Cargando…

Epidemiology of HPV 16 and Cervical Cancer in Finland and the Potential Impact of Vaccination: Mathematical Modelling Analyses

BACKGROUND: Candidate human papillomavirus (HPV) vaccines have demonstrated almost 90%-100% efficacy in preventing persistent, type-specific HPV infection over 18 mo in clinical trials. If these vaccines go on to demonstrate prevention of precancerous lesions in phase III clinical trials, they will...

Descripción completa

Detalles Bibliográficos
Autores principales: Barnabas, Ruanne V, Laukkanen, Päivi, Koskela, Pentti, Kontula, Osmo, Lehtinen, Matti, Garnett, Geoff P
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1434486/
https://www.ncbi.nlm.nih.gov/pubmed/16573364
http://dx.doi.org/10.1371/journal.pmed.0030138
_version_ 1782127226397917184
author Barnabas, Ruanne V
Laukkanen, Päivi
Koskela, Pentti
Kontula, Osmo
Lehtinen, Matti
Garnett, Geoff P
author_facet Barnabas, Ruanne V
Laukkanen, Päivi
Koskela, Pentti
Kontula, Osmo
Lehtinen, Matti
Garnett, Geoff P
author_sort Barnabas, Ruanne V
collection PubMed
description BACKGROUND: Candidate human papillomavirus (HPV) vaccines have demonstrated almost 90%-100% efficacy in preventing persistent, type-specific HPV infection over 18 mo in clinical trials. If these vaccines go on to demonstrate prevention of precancerous lesions in phase III clinical trials, they will be licensed for public use in the near future. How these vaccines will be used in countries with national cervical cancer screening programmes is an important question. METHODS AND FINDINGS: We developed a transmission model of HPV 16 infection and progression to cervical cancer and calibrated it to Finnish HPV 16 seroprevalence over time. The model was used to estimate the transmission probability of the virus, to look at the effect of changes in patterns of sexual behaviour and smoking on age-specific trends in cancer incidence, and to explore the impact of HPV 16 vaccination. We estimated a high per-partnership transmission probability of HPV 16, of 0.6. The modelling analyses showed that changes in sexual behaviour and smoking accounted, in part, for the increase seen in cervical cancer incidence in 35- to 39-y-old women from 1990 to 1999. At both low (10% in opportunistic immunisation) and high (90% in a national immunisation programme) coverage of the adolescent population, vaccinating women and men had little benefit over vaccinating women alone. We estimate that vaccinating 90% of young women before sexual debut has the potential to decrease HPV type-specific (e.g., type 16) cervical cancer incidence by 91%. If older women are more likely to have persistent infections and progress to cancer, then vaccination with a duration of protection of less than 15 y could result in an older susceptible cohort and no decrease in cancer incidence. While vaccination has the potential to significantly reduce type-specific cancer incidence, its combination with screening further improves cancer prevention. CONCLUSIONS: HPV vaccination has the potential to significantly decrease HPV type-specific cervical cancer incidence. High vaccine coverage of women alone, sustained over many decades, with a long duration of vaccine-conferred protection, would have the greatest impact on type-specific cancer incidence. This level of coverage could be achieved through national coordinated programmes, with surveillance to detect cancers caused by nonvaccine oncogenic HPV types.
format Text
id pubmed-1434486
institution National Center for Biotechnology Information
language English
publishDate 2006
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-14344862006-05-30 Epidemiology of HPV 16 and Cervical Cancer in Finland and the Potential Impact of Vaccination: Mathematical Modelling Analyses Barnabas, Ruanne V Laukkanen, Päivi Koskela, Pentti Kontula, Osmo Lehtinen, Matti Garnett, Geoff P PLoS Med Research Article BACKGROUND: Candidate human papillomavirus (HPV) vaccines have demonstrated almost 90%-100% efficacy in preventing persistent, type-specific HPV infection over 18 mo in clinical trials. If these vaccines go on to demonstrate prevention of precancerous lesions in phase III clinical trials, they will be licensed for public use in the near future. How these vaccines will be used in countries with national cervical cancer screening programmes is an important question. METHODS AND FINDINGS: We developed a transmission model of HPV 16 infection and progression to cervical cancer and calibrated it to Finnish HPV 16 seroprevalence over time. The model was used to estimate the transmission probability of the virus, to look at the effect of changes in patterns of sexual behaviour and smoking on age-specific trends in cancer incidence, and to explore the impact of HPV 16 vaccination. We estimated a high per-partnership transmission probability of HPV 16, of 0.6. The modelling analyses showed that changes in sexual behaviour and smoking accounted, in part, for the increase seen in cervical cancer incidence in 35- to 39-y-old women from 1990 to 1999. At both low (10% in opportunistic immunisation) and high (90% in a national immunisation programme) coverage of the adolescent population, vaccinating women and men had little benefit over vaccinating women alone. We estimate that vaccinating 90% of young women before sexual debut has the potential to decrease HPV type-specific (e.g., type 16) cervical cancer incidence by 91%. If older women are more likely to have persistent infections and progress to cancer, then vaccination with a duration of protection of less than 15 y could result in an older susceptible cohort and no decrease in cancer incidence. While vaccination has the potential to significantly reduce type-specific cancer incidence, its combination with screening further improves cancer prevention. CONCLUSIONS: HPV vaccination has the potential to significantly decrease HPV type-specific cervical cancer incidence. High vaccine coverage of women alone, sustained over many decades, with a long duration of vaccine-conferred protection, would have the greatest impact on type-specific cancer incidence. This level of coverage could be achieved through national coordinated programmes, with surveillance to detect cancers caused by nonvaccine oncogenic HPV types. Public Library of Science 2006-05 2006-04-04 /pmc/articles/PMC1434486/ /pubmed/16573364 http://dx.doi.org/10.1371/journal.pmed.0030138 Text en Copyright: © 2006 Barnabas et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Barnabas, Ruanne V
Laukkanen, Päivi
Koskela, Pentti
Kontula, Osmo
Lehtinen, Matti
Garnett, Geoff P
Epidemiology of HPV 16 and Cervical Cancer in Finland and the Potential Impact of Vaccination: Mathematical Modelling Analyses
title Epidemiology of HPV 16 and Cervical Cancer in Finland and the Potential Impact of Vaccination: Mathematical Modelling Analyses
title_full Epidemiology of HPV 16 and Cervical Cancer in Finland and the Potential Impact of Vaccination: Mathematical Modelling Analyses
title_fullStr Epidemiology of HPV 16 and Cervical Cancer in Finland and the Potential Impact of Vaccination: Mathematical Modelling Analyses
title_full_unstemmed Epidemiology of HPV 16 and Cervical Cancer in Finland and the Potential Impact of Vaccination: Mathematical Modelling Analyses
title_short Epidemiology of HPV 16 and Cervical Cancer in Finland and the Potential Impact of Vaccination: Mathematical Modelling Analyses
title_sort epidemiology of hpv 16 and cervical cancer in finland and the potential impact of vaccination: mathematical modelling analyses
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1434486/
https://www.ncbi.nlm.nih.gov/pubmed/16573364
http://dx.doi.org/10.1371/journal.pmed.0030138
work_keys_str_mv AT barnabasruannev epidemiologyofhpv16andcervicalcancerinfinlandandthepotentialimpactofvaccinationmathematicalmodellinganalyses
AT laukkanenpaivi epidemiologyofhpv16andcervicalcancerinfinlandandthepotentialimpactofvaccinationmathematicalmodellinganalyses
AT koskelapentti epidemiologyofhpv16andcervicalcancerinfinlandandthepotentialimpactofvaccinationmathematicalmodellinganalyses
AT kontulaosmo epidemiologyofhpv16andcervicalcancerinfinlandandthepotentialimpactofvaccinationmathematicalmodellinganalyses
AT lehtinenmatti epidemiologyofhpv16andcervicalcancerinfinlandandthepotentialimpactofvaccinationmathematicalmodellinganalyses
AT garnettgeoffp epidemiologyofhpv16andcervicalcancerinfinlandandthepotentialimpactofvaccinationmathematicalmodellinganalyses