Literature DB >> 32080997

Human Papillomavirus in the region of La Ribera-Valencia: Present and future.

A Burgos-Teruel, L Bernet, J J Gil-Tomás1, J Jover-García, A López, A Osca.   

Abstract

OBJECTIVE: Human Papillomavirus (HPV) is the main cause of cervical cancer. The etiology and effects derived from this infection are set by molecular techniques and cytological diagnosis, respectively. In the present study, data obtained by an opportunist screening of cervical cancer in La Ribera region are revised and related statistically.
METHODS: Data considering different variables such as age, degree of lesion, HPV type detected and number of virus in coinfection were collected from 1,372 HPV positive cytology samples. HPV detection was carried out by means of three molecular techniques and the degree of lesion was analyzed by cytological diagnosis (Bethesda). In order to determine the relationship between different selected variables, several statistical analyses were performed.
RESULTS: Only degree of lesion variable showed a direct relationship with the rest of variables, increasing with aging process, viral oncogenicity, presence of at least one high-risk virus and with the fact of being mono-infected. The probability of presenting a higher-level degree of lesion multiplied by 28.4 when high-risk HPV was detected in mono-infection.
CONCLUSIONS: HPV molecular detection is the most suitable technique to perform a cervix cancer primary screening for the management of women with negative cytological diagnose. The number of detected types is statistically related to the degree of lesion. The establishment of a properly regulated screening to identify HPV infection, and therefore, of cervical cancer risk, is essential. ©The Author 2020. Published by Sociedad Española de Quimioterapia. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)(https://creativecommons.org/licenses/by-nc/4.0/).

Entities:  

Keywords:  Cancer Screening; Cervical Cancer; Human Papillomavirus

Mesh:

Year:  2020        PMID: 32080997      PMCID: PMC7111244          DOI: 10.37201/req/090.2019

Source DB:  PubMed          Journal:  Rev Esp Quimioter        ISSN: 0214-3429            Impact factor:   1.553


INTRODUCTION

Human Papillomavirus (HPV) belongs to the family Papovaviridae, subfamily Papillomaviridae. This virus is tissue-specific and infects both the cutaneous and mucosal epithelia. Its genome is divided into: an E region, of early expression encoding various structural proteins (E1-E7); an L region, of late expression, which encodes the capsid proteins (L1 and L2); and a regulatory, non-coding region (RNC/LCR), located in the 5’-direction [1]. HPV types have been classified by their tissue tropism (mucous or cutaneous types), as well as their oncogenic potential [High (HR) and Low-Risk (LR) types]. The International Agency for Research on Cancer, defines 16 High-Risk HPV (HRHPV), associated with cancer in humans (types 16, 31, 33, 35, 52, 58, 73,18, 39, 45, 59, 68, 51 53, 56, 66) [2]. HPV-16 and HPV-18 types are responsible globally for 71% of cervical cancer cases [3]. Based on the antigenic and variable region L1 genomic sequence, coding for the major protein of the capsid, about 200 types have been identified and characterized, defined as those that include more than 1% difference in their nucleotide sequence. Phylogenetically, below in the scale of HPV types, lineages and sublineages are found, which differ by 1% and between 0.5-0.9% in their genomic sequence, respectively [2] HPV infection is one of the most common sexually transmitted diseases in the world, as well as the main cause of cervical cancer, with a higher incidence in developing countries [4]. Most infections (70-90%) are asymptomatic and resolve spontaneously in 1-2 years. The disease degree transmission, the asymptomatic infection development and the poor immunological response, are directly related to the virus success in its replicative process. HR-HPV persistent infection, defined as the presence of an HPV specific type in clinical samples separated between 6 months and 1 year, is an indispensable condition for progression to infiltrating carcinoma [5]. Likewise, the sequence of events caused by HPV infection is gradual and detectable by cytology with Papanicolaou staining. The control of the disease is possible through primary (vaccination) and secondary (detection of HPV and cytological diagnosis) preventions, so global eradication of cervical cancer (the only type of cancer with this future forecast) is feasible, due to knowledge of the disease cause, development and treatment. This possible eradication can be achieved by raising the need to control the population infection through vaccination and well-established screenings. The population screening should be well structured, a target population should be identified, appropriate detection techniques should be chosen, and the time intervals should be defined according to age parameters. As a primary control of the infection, a global vaccination strategy against HPV was launched ten years ago. Nowadays, the definitive results derived from this strategy are not available since the population to which it was directed, has just been incorporated into the population screening of individuals susceptible to prevention. In Spain, National Health Service recommendations for HPV secondary prevention have been published, consisting of a women population screening between 25 and 65 years of age [6]. Currently, cervical cancer screening is opportunistic and performed by cervico-vaginal cytology as a screening technique, with a variable periodicity of 1 to 3 or 5 years [7]. In its latest revision (https://bethesda.soc.wisc.edu), The Bethesda System substitutes the term Cervical Intraepithelial Neoplasia (CIN) for Squamous Intraepithelial Lesion (SIL), with two categories: Lowgrade (LSIL) and High-grade (HSIL) [8]. The WHO IARC (World Health Organization International Agency for Research on Cancer) reviewed in its monographs program the scientific evidence in relation to the HPV test as a primary screening technique and concluded [9], like other studies [10], that enough evidence in relation to viral detection tests was found, presenting at least the same results as Papanicolaou staining. According to controlled randomized trials, screening based on the detection of HPV DNA allows an early diagnosis of high-grade cervical neoplasia due to its high sensitivity. In addition, this approach may be more effective in the prevention of cervical cancer since, being a less specific technique than cytology, its negative predictive value is very high [11, 12]. HPV infections can be caused by a single type of virus (mono-infection) or by several at the same time (poly-infection). The effect of one or the other in the development of cervical cancer [13, 14], and the same prognosis of mono and poly-infections are controversial aspects. The aims of this study were: to describe the distribution of the different HPV genotypes and their relationship with the different degrees of cervical pathology (cytology in liquid medium) in the female population selected by opportunistic screening criteria between 2012 and 2017 in Health Department 11 of the Valencian Community; to determine the relationship between the five variables studied for the total sample: cytological diagnosis, age, viral oncogenicity, detection of high-risk virus (HR-HPV) only and mono / poly-infection; and, to describe three molecular techniques comparing their results, among them and with the total samples.

MATERIAL AND METHODS

Cases and population. The series consisted of 3,541 cytology samples including a women population between 25 and 65 years, that underwent HPV detection and morphological study with Papanicolaou staining from liquid cytology (ThinPrep) classified according to Bethesda criteria. 1,372 samples (38.75%) positive for at least one HPV type corresponded to the number of cases in the study. All cases belong to the opportunistic screening program for cervical cancer from 2012 to 2017 in the Department of Health 11 of Valencian Community that serves 46 municipalities with a total population in 2017 (www.ine.es) of 298,182 inhabitants (149,984 women and 148,288 men).

Definitions

Case: positive cytology for HPV detection, regardless of whether it belongs to the same patient in clinical samples separated over time. Degree of lesion: each of the morphological diagnostic categories (Bethesda classification). Low-grade lesion: on the previous scale, from NORMAL to LSIL included. High-grade lesion: on the aforementioned scale, from ASC-H (Atypical Squamous Cells, cannot exclude HSIL) to ADENOCARCINOMA. Viral oncogenicity: ability of each type of HPV to favor progression towards adenocarcinoma [high-risk / low-risk HPV (HR-HPV / LR-HPV)]. Mono-infection: infection caused by a single type of HPV regardless of its viral oncogenicity. Poly-infection: infection of more than one HPV type at the same time regardless of its viral oncogenicity. HPV molecular detection. The detection of HPV DNA in the period was carried out by three different molecular methodologies based on the Polymerase Chain Reaction (PCR). In a first phase, a nested PCR was performed (technique 1) using as external primers MY109 and MY110 and, as internal GP5 + and GP6 +, that amplify a region of the L1 gene. The positive amplifications were sequenced for typing by the dideoxynucleotide triphosphate terminators method and subsequently, the editing with the software ChromasPro (Version 1.7.4 Technelysium Pty Ltd) and the comparison with the sequences of the NCBI database by means of BLAST (Basic Local Alignment Search Tool NCBI NIH), were carried out. The second phase, in addition to the previous one, included another Molecular Biology technique based on hybridization with probes (HPV Direct Flow CHIP Kit, MASTER DIAGNOSTIC (technique 2); this method can distinguish up to 36 HPV types. The negative results by this technique were processed by the nested PCR methodology described above due to its higher sensitivity. And in the third phase, the Anyplex II HPV 28 Detection Kit (Seegene) (technique 3) was used, which simultaneously detected, genotyped and semiquantified in two qPCR reactions, the 28 most prevalent high and low-risk HPV types, using the DPO system and melting curve analysis using TOCE technology. Prior to the three techniques application, DNA extraction and quantification processes were implemented. The extraction was executed following the supplier’s instructions using the Maxwell® 16 FFPE Plus LEV DNA Purification Kit (Promega). DNA concentrations and purity were measured by spectrophotometry at 260 and 280 nm with Nanodrop2000. In techniques 1 and 2, the presence of amplification for subsequent sequencing or hybridization, respectively, was previously detected through an automatic capillary electrophoresis system [QiaXcel Advanced (QIAGEN)]. Statistical analysis. In an electronic database, the following variables were included for each patient: quantitative age; qualitative age in 4 groups (23-35 / 36-45 / 46-55 / > 56); qualitative age in 2 groups (≤ 30 / > 30); results of Papanicolaou staining in 6 groups (ADENOCARCINOMA / HSIL / ASC-H / LSIL / ASC-US (Atypical Squamous Cells of Undetermined Significance) / NORMAL or INFLAMMATION); results of Papanicolaou staining in 5 groups (ADENOCARCINOMA or HSIL / ASC-H / LSIL / ASC-US / NORMAL or INFLAMMATION); high / low-risk HPV: to create this variable, a cytology sample was considered to show an HPV high-risk result if at least one high-risk virus was presented and, a low-risk result, if any high-risk virus was not detected; mono / poly-infection: to create this variable, mono-infected was considered when only one virus was presented and, poly-infected, when more than one virus was detected, regardless of its oncogenicity; and, combination of high / low-risk HPV and mono / poly-infected results (high-risk HPV and poly-infected / high-risk HPV and mono-infected / low-risk HPV and poly-infected / low-risk HPV and mono-infected). In tables 1 and 2, the descriptive analysis of the variables is shown.
Table 1

Descriptive Age (qualitative)

NMinimumMaximumMeanStandard Deviation
1,372256537.4339.207
Table 2

Descriptive Qualitative Variables

VariablesLevelsN%
Age 4 groups23-3566148.2
36-4540429.4
46-5525418.5
>56533.9
Total1,372100
Age 2 groups≤3038828.3
>3098471.7
Total1,372100
‘Papanicolaou’result6 categoriesADENOCARCINOMA20.1
HSIL26019.0
ASC-H433.1
LSIL57041.5
ASC-US31122.7
NORMAL/INFLAMMATION18613.6
Total1,372100
‘Papanicolaou’result5 categoriesADENOCARCINOMA/HSIL26219.1
ASC-H433.1
LSIL57041.5
ASC-US31122.7
NORMAL/INFLAMMATION18613.6
Total1,372100
TechniqueTechnique 117412.7
Technique 257141.6
Technique 362745.7
Total1,372100
High/Low HPV riskLow-Risk (LR)19314.1
High-Risk (HR)117985.9
Total1,372100
Mono/poly HPVMono78257.0
Poly59043.0
Total1,372100
HR/LR Mono/PolyHR Mono-infected60644.2
HR Poly-infected57341.8
HPV infectedLR Mono-infected17612.8
LR Poly-infected171.2
Total1,372100

HSIL: High-grade Squamous Intraepithelial Lesion; (LSIL): Low-grade Squamous Intraepithelial Lesion; ASC-H: Atypical Squamous Cells, cannot exclude HSIL; ACS-US: Atypical Squamous Cells of Undetermined Significance

Descriptive Age (qualitative) Descriptive Qualitative Variables HSIL: High-grade Squamous Intraepithelial Lesion; (LSIL): Low-grade Squamous Intraepithelial Lesion; ASC-H: Atypical Squamous Cells, cannot exclude HSIL; ACS-US: Atypical Squamous Cells of Undetermined Significance A descriptive analysis of the study variables was carried out; the qualitative variables were described by frequencies and percentages and, the quantitative variables, by dispersion measures (minimum, maximum, mean, standard deviation). A bivariate analysis was performed between the variables ‘Papanicolaou staining’, ‘high/low-risk HPV’ and ‘mono/poly-infection’ results with age (age variable was analyzed in a quantitative and qualitative way). In addition, a bivariate analysis was carried out in which the ‘Papanicolaou staining’ result was compared with the ‘high/low-risk HPV’ and ‘mono/poly-infection’ results. The qualitative variables were compared using the Chi square test, the quantitative variables with two levels, using the Student’s T test and the quantitative variables with more than two levels, using the ANOVA and the post hoc Tukey tests to detect between which levels the differences were statistically significant. Odds Ratio (OR) and 95% confidence intervals were calculated by adjusting simple logistic regression models. A confidence level of 0.05 was considered for the results interpretation. A virus type descriptive analysis was accomplished in each of the ‘Papanicolaou staining’ results categories; specifically, the number of patients belonging to each virus as well as to each virus combination found, were described. For the most frequent viruses (16, 18, 31, 33, 42, 51, 53, 56, 66, 45, 58, 59 and 68) a dichotomous variable “The patient presents the virus (yes / no)” was created; this variable took the value ‘yes’ when the virus studied was detected in the cytology sample and takes the value ‘no’ when the virus studied was not. Subsequently, the dichotomous variables “The patient presents the virus (yes / no)” were compared with the ‘Papanicolaou staining’ results by the Chi square statistical test.

RESULTS

Distribution. The distribution of HPV types in this series is detailed in figure 1. In this study, the most frequent genotypes were 16, 31, 33, 53, 51 (HR types) and 42 (LR type). 71.7% of the total cases (n = 1,372) corresponded to 30-years-old women or older. Infection induced by at least one HR-HPV was observed in 85.9% of the samples studied, whereas a 14.9% of the cases suffered from a LR-HPV infection. 57% of cases belonged to mono-infection.
Figure 1

Distribution of HPV types.

Relationship between the different studied variables

a) General situations. The diagnostic distribution of the 1,372 cases (positive HPV), according to Bethesda system, is shown in table 3. A multivariate study showed that only the variable “degree of lesion” (Papanicolaou test), of all the variables studied, presented a statistically significant direct relationship with each other. Thus, the degree of lesion increased with age, viral oncogenicity, the presence of at least one highrisk virus and with being mono-infected (p <0.007, p <0.001, p <0.001, p <0.05, respectively).
Table 3

Diagnostic distribution of the 1,372 cases (positive HPV), according to Bethesda system

LesionADENOCARCINOMAHSILASC-HLSILASC-USNORMAL
%0.1193.141.522.713.6

HSIL: High-grade Squamous Intraepithelial Lesion; LSIL: Low-grade Squamous Intraepithelial Lesion; ASC-H: Atypical Squamous Cells, cannot exclude HSIL; ACS-US: Atypical Squamous Cells of Undetermined Significance.

Diagnostic distribution of the 1,372 cases (positive HPV), according to Bethesda system HSIL: High-grade Squamous Intraepithelial Lesion; LSIL: Low-grade Squamous Intraepithelial Lesion; ASC-H: Atypical Squamous Cells, cannot exclude HSIL; ACS-US: Atypical Squamous Cells of Undetermined Significance. Distribution of HPV types. Bar color red: most common HR-HPV types; bar color green: most common LR-HPV types; bar color blue: rest of HR/LR types. In this series, LSIL was more frequent in the group ≤ 30 years, and HSIL in > 30 years. High-grade lesions showed a higher frequency of HR-HPV. When the infection was solely due to HR-HPV, the risk of presenting a high-grade lesion with respect to NORMAL citology was 28.4 times higher. Thus, the risk of displaying a high-grade lesion if the HPV corresponded to high-risk was multiplied by 28.4. In addition, if poly-infection existed, the probability of obtaining a LSIL than NORMAL cytological result was multiplied by 2 (with data from technique 3) (OR = 2.16) (CI 1.36-3.44) (p < 0.05). The frequency distribution of lesions with different variables is shown in table 4.
Table 4

Frequency distribution of lesions with the different variables

Age (years)% HR-HPVHR Mono N (%)HR Poly N (%)Mono/poly-infection
ADENOCARCINOMA100160 (61.07)99 (37.79)HR-mono
HSIL>3098.8
ASC-H88.416 (37.21)22 (51.16)HR-poly
LSIL85.1222 (38.95)263 (46.14)HR-poly
ASC-US≤3082.6147 (47.27)110 (35.37)HR-mono
NORMAL75.361 (32.8)79 (42.47)HR-poly

HSIL: High-grade Squamous Intraepithelial Lesion; LSIL: Low-grade Squamous Intraepithelial Lesion; ASC-H: Atypical Squamous Cells, cannot exclude HSIL; ACS-US: Atypical Squamous Cells of Undetermined Significance.

Frequency distribution of lesions with the different variables HSIL: High-grade Squamous Intraepithelial Lesion; LSIL: Low-grade Squamous Intraepithelial Lesion; ASC-H: Atypical Squamous Cells, cannot exclude HSIL; ACS-US: Atypical Squamous Cells of Undetermined Significance. b) Particular situations. Related to viral genotype, HPV 16 was associated more frequently with HSIL / LSIL (p <0.001) than with the other Papanicolaou staining diagnoses; the risk of submitting a high-grade lesion was almost 10 times higher. In this study, the relationship between detecting an HPV 16 and the degree of lesion presented the following OR with respect to NORMAL cytology: HSIL (OR = 9.24), ASC-H (OR = 3.27), ASC-US (OR = 1.76) and LSIL (OR = 1.71). HPV 42 was linked with a higher frequency of ASCUS and NORMAL results (p = 0.001). If virus 42 was detected, the risk of ASC-H, ASC-US, HSIL and LSIL was less than being NORMAL (OR = 0.46, OR = 0.86, OR = 0.24, OR = 0.96, respectively). HPV 56 was more frequently associated with LSIL diagnosis than with the rest of diagnoses (p = 0.001). The risk of being LSIL versus being NORMAL was 1.89 times higher. HPV 66 was more frequently related to LSIL, being less frequent ASC-H and HSIL for this genotype (p = 0.004). Table 5 shows the distribution according to the cytological diagnosis of HR-HPV types in mono and poly-infection, as well as the most frequent combinations.
Table 5

Distribution of HR-HPV types in mono/poly-infection and the most frequent combinations, according to the cytological diagnosis.

Cytological diagnosisMost frequent HPV in mono-infectionMost frequent HPV in poly-infectionMost frequent combination
HSIL16 (61.4%)16 (27.1%)16 +33
LSIL16 (25%)16 (11.4%)16+56,16+33
ASC-US16 (33%)31 (19.6%)none
NORMAL16 (27.9%)53 (7.7%)none

HSIL: High-grade Squamous Intraepithelial Lesion; LSIL: Low-grade Squamous Intraepithelial Lesion; ACS-US: Atypical Squamous Cells of Undetermined Significance.

Distribution of HR-HPV types in mono/poly-infection and the most frequent combinations, according to the cytological diagnosis. HSIL: High-grade Squamous Intraepithelial Lesion; LSIL: Low-grade Squamous Intraepithelial Lesion; ACS-US: Atypical Squamous Cells of Undetermined Significance. Comparison amongst the three techniques. As explained previously, three techniques were employed for the detection of HPV: 45.7% was determined by technique 3, 41.6% by technique 2 and 12.7% with technique 1. a) Relationship between the degree of lesion and infection with HR-HPV. In the total samples, the probability of presenting a highgrade lesion is multiplied by 28.4 times when the infection is caused by HR-HPV. It’s multiplied by 18.75 times with technique 1; by 32.4 in technique 2, and with technique 3, HR-HPV was detected in 100% of HSILs. b) Relationship between the degree of lesion and mono or poly-infection, regardless of its oncogenic potential. With the total samples, significant differences between both variables occurred (p = 0.007); regarding to the degree of lesion, mono-infection and poly-infection were not comparable. From ASC-US to LSIL, the most frequent situation was poly-infection, while in high-grade lesions, mono-infection. All the results obtained were mono-infections applying technique 1. Therefore, no relationship could be established; by applying technique 2, no significant differences existed relating both variables; and with technique 3, significant differences between both variables happened (p = 0.00009), with the same considerations applied for the total of samples. c) Mono or poly-infected with HR-HPV or LR-HPV only. In the total of samples, HR-HPV in mono or poly-infection was related to a value of p <0.001; this relation was not observed in the case of LR-HPV. These same results were obtained by applying technique 3 (p <0.001). In technique 1, only mono-infections were found, so no relationship could be established; with technique 2, no statistical difference was found in the relationship of being HR-HPV / LR-HPV mono or poly-infected with the cytological study result.

DISCUSSION

The detection of HPV DNA in opportunistic screening cytology samples from Health Department 11 of the Valencian Community was carried out during a four-year period with three different PCR-based techniques. Data in this study, unlike others, were based on opportunistic and non-population screening. Thus, relative quantities to the total of the series were described and the terms “detection rates” or “frequencies” were used, against incidence or prevalence. Of the total cases, three out of four (71.7%) corresponded to women over 30 years of age; in this age group, at least one HR-HPV was detected in 9 out of 10. The high rate of HR-HPV (85.9%) in this series is probably related to the easy and fast transmission of the virus itself and could suggest a colonization process rather than infection. In addition, only one in five cases progressed to lesion greater than HSIL. Thus, according to published data, a regression rate of 77.8% was observed [15]. Consistent with cytological diagnoses distribution (table 3), 13.6% of them would not have been detected taking cytology as a primary screening test, being NORMAL, but detecting at least one HPV by PCR techniques. High-grade lesions were more frequent in women over 30 years of age than in younger women (88.4-100% vs. 75.3-85.1%; table 4), which is related to the logical temporal evolution of the lesions. The probability of presenting a high-grade lesion was 28.4 times higher when a HR-HPV is detected in mono-infection. 2 out of 3 cytology samples with a high-grade lesion showed an HR-HPV in mono-infection. However, the variable ‘poly-infection’, even in HR-HPV types, was associated with low-grade lesions in this series. The influence of mono or poly-infection incidence on the development of cytological lesions is a controversial issue [13, 14]. Data from this study suggest that poly-infection is a protective mechanism based on establishing a balance between the infectious virus types. Consequently, hegemony of any of them is not allowed and cytological morphology progresses to higher levels of LSIL. As the degree of lesion evolves, the HPV number and types involved decrease. From ASC-US to LSIL, any type of HPV (HR or LR) was found; however, from LSIL onwards, higher frequency of high-risk types 16, 31, 51 and 53 were observed, being considered in our environment as the most oncogenic types. Also, the types 56 and 66, considered HR-HPV, prevailed especially in low-grade lesions which should rethink the definition of their oncogenicity. These types could produce highgrade lesions in selected patients due to immunosuppression or other causes as occurs with many other microorganisms considered non-pathogenic. However, high-grade lesions were not produced by these types in the study population. In mono-infection, 1.2% of HSIL were associated with LR-HPV exclusively (6 and 11), as well as 11.6% of ASC-H (42,54,67 and 70). Although this unexpected event could rethink the classification of these viruses as LR-HPV, these results could be attributed to the limitations of the techniques used, since most of these results (6 of 8 results) derived from technique 2, in which the correlation between sensitivity and specificity is not its main characteristic. The remaining two cases were detected with techniques 1 and 3. The high detection rate of HPV 16 (32.36% overall) was independent of the extent of the lesion, appearing even in samples with NORMAL cytological diagnosis. Consequently, screening based only on cytology, infra diagnose this type of infections in which lesions progress slowly. According to the techniques employed, technique 1 performed a sequence PCR, whereby sequencing of several types at the same time was not possible. Thus, all patients presented mono infection when using this technique; employing technique 2, statistically significant relationship between mono-poly infection and the Papanicolaou staining result (p = 0.126) was not discovered; and, with technique 3, a statistically significant relationship between mono-poly infected and Papanicolaou staining was found (p <0.05); a poly infected patient presents 2,159 (1,136-3.44) times more risk of belonging to LSIL than NORMAL. Among the techniques used, technique 3 showed the best data due to its technology and the ability to detect different types of coinfectant viruses by analyzing melting curves. Regarding the present data, greater sensitivity and reproducibility of technique 3 versus 2 is shown. Technique 3 provides a good correlation between sensitivity and specificity, allowing HPV typing in all cases (data not shown). The data and results provided are based on the opportunistic screening of HPV carried out in Department 11 of the Valencian Community and are representative of this geographical area. In addition, and as far as is known, this is the only descriptive and statistical study of opportunistic HPV screening in the Valencian Community. At this time, the National Health Service of Spain has set the basis to establish a national system of cervical cancer population screening [6]. This system will allow a control of this pathology, the study of its evolution and possible disease eradication with the establishment of primary and secondary prevention measures. The GARDASIL 9® vaccine immunizes against types: 6, 11, 16, 18, 31, 33, 45, 52, 58. Although data on the vaccinated population are not yet available, this study concludes that HR-HPV 51 and 53, not included in the vaccine, appear with a frequency (8.97% and 10.13% respectively) similar to some contained in this vaccine. This fact suggests a natural selection of these types compared to others, and therefore raises reconsideration of the types to be included in future vaccines. The detection of HPV leads in the consideration of other adjuvant factors for better infection management; factors such as genotype, the presence of a poly or mono-infection or oncogenic capacity, together with the extent of the lesion, will influence the monitoring and treatment of the infection.
  9 in total

Review 1.  The causal relation between human papillomavirus and cervical cancer.

Authors:  F X Bosch; A Lorincz; N Muñoz; C J L M Meijer; K V Shah
Journal:  J Clin Pathol       Date:  2002-04       Impact factor: 3.411

2.  Assessment of cytologic follow-up as the recommended management for patients with atypical squamous cells of undetermined significance or low grade squamous intraepithelial lesions.

Authors:  K W Alanen; L M Elit; P A Molinaro; C M McLachlin
Journal:  Cancer       Date:  1998-02-25       Impact factor: 6.860

3.  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

4.  Linear viral load increase of a single HPV-type in women with multiple HPV infections predicts progression to cervical cancer.

Authors:  Christophe E Depuydt; Sofie Thys; Johan Beert; Jef Jonckheere; Geert Salembier; Johannes J Bogers
Journal:  Int J Cancer       Date:  2016-07-09       Impact factor: 7.396

5.  Multiple Human Papilloma Virus Infections and Their Impact on the Development of High-Risk Cervical Lesions.

Authors:  Katrina L Salazar; Haijun Steve Zhou; Jiaqiong Xu; Leif E Peterson; Mary R Schwartz; Dina R Mody; Yimin Ge
Journal:  Acta Cytol       Date:  2015-12-15       Impact factor: 2.319

6.  HPV screening for cervical cancer in rural India.

Authors:  Rengaswamy Sankaranarayanan; Bhagwan M Nene; Surendra S Shastri; Kasturi Jayant; Richard Muwonge; Atul M Budukh; Sanjay Hingmire; Sylla G Malvi; Ranjit Thorat; Ashok Kothari; Roshan Chinoy; Rohini Kelkar; Shubhada Kane; Sangeetha Desai; Vijay R Keskar; Raghevendra Rajeshwarkar; Nandkumar Panse; Ketayun A Dinshaw
Journal:  N Engl J Med       Date:  2009-04-02       Impact factor: 91.245

7.  Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.

Authors:  Freddie Bray; Jacques Ferlay; Isabelle Soerjomataram; Rebecca L Siegel; Lindsey A Torre; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2018-09-12       Impact factor: 508.702

8.  [Changes in screening of cervical cancer].

Authors:  Silvia de Sanjosé
Journal:  Aten Primaria       Date:  2016-11       Impact factor: 1.137

9.  Efficacy of HPV-based screening for prevention of invasive cervical cancer: follow-up of four European randomised controlled trials.

Authors:  Guglielmo Ronco; Joakim Dillner; K Miriam Elfström; Sara Tunesi; Peter J F Snijders; Marc Arbyn; Henry Kitchener; Nereo Segnan; Clare Gilham; Paolo Giorgi-Rossi; Johannes Berkhof; Julian Peto; Chris J L M Meijer
Journal:  Lancet       Date:  2013-11-03       Impact factor: 79.321

  9 in total

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