Literature DB >> 29382323

Prevalence of high-risk HPV genotypes, categorised by their quadrivalent and nine-valent HPV vaccination coverage, and the genotype association with high-grade lesions.

María Paz-Zulueta1, Ledicia Álvarez-Paredes2, Juan Carlos Rodríguez Díaz3, Paula Parás-Bravo4, Ma Encarnación Andrada Becerra5, José María Rodríguez Ingelmo6, María Montserrat Ruiz García7, Joaquín Portilla8, Miguel Santibañez4.   

Abstract

BACKGROUND: The new nine-valent vaccine against human papillomavirus (HPV) includes the four HPV genotypes (6, 11, 16, and 18) that are targeted by the older quadrivalent HPV vaccine, plus five additional oncogenic types (31, 33, 45, 52, and 58) remain significantly associated with high grade lesions. We aimed to determine the prevalence of high-risk HPV genotypes in unvaccinated subjects and the association of these genotypes with the incidence of high-grade lesions. We also assessed which, if either, of these two HPV vaccines could have prevented these cases.
METHODS: This cross-sectional study, conducted from 4 January 2010 to 30 December 2011, was composed of 595 women attending the Hospital General Universitario de Elche (Spain) gynaecology department who were positively screened for opportunistic cervical cancer by pap smears and HPV detection during a routine gynaecological health check. The pap smear results were classified using the Bethesda system. HPV genotyping was performed with the Linear Array HPV genotyping test, and viruses were classified by the International Agency for Research on Cancer assessment of HPV carcinogenicity. Odds ratios (ORs) with their 95% confidence intervals (95% CI) were estimated by logistic regression, adjusting for age and immigrant status. The prevented fraction among those exposed (PFe-adjusted) was determined as a measure of impact.
RESULTS: At least one of the additional five high-risk HPV genotypes present in the nine-valent HPV vaccine was detected in 20.5% of subjects. After excluding women with genotype 16 and/or 18 co-infection, high-risk genotypes (31, 33, 45, 52, and 58) were associated with a higher risk of intraepithelial lesion or malignancy: adjusted OR = 3.51 (95% CI, 1.29-9.56), PFe-adjusted = 0.72 (95% CI, 0.22-0.90). Genotypes that are still non-vaccine-targeted were detected in 17.98% of the women, but these were not significantly associated with high-grade lesions.
CONCLUSION: The greater protection of the nine-valent HPV vaccine is likely to have a positive impact because, in the absence of genotype 16 or 18 infection, these five genotypes on their own remained significantly associated with high-grade lesions.

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Year:  2018        PMID: 29382323      PMCID: PMC5791190          DOI: 10.1186/s12885-018-4033-2

Source DB:  PubMed          Journal:  BMC Cancer        ISSN: 1471-2407            Impact factor:   4.430


Background

Human papillomavirus (HPV) infection is the most common sexually transmitted infection in the United States and Europe [1]. Persistent HPV infection with a high-risk oncogenic genotype, as well as co-infection with high-risk genotypes, contributes to neoplastic progression [2-4]. Cervical cancer (CC) and other HPV-related cancers represent a major global public health problem. Cervical cancer is the third most common cancer among women worldwide [5]. It has been found that according to the severity of cervical lesions, the overall prevalence of HPV increases from 12% in women with normal cytology to 89% in women with CC [6]. The most frequent viral types are HPV 16, 18, 31, 33, 35, 45, 52 and 58. However, there are differences of specific type prevalences according to the region analysed. HPV 16 and 18 are the two most prevalent types worldwide [7]. HPV genotypes 16 and 18 cause 70% of cervical cancer cases as well as an even higher proportion of other cancers associated with HPV infection, such as cancer of the vulva, vagina, penis, anus, and oropharynx [8-10]. Two preventive strategies are used in combination to prevent cervical cancer: vaccination against HPV (primary prevention) and cervical screening programmes (secondary prevention). Cervical smears allow the detection of pre-cancerous lesions and cancer. Although it is a very effective method, its implementation only helps to prevent cervical cancer [11, 12]; there are no screening tests for other types of HPV-related cancer. In Spain, cervical screening is available but not mandatory. Cervical screening is performed opportunistically, its success depends on participant uptake. In Europa, there are currently three vaccines authorised against HPV. The bivalent HPV vaccine Cervarix® provides protection against HPV 16 and 18 (high-risk oncogenic genotypes); the quadrivalent HPV vaccine Gardasil® provides protection against HPV 6 and 11 (low-risk oncogenic genotypes related with the appearance of 90% of genital warts) [13] together with genotypes 16 and 18. Nowadays in Spain, we use bivalent HPV vaccine Cervarix® and quadrivalent HPV vaccine Gardasil®. Depending on the region, one or other vaccine is included in the childhood immunization schedule. The last approved nine-valent HPV vaccine Gardasil9® provides protection against HPV 6, 11, 16, 18, 31, 33, 45, 52, and 58 [14]. This new vaccine extends protection to a further five oncogenic types (HPV 31, 33, 45, 52, and 58), in addition to the four types included in the original Gardasil®. Thus, the nine-valent HPV vaccine is estimated to potentially prevent close to 90% of cancers of the cervix, vulva, vagina, and anus, as well as 80% of pre-cancerous lesions [15]. Scientific evidence regarding the safety profile [16], immunogenicity [17, 18], and safety and efficacy [19-22] of these vaccines is well established. The aims of our study were to determine the prevalence of high-risk HPV genotypes and analyse how effective the protection offered by the quadrivalent HPV vaccine and the new nine-valent HPV vaccine would be in this population as well as to investigate the association with and potential impact of these genotypes on the incidence of high-grade lesions.

Methods

Type of study

This was a cross-sectional study of 595 women.

Population

During the study period (January 4,2010 to December 30,2011), women who came to the gynecology department of the Hospital General Universitario de Elche (Spain) for a routine gynecological check-up were treated according to the cervical cancer screening protocol: a combined Pap smear test and HPV screening. For our study, we included 595 consecutive women in whom the linear combined HPV genotyping test had detected HPV infection in a cervical smear.

Data sources

We obtained the data for each patient from computerized hospital records of gynaecology and microbiology services. When necessary, this information was completed with data from paper medical records and the histopathology department Cliniviewer.

Variables

The primary variables included date of birth, country of birth, patient’s VPH vaccine status, Pap smear result, and determination of HPV genotype by polymerase chain reaction (PCR) assay. The results of the pap smears were classified according to the Bethesda 2001 histological classification [23]. Positive pap smears were defined as those that presented abnormal epithelial cells. The result was classified as: atypical squamous cells of undetermined significance or atypical glandular cells (ASC-US/AGC), low grade squamous intraepithelial lesion (LSIL), high grade squamous intraepithelial lesion (HSIL), squamous cell carcinoma, adenocarcinoma in situ, or adenocarcinoma. HPV genotyping was performed using the Linear Array HPV genotyping test (Roche Diagnostics), a qualitative in vitro assay that utilizes the amplification of target DNA by PCR and nucleic acid hybridization and detects 37 HPV genotypes: 6, 11, 16, 18, 26, 31, 33, 35, 39, 40, 42, 45, 51, 52, 53, 54, 55, 56, 58, 59, 61, 62, 64, 66, 67, 68, 69, 70, 71, 72, 73 (MM9), 81, 82 (MM4), 83 (MM7), 84 (MM8), IS39, and CP6108. HPV types were classified according to the World Health Organization (WHO) International Agency for Research on Cancer (IARC) Monographs Working Group assessment of the carcinogenicity of different HPV types [24-26]: 13 high-risk (16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59, and 68) and 5 likely high-risk (53, 66, 70, 73 MM9, and 82 MM4). The finding of two or more high-risk genotypes in the same patient was defined as co-infection [27]. Based on the protection that would have been provided by the quadrivalent or new nine-valent HPV vaccines, the high-risk genotypes were classified into [28]: vaccine-targeted high-risk HPV genotypes (16 and 18); quadrivalent HPV-targeted genotypes (6, 11, 16, and 18); the additional five high-risk HPV genotypes present in the nine-valent HPV vaccine (31, 33, 45, 52, and 58); high-risk HPV types other than 16 and 18 (31, 33, 35, 39, 45, 51, 52, 56, 58, 59, and 68); and other non-vaccine targeted high-risk types (35, 39, 51, 56, 59, and 68).

Statistical analysis

For the categorical and discrete variables, proportions were estimated using the Pearson Chi-squared test to make comparisons and using Fisher’s exact test when necessary. Continuous variables were expressed as the mean and standard deviation (SD); a Student’s t-test was used for comparisons following normality testing using a Shapiro-Wilk test. Cytological results were classified as being a “Non-high-grade lesion” (smear negative for intraepithelial lesion, ASC-US/AGC, or LSIL) or a “High-grade lesion” (HSIL, squamous cell carcinoma, adenocarcinoma in situ, or adenocarcinoma), and this classification was treated as a dependent variable in the logistic regression models. As a measure of association, the crude odds ratios (ORc) as well as the odds ratios adjusted (ORa) for age (continuous variable) and immigrant status were estimated by unconditional logistic regression, together with their 95% confidence intervals (95% CI). As a measure of impact, the adjusted attributable fraction in the total exposed (AFe-adjusted) was calculated using the formula [(ORa – 1)/ORa] together with its 95% CI using the formula [((lower limit 95% CI of the ORa – 1)/lower limit 95% CI of the ORa) to ((upper limit 95%CI of the ORa − 1)/upper limit 95% CI of the ORa)] when the ORa was statistically significant. The alpha error was set at 0.05, and all p were two-sided. All statistical analyses were performed using IBM SPSS Statistics V22.0.

Results

Of the total participants, 73.11% (95% CI, 69.43–76.76) of women presented with at least one high-risk HPV genotype. High-risk HPV genotypes not targeted by the quadrivalent HPV vaccine were found in 38.49% of women (95% CI, 34.49–42.48%). At least one of the additional five high-risk HPV genotypes present in the nine-valent HPV vaccine (31, 33, 45, 52, or 58) was found in 20.50% of women (95% CI, 17.18–23.83%) (Table 1).
Table 1

High-risk HPV genotypes, vaccine-targeted high-risk HPV genotypes, and single type infections and multiple type infections

TotalSingle HPV typeMultiple HPV typesa
n = 595%95% CIn = 595%95% CIn = 595%95% CI
HPV genotypes
 Vaccine-targeted high-risk HPV genotypes
  1618030.0826.3233.856510.928.3313.5211519.3316.0722.59
  18325.383.487.2861.010.121.90264.372.646.10
 Additional five high-risk HPV genotypes present in the nine-valent HPV vaccine
  31569.416.9811.84193.191.704.69376.224.198.24
  33274.712.926.4961.010.121.90213.531.965.10
  45183.031.574.4940.670.181.71142.351.053.66
  528514.2911.3917.1881.350.342.357712.9410.1615.72
  58376.224.198.2440.670.181.71335.553.627.47
 Quadrivalent HPV and nine-valent HPV non-vaccine-targeted high-risk HPV genotypes
  35172.861.434.2830.500.101.47142.351.053.66
  39467.735.509.9691.510.452.58376.224.198.24
  516911.608.9414.25142.351.053.66559.246.8311.66
  56559.246.8311.6620.340.041.21538.916.5411.28
  59284.712.926.4961.010.121.90223.702.105.30
  68132.190.933.4400.000.000.62132.190.933.44

aWomen infected with multiple human papillomavirus (HPV) types: high-risk, likely high-risk HPV or low-risk genotypes [11]

High-risk HPV genotypes, vaccine-targeted high-risk HPV genotypes, and single type infections and multiple type infections aWomen infected with multiple human papillomavirus (HPV) types: high-risk, likely high-risk HPV or low-risk genotypes [11] High-risk HPV genotypes not targeted by either the quadrivalent HPV or the nine-valent HPV vaccine (35, 39, 51, 56, 59, or 68) were found in 17.98% of women (95% CI, 14.81–21.15%) (Table 1). The mean age of the women included in this study was 34.34 years [SD: 10.70]; 89.75% were Spanish. Of the participants, 41.36% had at least one smear with morphological changes (ASC-US, LSIL, HSIL, squamous cell carcinoma, adenocarcinoma in situ, or adenocarcinoma). The prevalence of ASC-US was 8.14% (95% CI, 5.85–10.43), that of LSIL was 19.49% (95% CI, 16.21–22.77), and that of HSIL was 11.53% (95% CI, 8.86–14.19). The prevalence of cancerous lesions (squamous cell carcinoma, adenocarcinoma in situ, or adenocarcinoma) was 2.20% (95% CI, 0.93–3.47) (Additional file 1). A single low-risk genotype (6, 11, 42, 43 or 44) was detected in 33.61% of the women (95% CI, 29.73–37.49), and a single likely high-risk genotype was detected in 25.88% (95% CI, 22.28–29.49). A single high-risk genotype was detected in 45.04% of participants (95% CI, 40.96–49.12), and two high-risk genotypes were detected in the 20.50% (Additional file 1). The most common multiple infections were by genotype 16 (19.33%), 52 (12.94%), or 51(9.24%) (Table 1). Genotype 16 was the most commonly detected HPV genotype, found in 30.08% of study participants (95% CI, 26.32–33.85). Genotypes 16 and/or 18 were detected in 35.46% of the women (Table 2). When we analysed the percentages of infection prevalence for the additional five high-risk HPV genotypes present in the nine-valent HPV vaccine, we found that 14.29% of women were infected by genotype 52, 9.41% by genotype 31, 6.22% by genotype 58, 4.71% by genotype 33, and 3.03% by genotype 45 (Table 1). Regarding the percentages of infection by high-risk HPV genotypes that are not targeted by either the quadrivalent or nine-valent HPV vaccine, we found that 11.60% of subjects were infected by genotype 51, 9.24% by genotype 56, 7.73% by genotype 39, 4.71% by genotype 59, 2.86% by genotype 35, and 2.19% by genotype 68 (Table 2).
Table 2

Characteristics of the studied population, distribution of HPV genotypes, and histological classification of cervical smears

Total
n = 595%95% CI
 Age (years): Mean [SD]34.34[10.70]33.4835.20
Country of origin
 Spain53489.7587.2392.27
 Other6110.257.7312.77
Number low-risk oncogenic HPVa
 1 genotype20033.6129.7337.49
 2 genotypes6310.598.0313.15
 3 genotypes152.521.183.87
 4 genotypes61.010.121.90
Number likely high-risk oncogenic HPVa
 1 genotype15425.8822.2829.49
 2 genotypes122.020.803.23
 3 genotypes10.170.000.93
Number high-risk oncogenic HPVa
 1 genotype26845.0440.9649.12
 2 genotypes12220.5017.1823.83
 3 genotypes305.043.206.88
 4 genotypes142.351.053.66
 5 genotypes10.170.000.93
Results cervical smearb
 NILMc27246.1042.0050.21
 Inflammatory7011.869.1714.56
 Warts10.170.000.94
 ASC-US/ASC-H488.145.8510.43
 LSIL11519.4916.2122.77
 HSIL6811.538.8614.19
 Carcinoma/Adenocarcinoma132.200.933.47
 Result not available30.510.111.48
 Missing5

aClassification of human papillomavirus (HPV) types according to the World Health Organization International Agency for Research on Cancer (IARC) Monographs Working Group assessment of the carcinogenicity of different HPV types [25–27]

bHistological classification Bethesda 2001 System [24]

cNegative for intraepithelial lesion or malignancy

Characteristics of the studied population, distribution of HPV genotypes, and histological classification of cervical smears aClassification of human papillomavirus (HPV) types according to the World Health Organization International Agency for Research on Cancer (IARC) Monographs Working Group assessment of the carcinogenicity of different HPV types [25-27] bHistological classification Bethesda 2001 System [24] cNegative for intraepithelial lesion or malignancy Table 3 shows the crude and adjusted measures of association (OR) and impact (AFe) of the risk of high-grade lesions, in relation to the HPV genotype and its potential protection by the quadrivalent and nine-valent HPV vaccines. After adjusting for age and immigrant status, the presence of HPV genotype 16 or 18 individually increased the possibility of having a high-grade lesion by 10.40-fold. The concomitant presence of both of these genotypes increased the risk of lesion as follows: adjusted OR = 63.58; linear p trend < 0.001; AFe = 0.98 (95% CI, 0.88–1.00). The presence of a high-risk genotype not covered by the quadrivalent HPV vaccine increased the risk of a high-grade lesion significantly, although to a lesser extent than the presence of genotype 16 or 18: adjusted OR = 2.71 (95% CI, 1.05–7.01).
Table 3

Prevalence of high-risk human papillomavirus genotypes according to the vaccine-targeted high-risk human papillomavirus genotypes

Total
n = 595%95%CI
Regarding HPV genotype
 No high-riska16026.8923.2430.54
 At least 1 high-risk43573.1169.4676.76
According to the vaccine-targeted high-risk HPV genotypes
 No high-riska16026.8923.2430.54
 Quadrivalent HPV non-vaccine-targeted high-risk HPV genotypesb22938.4934.4942.48
Quadrivalent HPV and nine-valent HPV non-vaccine-targeted high-risk HPV genotypesc10717.9814.8121.15
Additional five high-risk HPV genotypes present in the nine-valent HPV vaccined12220.5017.1823.83
 Vaccine-targeted high-risk HPV genotypes (16 or 18)20133.7829.9037.67
 Vaccine-targeted high-risk HPV genotypes (16 and 18)50.840.271.95

aNo high-risk. Classification human papillomavirus (HPV) types according to the World Health Organization International Agency for Research on Cancer (IARC) Monographs Working Group assessment of the carcinogenicity of different HPV types [25–27]

bAt least 1 of the quadrivalent HPV non-vaccine-targeted high-risk HPV genotypes (31 or 33 or 35 or 39 or 45 or 51 or 52 or 56 or 58 or 59 or 68)

cAt least 1 of the quadrivalent HPV and nine-valent HPV non-vaccine-targeted high-risk HPV genotypes (35 or 39 or 51 or 56 or 59 or 68)

dAt least 1 of the additional five high-risk HPV genotypes present in the nine-valent HPV vaccine (31 or 33 or 45 or 52 or 58)

Prevalence of high-risk human papillomavirus genotypes according to the vaccine-targeted high-risk human papillomavirus genotypes aNo high-risk. Classification human papillomavirus (HPV) types according to the World Health Organization International Agency for Research on Cancer (IARC) Monographs Working Group assessment of the carcinogenicity of different HPV types [25-27] bAt least 1 of the quadrivalent HPV non-vaccine-targeted high-risk HPV genotypes (31 or 33 or 35 or 39 or 45 or 51 or 52 or 56 or 58 or 59 or 68) cAt least 1 of the quadrivalent HPV and nine-valent HPV non-vaccine-targeted high-risk HPV genotypes (35 or 39 or 51 or 56 or 59 or 68) dAt least 1 of the additional five high-risk HPV genotypes present in the nine-valent HPV vaccine (31 or 33 or 45 or 52 or 58) By sub-dividing these genotypes based on the ability of the new nine-valent HPV vaccine to protect against them, we found that although the presence of high-risk genotypes not covered by the new nine-valent HPV vaccine was not associated with a significant increase in the risk of lesions (adjusted OR = 1.76; 95% CI, 0.54–1.70), the presence of a high-risk genotype not covered by the quadrivalent HPV vaccine but covered by the new nine-valent HPV vaccine was associated with a significant increase in this risk (adjusted OR = 3.51, 95% CI, 1.29–9.56; adjusted AFe = 0.72, 95% CI, 0.22–0.90) (Table 4).
Table 4

Associations and impact between the risk intraepithelial lesion/malignancy and the vaccine-targeted high-risk HPV genotypes

No lesionIntraepithelial lesion or malignancya
n = 509n = 81ORc95%CIORa95%CIAFe-a95%CI
Regarding HPV genotype
 No high-riskb154611
 At least 1 high-risk355755.422.3112.726.012.5314.290.830.600.93
According to the vaccine-targeted high-risk HPV genotypes
 No high-riskb154611
 Quadrivalent HPV non-vaccine-targeted high-risk HPV genotypesc208202.470.976.292.711.057.010.630.040.86
Quadrivalent HPV and nine-valent HPV non-vaccine-targeted high-risk HPV genotypesd10161.530.484.861.760.545.700.43
Additional five high-risk HPV genotypes present in the nine-valent HPV vaccinee107143.361.259.023.511.299.560.720.220.90
 Vaccine-targeted high-risk HPV genotypes (16 or 18)145529.213.8422.0810.404.2525.400.900.760.96
 Vaccine-targeted high-risk HPV genotypes (16 and 18)2338.505.39275.0663.588.62468.700.980.881.00
<  0.001 <  0.001

aIntraepithelial lesion or malignancy: high-grade squamous intraepithelial lesion or worse

Odds ratio and 95% confidence intervals. ORc denotes “crude OR”; ORa denotes “adjusted OR” OR adding to the basic model: age and immigrant status

AFe-a: Attributable fraction among the exposed, adjusted for age and immigrant status

bNo high-risk. Classification of human papillomavirus (HPV) types according to the World Health Organization International Agency for Research on Cancer (IARC) Monographs Working Group assessment of the carcinogenicity of different HPV types [25–27]

cAt least 1 of the quadrivalent HPV non-vaccine-targeted high-risk HPV genotypes (31 or 33 or 35 or 39 or 45 or 51 or 52 or 56 or 58 or 59 or 68)

dAt least 1 of the quadrivalent HPV and nine-valent HPV non-vaccine-targeted high-risk HPV genotypes (35 or 39 or 51 or 56 or 59 or 68)

eAt least 1 of the additional five high-risk HPV genotypes present in the nine-valent HPV vaccine (31 or 33 or 45 or 52 or 58)

Associations and impact between the risk intraepithelial lesion/malignancy and the vaccine-targeted high-risk HPV genotypes aIntraepithelial lesion or malignancy: high-grade squamous intraepithelial lesion or worse Odds ratio and 95% confidence intervals. ORc denotes “crude OR”; ORa denotes “adjusted OR” OR adding to the basic model: age and immigrant status AFe-a: Attributable fraction among the exposed, adjusted for age and immigrant status bNo high-risk. Classification of human papillomavirus (HPV) types according to the World Health Organization International Agency for Research on Cancer (IARC) Monographs Working Group assessment of the carcinogenicity of different HPV types [25-27] cAt least 1 of the quadrivalent HPV non-vaccine-targeted high-risk HPV genotypes (31 or 33 or 35 or 39 or 45 or 51 or 52 or 56 or 58 or 59 or 68) dAt least 1 of the quadrivalent HPV and nine-valent HPV non-vaccine-targeted high-risk HPV genotypes (35 or 39 or 51 or 56 or 59 or 68) eAt least 1 of the additional five high-risk HPV genotypes present in the nine-valent HPV vaccine (31 or 33 or 45 or 52 or 58)

Discussion

Our results show that in the absence of infection with HPV genotypes 16 or 18, the greater level of protection provided by the new nine-valent HPV vaccine compared with that provided by the quadrivalent HPV vaccine is likely to have a measurable impact. The extra five HPV genotypes remained significantly associated with high grade lesions. Our results show a high prevalence of infection by a single high-risk oncogenic HPV genotype (45.04%) [29-32]. The percentage of women who presented a morphological change in their pap smear (positive screening) was also high (41.36%) [33, 34]. This could be due to the characteristics of our sample, since our study was not conducted on the general population but rather it specifically included women with a confirmed HPV infection. Similarly, with respect to the prevalence of genotypes 16 and 18 in our sample, we found higher prevalences (30.08% and 5.38%, respectively) than those described in previous population-based studies [29, 32]. Our findings are closer to those reported by Garcia Espinosa et al. [35], who showed that the most common HPV genotypes found in all specimens were genotypes 16 (26.0%), 31 (10.7%), and 58 (8.0%). In their study, genotype 18 was detected in only 5.0% of women. Here, the prevalence of genotype 52 was higher than that found by other authors in national studies [36, 37]. Our results also do not coincide with the prevalence reported by the 2016 ICO-WHO report [38], which detected genotype 52 in 5.4% of HSIL and in 2.4% of cancerous lesions. This difference could be due to the high population of immigrants from East Africa that plays an important role in our health area; a very high prevalence of HPV 52 infection has been reported for this geographic area [39]. In contrast, the data published by Castellsagué et al. and Delgado et al. [30, 40] regarding the prevalence of HPV 52 are similar to those obtained in our study. Castellsagué et al. found that after HPV 16, genotype 52 was the most prevalent, and Delgado et al. reported the prevalence for genotype 52 as 12%. The most common high-risk type detected in this study was HPV16 which is consistent with published studies and that vaccination will likely have a significant impact [20–22, 41]. Furthermore, HPV genotype 16 or 18 cause 70% of cases of cervical cancer and an even higher proportion of cancers of the vulva, vagina, penis, anus, and oropharynx [8-10]. Thus, current HPV vaccines (Cervarix® and Gardasil®) prevent approximately 70% of cervical cancers through protection against genotypes 16 and 18. Partial cross-protection against non-vaccine targeted HPV types has been reported for both licensed vaccines, although the clinical significance of this finding remains uncertain [42]. In the FUTURE I / II and PATRICIA studies, conducted in young women, the bivalent vaccine showed significant efficacy against HPV31, 33, 45 and 52, and the tetravalent vaccine against HPV31. The bivalent vaccine showed significant efficacy against CIN2 + related to HPV31 and 33 (excluding co-infection with HPV16 and / or 18) and related to HPV45 (included co-infection with HPV16 and / or 18) [43, 44]. The possible cross-protection of the new nine-valence vaccine is still unknown. It would be necessary to evaluate whether the nine-valence vaccine also protects against other non-HPV oncogenic HPV types not included in this vaccine. Concomitant infection by both genotypes 16 and 18 also suggests an interaction, with co-infection multiplicatively increasing the risk of high-grade lesions (adjusted OR = 63.58), with an adjusted AFe of 90% and 98% for isolated or joint infection, respectively. Thus, protection against infection with one of these genotypes (16 or 18) would prevent approximately 90% of high-grade lesions, while protection against both would prevent 98% of the high-grade lesions present in women co-infected with genotypes 16 and 18. These findings support the preventive impact of both the quadrivalent and the nine-valent HPV vaccine, as both cover genotypes 16 and 18 [19, 42, 45, 46]. The new nine-valent HPV virus-like particle includes the four HPV types (6, 11, 16 and 18) present in the quadrivalent HPV vaccine, plus five additional oncogenic types (31, 33, 45, 52, and 58) and potentially increases the overall prevention of cervical cancer from around 70% to around 90% [47]. Our study supports this increased efficacy. The greater level of protection by the new nine-valent HPV vaccine compared with that of the quadrivalent HPV vaccine is likely to have an observable impact, given our finding that these genotypes on their own (in the absence of infection by genotypes 16 or 18) remained significantly associated with high grade lesions, with an adjusted AFe of 72%. Thus, our results suggest that had the 121 patients who presented with at least one of these HPV genotypes (but not genotype 16 or 18) been vaccinated with the new nine-valent HPV vaccine, approximately 72% of the high-grade lesions present in these women would have been prevented. In other words, if all these 121 patients had been vaccinated, and the efficacy of the vaccination for these genotypes (31, 33, 45, 52, and 58) was 100%, approximately 87 high-grade lesions would have been prevented. Joura et al. showed an efficacy of 96.7% against high-grade lesions related with infection by HPV 31, 33, 45, 52, and 58 in their analysis of a cohort of 14,215 women aged 16 to 26 years [22]. Monsonego et al. showed that a high proportion of high-grade cervical lesions (60.6% of genotyping assay-positive CIN2+) were associated with HPV types 31, 33, 45, 52, or 58 [48]. In our study, 17.98% of women were infected with high-risk genotypes that are not covered by either the quadrivalent or the new nine-valent HPV vaccine. In the absence of infection with genotypes 16 or 18, infection with the remaining high-risk genotypes not covered by the new nine-valent HPV vaccine (genotypes 35, 39, 51, 56, 59, and 68) was associated with a non-statistically significant risk of high-grade lesions, with an AFe close to 40%. When extrapolating our results, various aspects that could result in lower attributable fractions in the population must be considered. The effectiveness of the HPV vaccines is likely less than 100%, and therefore the protection level is not 100% in 100% of the women vaccinated. Furthermore, we cannot rule out the false sense of security reported by several authors [49, 50], which can lead to a higher prevalence of risky lifestyles or sexual habits, such as a lower use of condoms. Another limitation is the fact that the attribution of lesions to specific HPV types is complicated by the detection of multiple HPV infections. Therefore, the potential benefit of a HPV vaccine is not easily assessable. On the other hand, another caveat is that cervical lesion was performed on exfoliated cervical cells instead of biopsy samples with laser dissection, so we did not have confirmation of high-grade lesions by histological study (biopsy). However, studies evaluating the category HSIL compared to biopsy as gold standard support a very high probability of an accurate diagnosis [47, 51]. In our study, the enrolled women had attended the gynaecology department of the Hospital General Universitario de Elche (eastern Spain) testing positive for HPV infection in the cervical smear performed during a routine gynaecological health check in an opportunistic cervical screening program. Since the population is limited to those attending opportunistic screening further selected on the basis of their HPV status and not primarily vaccine status, it prevents to make generalizations on potential vaccine impact in the general population. However, our results circumscribed to the study population, show the prevalence of high-risk HPV genotypes in unvaccinated subjects and the association of these genotypes with the presence of high-grade lesions, allowing to assess the potential impact of quadrivalent and nine-valent HPV vaccines by using epidemiological impact measures. One advantage of using adjusted ORs is that derived from these adjusted OR, it is possible to estimate as a measure of impact, the adjusted attributable fraction in the total exposed together with its 95%CI. We think that our methodology can complement the information provided with other methodologies such as the one followed by the recently published study by Capra et al. [52], and that it could be useful for future reviews or meta-analysis. The description of high-risk HPV epidemiology is a key feature for the design of strategies to prevent cervical cancer, and the results from this study can be used with this purpose in future reviews and meta-analysis, in order to estimate the potential impact of vaccination by either the quadrivalent or nine-valent vaccine relative to other studies with similar aims.

Conclusion

HPV genotypes 16 and 18, especially in co-infection, are the two HPV genotypes that have most impact on the presence of high-grade lesions in our unvaccinated population attending an opportunistic screening in eastern Spain. Based on our associations and impact epidemiological results, in the absence of infection with HPV genotypes 16 or 18, the greater level of protection provided by the new nine-valent HPV vaccine (five genotypes) compared with that provided by the quadrivalent HPV vaccine is likely to have a measurable impact because these genotypes on their own remained significantly associated with high-grade lesions. In our population, there is a percentage of women (17.98%) who are infected with high-risk HPV genotypes that are not covered by any of the currently available vaccines (quadrivalent HPV or nine-valent HPV vaccines); however, as a whole, the impact of these HPV genotypes on the risk of high-grade lesions appears to be lower than the risk posed by other common HPV genotypes.
  47 in total

Review 1.  "HPV? Never heard of it!": a systematic review of girls' and parents' information needs, views and preferences about human papillomavirus vaccination.

Authors:  Maggie Hendry; Ruth Lewis; Alison Clements; Sarah Damery; Clare Wilkinson
Journal:  Vaccine       Date:  2013-09-09       Impact factor: 3.641

2.  Long-term absolute risk of cervical intraepithelial neoplasia grade 3 or worse following human papillomavirus infection: role of persistence.

Authors:  Susanne K Kjær; Kirsten Frederiksen; Christian Munk; Thomas Iftner
Journal:  J Natl Cancer Inst       Date:  2010-09-14       Impact factor: 13.506

3.  A 9-valent HPV vaccine against infection and intraepithelial neoplasia in women.

Authors:  Elmar A Joura; Anna R Giuliano; Ole-Erik Iversen; Celine Bouchard; Constance Mao; Jesper Mehlsen; Edson D Moreira; Yuen Ngan; Lone Kjeld Petersen; Eduardo Lazcano-Ponce; Punnee Pitisuttithum; Jaime Alberto Restrepo; Gavin Stuart; Linn Woelber; Yuh Cheng Yang; Jack Cuzick; Suzanne M Garland; Warner Huh; Susanne K Kjaer; Oliver M Bautista; Ivan S F Chan; Joshua Chen; Richard Gesser; Erin Moeller; Michael Ritter; Scott Vuocolo; Alain Luxembourg
Journal:  N Engl J Med       Date:  2015-02-19       Impact factor: 91.245

4.  Human papillomavirus genotype attribution in invasive cervical cancer: a retrospective cross-sectional worldwide study.

Authors:  Silvia de Sanjose; Wim Gv Quint; Laia Alemany; Daan T Geraets; Jo Ellen Klaustermeier; Belen Lloveras; Sara Tous; Ana Felix; Luis Eduardo Bravo; Hai-Rim Shin; Carlos S Vallejos; Patricia Alonso de Ruiz; Marcus Aurelho Lima; Nuria Guimera; Omar Clavero; Maria Alejo; Antonio Llombart-Bosch; Chou Cheng-Yang; Silvio Alejandro Tatti; Elena Kasamatsu; Ermina Iljazovic; Michael Odida; Rodrigo Prado; Muhieddine Seoud; Magdalena Grce; Alp Usubutun; Asha Jain; Gustavo Adolfo Hernandez Suarez; Luis Estuardo Lombardi; Aekunbiola Banjo; Clara Menéndez; Efrén Javier Domingo; Julio Velasco; Ashrafun Nessa; Saibua C Bunnag Chichareon; You Lin Qiao; Enrique Lerma; Suzanne M Garland; Toshiyuki Sasagawa; Annabelle Ferrera; Doudja Hammouda; Luciano Mariani; Adela Pelayo; Ivo Steiner; Esther Oliva; Chris Jlm Meijer; Waleed Fahad Al-Jassar; Eugenia Cruz; Thomas C Wright; Ana Puras; Cecilia Ladines Llave; Maria Tzardi; Theodoros Agorastos; Victoria Garcia-Barriola; Christine Clavel; Jaume Ordi; Miguel Andújar; Xavier Castellsagué; Gloria I Sánchez; Andrzej Marcin Nowakowski; Jacob Bornstein; Nubia Muñoz; F Xavier Bosch
Journal:  Lancet Oncol       Date:  2010-10-15       Impact factor: 41.316

5.  Impact of human papillomavirus (HPV)-6/11/16/18 vaccine on all HPV-associated genital diseases in young women.

Authors:  Nubia Muñoz; Susanne K Kjaer; Kristján Sigurdsson; Ole-Erik Iversen; Mauricio Hernandez-Avila; Cosette M Wheeler; Gonzalo Perez; Darron R Brown; Laura A Koutsky; Eng Hseon Tay; Patricía J Garcia; Kevin A Ault; Suzanne M Garland; Sepp Leodolter; Sven-Eric Olsson; Grace W K Tang; Daron G Ferris; Jorma Paavonen; Marc Steben; F Xavier Bosch; Joakim Dillner; Warner K Huh; Elmar A Joura; Robert J Kurman; Slawomir Majewski; Evan R Myers; Luisa L Villa; Frank J Taddeo; Christine Roberts; Amha Tadesse; Janine T Bryan; Lisa C Lupinacci; Katherine E D Giacoletti; Heather L Sings; Margaret K James; Teresa M Hesley; Eliav Barr; Richard M Haupt
Journal:  J Natl Cancer Inst       Date:  2010-02-05       Impact factor: 13.506

6.  Human Papillomavirus (HPV) Type Distribution in Females with Abnormal Cervical Cytology. A Correlation with Histological Study.

Authors:  Fernando Cobo; Angel Concha; Marta Ortiz
Journal:  Open Virol J       Date:  2009-09-04

7.  Quadrivalent vaccine against human papillomavirus to prevent anogenital diseases.

Authors:  Suzanne M Garland; Mauricio Hernandez-Avila; Cosette M Wheeler; Gonzalo Perez; Diane M Harper; Sepp Leodolter; Grace W K Tang; Daron G Ferris; Marc Steben; Janine Bryan; Frank J Taddeo; Radha Railkar; Mark T Esser; Heather L Sings; Micki Nelson; John Boslego; Carlos Sattler; Eliav Barr; Laura A Koutsky
Journal:  N Engl J Med       Date:  2007-05-10       Impact factor: 91.245

8.  Efficacy of the HPV-16/18 vaccine: final according to protocol results from the blinded phase of the randomized Costa Rica HPV-16/18 vaccine trial.

Authors:  Allan Hildesheim; Sholom Wacholder; Gregory Catteau; Frank Struyf; Gary Dubin; Rolando Herrero
Journal:  Vaccine       Date:  2014-07-10       Impact factor: 3.641

9.  Impact of human papillomavirus coinfections on the risk of high-grade squamous intraepithelial lesion and cervical cancer.

Authors:  Adela Carrillo-García; Sergio Ponce-de-León-Rosales; David Cantú-de-León; Verónica Fragoso-Ontiveros; Imelda Martínez-Ramírez; Asunción Orozco-Colín; Alejandro Mohar; Marcela Lizano
Journal:  Gynecol Oncol       Date:  2014-06-27       Impact factor: 5.482

10.  Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012.

Authors:  Jacques Ferlay; Isabelle Soerjomataram; Rajesh Dikshit; Sultan Eser; Colin Mathers; Marise Rebelo; Donald Maxwell Parkin; David Forman; Freddie Bray
Journal:  Int J Cancer       Date:  2014-10-09       Impact factor: 7.396

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  15 in total

1.  Human Papillomavirus Vaccine Effectiveness and Herd Protection in Young Women.

Authors:  Chelse Spinner; Lili Ding; David I Bernstein; Darron R Brown; Eduardo L Franco; Courtney Covert; Jessica A Kahn
Journal:  Pediatrics       Date:  2019-01-22       Impact factor: 7.124

2.  Comparison of Seegene Anyplex II HPV28 assay with BD Onclarity HPV assay for human papillomavirus genotyping.

Authors:  Moonsik Kim; Jinhee Kim; Nora Jee-Young Park; Ji Young Park
Journal:  PLoS One       Date:  2022-07-08       Impact factor: 3.752

3.  Exploring the Papillomaviral Proteome to Identify Potential Candidates for a Chimeric Vaccine against Cervix Papilloma Using Immunomics and Computational Structural Vaccinology.

Authors:  Satyavani Kaliamurthi; Gurudeeban Selvaraj; Sathishkumar Chinnasamy; Qiankun Wang; Asma Sindhoo Nangraj; William Cs Cho; Keren Gu; Dong-Qing Wei
Journal:  Viruses       Date:  2019-01-15       Impact factor: 5.048

4.  Knowledge, Attitudes, and Intentions towards Human Papillomavirus Vaccination among Nursing Students in Spain.

Authors:  Sara Villanueva; Diego Gabriel Mosteiro-Miguéns; Eva María Domínguez-Martís; David López-Ares; Silvia Novío
Journal:  Int J Environ Res Public Health       Date:  2019-11-15       Impact factor: 3.390

5.  Inferring Virus-Host relationship between HPV and its host Homo sapiens using protein interaction network.

Authors:  Qurat Ul Ain Farooq; Zeeshan Shaukat; Tong Zhou; Sara Aiman; Weikang Gong; Chunhua Li
Journal:  Sci Rep       Date:  2020-05-26       Impact factor: 4.379

6.  Human papillomavirus genotype distribution and socio-behavioural characteristics in women with cervical pre-cancer and cancer at the start of a human papillomavirus vaccination programme: the CIN3+ plus study.

Authors:  Dianne Egli-Gany; Anne Spaar Zographos; Joachim Diebold; Virginie Masserey Spicher; Brigitte Frey Tirri; Rolf Heusser; Joakim Dillner; Patrick Petignat; Roland Sahli; Nicola Low
Journal:  BMC Cancer       Date:  2019-01-30       Impact factor: 4.430

7.  Age-Related Changes in the Fraction of Cervical Intraepithelial Neoplasia Grade 3 Related to HPV Genotypes Included in the Nonavalent Vaccine.

Authors:  Luca Giannella; Giovanni Delli Carpini; Jacopo Di Giuseppe; Sonia Prandi; Dimitrios Tsiroglou; Andrea Ciavattini
Journal:  J Oncol       Date:  2019-11-06       Impact factor: 4.375

8.  Theta-Defensins Inhibit High-Risk Human Papillomavirus Infection Through Charge-Driven Capsid Clustering.

Authors:  Joseph G Skeate; Wouter H Segerink; Mauricio D Garcia; Daniel J Fernandez; Ruben Prins; Kim P Lühen; Féline O Voss; Diane M Da Silva; W Martin Kast
Journal:  Front Immunol       Date:  2020-09-25       Impact factor: 7.561

9.  Prevalence and Subtype Distribution of High-Risk Human Papillomavirus Among Women Presenting for Cervical Cancer Screening at Karanda Mission Hospital.

Authors:  Paul Thistle; Rabea Parpia; Debanjan Pain; Hang Lee; Justen Manasa; Lowell E Schnipper
Journal:  JCO Glob Oncol       Date:  2020-08

10.  A novel speculum-free imaging strategy for visualization of the internal female lower reproductive system.

Authors:  Mercy N Asiedu; Júlia S Agudogo; Mary E Dotson; Erica Skerrett; Marlee S Krieger; Christopher T Lam; Doris Agyei; Juliet Amewu; Kwaku Asah-Opoku; Megan Huchko; John W Schmitt; Ali Samba; Emmanuel Srofenyoh; Nirmala Ramanujam
Journal:  Sci Rep       Date:  2020-10-06       Impact factor: 4.379

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