A comprehensive natural history model of HPV infection and cervical cancer to estimate the clinical impact of a prophylactic HPV‐16/18 vaccine
Abstract
The object of our study is to project the impact of a prophylactic vaccine against persistent human papillomavirus (HPV)‐16/18 infection on age‐specific incidence of invasive cervical cancer. We developed a computer‐based mathematical model of the natural history of cervical carcinogenesis to incorporate the underlying type‐specific HPV distribution within precancerous lesions and invasive cancer. After defining plausible ranges for each parameter based on a comprehensive literature review, the model was calibrated to the best available population‐based data. We projected the age‐specific reduction in cervical cancer that would occur with a vaccine that reduced the probability of acquiring persistent infection with HPV 16/18, and explored the impact of alternative assumptions about vaccine efficacy and coverage, waning immunity and competing risks associated with non‐16/18 HPV types in vaccinated women. The model predicted a peak age‐specific cancer incidence of 90 per 100,000 in the 6th decade, a lifetime cancer risk of 3.7% and a reproducible representation of type‐specific HPV within low and high‐grade cervical precancerous lesions and cervical cancer. A vaccine that prevented 98% of persistent HPV 16/18 was associated with an approximate equivalent reduction in 16/18‐associated cancer and a 51% reduction in total cervical cancer; the effect on total cancer was attenuated due to the competing risks associated with other oncogenic non‐16/18 types. A vaccine that prevented 75% of persistent HPV 16/18 was associated with a 70% to 83% reduction in HPV‐16/18 cancer cases. Similar effects were observed with high‐grade squamous intraepithelial lesions (HSIL) although the impact of vaccination on the overall prevalence of HPV and low‐grade squamous intraepithelial lesions (LSIL) was minimal. In conclusion, a prophylactic vaccine that prevents persistent HPV‐16/18 infection can be expected to significantly reduce HPV‐16/18‐associated LSIL, HSIL and cervical cancer. The impact on overall prevalence of HPV or LSIL, however, may be minimal. Based on the relative importance of different parameters in the model, several priorities for future research were identified. These include a better understanding of the heterogeneity of vaccine response, the effect of type‐specific vaccination on other HPV types and the degree to which vaccination effect persists over time. © 2003 Wiley‐Liss, Inc.
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References 92 · Cited by 209
- Authors
- Goldie, S. J., Grima, D., Kohli, M., Wright, T. C., Weinstein, M., & Franco, E.
- Affiliations
- Harvard University (US)
- Columbia University Irving Medical Center (US)
- McGill University (CA)
- Corresponding author
- Goldie, Sue J.
- Venue
- International Journal of Cancer
- Publisher
- Wiley
- Published
- 2003-08-06
- Volume
- 106
- Issue
- 6
- Pages
- 896-904
- ISSN
- 0020-7136 (ISSN-L)
- 1097-0215
- OpenAlex
- W2134965109
- Cited by
- 209
- References
- 92
- Citations by year
- 2026: 1 · 2025: 8 · 2024: 3 · 2023: 6 · 2022: 1 · 2021: 6 · 2020: 1 · 2019: 2 · 2018: 6 · 2017: 3 · 2016: 2 · 2015: 5 · 2014: 9 · 2013: 16 · 2012: 9
- FWCI
- 10.81
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Cancer (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Cancer Institute (R01CA093435, R01-CA93435)
- Topics
- Health Sciences › Medicine › Epidemiology › Cervical Cancer and HPV Research
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Women's cancer prevention and management
- Health Sciences › Medicine › Surgery › Genital Health and Disease
- Keywords
- HPV-16/18 vaccine, prophylactic vaccines, cervical cancer, cervical carcinogenesis, natural history model, persistent HPV infection, cervical precancerous lesions, high-grade squamous intraepithelial lesion, low-grade squamous intraepithelial lesion, vaccine efficacy, vaccination coverage, waning immunity, competing risks, HPV prevalence, cancer incidence projections, lifetime cancer risk
- MeSH terms
- Adolescent, Adult, Cell Transformation, Neoplastic, Uterine Cervical Neoplasms, Female, Humans, Middle Aged, Models, Theoretical, Neoplasm Staging, Oncogene Proteins, Viral, Risk Factors, Tumor Virus Infections, Viral Vaccines, Incidence, Age Distribution, Papillomaviridae, Papillomavirus Infections, Papillomavirus Vaccines
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