Literature DB >> 21352773

HPV-16 infection and cervical cancer: modeling the influence of duration of infection and precancerous lesions.

Iacopo Baussano1, Guglielmo Ronco, Nereo Segnan, Katherine French, Paolo Vineis, Geoff P Garnett.   

Abstract

The patterns of transmission, clearance, and progression of HPV infection and the related precancerous lesions are key to accurately model cervical cancer epidemiology and prevention. We have developed an age-structured dynamic model of the transmission of HPV-16 infection. This mathematical model accounts, for the first time, for the effect of infection and precancerous lesions duration on the natural history of HPV-16 infection and precancerous lesions. The model's output has been fitted to contemporaneous sets of data from Turin, Italy, to estimate parameters that have had been indirectly tested by comparing them with other estimates reported in the literature. The average probability of HPV-16 infection transmission per sexual partnership was about 40%. The HPV-16 clearance and progression rates decreased as the length of time with infection increased, clearance ranging between 1.6 per woman-year (in the first 6 months of infection) and 0.036 (after more than 6 years of infection), and progression between 0.072 and 0.018 per woman-year. The rate of clearance of precancerous lesions (CIN2+) was inversely dependent on age, while the progression of CIN2+ toward invasive cervical cancer increased as the precancerous lesions persisted. The present study also suggests that an exclusive role of women's age in shaping the rate of progression to cancer is unlikely. These results should inform future analyses. Including more accurately the role of the duration of infection and precancerous lesions as determinants of the cervical cancer occurrence in models of cervical cancer control may influence predictors of the effectiveness of intervention strategies.
Copyright © 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 21352773     DOI: 10.1016/j.epidem.2010.02.002

Source DB:  PubMed          Journal:  Epidemics        ISSN: 1878-0067            Impact factor:   4.396


  12 in total

1.  Association between interleukin-2, interleukin-10, secretory immunoglobulin A and immunoglobulin G expression in vaginal fluid and human papilloma virus outcome in patients with cervical lesions.

Authors:  Jing-Wei Meng; Jing-Hui Song
Journal:  Oncol Lett       Date:  2019-09-20       Impact factor: 2.967

2.  In vitro and in vivo anti-cancer activity of formononetin on human cervical cancer cell line HeLa.

Authors:  Yue-mei Jin; Tian-min Xu; Yan-hui Zhao; Yi-chao Wang; Man-hua Cui
Journal:  Tumour Biol       Date:  2013-11-24

3.  Impact of vaccination on 14 high-risk HPV type infections: a mathematical modelling approach.

Authors:  Simopekka Vänskä; Kari Auranen; Tuija Leino; Heini Salo; Pekka Nieminen; Terhi Kilpi; Petri Tiihonen; Dan Apter; Matti Lehtinen
Journal:  PLoS One       Date:  2013-08-29       Impact factor: 3.240

4.  Informed cytology for triaging HPV-positive women: substudy nested in the NTCC randomized controlled trial.

Authors:  Christine Bergeron; Paolo Giorgi-Rossi; Frederic Cas; Maria Luisa Schiboni; Bruno Ghiringhello; Paolo Dalla Palma; Daria Minucci; Stefano Rosso; Manuel Zorzi; Carlo Naldoni; Nereo Segnan; Massimo Confortini; Guglielmo Ronco
Journal:  J Natl Cancer Inst       Date:  2015-01-07       Impact factor: 13.506

5.  Type-specific human papillomavirus biological features: validated model-based estimates.

Authors:  Iacopo Baussano; K Miriam Elfström; Fulvio Lazzarato; Anna Gillio-Tos; Laura De Marco; Francesca Carozzi; Annarosa Del Mistro; Joakim Dillner; Silvia Franceschi; Guglielmo Ronco
Journal:  PLoS One       Date:  2013-11-29       Impact factor: 3.240

6.  The impact of HPV female immunization in Italy: model based predictions.

Authors:  Giorgio Guzzetta; Luca Faustini; Donatella Panatto; Roberto Gasparini; Piero Manfredi
Journal:  PLoS One       Date:  2014-03-11       Impact factor: 3.240

7.  The role of acquired immunity in the spread of human papillomavirus (HPV): explorations with a microsimulation model.

Authors:  Suzette M Matthijsse; Joost van Rosmalen; Jan A C Hontelez; Roel Bakker; Inge M C M de Kok; Marjolein van Ballegooijen; Sake J de Vlas
Journal:  PLoS One       Date:  2015-02-02       Impact factor: 3.240

8.  Inference of type-specific HPV transmissibility, progression and clearance rates: a mathematical modelling approach.

Authors:  Helen C Johnson; K Miriam Elfström; W John Edmunds
Journal:  PLoS One       Date:  2012-11-21       Impact factor: 3.240

9.  The association of HPV-16 seropositivity and natural immunity to reinfection: insights from compartmental models.

Authors:  Igor A Korostil; Suzanne M Garland; Matthew G Law; David G Regan
Journal:  BMC Infect Dis       Date:  2013-02-13       Impact factor: 3.090

Review 10.  Infection transmission and chronic disease models in the study of infection-associated cancers.

Authors:  I Baussano; S Franceschi; M Plummer
Journal:  Br J Cancer       Date:  2013-12-03       Impact factor: 7.640

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