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High-Risk HPV Genotype Distribution According to Cervical Cytology and Age
BACKGROUND: A retrospective study of a single laboratory's results from patients in the United States to investigate high-risk human papillomavirus (HPV) genotype distribution according to cervical cytology and age was performed. METHODS: Anonymous results of 23 580 patients’ cervical specimens...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9685174/ https://www.ncbi.nlm.nih.gov/pubmed/36438621 http://dx.doi.org/10.1093/ofid/ofac595 |
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author | Trama, Jason P Trikannad, Charulata Yang, Jing Jing Adelson, Martin E Mordechai, Eli |
author_facet | Trama, Jason P Trikannad, Charulata Yang, Jing Jing Adelson, Martin E Mordechai, Eli |
author_sort | Trama, Jason P |
collection | PubMed |
description | BACKGROUND: A retrospective study of a single laboratory's results from patients in the United States to investigate high-risk human papillomavirus (HPV) genotype distribution according to cervical cytology and age was performed. METHODS: Anonymous results of 23 580 patients’ cervical specimens sent to Medical Diagnostic Laboratories, LLC, for cervical cytology and HPV testing between August 2020 and August 2021 were analyzed. RESULTS: Overall, any of the 14 high-risk HPV genotypes identified were detected in 2302 of the 23 580 patients (9.8%), with HPV 52 (1.4%), HPV 39 (1.3%), HPV 51 (1.3%), and HPV 16 (1.2%) being the most frequent in all patients. Multiple high-risk HPV infection was observed in 1.3% of all patients. HPV 16 was most likely to be a single high-risk genotype detected as compared with detection with other high-risk HPV genotypes, in contrast to HPV 33, which is least likely to be a single high-risk genotype detected as compared with detection with other high-risk HPV genotypes. High-risk HPV detection was greatest in patients under 25 years old (<21-year-olds, 24.6%, and 21–25-year-olds, 25.4%). In patients with low-grade squamous intraepithelial lesions, the most frequently detected high-risk HPV genotypes were HPV 51 (10.5%) and HPV 39 (9.1%), and in patients with high-grade squamous intraepithelial lesions, the most frequently detected high-risk HPV genotypes were HPV 16 (25.6%) and HPV 52 (17.1%). CONCLUSIONS: HPV genotyping and cervical cytology data analysis may contribute to and inform cervical cancer screening and HPV vaccination programs. |
format | Online Article Text |
id | pubmed-9685174 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-96851742022-11-25 High-Risk HPV Genotype Distribution According to Cervical Cytology and Age Trama, Jason P Trikannad, Charulata Yang, Jing Jing Adelson, Martin E Mordechai, Eli Open Forum Infect Dis Major Article BACKGROUND: A retrospective study of a single laboratory's results from patients in the United States to investigate high-risk human papillomavirus (HPV) genotype distribution according to cervical cytology and age was performed. METHODS: Anonymous results of 23 580 patients’ cervical specimens sent to Medical Diagnostic Laboratories, LLC, for cervical cytology and HPV testing between August 2020 and August 2021 were analyzed. RESULTS: Overall, any of the 14 high-risk HPV genotypes identified were detected in 2302 of the 23 580 patients (9.8%), with HPV 52 (1.4%), HPV 39 (1.3%), HPV 51 (1.3%), and HPV 16 (1.2%) being the most frequent in all patients. Multiple high-risk HPV infection was observed in 1.3% of all patients. HPV 16 was most likely to be a single high-risk genotype detected as compared with detection with other high-risk HPV genotypes, in contrast to HPV 33, which is least likely to be a single high-risk genotype detected as compared with detection with other high-risk HPV genotypes. High-risk HPV detection was greatest in patients under 25 years old (<21-year-olds, 24.6%, and 21–25-year-olds, 25.4%). In patients with low-grade squamous intraepithelial lesions, the most frequently detected high-risk HPV genotypes were HPV 51 (10.5%) and HPV 39 (9.1%), and in patients with high-grade squamous intraepithelial lesions, the most frequently detected high-risk HPV genotypes were HPV 16 (25.6%) and HPV 52 (17.1%). CONCLUSIONS: HPV genotyping and cervical cytology data analysis may contribute to and inform cervical cancer screening and HPV vaccination programs. Oxford University Press 2022-11-03 /pmc/articles/PMC9685174/ /pubmed/36438621 http://dx.doi.org/10.1093/ofid/ofac595 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Major Article Trama, Jason P Trikannad, Charulata Yang, Jing Jing Adelson, Martin E Mordechai, Eli High-Risk HPV Genotype Distribution According to Cervical Cytology and Age |
title | High-Risk HPV Genotype Distribution According to Cervical Cytology and Age |
title_full | High-Risk HPV Genotype Distribution According to Cervical Cytology and Age |
title_fullStr | High-Risk HPV Genotype Distribution According to Cervical Cytology and Age |
title_full_unstemmed | High-Risk HPV Genotype Distribution According to Cervical Cytology and Age |
title_short | High-Risk HPV Genotype Distribution According to Cervical Cytology and Age |
title_sort | high-risk hpv genotype distribution according to cervical cytology and age |
topic | Major Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9685174/ https://www.ncbi.nlm.nih.gov/pubmed/36438621 http://dx.doi.org/10.1093/ofid/ofac595 |
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