Literature DB >> 24610876

Risk of newly detected infections and cervical abnormalities in women seropositive for naturally acquired human papillomavirus type 16/18 antibodies: analysis of the control arm of PATRICIA.

Xavier Castellsagué1, Paulo Naud2, Song-Nan Chow3, Cosette M Wheeler4, Maria Julieta V Germar5, Matti Lehtinen6, Jorma Paavonen7, Unnop Jaisamrarn8, Suzanne M Garland9, Jorge Salmerón10, Dan Apter11, Henry Kitchener12, Julio C Teixeira13, S Rachel Skinner14, Genara Limson15, Anne Szarewski16, Barbara Romanowski17, Fred Y Aoki18, Tino F Schwarz19, Willy A J Poppe20, F Xavier Bosch21, Newton S de Carvalho22, Klaus Peters23, Wiebren A A Tjalma24, Mahboobeh Safaeian25, Alice Raillard26, Dominique Descamps27, Frank Struyf27, Gary Dubin28, Dominique Rosillon27, Laurence Baril27.   

Abstract

BACKGROUND: We examined risk of newly detected human papillomavirus (HPV) infection and cervical abnormalities in relation to HPV type 16/18 antibody levels at enrollment in PATRICIA (Papilloma Trial Against Cancer in Young Adults; NCT00122681).
METHODS: Using Poisson regression, we compared risk of newly detected infection and cervical abnormalities associated with HPV-16/18 between seronegative vs seropositive women (15-25 years) in the control arm (DNA negative at baseline for the corresponding HPV type [HPV-16: n = 8193; HPV-18: n = 8463]).
RESULTS: High titers of naturally acquired HPV-16 antibodies and/or linear trend for increasing antibody levels were significantly associated with lower risk of incident and persistent infection, atypical squamous cells of undetermined significance or greater (ASCUS+), and cervical intraepithelial neoplasia grades 1/2 or greater (CIN1+, CIN2+). For HPV-18, although seropositivity was associated with lower risk of ASCUS+ and CIN1+, no association between naturally acquired antibodies and infection was demonstrated. Naturally acquired HPV-16 antibody levels of 371 (95% confidence interval [CI], 242-794), 204 (95% CI, 129-480), and 480 (95% CI, 250-5756) EU/mL were associated with 90% reduction of incident infection, 6-month persistent infection, and ASCUS+, respectively.
CONCLUSIONS: Naturally acquired antibodies to HPV-16, and to a lesser extent HPV-18, are associated with some reduced risk of subsequent infection and cervical abnormalities associated with the same HPV type.
© The Author 2014. Published by Oxford University Press on behalf of the Infectious Diseases Society of America.

Entities:  

Keywords:  HPV; cervical abnormality; infection; naturally acquired antibodies; risk reduction

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Substances:

Year:  2014        PMID: 24610876      PMCID: PMC4111909          DOI: 10.1093/infdis/jiu139

Source DB:  PubMed          Journal:  J Infect Dis        ISSN: 0022-1899            Impact factor:   5.226


Human papillomavirus (HPV) types 16 and 18 cause approximately 70% of invasive cervical cancer worldwide [1]. Two prophylactic vaccines against HPV infection are available and have been shown to prevent persistent HPV infection and precancerous cervical abnormalities associated with HPV-16/18 [2-6]. Approximately 50%–70% of women develop serum antibodies after naturally acquired infection with HPV-16 or HPV-18 [7-13]. Naturally acquired antibodies can remain detectable for at least 4–5 years, albeit at much lower levels than those induced by vaccination [14]. Whereas some studies have not shown an immune protection role for naturally acquired antibodies [15-18], others have shown that they may provide protection against future infection [19-21]. Underpowering of studies and differences in methodology may explain these discrepancies. In addition, the levels of naturally acquired antibodies that may provide protection have not yet been established. Vaccine efficacy data from the Papilloma Trial Against Cancer in Young Adults (PATRICIA) of the HPV-16/18 AS04-adjuvanted vaccine (Cervarix®) have been reported previously [3, 22–24]. The intensive follow-up of the control arm of large vaccine trials provides an opportunity to evaluate the natural history of HPV infection, including the impact of naturally induced antibodies on infection and cervical abnormalities. The present paper describes an analysis of the risk of newly detected HPV infection and development of cervical abnormalities according to the baseline level of naturally acquired antibodies to HPV-16 or HPV-18 in women from the control group of PATRICIA over a 4-year follow-up.

METHODS

This analysis was based on data obtained from the control arm of the multinational (14 countries), double-blind, randomized , controlled PATRICIA trial. The objective was to investigate whether naturally acquired antibodies to HPV-16 or HPV-18 reduced the risk of newly detected infection and/or associated cervical abnormalities with the same HPV type.

Study Population and Procedures

The clinical trial methodology has been described in detail [3, 22]. Women aged 15–25 years with no more than 6 lifetime sexual partners were enrolled and randomized to the HPV-16/18 AS04-adjuvanted vaccine or control hepatitis A vaccine (both supplied by GlaxoSmithKline Vaccines, Rixensart, Belgium). Data from the control arm are reported here. Cervical liquid-based cytology samples were collected at baseline and every 6 months and used to perform HPV DNA typing every 6 months and for cytopathological examination (Bethesda system) every 12 months. A prespecified algorithm for abnormal cytology and colposcopy referral was used [23]. Cervical samples and biopsy material were tested for HPV DNA as previously described [25]. Serum antibodies to HPV-16 and HPV-18 were determined at baseline by enzyme-linked immunosorbent assay (ELISA) targeting L1-based virus-like particles (VLPs) [26]. Seropositivity was defined as an antibody level greater than or equal to the assay threshold: 8 ELISA units (EU)/mL for HPV-16 and 7 EU/mL for HPV-18 [26]. Endpoints were incident infection (which may include newly acquired infections and recurrent infections present below detection levels at baseline), 6- and 12-month persistent infection, atypical squamous cell of undetermined significance or greater (ASCUS+), cervical intraepithelial neoplasia (CIN) grade 1 or greater (CIN1+), and CIN grade 2 or greater (CIN2+) associated with HPV-16 or HPV-18. All CIN cases were reviewed by an independent endpoint committee [22]. Women completed a behavioral questionnaire, which asked about experience with sexual intercourse (age at first sexual intercourse and number of partners over the past 12 months) and lifetime tobacco exposure at the second study visit, 1 month after the first vaccination, and yearly thereafter. The term sexual intercourse included penetrative, genital-to-genital, or oral–genital sexual contact. Written informed consent or assent was obtained and the protocol and other materials were approved by local independent ethics committees or institutional review boards. The trial was carried out in accordance with the Code of Ethics of the World Medical Association (Declaration of Helsinki) and is registered at ClinicalTrials.gov under registration number NCT00122681.

Statistical Analysis

Analysis Cohort

The analysis was performed in the control group of the total vaccinated cohort for efficacy, including women who received at least 1 dose of control vaccine and had normal or low-grade cytology at baseline. The analysis included only women who had potentially been exposed to HPV infection via sexual intercourse and those without current HPV infections at baseline (Figure 1). Thus, only newly detected infections (new infections or possibly recurrent infections present below detectable levels at baseline) were accounted for in the analysis.
Figure 1.

Participant disposition. Abbreviations: ASCUS, atypical squamous cells of undetermined significance; CIN, cervical intraepithelial neoplasia; HPV, human papillomavirus; MO, Month 0; TVC-E, total vaccinated cohort for efficacy.

Participant disposition. Abbreviations: ASCUS, atypical squamous cells of undetermined significance; CIN, cervical intraepithelial neoplasia; HPV, human papillomavirus; MO, Month 0; TVC-E, total vaccinated cohort for efficacy.

Exposure Variables

The main exposure variables were HPV-16 and HPV-18 serostatus at baseline. Serostatus was analyzed as (1) a binary variable (seropositive or seronegative) according to ELISA assay threshold, and (2) according to quartiles in seropositive women (8–12, >12–21, >21–59, and >59–2805 EU/mL for HPV-16; 7–10, >10–17, >17–43, and >43–1086 EU/mL for HPV-18). We report both univariate and multivariable analyses. Based on established risk factors known to influence the risk of HPV infection, and a previous analysis of risk factors for HPV infection and cervical abnormalities in the PATRICIA study [27], the following covariates were taken into account in the multivariable analyses: marital status, tobacco exposure (number of pack-years), age at first sexual intercourse, number of sexual partners, history of sexually transmitted infection (STI), at least 1 previous pregnancy, and region. Other covariates known to influence the risk of HPV infection were not included in the multivariable analyses because of strong correlations with the above covariates: condom use was correlated with STI, age at first sexual intercourse was correlated with age at baseline, and at least 1 previous pregnancy was correlated with at least 1 delivery. The hazard ratio estimates were found to be very similar using both approaches, and therefore discussion of the results focuses on the multivariable analyses.

General Statistical Considerations and Multivariable Regression Analyses

All analyses were performed using SAS version 9.2. The incidence rate was calculated as the number of incident events divided by the total person-time. Person-years were calculated as the sum of the follow-up for each participant expressed in years. The follow-up period started on the day after first vaccination and ended on the first occurrence of the endpoint or the last visit (whichever occurred first). The relationship between the exposure variables and the risk of newly detected infection or cervical abnormalities was assessed using Poisson regression analyses. First, the effect of the exposure variables on the endpoints was evaluated based on the relative incidence rates (rate ratios) and their 95% confidence intervals (CIs) obtained by Poisson regression. The final multivariable analysis allowed estimation of the relative role of initial HPV-16 or HPV-18 serostatus while adjusting for the simultaneous effects of the 7 covariates selected as potential confounders. Only subjects with no missing data were included in the multivariable analyses; however, the analyses were also performed taking into account missing data as a specific category for each covariate. The results were very similar (data not shown). Second, the relationship between the risk of newly detected infection or cervical abnormalities and the baseline antibody level was analyzed using Poisson regression including antibody titer as a continuous variable. Seronegative women were assigned a value of half the ELISA assay cutoff level. Predicted antibody titers corresponding to a 50%, 70%, and 90% risk reduction were derived. Age at first sexual intercourse and smoking were included as covariates in a sensitivity analysis. Because of the large proportion (85%) of seronegative subjects at baseline, sensitivity analyses including a subset of 100 randomly selected seronegative subjects were also carried out.

RESULTS

Participant Characteristics at Study Entry

A total of 8193 (1246 HPV-16 seropositive [15.2%] and 6947 HPV-16 seronegative [84.8%]) and 8463 (916 HPV-18 seropositive [10.8%] and 7547 HPV-18 seronegative [89.2%]) women were included in the analysis of HPV-16– and HPV-18–related endpoints, respectively (Figure 1; Table 1).
Table 1.

Frequency Distribution of Exposure Variables, Age Group, and Country According to Initial Serostatus in Women Who Were DNA Negative for the Corresponding Human Papillomavirus Type at Baseline

Exposure VariableaCategoriesHPV-16 Initial Serostatus, No. (%)
HPV-18 Initial Serostatus, No. (%)
Seronegative (n = 6947)Seropositive (n = 1246)Seronegative (n = 7547)Seropositive (n = 916)
Initial antibody titer (seropositive only)Geometric mean titer (95% CI)28.9 (27.2–30·7)23.0 (21.5–24.6)
Median (range)21.0 (8–2805)17.0 (7–1086)
Quartile (Q1-Q3)12.0–59.010.0–43.0
Age at baseline15–17 y2349 (33.8)259 (20.8)2516 (33.3)185 (20.2)
18–25 y4598 (66.2)987 (79.2)5031 (66.7)731 (79.8)
CountryFinland1925 (27.7)203 (16.3)2060 (27.3)135 (14.7)
Philippines956 (13.8)156 (12.5)1004 (13.3)119 (13.0)
United States832 (12.0)233 (18.7)979 (13.0)141 (15.4)
Thailand726 (10.5)117 (9.4)725 (9.6)121 (13.2)
Brazil601 (8.7)206 (16.5)675 (8.9)167 (18.2)
Taiwan557 (8.0)70 (5.6)586 (7.8)50 (5.5)
Mexico354 (5.1)81 (6.5)393 (5.2)53 (5.8)
Germany286 (4.1)47 (3.8)324 (4.3)37 (4.0)
Australia201 (2.9)33 (2.7)229 (3.0)21 (2.3)
Canada168 (2.4)44 (3.5)196 (2.6)38 (4.2)
Spain165 (2.4)15 (1.2)180 (2.4)8 (0.9)
United Kingdom90 (1.3)30 (2.4)105 (1.4)22 (2.4)
Belgium71 (1.0)9 (0.7)74 (1.0)4 (0.4)
Italy15 (0.2)2 (0.2)17 (0.2)0
Marital statusLiving or lived with partner2166 (31.2)461 (37.0)2315 (30.7)358 (39.1)
Singleb4677 (67.3)761 (61.1)5118 (67.8)539 (58.8)
Missing104 (1.5)24 (1.9)114 (1.5)19 (2.1)
Tobacco exposure, No. of pack-yearsNone or <6 mo (<0.5)4942 (71.1)785 (63.0)5243 (69.5)597 (65.2)
At least 6 mo (≥0.5)1937 (27.9)447 (35.9)2231 (29.6)308 (33.6)
Missing68 (1.0)14 (1.1)73 (1.0)11 (1.2)
Age at first sexual intercourse≥18 y2844 (40.9)434 (34.8)3033 (40.2)314 (34.3)
15–17 y3321 (47.8)615 (49.4)3589 (47.6)479 (52.3)
<15 y769 (11.1)192 (15.4)909 (12.0)122 (13.3)
Missing13 (0.2)5 (0.4)16 (0.2)1 (0.1)
No. of sexual partners prior to the past 12 moc01664 (24.0)132 (10.6)1700 (22.5)117 (12.8)
13396 (48.9)542 (43.5)3608 (47.8)407 (44.4)
2–31347 (19.4)358 (28.7)1572 (20.8)248 (27.1)
≥4499 (7.2)204 (16.4)619 (8.2)139 (15.2)
Missing41 (0.6)10 (0.8)48 (0.6)5 (0.6)
No. of sexual partners during the past 12 moc01067 (15.4)88 (7.1)1095 (14.5)67 (7.3)
14605 (66.3)888 (71.3)4971 (65.9)656 (71.6)
2–31081 (15.6)216 (17.3)1243 (16.5)161 (17.6)
≥4171 (2.5)47 (3.8)212 (2.8)27 (3.0)
Missing23 (0.3)7 (0.6)26 (0.3)5 (0.6)
Condom use prior to the past 12 mocNo partner1694 (24.4)140 (11.2)1737 (23.0)119 (13.0)
Yes1682 (24.2)366 (29.4)1839 (24.4)264 (28.8)
No3448 (49.6)719 (57.7)3846 (51.0)511 (55.8)
Missing123 (1.8)21 (1.7)125 (1.7)22 (2.4)
Condom use during the past 12 mocNo partner1049 (15.1)87 (7.0)1076 (14.3)67 (7.3)
Yes2151 (31.0)451 (36.2)2357 (31.2)336 (36.7)
No3642 (52.4)690 (55.4)4003 (53.0)498 (54.4)
Missing105 (1.5)18 (1.4)111 (1.5)15 (1.6)
At least 1 previous pregnancyYes2139 (30.8)515 (41.3)2312 (30.6)391 (42.7)
No4778 (68.8)724 (58.1)5202 (68.9)520 (56.8)
Missing30 (0.4)7 (0.6)33 (0.4)5 (0.6)
At least 1 deliveryYes1481 (21.3)332 (26.7)1576 (20.9)267 (29.2)
No5430 (78.2)907 (72.8)5933 (78.6)643 (70.2)
Missing36 (0.5)7 (0.6)38 (0.5)6 (0.7)
STI historyNo6633 (95.5)1099 (88.2)7156 (94.8)814 (88.9)
Yes–Chlamydia trachomatis93 (1.3)61 (4.9)123 (1.6)41 (4.5)
Yes–other210 (3.0)84 (6.7)257 (3.4)58 (6.3)
Missing11 (0.2)2 (0.2)11 (0.2)3 (0.3)
Contraceptive usedNo contraception2526 (36.4)314 (25.2)2660 (35.3)229 (25.0)
Hormonal4188 (60.3)874 (70.1)4639 (61.5)638 (69.7)
Intrauterine device327 (4.7)92 (7.4)367 (4.9)65 (7.1)
Sterilized63 (0.9)20 (1.6)67 (0.9)15 (1.6)

Information on tobacco exposure, age at first sexual intercourse, number of sexual partners, pregnancy, and condom use was obtained from the behavioral questionnaire at baseline. Data from the behavioral questionnaires administered yearly during the follow-up period were used to estimate age at first sexual intercourse when sexual activity began during follow-up and to calculate the number of pregnancies during follow-up. Information on age at baseline (grouped as 15–17 and 18–25 years), marital status, country, contraceptive use (hormonal, intrauterine device, and sterilization), and STIs was obtained from case record forms. Countries were grouped by geographic region (Europe, Asia Pacific, Latin America, and North America).

Abbreviations: CI, confidence interval; HPV, human papillomavirus; STI, sexually transmitted infection.

a Only the following were considered as potential confounders in the multivariable analyses (as shown in Tables 2 and 3): marital status, tobacco exposure (number of pack-years), age at first sexual intercourse, number of sexual partners, STI history, at least 1 previous pregnancy, and region. Data on other variables are descriptive only; these variables were not included in the multivariable analysis because of strong correlations with other variables: condom use was correlated with STI; age at first sexual intercourse with age at baseline; at least 1 previous pregnancy with at least 1 delivery. Therefore, only STI, age at first sexual intercourse, and at least 1 previous pregnancy were kept in the multivariable analysis.

b Not married, widowed, divorced, separated, living with or had lived with partner.

c For analysis of HPV infection, the number of sexual partners during the past 12 months was considered; for analysis of atypical squamous cells of undetermined significance or greater, cervical intraepithelial neoplasia grade 1/2 or greater, the lifetime number of sexual partners prior to the past 12 months was considered.

d Women could be using >1 method of contraception.

Frequency Distribution of Exposure Variables, Age Group, and Country According to Initial Serostatus in Women Who Were DNA Negative for the Corresponding Human Papillomavirus Type at Baseline Information on tobacco exposure, age at first sexual intercourse, number of sexual partners, pregnancy, and condom use was obtained from the behavioral questionnaire at baseline. Data from the behavioral questionnaires administered yearly during the follow-up period were used to estimate age at first sexual intercourse when sexual activity began during follow-up and to calculate the number of pregnancies during follow-up. Information on age at baseline (grouped as 15–17 and 18–25 years), marital status, country, contraceptive use (hormonal, intrauterine device, and sterilization), and STIs was obtained from case record forms. Countries were grouped by geographic region (Europe, Asia Pacific, Latin America, and North America). Abbreviations: CI, confidence interval; HPV, human papillomavirus; STI, sexually transmitted infection. a Only the following were considered as potential confounders in the multivariable analyses (as shown in Tables 2 and 3): marital status, tobacco exposure (number of pack-years), age at first sexual intercourse, number of sexual partners, STI history, at least 1 previous pregnancy, and region. Data on other variables are descriptive only; these variables were not included in the multivariable analysis because of strong correlations with other variables: condom use was correlated with STI; age at first sexual intercourse with age at baseline; at least 1 previous pregnancy with at least 1 delivery. Therefore, only STI, age at first sexual intercourse, and at least 1 previous pregnancy were kept in the multivariable analysis. b Not married, widowed, divorced, separated, living with or had lived with partner. c For analysis of HPV infection, the number of sexual partners during the past 12 months was considered; for analysis of atypical squamous cells of undetermined significance or greater, cervical intraepithelial neoplasia grade 1/2 or greater, the lifetime number of sexual partners prior to the past 12 months was considered. d Women could be using >1 method of contraception.

Risk of Newly Detected HPV-16/18 Infection and Associated Cervical Abnormalities According to Levels of Naturally Acquired Antibodies

The multivariable analysis showed that the presence of naturally acquired antibodies to HPV-16 at baseline was associated with a lower risk of newly detected incident infection, 6- and 12-month persistent infection, and ASCUS+ associated with HPV-16 (Table 2; Figure 2A–C). The risk was gradually reduced as antibody levels rose. Although HPV-16 serostatus (positive vs negative) did not show a significant association with CIN1+, participants with an antibody level in the highest quartile at baseline did have a significantly reduced risk of developing CIN1+ compared with seronegative subjects, and the linear trend by quartile was statistically significant (P = .0006; Table 2). The linear trend by antibody quartile was also significant for CIN2+ (P = .018), although none of the individual quartile groups showed a significant reduction in risk (Table 2).
Table 2.

Risk of Newly Detected Human Papillomavirus Type 16 (HPV-16) Infections or Cervical Abnormalities Associated With HPV-16 According to Initial Serostatus (Univariate and Multivariable Regression Analyses) in Women Who Were HPV-16 DNA Negative at Baseline

EndpointSerostatus at BaselineNo. Cases With New EndpointNo. Cases Without New EndpointPYIncidence per 100 PYUnivariate AnalysisFinal Multivariable Analysis Adjusted on Confounders Retained
Rate Ratio (95% CI)Rate Ratio (95% CI)P Value
New HPV-16 incident infection (cases = 1185, noncases = 6787)aSeronegative1059571423 2994.551.001.00
Seropositive126107341143.060.67 (.56–.81)0.64 (.53–.78)<.0001
Seropositive, quartiles, EU/mL
 8–124328911253.820.84 (.62–1.14)0.89 (.65–1.21).45
 >12–21362359233.900.86 (.62–1.20)0.80 (.57–1.11).18
 >21–592927110162.850.63 (.43–.91)0.58 (.40–.85).0057
 >59–28051827810501.710.38 (.24–.60)0.34 (.21–.54)<.0001
P value for linear trend < .0001
New HPV-16 six-mo persistent infection (cases = 626, noncases = 7114)aSeronegative560602223 7872.351.001.00
Seropositive66109241951.570.67 (.52–.86)0.67 (.52–.87).0025
Seropositive, quartiles, EU/mL
 8–122729111462.361.00 (.68–1.47)1.09 (.74–1.61).67
 >12–21172479471.790.76 (.47–1.23)0.71 (.44–1.16).17
 >21–591327310371.250.53 (.31–.92)0.55 (.31–.95).033
 >59–2805928110650.850.36 (.19–.69)0.34 (.17–.65).0013
P value for linear trend < .0001
New HPV-16 twelve-mo persistent infection (cases = 405, noncases = 7234)aSeronegative362614324 1131.501.001.00
Seropositive43109142131.020.68 (.50–.93)0.68 (.49–.94).019
Seropositive, quartiles, EU/mL
 8–122129311521.821.21 (.78–1.89)1.31 (.84–2.04).23
 >12–21102489551.050.70 (.37–1.31)0.65 (.35–1.23).19
 >21–59926910340.870.58 (.30–1.12)0.59 (.30–1.15).12
 >59–2805328110730.280.19 (.06–.58)0.17 (.06–.55).0027
P value for linear trend < .0001
New ASCUS+ associated with HPV-16 (cases = 536, noncases = 7302)aSeronegative484617224 3471.991.001.00
Seropositive52113042511.220.62 (.46–.82)0.60 (.45–.80).0006
Seropositive, quartiles, EU/mL
 8–122030911761.700.86 (.55–1.34)0.91 (.58–1.42).67
 >12–21132539591.360.68 (.39–1.18)0.66 (.38–1.14).14
 >21–591128110491.050.53 (.29–.96)0.51 (.28–.93).028
 >59–2805828710670.750.38 (.19–.76)0.33 (.16–.67).0022
P value for linear trend < .0001
New CIN1+ associated with HPV-16 (cases = 177, noncases = 7661)aSeronegative157649924 9390.631.001.00
Seropositive20116243260.460.73 (.46–1.17)0.70 (.44–1.14).15
Seropositive, quartiles, EU/mL
 8–121031912040.831.32 (.70–2.50)1.38 (.72–2.64).33
 >12–2152619730.510.82 (.34–1.99)0.78 (.32–1.90).58
 >21–59428810630.380.60 (.22–1.61)0.56 (.21–1.52).26
 >59–2805129410860.090.15 (.02–1.05)0.13 (.02–.90).039
P value for linear trend = .0006
New CIN2+ associated with HPV-16 (cases = 121, noncases = 7717)aSeronegative109654724 9840.441.001.00
Seropositive12117043390.280.63 (.35–1.15)0.62 (.34–1.15).13
Seropositive, quartiles, EU/mL
 8–12632312080.501.14 (.50–2.59)1.21 (.53–2.76).66
 >12–2122649800.200.47 (.12–1.89)0.45 (.11–1.83).26
 >21–59328910650.280.65 (.21–2.03)0.63 (.20–1.99).43
 >59–2805129410860.090.21 (.03–1.51)0.19 (.03–1.38).10
P value for linear trend = .018

Incident infection was defined as a new detection of the HPV type at any time during the follow-up period; 6- and 12-month persistent infection were defined as detection of the same HPV type in 2 consecutive samples over a minimum of 150 days and 300 days, respectively; ASCUS+ was defined as ASCUS, low-grade squamous intraepithelial lesion (LSIL), atypical squamous cells/high-grade ASCUS, does not exclude high-grade squamous intraepithelial lesion (HSIL), atypical glandular cells of undetermined significance (AGUS), or HSIL. CIN1+ was defined as CIN1, CIN2, CIN3, adenocarcinoma in situ, or invasive cervical cancer; CIN2+ excluded CIN1.

Confounders (exposure variables) retained for the multivariable analysis were marital status, tobacco exposure (number of pack-years), age at first sexual intercourse, number of sexual partners prior to the past 12 months (ASCUS+, CIN1+, CIN2+), number of sexual partners during the past 12 months (incident and persistent infections), at least 1 previous pregnancy, sexually transmitted infection history, and region.

Linear trend was evaluated across 5 classes: (1) seronegative; (2) first quartile; (3) second quartile; (4) third quartile; (5) fourth quartile.

Abbreviations: ASCUS, atypical squamous cell of undetermined significance; CI, confidence interval; CIN, cervical intraepithelial neoplasia; HPV, human papillomavirus; PY, patient-years.

a No. of cases and noncases and patient-years reported for the univariate analysis.

Figure 2.

Cumulative probability of detecting an incident or 6-month persistent infection or developing atypical squamous cells of undetermined significance or greater (ASCUS+) associated with human papillomavirus type 16 (HPV-16). A, Incident HPV-16 infection. B, HPV-16 six-month persistent infection. C, ASCUS+ associated with HPV-16.

Risk of Newly Detected Human Papillomavirus Type 16 (HPV-16) Infections or Cervical Abnormalities Associated With HPV-16 According to Initial Serostatus (Univariate and Multivariable Regression Analyses) in Women Who Were HPV-16 DNA Negative at Baseline Incident infection was defined as a new detection of the HPV type at any time during the follow-up period; 6- and 12-month persistent infection were defined as detection of the same HPV type in 2 consecutive samples over a minimum of 150 days and 300 days, respectively; ASCUS+ was defined as ASCUS, low-grade squamous intraepithelial lesion (LSIL), atypical squamous cells/high-grade ASCUS, does not exclude high-grade squamous intraepithelial lesion (HSIL), atypical glandular cells of undetermined significance (AGUS), or HSIL. CIN1+ was defined as CIN1, CIN2, CIN3, adenocarcinoma in situ, or invasive cervical cancer; CIN2+ excluded CIN1. Confounders (exposure variables) retained for the multivariable analysis were marital status, tobacco exposure (number of pack-years), age at first sexual intercourse, number of sexual partners prior to the past 12 months (ASCUS+, CIN1+, CIN2+), number of sexual partners during the past 12 months (incident and persistent infections), at least 1 previous pregnancy, sexually transmitted infection history, and region. Linear trend was evaluated across 5 classes: (1) seronegative; (2) first quartile; (3) second quartile; (4) third quartile; (5) fourth quartile. Abbreviations: ASCUS, atypical squamous cell of undetermined significance; CI, confidence interval; CIN, cervical intraepithelial neoplasia; HPV, human papillomavirus; PY, patient-years. a No. of cases and noncases and patient-years reported for the univariate analysis. Cumulative probability of detecting an incident or 6-month persistent infection or developing atypical squamous cells of undetermined significance or greater (ASCUS+) associated with human papillomavirus type 16 (HPV-16). A, Incident HPV-16 infection. B, HPV-16 six-month persistent infection. C, ASCUS+ associated with HPV-16. Seropositivity to HPV-18 at baseline was not significantly associated with a lower risk of newly detected incident infection or persistent infection (Table 3; Figure 3A and 3B). However, baseline HPV-18 serostatus (positive vs negative) showed a significant association with ASCUS+ and CIN1+ (Table 3; Figure 3C). There was no apparent effect of naturally acquired antibodies according to quartile (Table 3).
Table 3.

Risk of Newly Detected Human Papillomavirus Type 18 (HPV-18) Infections or Cervical Abnormalities Associated With HPV-18 According to Initial Serostatus (Univariate and Multivariable Regression Analyses) in Women Who Were HPV-18 DNA Negative at Baseline

EndpointSerostatus at BaselineNo. Cases With New EndpointNo. Cases Without New EndpointPYIncidence Per 100 PYUnivariate AnalysisFinal Multivariable Analysis Adjusted on Confounders Retained
Rate Ratio (95% CI)Rate Ratio (95% CI)P Value
New HPV-18 incident infection (cases = 837, noncases = 7388)aSeronegative755658125 9172.911.001.00
Seropositive8280731212.630.90 (.72–1.13)0.94 (.75–1.19).61
Seropositive, quartiles, EU/mL
 7–10272238593.141.08 (.74–1.58)1.24 (.84–1.82).28
 >10–17161887392.160.74 (.45–1.22)0.75 (.46–1.23).26
 >17–43211947612.760.95 (.61–1.46)0.96 (.62–1.49).86
 >43–1086182027622.360.81 (.51–1.29)0.81 (.50–1.30).38
P value for linear trend = .22
New HPV-18 six-mo persistent infection (cases = 297, noncases = 7685)aSeronegative272684826 4261.031.001.00
Seropositive2583732020.780.76 (.50–1.14)0.86 (.56–1.30).46
Seropositive, quartiles, EU/mL
 7–1082358870.900.88 (.43–1.77)1.09 (.54–2.21).80
 >10–1771927560.930.90 (.43–1.91)0.94 (.44–2.01).88
 >17–4362047800.770.75 (.33–1.68)0.81 (.36–1.83).61
 >43–108642067790.510.50 (.19–1.34)0.56 (.21–1.51).25
P value for linear trend = .17
New HPV-18 twelve-mo persistent infection (cases = 147, noncases = 7724)aSeronegative137688926 5920.521.001.00
Seropositive1083532100.310.60 (.32–1.15)0.66 (.34–1.26).21
Seropositive, quartiles, EU/mL
 7–1022358940.220.43 (.11–1.75)0.56 (.14–2.26).41
 >10–1731937560.400.77 (.25–2.42)0.79 (.25–2.49).69
 >17–4322067860.250.49 (.12–2.00)0.52 (.13–2.13).37
 >43–108632017740.390.75 (.24–2.36)0.75 (.23–2.39).63
P value for linear trend = .68
New ASCUS+ associated with HPV-18 (cases = 338, noncases = 7745)aSeronegative316689226 5711.191.001.00
Seropositive2285332220.680.57 (.37–.88)0.64 (.41–.99).043
Seropositive, quartiles, EU/mL
 7–1072378920.790.66 (.31–1.40)0.81 (.38–1.72).58
 >10–1751957560.660.56 (.23–1.34)0.60 (.25–1.46).26
 >17–4342097890.510.43 (.16–1.14)0.46 (.17–1.25).13
 >43–108662127860.760.64 (.29–1.44)0.67 (.29–1.51).33
P value for linear trend = .17
New CIN1+ associated with HPV-18 (cases = 67, noncases = 8016)aSeronegative66714227 0260.241.001.00
Seropositive187432660.030.13 (.02–.90)0.13 (.02–.94).043
Seropositive, quartiles, EU/mL
 7–1002449040.00NDNDND
 >10–1702007690.00NDNDND
 >17–4302137960.00NDNDND
 >43–108612177970.130.51 (.07–3.70)NDND
New CIN2+ associated with HPV-18 (cases = 34, noncases = 8049)aSeronegative34717427 0620.131.00NDND
Seropositive087532670.00NDNDND
Seropositive, quartiles, EU/mL
 7–1002449040.00NDNDND
 >10–1702007690.00NDNDND
 >17–4302137960.00NDNDND
 >43–108602187980.00NDNDND

Incident infection was defined as a new detection of the HPV type at any time during the follow-up period; 6- and 12-month persistent infection were defined as detection of the same HPV type in 2 consecutive samples over a minimum of 150 days and 300 days, respectively; ASCUS+ was defined as ASCUS, low-grade squamous intraepithelial lesion (LSIL), atypical squamous cells/high-grade ASCUS, does not exclude high-grade squamous intraepithelial lesion (HSIL), atypical glandular cells of undetermined significance (AGUS), or HSIL. CIN1+ was defined as CIN1, CIN2, CIN3, adenocarcinoma in situ, or invasive cervical cancer; CIN2+ excluded CIN1.

Confounders (exposure variables) retained for the multivariable analysis were marital status, tobacco exposure (number of pack-years), age at first sexual intercourse, number of sexual partners prior to the past 12 months (ASCUS+, CIN1+, CIN2+), number of sexual partners during the past 12 months (incident and persistent infections), at least 1 previous pregnancy, sexually transmitted infection history, and region.

Linear trend was evaluated across 5 classes: (1) seronegative; (2) first quartile; (3) second quartile; (4) third quartile; (5) fourth quartile.

Abbreviations: ASCUS, atypical squamous cell of undetermined significance; CI, confidence interval; CIN, cervical intraepithelial neoplasia; HPV, human papillomavirus; ND, analysis not performed because of too few cases for inferential analysis; PY, patient years.

a No. of cases and noncases and patient-years reported for the univariate analysis.

Figure 3.

Cumulative probability of detecting an incident or 6-month persistent infection or developing atypical squamous cells of undetermined significance or greater (ASCUS+) associated with human papillomavirus type 18 (HPV-18). A, Incident HPV-18 infection. B, HPV-18 six-month persistent infection. C, ASCUS+ associated with HPV-18.

Risk of Newly Detected Human Papillomavirus Type 18 (HPV-18) Infections or Cervical Abnormalities Associated With HPV-18 According to Initial Serostatus (Univariate and Multivariable Regression Analyses) in Women Who Were HPV-18 DNA Negative at Baseline Incident infection was defined as a new detection of the HPV type at any time during the follow-up period; 6- and 12-month persistent infection were defined as detection of the same HPV type in 2 consecutive samples over a minimum of 150 days and 300 days, respectively; ASCUS+ was defined as ASCUS, low-grade squamous intraepithelial lesion (LSIL), atypical squamous cells/high-grade ASCUS, does not exclude high-grade squamous intraepithelial lesion (HSIL), atypical glandular cells of undetermined significance (AGUS), or HSIL. CIN1+ was defined as CIN1, CIN2, CIN3, adenocarcinoma in situ, or invasive cervical cancer; CIN2+ excluded CIN1. Confounders (exposure variables) retained for the multivariable analysis were marital status, tobacco exposure (number of pack-years), age at first sexual intercourse, number of sexual partners prior to the past 12 months (ASCUS+, CIN1+, CIN2+), number of sexual partners during the past 12 months (incident and persistent infections), at least 1 previous pregnancy, sexually transmitted infection history, and region. Linear trend was evaluated across 5 classes: (1) seronegative; (2) first quartile; (3) second quartile; (4) third quartile; (5) fourth quartile. Abbreviations: ASCUS, atypical squamous cell of undetermined significance; CI, confidence interval; CIN, cervical intraepithelial neoplasia; HPV, human papillomavirus; ND, analysis not performed because of too few cases for inferential analysis; PY, patient years. a No. of cases and noncases and patient-years reported for the univariate analysis. Cumulative probability of detecting an incident or 6-month persistent infection or developing atypical squamous cells of undetermined significance or greater (ASCUS+) associated with human papillomavirus type 18 (HPV-18). A, Incident HPV-18 infection. B, HPV-18 six-month persistent infection. C, ASCUS+ associated with HPV-18. Several covariates were shown to be significantly associated with new HPV-16 and HPV-18 incident infections in the multivariable analysis (Supplementary Tables 1 and 2). Figure 4A and 4B show the relationship between HPV-16 antibody level and 6-month persistent infection or ASCUS+ associated with HPV-16. The frequency of 6-month persistent HPV-16 infection declined as antibodies rose. An HPV-16 antibody level of 204 (95% CI, 129–480) EU/mL yielded a 90% reduction in 6-month persistent infection; values for a 70% and 50% reduction were 107 (95% CI, 68–251) and 61 (95% CI, 39–144) EU/mL, respectively (Figure 4A). A corresponding analysis for ASCUS+ showed that an HPV-16 antibody level of 480 (95% CI, 250–5756), 251 (95% CI, 131–3010) and 144 (95% CI, 75–1733) EU/mL yielded 90%, 70%, and 50% reductions, respectively (Figure 4B). With regard to incident HPV infection, an HPV-16 antibody level of 371 (95% CI, 242–794) EU/mL yielded a 90% reduction in incident infection; values for a 70% and 50% reduction were 194 (95% CI, 118–415) and 112 (95% CI, 73–415) EU/mL, respectively. Sensitivity analyses produced similar results.
Figure 4.

Relationship between initial antibody level and 6-month persistent infection or atypical squamous cells of undetermined significance or greater (ASCUS+) associated with human papillomavirus type 16. A, 6-month persistent infection. B, ASCUS+. The dot size is proportional to the number of subjects, the gray dot represents all seronegative subjects, and red dots represent approximately 5-percentile classes of seropositive subjects. The solid blue line corresponds to the Poisson regression model (the dotted lines are 95% confidence limits). The dotted red lines correspond to a 50%, 70%, and 90% reduction of the incidence of the endpoint (6-month persistent infection or ASCUS+), and the values in red are the corresponding threshold values of antibody titer. Sensitivity analyses including the covariates of age at first sexual intercourse and smoking history, or including only a subset of 100 seronegative subjects, produced similar results. For example, including the covariates of age at first sexual intercourse and smoking history for all seronegative subjects, the estimated antibody titers (with 95% confidence interval) yielding 90%, 70%, and 50% reductions in 6-month persistent infection were 180 (118–377), 94 (62–197), and 54 (36–114) EU/mL, respectively. Abbreviations: CI, confidence interval; ELISA, enzyme-linked immunosorbent assay; HPV-16, human papillomavirus type 16.

Relationship between initial antibody level and 6-month persistent infection or atypical squamous cells of undetermined significance or greater (ASCUS+) associated with human papillomavirus type 16. A, 6-month persistent infection. B, ASCUS+. The dot size is proportional to the number of subjects, the gray dot represents all seronegative subjects, and red dots represent approximately 5-percentile classes of seropositive subjects. The solid blue line corresponds to the Poisson regression model (the dotted lines are 95% confidence limits). The dotted red lines correspond to a 50%, 70%, and 90% reduction of the incidence of the endpoint (6-month persistent infection or ASCUS+), and the values in red are the corresponding threshold values of antibody titer. Sensitivity analyses including the covariates of age at first sexual intercourse and smoking history, or including only a subset of 100 seronegative subjects, produced similar results. For example, including the covariates of age at first sexual intercourse and smoking history for all seronegative subjects, the estimated antibody titers (with 95% confidence interval) yielding 90%, 70%, and 50% reductions in 6-month persistent infection were 180 (118–377), 94 (62–197), and 54 (36–114) EU/mL, respectively. Abbreviations: CI, confidence interval; ELISA, enzyme-linked immunosorbent assay; HPV-16, human papillomavirus type 16.

DISCUSSION

This study focused on the role of naturally acquired antibodies in prevention of newly detected HPV infection and associated cervical abnormalities in sexually active women who had no severe cervical abnormalities and no evidence of an active HPV infection (ie, were DNA negative for the type under consideration) at study entry. The results show that women with higher levels of naturally acquired antibodies to HPV-16 detected using an L1-based VLP assay had a lower risk of a subsequent newly detected infection or cervical abnormality associated with HPV-16. There was a similar effect for HPV-18, although the association was weaker and the relationship between the antibody level against HPV-18 L1-based VLPs and newly detected infection and associated abnormalities was not significant. There was a clear pattern of reduced risk of a newly detected incident infection, persistent infection, ASCUS+, or CIN1+ associated with HPV-16 as baseline antibody levels rose, and the linear trend by antibody quartile was significant for all endpoints. Only the highest level of natural antibodies reduced new CIN1+ associated with HPV-16, whereas natural antibodies above the median (21 EU/mL) reduced the occurrence of ASCUS+. The evidence was less clear for CIN2+, due to fewer cases, but the linear trend by antibody quartile was also significant. The present results did not show a reduced risk of infection or disease with higher levels of HPV-18 antibodies. However, the analysis of HPV-18 serostatus (positive vs negative) showed some evidence for a reduced incidence of ASCUS+ and, with a lower number of cases, of CIN1+ among seropositive women, suggesting that naturally acquired HPV-18 antibodies might play some protective role in the prevention of associated abnormalities. The same analyses for HPV-31, HPV-33, and HPV-45, which are closely related to HPV-16 or HPV-18, did not show a significant association (data not shown); these analyses were, however, severely limited by the low number of related cases. It was interesting to note the very similar results obtained with the univariate and multivariable models. A number of covariates were taken into account in the multivariable analyses, based on established risk factors known to influence the risk of HPV infection, but results were independent of potential confounders accounted for. The similarity of the two approaches reinforces the robustness of the results. As expected, no cases of cervical cancer were seen, due to the young age of women in the study and the intensive follow-up for CIN2 detection. Several studies have been unable to draw clear conclusions regarding the role of naturally acquired antibodies in preventing subsequent HPV infection [15–19, 28]. However, the findings of the Costa Rica Vaccine Trial indicated that women with antibody titers in the highest tertile for HPV-16 and HPV-18 (≥60 and ≥28 EU/mL, respectively) had a significantly lower risk of an incident cervical infection with the same HPV type [20]. Although the analyses of the Costa Rica Vaccine Trial and our study were conducted in a similar way, used the same ELISA technique, and controlled for similar demographic and behavioral characteristics, there are some differences, including subjects' age (18–25 years in the Costa Rica Vaccine Trial), and a wider geographic distribution and higher number of subjects in our study, which gave our study a greater power to identify significant effects. In addition, for the women included in the control arms, HPV-16 and HPV-18 DNA was detected in 8.6% and 3.1%, respectively, of women in the Costa Rica Vaccine Trial, compared with 5.2% and 2.3% in our study. Similarly, HPV-16 and HPV-18 seroprevalence was lower in our study (15.2% and 10.8%, respectively) than in the Costa Rica Vaccine Trial (25% for both HPV-16 and HPV-18). These differences may indicate that women in the Costa Rica Vaccine Trial might have been more likely to have had a past exposure to HPV and thus more time to mount a natural antibody response. Our results extend those of the Costa Rica Vaccine trial to persistent infection, ASCUS+, CIN1+, and CIN2+. The present study is the first to demonstrate a statistically significant quantitative relationship between titers of naturally acquired antibodies to HPV-16 and the incidence of newly detected and 6-month persistent HPV-16 infection and HPV-16-associated ASCUS+. Antibody titers of approximately 370, 204, and 480 EU/mL were associated with a 90% risk reduction of incident infection, 6-month persistent infection, and ASCUS+, respectively. However, these values do not represent correlates of protection with regard to antibody levels induced by vaccination, because there are certainly some differences between naturally acquired vs vaccine-induced antibody production. For example, the mechanism of exposure of the immune system to HPV antigens via vaccination allows induction of a higher antibody level. In PATRICIA, antibody titer 1 month after the full vaccination course was 9341.5 (95% CI, 8760.4–9961.1) and 4769.6 (95% CI, 4491.2–5065.3) EU/mL for HPV-16 and HPV-18 antibodies, respectively [22]. Antibody properties such as affinity, avidity, and specificity may also be different. In addition, naturally acquired HPV infections potentially enable broad exposure of many HPV-specific proteins during the virus life cycle, unlike HPV vaccines based on L1 VLPs. Thus, natural infections are likely not restricted to the generation of L1 antibody responses but would be expected to include a spectrum of HPV-specific cell-mediated and humoral immune responses that could contribute to reduction in new infection. In the Costa Rica vaccine study, the HPV-16 antibody titer at 48 months after 1 dose was 137 EU/mL; the 90th percentile was 703 EU/mL [29]. In the present study, the HPV-16 antibody levels producing a 90% reduction in incident infection, 6-month persistent infection, and ASCUS+ were, respectively, 371 EU/mL, 204 EU/mL, and 480 EU/mL. Corresponding values for a 70% reduction were 194 EU/mL, 107 EU/mL, and 251 EU/mL. These estimates might be useful as we move toward understanding minimal levels of HPV protective antibodies. Analyses of PATRICIA and the Costa Rica Vaccine Trial strongly suggest that higher levels of naturally acquired antibodies play a role in preventing newly detected HPV infections and associated abnormalities. Although a correlate of protection for vaccine-induced antibodies cannot firmly be inferred, as described above, it is worth noting that the levels that appear to be associated with some reduction of risk are considerably below the levels of vaccine-induced antibodies found in clinical trials of the HPV-16/18 vaccine in which protection against CIN2+, CIN3+, and adenocarcinoma in situ has been demonstrated [2, 3, 22, 23], and also considerably below the levels sustained up to 8.4 years after vaccination [30]. The analysis had some unavoidable limitations. We do not know when women were exposed to HPV infection prior to the study, so we could not distinguish whether the antibody level at baseline was the peak from a recent exposure, or had declined over time from a higher level. Many women with HPV infection never develop detectable antibodies [7–13, 31, 32], so some seronegative women may have been previously exposed to infection. These women may have mounted a cell-mediated immune response against HPV, which may have reduced the risk of CIN2+ development. This could have underestimated the protective effect. However, this limitation would not apply to the observation of increasing protection with titer. A further limitation is that it is not possible to distinguish between reinfection (a new HPV infection) and recurrence of an existing infection that was quiescent or had persisted at an undetectable level. It has been shown that women can experience recurrence of a type-specific infection after a period of nondetection [33]. Our findings suggest that the reduction of risk associated with naturally acquired antibodies might apply to both new and recurrent HPV infections. We have focused on ASCUS+ and CIN1+ as cervical abnormalities because few CIN2+ cases were detected. However, the limited utility of ASCUS+ and CIN1+ as disease-related endpoints should be noted. The quality of the serologic assay is important in classifying women as previously exposed or unexposed, and measurement of the antibody response is dependent upon the assay, its specificity, and the cutoff value. There is variability in the measurement of the lower antibody titers as shown in the quantitative models (Figure 4A and 4B). Therefore, some women with antibody levels close to the threshold value could have been misclassified as seropositive or seronegative. The ELISA assay used in PATRICIA and the Costa Rica study has two disadvantages [34]: it potentially measures nonneutralizing antibodies (which would not be protective as neutralizing antibodies are likely to form the main basis for vaccine-induced protection against HPV infection), and it detects reactivity only to antibodies of the immunoglobulin G class (thus protection conferred by other antibody classes is not evaluated). These problems can be overcome by the pseudovirion-based neutralization assay (PBNA), which measures only potentially protective neutralizing antibodies of all immunoglobulin classes [26, 34]; however, this assay is currently too laborious for routine use in large clinical trials. Notably, a good correlation has been found between the PBNA and the ELISA assay for titers of vaccine-induced antibodies to HPV-16 and HPV-18 [26] and for titers of naturally acquired antibodies to HPV-16 [35]. In conclusion, this study confirms the utility of control arm data from vaccine efficacy trials in understanding acquisition and progression of HPV infections and related cervical abnormalities. The results suggest that naturally acquired antibodies to HPV-16, and to a lesser extent HPV-18, reduce the risk of subsequent infection and associated cervical abnormalities with the same HPV type.

Supplementary Data

Supplementary materials are available at The Journal of Infectious Diseases online (http://jid.oxfordjournals.org/). Supplementary materials consist of data provided by the author that are published to benefit the reader. The posted materials are not copyedited. The contents of all supplementary data are the sole responsibility of the authors. Questions or messages regarding errors should be addressed to the author.
  35 in total

1.  Comparison of human papillomavirus types 16, 18, and 6 capsid antibody responses following incident infection.

Authors:  J J Carter; L A Koutsky; J P Hughes; S K Lee; J Kuypers; N Kiviat; D A Galloway
Journal:  J Infect Dis       Date:  2000-05-31       Impact factor: 5.226

2.  Stability over time of serum antibody levels to human papillomavirus type 16.

Authors:  V af Geijersstam; M Kibur; Z Wang; P Koskela; E Pukkala; J Schiller; M Lehtinen; J Dillner
Journal:  J Infect Dis       Date:  1998-06       Impact factor: 5.226

3.  The natural history of human papillomavirus type 16 capsid antibodies among a cohort of university women.

Authors:  J J Carter; L A Koutsky; G C Wipf; N D Christensen; S K Lee; J Kuypers; N Kiviat; D A Galloway
Journal:  J Infect Dis       Date:  1996-11       Impact factor: 5.226

4.  Human papillomavirus capsid antibody response to natural infection and risk of subsequent HPV infection in HIV-positive and HIV-negative women.

Authors:  Raphael P Viscidi; Brad Snyder; Susan Cu-Uvin; Joseph W Hogan; Barbara Clayman; Robert S Klein; Jack Sobel; Keerti V Shah
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2005-01       Impact factor: 4.254

5.  Prevalence of antibodies to human papillomavirus (HPV) type 16 virus-like particles in relation to cervical HPV infection among college women.

Authors:  R P Viscidi; K L Kotloff; B Clayman; K Russ; S Shapiro; K V Shah
Journal:  Clin Diagn Lab Immunol       Date:  1997-03

6.  Sexual behaviour and papillomavirus exposure in cervical intraepithelial neoplasia: a population-based case-control study.

Authors:  L Kjellberg; Z Wang; F Wiklund; K Edlund; T Angstr M; P Lenner; I Sj Berg; G Hallmans; K L Wallin; M Sapp; J Schiller; G Wadell; C G M Hlck; J Dillner
Journal:  J Gen Virol       Date:  1999-02       Impact factor: 3.891

7.  Seroreactivity to human papillomavirus (HPV) types 16, 18, or 31 and risk of subsequent HPV infection: results from a population-based study in Costa Rica.

Authors:  Raphael P Viscidi; Mark Schiffman; Allan Hildesheim; Rolando Herrero; Philip E Castle; Maria C Bratti; Ana Cecilia Rodriguez; Mark E Sherman; Sophia Wang; Barbara Clayman; Robert D Burk
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2004-02       Impact factor: 4.254

8.  Durable antibody responses following one dose of the bivalent human papillomavirus L1 virus-like particle vaccine in the Costa Rica Vaccine Trial.

Authors:  Mahboobeh Safaeian; Carolina Porras; Yuanji Pan; Aimee Kreimer; John T Schiller; Paula Gonzalez; Douglas R Lowy; Sholom Wacholder; Mark Schiffman; Ana C Rodriguez; Rolando Herrero; Troy Kemp; Gloriana Shelton; Wim Quint; Leen-Jan van Doorn; Allan Hildesheim; Ligia A Pinto
Journal:  Cancer Prev Res (Phila)       Date:  2013-11

9.  Risk factors for subsequent cervicovaginal human papillomavirus (HPV) infection and the protective role of antibodies to HPV-16 virus-like particles.

Authors:  Gloria Y F Ho; Yevgeniy Studentsov; Charles B Hall; Robert Bierman; Leah Beardsley; Michele Lempa; Robert D Burk
Journal:  J Infect Dis       Date:  2002-08-28       Impact factor: 5.226

10.  A virus-like particle enzyme-linked immunosorbent assay detects serum antibodies in a majority of women infected with human papillomavirus type 16.

Authors:  R Kirnbauer; N L Hubbert; C M Wheeler; T M Becker; D R Lowy; J T Schiller
Journal:  J Natl Cancer Inst       Date:  1994-04-06       Impact factor: 13.506

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  25 in total

1.  Naturally Occurring Capsid Protein Variants of Human Papillomavirus Genotype 31 Represent a Single L1 Serotype.

Authors:  Sara L Bissett; Anna Godi; Maxime J J Fleury; Antoine Touze; Clementina Cocuzza; Simon Beddows
Journal:  J Virol       Date:  2015-05-20       Impact factor: 5.103

2.  A longitudinal study of human papillomavirus 16 L1, e6, and e7 seropositivity and oral human papillomavirus 16 infection.

Authors:  Daniel C Beachler; Raphael Viscidi; Elizabeth A Sugar; Howard Minkoff; Howard D Strickler; Ross D Cranston; Dorothy J Wiley; Lisa P Jacobson; Kathleen M Weber; Joseph B Margolick; Susheel Reddy; Maura L Gillison; Gypsyamber D'Souza
Journal:  Sex Transm Dis       Date:  2015-02       Impact factor: 2.830

Review 3.  Natural Acquired Immunity Against Subsequent Genital Human Papillomavirus Infection: A Systematic Review and Meta-analysis.

Authors:  Daniel C Beachler; Gwendolyne Jenkins; Mahboobeh Safaeian; Aimée R Kreimer; Nicolas Wentzensen
Journal:  J Infect Dis       Date:  2015-12-21       Impact factor: 5.226

4.  Safety and immunogenicity of the quadrivalent human papillomavirus (qHPV) vaccine in HIV-positive Spanish men who have sex with men (MSM).

Authors:  Carmen Hidalgo-Tenorio; Jessica Ramírez-Taboada; Concepción Gil-Anguita; Javier Esquivias; Mohamed Omar-Mohamed-Balgahata; Antonio SamPedro; Miguel Lopez-Ruz; Juan Pasquau
Journal:  AIDS Res Ther       Date:  2017-07-18       Impact factor: 2.250

5.  Readability and Coherence of Department/Ministry of Health HPV Information.

Authors:  Kurt Lomas Tulsieram; Jose Frank Arocha; Joon Lee
Journal:  J Cancer Educ       Date:  2018-02       Impact factor: 2.037

Review 6.  HPV-FASTER: broadening the scope for prevention of HPV-related cancer.

Authors:  F Xavier Bosch; Claudia Robles; Mireia Díaz; Marc Arbyn; Iacopo Baussano; Christine Clavel; Guglielmo Ronco; Joakim Dillner; Matti Lehtinen; Karl-Ulrich Petry; Mario Poljak; Susanne K Kjaer; Chris J L M Meijer; Suzanne M Garland; Jorge Salmerón; Xavier Castellsagué; Laia Bruni; Silvia de Sanjosé; Jack Cuzick
Journal:  Nat Rev Clin Oncol       Date:  2015-09-01       Impact factor: 66.675

7.  National- and state-level impact and cost-effectiveness of nonavalent HPV vaccination in the United States.

Authors:  David P Durham; Martial L Ndeffo-Mbah; Laura A Skrip; Forrest K Jones; Chris T Bauch; Alison P Galvani
Journal:  Proc Natl Acad Sci U S A       Date:  2016-04-18       Impact factor: 11.205

8.  Risk of HPV-16/18 Infections and Associated Cervical Abnormalities in Women Seropositive for Naturally Acquired Antibodies: Pooled Analysis Based on Control Arms of Two Large Clinical Trials.

Authors:  Mahboobeh Safaeian; Xavier Castellsagué; Allan Hildesheim; Sholom Wacholder; Mark H Schiffman; Marie-Cécile Bozonnat; Laurence Baril; Dominique Rosillon
Journal:  J Infect Dis       Date:  2018-06-05       Impact factor: 5.226

Review 9.  Papillomaviruses: Viral evolution, cancer and evolutionary medicine.

Authors:  Ignacio G Bravo; Marta Félez-Sánchez
Journal:  Evol Med Public Health       Date:  2015-01-28

10.  Comparative immunogenicity and safety of human papillomavirus (HPV)-16/18 AS04-adjuvanted vaccine and HPV-6/11/16/18 vaccine administered according to 2- and 3-dose schedules in girls aged 9-14 years: Results to month 12 from a randomized trial.

Authors:  Ting Fan Leung; Anthony Pak-Yin Liu; Fong Seng Lim; Franck Thollot; Helen May Lin Oh; Bee Wah Lee; Lars Rombo; Ngiap Chuan Tan; Roman Rouzier; Damien Friel; Benoit De Muynck; Stéphanie De Simoni; Pemmaraju Suryakiran; Marjan Hezareh; Nicolas Folschweiller; Florence Thomas; Frank Struyf
Journal:  Hum Vaccin Immunother       Date:  2015       Impact factor: 3.452

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