Type‐Specific Duration of Human Papillomavirus Infection: Implications for Human Papillomavirus Screening and Vaccination

Trottier, Helen; Mahmud, Salaheddin M.; Prado, José Carlos Mann; Sobrinho, João Simão; Costa, Maria C; Rohan, Thomas E.; Villa, Luisa L.; Franco, Eduardo L.

doi:10.1086/587698

Cited by 155 publications

(174 citation statements)

References 39 publications

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“…The relatively low clearance rate of HPV16 was also reported in earlier studies (Ho et al, 1998;Molano et al, 2003;Richardson et al, 2003). This observation is consistent with other natural history studies of cervical HPV infection (Franco et al, 1999;Moscicki et al, 2006;Trottier et al, 2008). The clearance of hrHPV infections was slower than lrHPV infections which is in accordance with most other investigators (Giuliano et al, 2002;Molano et al, 2003;Richardson et al, 2003;Brown et al, 2005) who have also reported a longer duration of persistence of infection caused by oncogenic rather than non-oncogenic HPV types.…”

Section: Discussionsupporting

confidence: 92%

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Type-Specific Incidence and Persistence of HPV Infection among Young Women: A Prospective Study in North India

Datta¹,

Bhatla²,

Pandey³

et al. 2012

Asian Pacific Journal of Cancer Prevention

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Background: Infections with human papillomavirus (HPV) are highly prevalent among sexually active young women in India. However, not much is known about the incidence of type-specific human papillomavirus (HPV) infections and their patterns of persistence, especially in the Indian context. Objective: The objective of this study was to evaluate the rate of acquisition and persistence of HPV types in young women. Methods: Women residing in an urban slum in Delhi (n=1300) were followed for 24 months at 6 monthly intervals. Exfoliated cervical cells collected at each visit were tested for the presence of HPV DNA. Genotyping was performed using the reverse line blot assay. Results: The incidence rate for any HPV type was calculated to be 5 per 1000 women-months. Among high risk HPV types, HPV16 had the highest incidence rate followed by HPV59, HPV52 and HPV18, i.e., 3.0, 0.58, 0.41 and 0.35 women per 1000 women-months respectively. The persistence rate was higher for high-risk than low-risk HPV types. Among low-risk types, HPV42, HPV62, HPV84 and HPV89 were found to persist. Whereas almost all high risk types showed persistence, the highest rate was found in women with HPV types 16, 45, 67, 31, 51 and 59. The persistence rate for HPV16 infection was 45 per 1000 women-months. Conclusion: Incident HPV infections and high risk HPV type-specific persistence were found to be high in our study population of young married women. Understanding the patterns of HPV infection may help plan appropriate strategies for prevention programs including vaccination and screening.

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Section: Discussionsupporting

confidence: 92%

“…Longer duration of hrHPV persistence in younger women, similar to those enrolled in our study, was also observed by others (Ahdieh et al, 2001;Trottier et al, 2008;). However, some studies have shown that HPV persistence is more common among older women (Castle et al, 2005;Goodman et al, 2008).…”

Section: Discussionsupporting

confidence: 92%

Type-Specific Incidence and Persistence of HPV Infection among Young Women: A Prospective Study in North India

Datta¹,

Bhatla²,

Pandey³

et al. 2012

Asian Pacific Journal of Cancer Prevention

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“…Although numerous test kits with high sensitivity and covering a broad spectrum of HPV types are now commercially available, the interpretation of these results is not straight forward. By using these methods, coinfections with multiple HPV types are not only common for normal and low-grade lesions, [21][22][23][24][25] but also found in a notable, although smaller proportion of invasive cancers. [26][27][28][29][30][31] The current understanding favours the notion that only one of the coinfecting types is responsible for cancer development.…”

Section: Discussionmentioning

confidence: 99%

Distribution of human papillomavirus types in cervical cancers in Hong Kong: Current situation and changes over the last decades

Chan

et al. 2009

Intl Journal of Cancer

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Human papillomavirus (HPV) type distribution among cervical cancers and its possible changes over time are key issues that determine the cost-effectiveness of HPV vaccines. Cervical cancers diagnosed during 3 periods (1997-2007, N 5 280; 1984-1986, N 5 74; 1972-1973, N 5 81) in Hong Kong were examined for HPV type distribution using sensitive broad-catching methods. The results showed a variation in HPV distribution between histological groups. Among cervical squamous cell carcinoma (SCC) cases diagnosed over the past 10 years, HPV16 was most commonly found (61.2%), followed by HPV18 (17.7%), HPV52 (14.7%) and HPV58 (9.9%), whereas adeno/adenosquamous cell carcinoma was dominated by HPV18 (56.3%) and HPV16 (50.0%). The proportion of HPV16-positive SCC showed a significant linear trend of increase with time (45.2% for 1972-1973, 58.8% for 1984-1986, 61.2% for 1997-2007; p Trend 5 0.023), whereas HPV52-positive SCC decreased with time (30.1% for 1972-1973; 29.4% for 1984-1986, 14.7% for 1997-2007 Human papillomavirus (HPV) plays an essential, though insufficient, role in the development of cervical cancer. [1][2][3][4] There are more than 40 HPV types that can infect the female genital tract. These genital HPVs are classified into high risk (HPV16,18,31,33,35, 39, 45, 51, 52, 56, 58, 59, 68, 73 and 82), probable high risk (HPV26, 53, 66, 67, 69 and IS39), and low and unknown risk (HPV6,11, 40, 42, 43, 44, 54, 61, 62, 70, 71, 72, 81 and CP6108) on the basis of their epidemiological risk for cervical cancer development. [5][6][7][8] The high-risk types show a biased distribution among cancer specimens collected worldwide due to their difference in oncogenicity, and perhaps as well as their intrinsic geographical predilection. 9,10 HPV16 accounts for 52-58% and HPV18 accounts for 13-22% of invasive cervical cancers worldwide, whereas the remaining are caused by a wider spectrum of HPV types that show more geographical variations. 11The 2 currently available vaccines, Cervarix TM (GlaxoSmithKline) and Gardasil TM (Merck Sharp and Dohme), contain HPV16 and HPV18 that altogether cover 70-80% of cervical cancers worldwide. 12-15 These vaccines contain virus-like particles, which induce antibody response that is quite specific to the individual HPV type with limited cross-neutralization even for closely related types. 16 This raises a question on cross-protection. However, the bivalent vaccine, Cervarix TM , adjuvanted with ASO4 reported partial cross-protection against HPV16-related (HPV31) and HPV18-related (HPV45) types. The protection for incident infection with HPV31 was 54.5% (95% CI: 11.5-77.7%) and was 94.2% (95% CI: 63.3-99.9%) for HPV45. 12,13 Furthermore, unpublished data presented at scientific conferences indicate that the quadrivalent vaccine (Gardasil TM ) adjuvanted with aluminiumhydroxy-phosphate sulphate also offers partial cross-protection against intraepithelial lesions caused by HPV16-related types (mainly HPV31). 17,18 Another issue of concern is type replacement following a large-scale administ...

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“…[21][22][23] ). The coefficient of variation for the duration of infection of HPV-16 reported by Trottier et al 23 is 8.1%, so these values are no longer key uncertainties. What is not clear, as will be discussed below, is that these durations of infection correspond to durations of infectiousness.…”

Section: Overview Of Transmission Modellingmentioning

confidence: 99%

“…The problem arises when attempting to reconcile population-based epidemiological studies of HPV prevalence with a mathematical model: on one hand, it is easiest to use simple classifications in a model (such as 'susceptible', 'infectious' or 'recovered'), but on the other hand, there is no empirical test for dividing the population into these classes. Most mathematical models do not 23 reported a mean HPV-16 prevalence of 2.7% for women aged 18-60. Consider the following calculation, which illustrates how simple interpretations of DNA positivity and immunity cannot be reconciled with epidemiological data.…”

Section: How Do We Interpret Dna Positivity?mentioning

confidence: 99%

Unresolved questions concerning human papillomavirus infection and transmission: a modelling perspective

2010

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Abstract. Mathematical transmission models are widely used to forecast the potential impact of interventions such as vaccination and to inform the development of health policy. Effective vaccines are now available for the prevention of cervical cancer and other diseases attributable to human papillomavirus (HPV). Considerable uncertainties remain regarding the characterisation of HPV infection and its sequelae, infectivity, and both vaccine-conferred and naturallyacquired immunity. In this review, we discuss the key knowledge gaps that impact on our ability to develop accurate models of HPV transmission and vaccination.

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Type‐Specific Duration of Human Papillomavirus Infection: Implications for Human Papillomavirus Screening and Vaccination

Abstract: There was considerable variation among HPV types with regard to the duration of infection. Coinfection with multiple types contributed to an increased infection duration.

Cited by 155 publications

References 39 publications

Type-Specific Incidence and Persistence of HPV Infection among Young Women: A Prospective Study in North India

Type-Specific Incidence and Persistence of HPV Infection among Young Women: A Prospective Study in North India

Distribution of human papillomavirus types in cervical cancers in Hong Kong: Current situation and changes over the last decades

Unresolved questions concerning human papillomavirus infection and transmission: a modelling perspective

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