, Pascal Cassinotti.   

Abstract

Limited data are available describing human papillomavirus (HPV) genotype distribution among females with cytological abnormalities in Switzerland. Cervical cell specimens obtained from 5,318 women were screened routinely by liquid-based Pap smear. All specimens with cellular abnormalities were analyzed subsequently for HPV DNA by the Linear Array HPV genotyping test. Cellular abnormalities were found in 202 (3.8%) specimens, of which 150 (74.3%) were positive for high-risk (HR) HPV. HR-HPV was detected in 20 (60.6%; 95% CI, 43.7-75.4%) of 33 specimens with atypical squamous cells of undetermined significance compared to 98 (72.1%; 95% CI, 64-78.9%) of 136 low-grade squamous intraepithelial lesions and 32 (97%; 95% CI, 83.4-99.9%) of 33 high-grade squamous intraepithelial lesions. The cumulative prevalence of HR-HPV other than HPV 16 and 18 was significantly higher than HPV 16 and/or 18 lesions with atypical squamous cells and low-grade lesions and was comparable in high-grade squamous intraepithelial lesions. The most common HR-HPV genotypes were HPV 16 (15.2%), HPV 31 (12.1%), HPV 58 (12.1%), HPV 51 (9.1%), and HPV 59 (9.1%) in women with atypical squamous cells, HPV 16 (25%), HPV 51 (16.9%), HPV 52 (11.8%), HPV 31 (9.6%), and HPV 56 (8.1%) in women with low-grade lesions (LSIL) and HPV 16 (57.6%), HPV 18 (18.2%), HPV 31 (15.2%), HPV 52 (12.1%), and HPV 58 (6.1%) in women with high-grade lesions (HSIL).
Copyright © 2011 Wiley-Liss, Inc.

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Year:  2011        PMID: 21678440     DOI: 10.1002/jmv.22126

Source DB:  PubMed          Journal:  J Med Virol        ISSN: 0146-6615            Impact factor:   2.327


  3 in total

1.  A high performance prediction of HPV genotypes by Chaos game representation and singular value decomposition.

Authors:  Watcharaporn Tanchotsrinon; Chidchanok Lursinsap; Yong Poovorawan
Journal:  BMC Bioinformatics       Date:  2015-03-05       Impact factor: 3.169

Review 2.  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

3.  Human papillomavirus genotype distribution and socio-behavioural characteristics in women with cervical pre-cancer and cancer at the start of a human papillomavirus vaccination programme: the CIN3+ plus study.

Authors:  Dianne Egli-Gany; Anne Spaar Zographos; Joachim Diebold; Virginie Masserey Spicher; Brigitte Frey Tirri; Rolf Heusser; Joakim Dillner; Patrick Petignat; Roland Sahli; Nicola Low
Journal:  BMC Cancer       Date:  2019-01-30       Impact factor: 4.430

  3 in total

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