Human Papillomavirus related issues in western Kazakhstan: protocol for a comprehensive study

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Yerbol Z. Bekmukhambetov, Ospan A. Mynbaev, Andrea Tinelli, Saule K. Balmagambetova, Arip K. Koyshybaev, Olzhas N. Urazayev, Elnara K. Ismagulova, Oxana V. Zavalennaya, Svetlana E. Koktova, Klara K. Sarkulova, Zhanna Urazayeva, Gulmira G. Yerimbetova, Zhandos A. Dosakhanov, Zhongjie Shi, Lin Ma, Sergey V. Firichenko, Ioannis P. Kosmas, Kogershin A. Tauekelova
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e0408
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Abstract: 
This article describes a Protocol for a study to determine a scope of Human Papillomavirus (HPV) infection and evaluate cervical cancer prevention measures in the western Kazakhstan. Introduction — ICO (Institut Catala d’Oncologia) working group in 2015 informed that cervical cancer in Kazakhstan ranked as the 1st most frequent cancer among 15-44 aged women. Aim — comprehensive analysis of the HPV infection across the female population to predict further trends in the cervical cancer morbidity and outline the circle of urgent preventive measures. The most important tasks are the following: to analyze a set of clinical, laboratory and socio-demographic data for identification the region-specific risk factors of the disease; to present a comparative analysis of diagnostic screening tools practiced in the region for the development corrective recommendations for existing screening strategy. Methods — This study constitutes a mix of three different types: interview+cross-sectional study for general female population and interview+case-control study for women with the first time diagnosed cervical cancer, where women of the general sample of the same age with detected HPV infection but not affected by the disease serve as a control for those with the disease. Anticipated Results — A high feasibility and pithiness of this study is expected. Obtaining a wide body of information relatively HPV scope and a quality of the screening process during a patient’s single visit is the main strength of the research. Conclusion — Successful implementation of challenges announced in the research can lead to changing a general vector or/and constituent parts of the existing screening program.
Cite as: 
Bekmukhambetov YZ, Mynbaev OA, Tinelli A, Balmagambetova SK, Koyshybaev AK, Urazayev ON, Ismagulova EK, Zavalennaya OV, Koktova SE, Sarkulova KK, Urazayeva Z, Yerimbetova GG, Dosakhanov ZA, Shi Z, Ma L, Firichenko SV, Kosmas IP, Tauekelova KA. Human Papillomavirus related issues in western Kazakhstan: protocol for a comprehensive study. Russian Open Medical Journal 2018; 7: e0408.

Introduction

ICO (Institut Catala d’Oncologia) working group in its annual report of 2015 informed that cervical cancer (CC) in Kazakhstan ranked the 2nd most frequent cancer among women and the 1st most frequent cancer between 15 and 44 years of age, with roughly calculated incidence rate 32.8 per 100,000 women standardized by age [1]. According to the IARC (International Agency for Research on Cancer) data as of 2012 for CC incidence by countries (data assessed Nov. 15, 2015), Kazakhstan took one of the highest places amongst at least borderline countries with 29.4 estimated age-standardized rate per 100,000, whereas corresponding index in Russia was 15.3, 13.5 in Uzbekistan and 7.5 in China  respectively [2]. In the meanwhile, average incidence across less-developed countries estimated as 15.7 [3].

Despite the rapid accumulation of knowledge on the CC pathology, its total incidence and rank in causes of female mortality worldwide remains high, due to yet large number of countries not contributing enough to proper research and prevention, for example, postsoviet countries. According to meta-analysis on global availability of Human Papillomavirus (HPV) types distribution, contribution of postsoviet space is limited by 0-2 publications annually [4]. Researchers from Russia, Rogovskaya et al., in 2013 comprehensively described current unsatisfactory status of HPV-attributable issues and related CC prevention measures accepted in aforementioned countries [5]. For example, overall HPV prevalence and types distribution still remains mostly unknown in the Republic of Kazakhstan. Studies on HPV prevalence are just begun in the country. In 2013-2014 our research group performed a pilot study in western Kazakhstan resulted in total prevalence of highly carcinogenic (HR) HPV types within 26%, but the study had a lot of limitations [6].

In 2008 a system of the cervical cancer preventive measures has been established in our country, according to the State Program for the Development of Health of the Republic of Kazakhstan "Salamatty Kazakhstan". According to the Program, women to be screened are in age 30-60 years with interval every 5 years. The methods are characterized by full dominance of cytology: liquid-based cytological technology (LBC) “Cell Scan” system (manufactured by South Korea, Tech. Bio. Co) for the national program and a simple method with staining by Romanovsky-Giemsa usually used in opportunistic practices.

However, despite the presence of state-scale program, alarming growth of the CC incidence makes revise the existing screening design in the country.  

Therefore, the present study aims to solve a wide range of issues relating to the scope of HPV infection in western Kazakhstan.

Aim of the research – comprehensive analysis of the Human Papillomavirus infection in female population in western Kazakhstan to predict further trends in the cervical cancer morbidity and determine the circle of urgent preventive measures.

Objectives of the research:

  1. to determine the overall frequency of HPV detection amongst women across the region;
  2. to identify the most common HPV types with the definition of viral load in different age groups;
  3. to perform a comparative analysis of diagnostic tools for cervical cancer screening practiced in the region for development corrective recommendations for the screening strategy;
  4. to analyze a set of clinical, laboratory and socio-demographic data for identification the region-specific risk factors for cervical cancer.

 

Material and Methods

Study setting

The study is registered in ISRCTN (International Standard Randomised Controlled Trial Number) registry, No. ISRCTN71514910, 02.01.2018.

The present study is held in full accordance with the Helsinki Declaration principles and the STROBE Check-list.

Research hypothesis and rationale of this study: given the high incidence of the CC (32.8 per 100,000 female population) despite the running National Cervical Cancer screening program, high prevalence of the HR-HPV along with results evidencing low efficacy of the practiced screening measures are expected. Therefore, this situation needs to be comprehensively evaluated in order to explore reasons of such a phenomenon and shortcomings of the National program.

Work is being performed by research team of the West Kazakhstan Marat Ospanov State Medical University with consultative participation of Collaborators from Italy (Salento University) and Russian Federation (Laboratory of Human Physiology, Moscow Institute of Physics and Technology (State University), indicated in Authors. All involved specialists are qualified in cervical pathology. Training for the Project staff was held by schedule in 2015. Recruitment of sentinel specialists and midwives for data collection was not implied.

HPV L1 gene sequencing is being carried out by Genetic Lab of the National Center for Biotechnology of the Committee of Science of the Republic of Kazakhstan on a basis of the Agreement of scientific cooperation (Contract  № 452, 25.05.2015, Head of the Lab  Zholdybayeva E.V., M.D., Ph.D.).

 Study territory – 4 western provinces of Kazakhstan: Aktobe, West Kazakhstan (Uralsk), Mangystau (Aktau), Atyrau.

Population density in western region – 3.4 persons / sq. km.

Men / women ratio – 48 % / 52 %.

Number of population in each province and regional city is shown in Table 1.

 

Table 1. Number of urban population in each province and regional city

Provinces

Capital city and districts

Populations

Density

per km2

Total (m+w)

Total (w)

Female 18-60 aged

Aktobe

Aktobe province

 

834,768

425,436

270,200

RCC

Aktobe

1,376

428,024

222,572

145,785

RDs of the Aktobe province

Alga

5

 

 

 

Ayteke Bi

1

 

 

 

Bayganin

< 1

 

 

 

Kargaly

3

 

 

 

Kobda

1

 

 

 

Khromtau

3

 

 

 

Martuk

4

 

 

 

Mugalzhar

2

 

 

 

Oiyl

2

 

 

 

Shalkar

1

 

 

 

Temir

3

 

 

 

Yrgyz

< 1

 

 

 

Mangystau

Mangystau province

 

626,793

305,239

182,100

RCC

Aktau

1321

184,541

95,961

59,496

RDs of the Mangystau region

Beyneu

2

 

 

 

Karakiya

1

 

 

 

Mangystau

1

 

 

 

Munaily

26

 

 

 

Tupkaragan

2

 

 

 

Atyrau

Atyrau province

 

594,562

296,030

176,700

RCC

Atyrau

83

271,634

141,250

85,032

RDs of the Atyrau province

Inder

3

 

 

 

Isatay

2

 

 

 

Kurmangazy

3

 

 

 

Kyzylkoga

1

 

 

 

Makat

6

 

 

 

Makhambet

3

 

 

 

Zhylyoi

3

 

 

 

West Kazakhstan

West Kazakhstan province

 

636,852

325,511

201,200

RCC

Uralsk

405

278086

144604

89800

RDs of the West Kazakhstan province

Akzhaik

2

 

 

 

Bokey Orda

1

 

 

 

Borili

10

 

 

 

Karatobe

2

 

 

 

Kaztal

2

 

 

 

Shyngyrlau

2

 

 

 

Syrym

2

 

 

 

Taskala

2

 

 

 

Terekti

4

 

 

 

Zelenov

8

 

 

 

Zhanakala

1

 

 

 

Zhanybek

2

 

 

 

Total: 4 provinces

4 cities,

35 RDs

 

 

 

 

Information on density and number of urban population has been extracted from the data of the National Statistics Agency “Population of the Republic of Kazakhstan by individual ethnic groups at the beginning of 2014”; http://www.stat.gov.kz.
RCC, regional capital city; RDs, regional districts; m, men; w, women.

 

Design and the PICOT algorithm of the combined study

This observational study constitutes a mix of three different types: interview+cross-sectional study involving general female population and interview+case-control for women with the first time diagnosed cervical cancer, where women of the general sample of the same age with detected HPV infection but not affected by the CC serve as a control for those with the disease.

Survey (interview) and cross-sectional study in general sample are conducted at the same time, during a single visit.  Data collection for the interview+case-control study in cancer patients is held separately, also during a single visit.

Principles of the population selection (sites, inclusion and exclusion criteria) and intervention (examination routine) are showed in Figure 1.

 


Figure 1. Flowchart of the study.

 

In determining the sample size calculation, the following points mattered:

  1. according to a pilot study of the West Kazakhstan University  on HPV as of 2014, N for HPV typing was 1098, with valid statistical results on the HR-HPV prevalence as 26.04% (p≤0.043) [6];
  2. from the republican statistical data as of 01.01.2014 urban female population (capitals of the provinces, suburbs and small towns, see Table 1) was taken across 4 provinces of western Kazakhstan (at expected HPV prevalence ±25%). In total, N according to calculations in the program SAS.9.3 (two-side type I error of p<0.05, CI 95%) was 1,152, of which 417 in Aktobe, 253 in Uralsk, 237 in Atyrau and 245 in Mangystau.

When calculating sample size for the CC cases, the number of adult (18+) female population of the republic was taken and the incidence of cervical cancer in Kazakhstan (data of the Committee on Statistics of the Republic of Kazakhstan “Health of the population of the Republic of Kazakhstan and the activities of health organizations in 2014. Statistical collection of the Republic of Kazakhstan”.  Astana, 2015. http://www.mzsr.gov.kz) equaled 4.8%. The sample size was calculated using the formula:

   (1)

where Z(α)=1.96 – critical values of the normal standard distribution for a given α=0.05; N – number of female population of the republic (6,700,000); p=0.048 – Incidence of cervical cancer; q=1-p=0.952; Δ=0,05 – sampling error. According to calculations, the sample size should be 67 people in each group (“cases” and “controls”).

Examination routine consists of the following steps:

  1. Acquaintance with patient and filling in the Informed Consent Form with all necessary explanations done by specialist. The form has been developed in two practiced languages, Russian and Kazakh, optional.
  2. Interview. To reach maximally possible effectiveness of the interview all local specialists are asked to leave the room. Interview is held by the member of the research team tet-a-tet. Participants are asked to feel free – true name is not required. The text of a Questionnaire is placed below. Active assistance to patient when filling in the questionnaire is not permitted, but relevant explanations on the questionnaire issues may be done.
  3. Clinical examination. Performance of simple colposcopy; collection of polymerase chain reaction (PCR) HPV smears; collection of cytological smears by two different methods – LBC and simple cytological smear (stained by Romanovsky-Giemsa, commonly practiced in the country for opportunistic screening, especially in private clinics); performance of extended colposcopy with acetic acid and Lugole Iodine; biopsy when CIN-I-II-III in general sample is supposed.
  4. Filling in blanks and forms provided by the study with further entering all information obtained into database. Guidelines for database entering is placed in the Appendix 1.

Questionnaire for the survey has been designed in semi-structured, mostly closed-ended manner to provide collection of data reflecting the role of well-known risk factors in the development CC. The questionnaire also has been developed in two languages, Russian and Kazakh. Preliminary testing in focus-group has not been done. The list of questions are identical both for women from the general sample and women who were being diagnosed the disease. Content of the questionnaire is shown in Table 2.

Interpretation and grading of the answer options are also given in the Appendix 1. For validation purposes, the developed questionnaire should be analyzed for internal consistency of questions with the definition of the Cronbach’s alpha, according to current requirements to such a survey [7].

 

Table 2. Sample of the Questionnaire

Issues

Answer options

Name (first, last) (not mandatorily)

 

Date of birth

 

Address or/and contact mob.

 

Ethnicity

 

Education

 

Occupation

- Unemployed

- Housewife

- Retired

- Employed (occupation/profession)

Monthly income per capitа

 

Total number of pregnancies

 

Presence of close relatives with cervical cancer (no matter, currently or in the past)

- Yes

- No

Age of onset of sexual activity

 

Duration of sexual life, regardless

duration of marriage

 

Number of sexual partners during lifetime, irrespective of the intercourses duration 

 

The use of oral contraceptives (Birth control pills)

(only for aged <49)

- I do not apply

- I use BCP

Smoking

(regardless lasting and number of cigarettes smoked)

- Yes

- No

State medical institutions (PHC) attendance

- Constantly

- Sometimes

- Never, only private or insurance clinics

Participation in State Screening Programs (only for aged 30+)

 

- Full participation (always)

- Partial participation (sometimes, irregularly)

- Full  nonparticipation

Cervical cancer vaccination awareness and perception

 

- I know nothing about vaccination

- I heard about the vaccine, but do not know how to treat

- I would like to be vaccinated against cervical cancer (I welcome)

- I am strongly opposed to vaccination (consider harmful)

* Data on income issue were taken from the site of the Committee on Statistics of the Ministry of National Economy for the IV quarter 2014 (data on living standards). The subsistence minimum which determines the poverty line amounted to KZT 18546-18774, or appr. 100-105 US$, according to currency exchange as of November 2014; http://www.stat.gov.kz.

 

 

Comparison

Overall, two large groups for comparison are provided by this study: HPV infected vs. not infected subjects with consequent analysis of all obtained data:

  1. total HPV prevalence and distribution of leading types across the each province and each age group;
  2. data on risk factors obtained in the interview;
  3. cytological data are compared with relevant analysis of HPV findings amongst normal cytology and further towards CIN-III (Cervical Intraepithelial Neoplasia). Data on different methods (LBC “Cell Scan” vs. conventional method) are compared, involving all obtained histological conclusions which serve as an independent evaluative parameter.

For comprehensive analysis of the key risk factors, comparison by matching between the subjects from the case-control and cross-sectional (general) samples is implied. Women from the cross-sectional (general) sample serve as a control group for patients with diagnosed CC under the following conditions: women of the same age, infected with HPV but not affected by the cervical cancer, i.e. clinically healthy; matching in scale 1:1, i.e. 67 subjects in each group of comparison. Selection of the control group for the matching is made according the age criterion and also with the help of the random number generator, i.e. each HPV-infected, but not affected by the disease person has equal chances to get into the control group.

 

Outcomes

Study key endpoints:

  1. Total HPV prevalence across the region and across the each province;
  2. Average viral load in HPV infected, both in general population and in the group of the CC diseased;
  3. HPV leading types in general population and in CC diseased;
  4. % of women infected with HR-HPV types in each age categories;  
  5. Overall specific gravity and distribution of HPV different types in normal cytology;
  6. The most significant risk factors for the CC implementation;
  7. Probability of the Cervical cancer (odds ratio).

Surrogate endpoints:

  1. Results of comparison of two cytological methods operating in the region:
    1. amount of non-informative material by each method;
    2. degree of concordance with histological conclusions in each method;
    3. results of receiver operating characteristics (ROC) analysis;
  2. results of Kappa statistics;
  3. Colposcopic data: correlation between HPV viral load and points of the reid colposcopic index (RCI);
  4. Overall trend of CC morbidity in the region and across the each age categories;
  5. Detection of various HPV gene L1 isolates circulating in the region.

 

Time

Data collection from each regional city is held during 3-4 trips of the research team for a period of 2 weeks. As for Aktobe, data are collected permanently.

 

Methods and equipment for data collection

HPV data collection

Smears for PCR HPV typing are taken with urogenital probe.

Qualitative and quantitative detection of HPV types is carried out with test systems “Quantum-21” (Manufacturer "DNA Technology", Russia) using thermocycler DT-prime (the same production). The company's products are certified (ISO 13485: 2012).

Thermocycler: 96-hole, 4-channel, allows to perform multiplex analysis, registered in the Republic of Kazakhstan (RK-MT-7-№013267; 07.23.2014).

Test systems “HPV-21 Quantum” allow the detection of the following types: 6, 11, 16, 18, 26, 31, 33, 35, 39, 44, 45, 51, 52, 53, 56, 58, 59, 66, 68, 73, 82 (total 21). Analytical sensitivity of the test-system is more than 95%; data on specificity is not shown by manufacturer.

Reagent kits PROBA-NK-PLUS (the same production) are used to isolate the viral DNA, with absolute type of analysis, i.e. a certain number of viral copies in the sample is measured in genomic equivalents (GE) with a logarithmic calculation. Viral load up to 103 HPV GE accounted for 100,000 human cells is regarded to "small", from 103 to 105 GE is regarded  to "average", and GE 105 and above – to "high" respectively.

Transportation and storage of samples are carried out in accordance with the manufacturer's instructions.

 

Cytological data collection and evaluation

Smears by conventional method (staining by Romanovsky-Giemsa) are taken with Aire spatula (ectocervix) and cytobrush (endocervix) respectively. Taking smears for LBC is performed with cytobrush, according to manufacturer instructions, as well as transportation and storage of vials. Preparations for the liquid based method are carried out on the South Korean equipment «CellScan-100" (semi-automatic) and «CellScan-200" (automatic). Preservative fluids and technology «Cell Scan» are widely used in the Republic of Kazakhstan since 2013 for the CC screening. “Cell Scan” is produced by IMSTAR  technology (France) and, according to the manufacturer, tested on a representative sample of 25,000 women (the data are taken from: http://www.imstar.fr). The specificity of the test is >85% and a sensitivity >90%. Commercial introduction and production are carried out by LTD "Tech Bio Co.", South Korea. We have found no publications on its effectiveness as well as the Russian test systems Quantum-21 in world periodicals. Interpretation and grading of smears obtained by two different methods is held according to the Terminology Bethesda System (TBS), 2001. Detailed list of all possible cytological changes for account in this study is given in the Appendix 1.

 

Colposcopic data collection and evaluation

Colposcopic data are collected by certified experienced members of the research team across the region. In most of medical institutions of the country South Korean video colposcopes are set.  Exam is performed according to commonly accepted method. For evaluation and grading of colposcopic pictures we use classical colposcopic index by Reid [8]. Detailed list of possible colposcopic changes for account in this study is given in the Appendix 1.

Besides all aforementioned procedures HPV L1 gene sequencing is held in every case of the CC. Gene L1 is often used for sequencing in order to identify HPV types precisely and reveal their geographic path.

 

HPV L1 sequencing method and equipment used in this research

DNA extraction for further gene sequencing is performed using QIAamp DNA Mini Kit (Qiagen Ltd, Crawley, UK), according to manufacturer’s instructions.

 Amplification and sequencing of HPV L1 gene

The L1 gene of HPV is amplified using the consensus primers MY09HPV 5’-CGTCCMARRGGAWACTGATC-3’ and MY11HPV 5’ – GCMCAGGGWCATAAYAATGG -3’, according to commonly accepted methodics [9]. The PCR products are analyzed by 1.0% agarose gel electrophoresis and stained with ethidium bromide. Purification of PCR products from unrelated primers is carried out using an enzymatic method, Exonuclease I (Fermentas) and alkaline phosphatase (Shrimp Alkaline Phosphatase, Fermentas) as described in the manufacturer’s protocol. In order to eliminate nonspecific fragments additional method of the PCR product purification by precipitation in the presence of polyethylene glycol (PEG 6000) is used.  The purified DNA is used as the target for direct nucleotide sequencing using a Cycle Sequencing kit (BigDye Terminator version 3.1; Applied Biosystems, USA), followed by analysis in Genetic Analyzer 3730xl DNA Analyzer (Applied Biosystems).

Phylogenetic analyses are conducted using the MegAlign program from the LASERGENE software package (version 6.0; DNAstar, Madison, WI) and with MEGA version 5.0 software, http://www.megasoftware.net). A multiple alignment is being created through Clustal W software, and the neighbor-joining method is used for the construction of the phylogenetic tree.

 

Statistical analysis

Statistical processing of the results is held mostly on a basis of software Statistica, version 10.0 (Dell Software Inc., USA). Distribution of data is being assessed using the Kolmogorov-Smirnov test. In case of missing normal distribution, the median including the 25 and 75% quartiles as a measure for variability is being used in descriptive statistics. All categorical data are expressed descriptively using absolute numbers and percentages of patients, when appropriate. For all tests for group differences a two side type I error of p=0.05 or less and confidence interval (CI) 95% is assumed statistically significant. All required tests and programs used in the work are presented in Table 3.

 

Table 3. Methods of statistical processing used in the research

Indications for application of statistical methods

Statistical tests / methods

Programs

Analysis of internal consistency of the test (questionnaire) for the purpose of validation

Cronbach’s alpha

Statistica.10 (Dell software, USA);

SPSS Modeler

Analysis of qualitative variables to identify the distribution of traits in the main and control groups and identify links

Analysis of the Pearson’s χ2 conjugacy tables

Statistica.10 (Dell software, USA)

Revealing the significance of the explored risk factors in the implementation of cervical cancer (qualitative variables)

Logistic regression with calculation of odds ratio

SPSS.v.25 Modeler

Analysis of the ranked quantitative variables in the independent samples (the number of pregnancies, the number of sexual partners, etc.) to identify the differences between the samples

Mann-Whitney test

Statistica.10 (Dell software, USA)

Analysis of the relationship between ranked (ordinal) and quantitative characteristics (correlation analysis)

Spearman’s rankcorrelation

Statistica.10 (Dell software, USA)

Evaluation of diagnostic tools (tests) through the independent expert parameter ("gold standard")

ROC-analysis with the curve construction; Kappa statistics (Cohen’s k)

www.medcalc.be

Epidemiological prognosis and trends of cervical cancer incidence

Linear regression analysis

Excel

 

Anticipated results

Due to the comprehensive nature of the study, anticipated results involve all aspects of the HPV infection in western region of the country. Ascertainment of total HPV prevalence and leading types across the each province, being the priority in this research, is not the only task, though constitutes the main step.

Detection of leading types in women diseased with cervical cancer as well as revealing the most significant risk factors for CC development and age-specific trends of morbidity are expected to give much for future policy making with focus on implementation of compulsory vaccination program in adolescents.

Results of comparison of two cytological methods operating in the region are expected to help in elaboration more rational screening strategy focused on co-testing model (HPV+Pap). Overall, anticipated results are detailed in section Methods (Outcomes).

 

Discussion

In the analysis of the reasons causing CC morbidity growth, detection of the HPV prevalence is a priority. We expect obtaining data on overall prevalence of HPV types significant in terms of carcinogenicity, both from HR-HPV group (Group 1), including vaccine-targeted, and so called possibly/probably carcinogenic ones.

According to the current classification by IARC, researchers have determined 189 or even more different types of Human Papillomavirus, among them 12 are referred to the viruses of undoubtful carcinogenicity in relation to cervical cancer (16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59), or Group 1, whilst the role of types 68 and 73, which might be referred to the same group, still remained controversial (Group 2A) [10]. Types 66 and 82 are being considered at least potential carcinogens (Group 2B). As to the types 26, 53, 67, 70, also often presented in HPV assays, leading researchers as Schiffman et al., consider its role in CC development possible but relatively weak agents, albeit with the caveat that HPV’s continuous evolution is the basic principle of its behaviour [11]. As an acknowledgement of the growing number of evidences of the Human Papillomavirus’ constant evolution, recently Halec et al. provided molecular evidence of clear carcinogenicity for mentioned types, currently classified as probably/possibly carcinogenic [12].

At present CC research focus has moved to India, Latin America and Pacific Asia, where IARC Working Group had been performing large-scale population-based studies on screening technologies, on the basis of which 10 Key recommendations have been developed. One of them is transitioning to HPV tests as a basic screening tool [13]. HPV detection tests were also worldwide recommended by the World Health Organization not only to triage minor cytological abnormalities and follow up women after treatment of high-grade lesions, but as a primary tool [14]. In whole, currently advantage of the HPV-based CC screening is proven convincingly worldwide. There has been shown that screening with HPV testing can reduce the incidence of invasive cervical cancer by 60-70% compared to screening based on Pap tests. Thence, in recent years, the degree of evidence of this type of screening has increased to the level 1A [15]. HPV testing as the main tool is also recommended for less developed countries. A demonstration project with N = 44,110 in India showed that it was possible to implement HPV-oriented screening using the existing primary health care infrastructure [16]. As a result of this conceptual transition, in Australia since 2013 the National Cervical Screening Program’s (NCSP) major changes known as “Renewal”, had been started (the Program last modified 13 March 2017). Broadly, these changes involved a switch to primary testing HPV instead of former cytological domination [17, 18]. Many of countries, such as Poland, currently undertake an attempt to evaluate efficacy of their screening programs and bring them closer to the accepted standards and guidelines in advanced states [19]. As for Kazakhstan, which has previously (in 2013) adopted BD technologies and media such as SurePath, approved by FDA (US Food and Drug Administration), then crossed to “Cell Scan” technology, on which no Health Technology Assessment (HTA) has been published in world periodicals so far.  Besides, our country has not accepted yet the WHO recommendations relating HPV primary testing.    

Absence of the HPV primary testing along with growing CC morbidity convincingly demonstrates backwardness of the existing screening design in our country. Meanwhile, HPV is widely presented even in normal cytology, being early marker of potential cancer process. According to the results of well-known meta-analysis undertaken by Bernard et al., presence only type 16 HPV in normal cytology worldwide as 16% on average and up to 50% [20]. In the aforementioned ICO group Report on Kazakhstan, paragraph on HPV presence in normal cytology still remains empty. Planned in this study detection of HPV types in normal cytology will help us to prove necessary transition to HPV-based scheme, at least in main steps similar to the Netherland’, or in wider sense European screening design, most reasonable under current conditions [21]. 

Such supporting methods in the CC diagnostics like colposcopy are also under the constant evaluation of the researchers [22]. There is a common caveat relatively colposcopy as a diagnostic tool – along with controversial effectiveness (49-84% on average) this method demands long apprenticeship, while VIA (Visual Innspection with Acetic acid) and VILI (Visual Inspection with Lugole Iodine) methods having low cost and high PVN (negative predictive value), would be more appropriate for low-resource or remote settings, except cases of indications to biopsy [23]. For example, recent study in Morocco revealed very high acceptability of the VIA method by female population (94.5%) [24]. Given the population density in Western Kazakhstan is very low (3.4 person per square kilometer), and for many of women living in remote villages timely colposcopic exam is often unavailable, these methods are quite worth to be considered in the context of the cervical screening effectiveness in the country. In frames of the present work we study correlations between viral load and grades of colposcopic changes in order to weigh an opportunity to implement VIA or VILI method in the most remote settings as a pilot study.

To our knowledge, state-scale vaccination of adolescents is the only effective tactics of the CC prevention. Findings of various researchers from the states accepted such an approach convincingly evidenced this as a matter of fact [25-27]. According to the aforementioned source Cancer Today [2], at present 74 countries adopted state-scale CC vaccination programs. Regrettably, successfully started in Kazakhstan in 2013 the same program had then been discontinued without relevant explanations from the Health officials, while the ICO working group informed about 6.82 million women at risk of CC in the country [1]. Evaluation of awareness and perception of vaccination in various groups of female population has never been held in the country, and we hope that such a survey should help us to outline further steps towards proper implementation of primary prevention measures in Kazakhstan.

We anticipate a high feasibility and pithiness of this study: obtaining a wide body of information relatively HPV infection and the quality of a current screening process during a patient’s single visit is the main strength of the research. In fact, we perform something like a pilot Health Technology Assessment in relation the screening methods practiced in the country.

 

Conclusion

Primary task of the ongoing study is identifying virus types circulating in the region along with tension of viral load which eventually determine the CIN progression and deteriorate prognosis for the cervical cancer development. Evaluation of basic diagnostic tools of the cervical screening as well as key risk factors is equal by its significance and appears to be even more relevant. Successful implementation of these challenges can lead to changing a general vector or/and constituent parts of the existing screening program.

 

Limitations

Incomplete data of the viral types due to the test-systems partial incompatibility (Quantum-21 with 21 strains, manufactured in Russia vs. HC-II with more than 40 strains, mostly applied worldwide for HPV detection) is the key limitation of the HPV prevalence data obtained. This consideration should be taken on account when the results interpretation.

 

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional research committee (West Kazakhstan Marat Ospanov State Medical University) and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. The Informed Consent Form was designed according to WHO guidelines and all participants who signed the form were comprehensively informed concerning purposes of this research.

 

Funding

This research has been performing in frames of the scientific Project “Epidemiological analysis of Human Papillomavirus in Western Kazakhstan in relation to HPV-attributable cervical pathology - social, clinical and genetic aspects”, funded by the Committee of Science of the Ministry of Education and Science of the Republic of Kazakhstan (Grant № 2230/GF4, State registration No. 0115РК01224).

 

Conflict of interest

All authors declare that they have no conflict of interest.

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About the Authors: 

Yerbol Z. Bekmukhambetov – MD, PhD, Professor, Rector of the West Kazakhstan Marat Ospanov State Medical University. https://orcid.org/0000-0002-7451-8756.
Ospan A. Mynbaev – MD, Ph.D., ScD, MSc (MedPharm), Moscow Institute of Physics & Technology (State University), Dolgoprudny, Moscow Region, Russia; Adjunct Professor, Division of Molecular Technologies, Institute of Translational Medicine, Russian National Research Medical University named after N.I. Pirogov, Moscow, Russia. https://orcid.org/0000-0002-9309-1938.
Andrea Tinelli – MD, Professor, PhD, Adjunct Professor at the Laboratory of Human Physiology, Phystech BioMed School, Faculty of Biological & Medical Physics, Moscow Institute of Physics and Technology (State University), Dolgoprudny, Moscow Region, Russia; Professor, Department of Obstetrics and Gynecology, Division of Experimental Endoscopic Surgery, Imaging, Technology and Minimally Invasive Therapy, Vito Fazzi Hospital, Lecce, Italy. https://orcid.org/0000-0001-8426-8490.
Saule K. Balmagambetova – MD, PhD, Assistant Professor, Oncology Department, West Kazakhstan Marat Ospanov State Medical University, Aktobe, Kazakhstan. https://orcid.org/0000-0003-4080-5383.
Arip K. Koyshybaev  – MD, PhD, Associate Professor, Head of the Oncology Department, West Kazakhstan Marat Ospanov State Medical University, Aktobe, Kazakhstan.
Olzhas N. Urazayev – MD, PhD, Associate Professor, Oncology Department, West Kazakhstan Marat Ospanov State Medical University, Aktobe, Kazakhstan.
 Elnara K. Ismagulova – MD, PhD, Professor, Head of the ENT Department, West Kazakhstan Marat Ospanov State Medical University, Aktobe, Kazakhstan.
Oxana V. Zavalennaya – MD, Assistant Professor, Head of PCR lab at the University’s Scientific Center, West Kazakhstan Marat Ospanov State Medical University, Aktobe, Kazakhstan.
Svetlana E. Koktova – MD, Specialist in Colposcopy, Diagnostics Department, Aktobe Tertuary Care Center, Aktobe, Kazakhstan.
Klara K. Sarkulova – MD, Head of Cytological lab, Aktobe Regional Pathomorphological Bureau, Aktobe, Kazakhstan.
Zhanna Urazayeva – MD, the Project technician, West Kazakhstan Marat Ospanov State Medical University, Aktobe, Kazakhstan.
Gulmira G. Yerimbetova – MSc, Senior Statistician, Department of Biostatistics, West Kazakhstan Marat Ospanov State Medical University, Aktobe, Kazakhstan.
Zhandos A. Dosakhanov – MD, PhD, Vice-Director of the Mangystau Regional Oncology Center, Aktau, Kazakhstan.
Zhongjie Shi – MD, PhD, Adjunct Professor, Laboratory of Human Physiology, PhysTech BioMed School, Faculty of Biological & Medical Physics, Moscow Institute of Physics & Technology (State University), Dolgoprudny, Moscow Region, Russia; Adjunct Professor, Department of Pediatrics, Children's Hospital of Michigan, Detroit, USA. https://orcid.org/0000-0002-1912-229X.
Lin Ma – MD, MS, Adjunct Professor, Laboratory of Human Physiology, PhysTech BioMed School, Faculty of Biological & Medical Physics, Moscow Institute of Physics & Technology (State University), Dolgoprudny, Moscow Region, Russia; Adjunct Professor, Department of Chemistry, Temple University, Philadelphia, USA. https://orcid.org/0000-0002-5252-6923.
Sergey V. Firichenko – MD, PhD, Associate Professor, Department of Obstetrics and Gynecology, I.A. Yevdokimov Moscow State University of Medicine and Dentistry, Moscow, Russia. https://orcid.org/0000-0001-8342-8317.
Ioannis P. Kosmas – MD, MSc, PhD, Adjunct Professor, Laboratory of Human Physiology, PhysTech BioMed School, Faculty of Biological & Medical Physics, Moscow Institute of Physics & Technology (State University), Dolgoprudny, Moscow Region, Russia;  ObGyn & Reproductive Endocrinology Specialist, Ioannina State General Hospital G. Chatzikosta, Department of Obstetrics & Gynecology, Ioannina, Greece. https://orcid.org/0000-0002-7326-7852.
Kogershin A. Tauekelova – MD, Specialist in Colposcopy in the Uralsk State Out-Patient Clinic №6, Uralsk, Kazakhstan.

Received 17 May 2018, Revised 30 August 2018, Accepted 3 September 2018

© 2018, Bekmukhambetov Y.Z., Mynbaev O.A., Tinelli A., Balmagambetova S.K., Koyshybaev A.K., Urazayev O.N., Ismagulova E.K., Zavalennaya O.V., Koktova S.E., Sarkulova K.K., Urazayeva Z., Yerimbetova G.G., Dosakhanov Z.A., Shi Z., Ma L., Firichenko S.V., Kosmas I.P., Tauekelova K.A.
© 2018, Russian Open Medical Journal

Correspondence to Saule Balmagambetova.  Address: Oncology Department, West Kazakhstan Marat Ospanov State Medical University, 68, Maresyev Street, 030019, Aktobe, Kazakhstan. E-mail: sau3567@gmail.com. Phone: +77132561676. Mob.: +77055794637.

 

Appendix 1

DATABASE ENTERING GUIDELINE

Note: database is filled in Excel; information should be identical to Individual Registration Form.

Code definition: 1/1/1

First figure – index of researcher.

Second figure – Province’s code: 1 – Аktobe; 2 – Аktau; 3 – Аtyrau; 4 – Uralsk.

Third figure – index of subject.

 

1а/1/1

«а» means that the smear has been taken from a person with suspected cancer, before the histological conclusion.

 

VAR 1 – Age (categorical variable):

  • 1 – 18-29
  • 2 – 30-39
  • 3 – 40-49
  • 4 – 50-60+

VAR 1* – Age in years (nominal variable):

VAR 2 – Ethnicity:

  • 1 – Asians (Turks – Kazakhs, Bashkirs and etc)
  • 2 – Europeans (Russians, Ukrainians, Germans and etc.)
  • 3 – Caucasian ethnicities (mostly Azerbajanians)

VAR 3 – Education:

  • 1 – high school
  • 2 – professional college
  • 3 – higher education

VAR 4 – Occupation:

  • 1 – unemployed, housewife, retired
  • 2 – low-skilled job (technical, stallman, seller, including small markets, etc.)
  • 3 – medium level (an ordinary manager, seller-consultant, cashier), nurses, etc.
  • 4 – high-skilled job - physician, teacher, lawyer, bank manager, civil official, manager, representatives of creative professions, the owners of medium-sized businesses

VAR 5 – Family monthly income:

  • 1 – 100$* per capita (below the minimum subsistence level and poverty threshold) up to 250$ per capita (relatively poor category)
  • 2 – 250 till 500$ (relatively prosperous category)
  • 3 – ≥500$ – relatively wealthy category

*Note: Currency exchange as of November 2014.

VAR 6 – Smoking:

  • 0 – no
  • 1 – yes (regardless lasting and number of cigarettes smoked)

VAR BCP – Oral contraceptives:

  • 0 – no
  • 1 – yes

VAR 7 – Duration of sexual life, regardless duration of marriage (categorical variable):

  • 1 – from 0 up to 10 years
  • 2 – 11-20 years
  • 3 – ³20 years

VAR 7* – Age of sexual debut (nominal variable):

VAR 7** – Total duration of sexual life (nominal variable):

VAR 8 – Number of sexual partners during lifetime, irrespective of the intercourses duration (categorical variable):

  • 1 – 1
  • 2 – 2-5
  • 3 – 6-10+

VAR 8* - Number of sexual partners during lifetime, irrespective of the intercourses duration (nominal variable):

VAR 9 – State medical institutions attendance:

  • 1 – constantly
  • 2 – sometimes
  • 3 – never, only private or insurance clinics

VAR 10 – Participation in State Screening Programs:

  • 1 – full participation (cervical cancer)
  • 2 – partial participation (sometimes)
  • 3 – complete nonparticipation

VAR 11 – CC vaccination awareness and perception:

  • 1 – knows nothing about vaccination
  • 2 – heard about the vaccine, but does not know how to evaluate information
  • 3 – would like to be vaccinated against cervical cancer (welcomes)
  • 4 – strongly opposed to vaccination (considers harmful)

VAR 12 – Hereditary factor:

  • 0 – absence of close relatives with CC
  • 1 – presence of close relatives with CC

VAR 13 – total number of pregnancies (categorical variable):

  • 1 – 0 (absence)
  • 2 – 1-2
  • 3 – 3+

VAR 13* – total number of pregnancies, nominal variable, 0+:

VAR 14 – LBC (CellScan transportation medium and technology):

  • 0 – B (unsatisfactory for evaluation, no material)
  • 1 – АС (normal squamous cells)
  • 2 – D (pathological microflora)
  • 3 – E (squamous metaplasia, reserve cells hyperplasia)
  • 4 – F1 (ASC-US) – Atypical squamous cells of undetermined significance, cannot exclude (ASC-H)
  • 5 – F2 (LSIL, CIN-I)
  • 6 – F3 (HSIL, including CIN-II, CIN-III, TIS – cancer in situ)
  • 7 – F4 (Squamous cancer)
  • 8 – G1 (benign glandular cells in women over 40 years)
  • 9 – G2 (AGC) – Atypical glandular cells of undetermined significance, atypical glandular cells not otherwise specified (AGC-NOS)
  • 10 – G3 Adenocarcinoma in situ
  • 11 – G4 Adenocarcinoma

VAR 15 – Conventional cytology (Romanovsky-Giemsa):

  • 0 – Unsatisfactory for evaluation, no material
  • 1 – Normal squamous cells
  • 2 – Inflammation, signs of infection
  • 3 – Benign squamous metaplasia, reserve cells hyperplasia
  • 4 – Squamous metaplasia with mild atypia, proliferation of the glandular epithelium with mild atypia, dyskaryosis
  • 5 – Mild dysplasia (detection of atypical changes, CIN-I), koilocytosis
  • 6 – Moderate or severe dysplasia (CIN-II, CIN-III or Ca in situ – ТIS)
  • 7 – Cancer (squamous)
  • 8 – Benign proliferation of glandular cells in women over 40 years
  • 9 – Noticeable proliferation of atypical glandular cells, AGC-NOS
  • 10 – Adenocarcinoma in situ
  • 11 – Adenocarcinoma.

VAR 15* – Histological conclusions:

  • 1 – Normal squamous cells
  • 2 – Inflammation, signs of infection, including chronic cervicitis
  • 3 – Benign squamous metaplasia, reserve cells hyperplasia
  • 4 – Squamous metaplasia with mild atypia, proliferation of the glandular epithelium with mild atypia, dyskaryosis
  • 5 – Mild dysplasia (detection of atypical changes, CIN-I), koilocytosis
  • 6 – Moderate or severe dysplasia (CIN-II, CIN-III or Ca in situ – ТIS)
  • 7 – Cancer (squamous)
  • 8 – Benign proliferation of glandular cells in women over 40 years
  • 9 – Noticeable proliferation of atypical glandular cells (AGC-NOS)
  • 10 – Adenocarcinoma in situ
  • 11 – Adenocarcinoma

Note: located in Database Cervical Cancer, 2 sheet.

 

VAR 19 – Data of colposcopic exam (categorical variable, by Coppleson-Pixley scale):

1 – usual transformation zone, weak suspicion for HPV:

Columnar ectopy, squamous metaplasia, open ducts of glands, closed ducts of glands (Nabothian cysts), typical vessels (hypervascularization permitted under normal form of vessels), borders of transformation zone are not clearly defined, absence of punctation, mosaics, leucoplakia or other atypical lesions;

2 – HPV infection?

typical symptoms of flat genital warts, pearl acetowhite epithelium, clear boundary of lesion area, gentle mosaics and/or punctation, normal vessels;

3 – Low atypical transformation zone:

relatively large affected area with clear or unclear contours, questionable vessels,  presence of mild expressed foci of leukoplakia, a lot of open ducts of glands with hyperkeratosis, presence of relatively delicate mosaics and/or punctation, intensive acetic acid test, intensive Shiller (Iodine) test;

4 – Highly atypical transformation zone:

clear boundary of acetowhite epithelium regardless the volume of the affected area, intensive acetowhite epithelium, leukoplakia, mosaic and/or punctation are rough, there is tuberosity or ulceration, mild or severe induced bleeding of transformation zone, hypertrophic atypical vessels in the form of a corkscrew, a comma, or shapeless, in the form of logs.

 

VAR 19* – points of Reid Colposcopic Index from 1 up to 8, nominal variable.

Note: variable 19 is absent in Cervical cancer database.

 

VAR 6*, 11* till 82 – types detected:

  • 0 – not detected
  • 1 – <103 copies DNA HPV (Genomic equivalents) / per 105 cells (per sample) – of grey color
  • 2 – 103 - 105 copies DNA HPV (Genomic equivalents) / per 105 cells (per sample) – of green color
  • 3 – >105 copies DNA HPV (Genomic equivalents) / per 105 cells (per sample) – of red color

 

VAR Sum – total sum of viral load per sample (continuous variable).

 

VAR St – Stage of cervical cancer process by FIGO-TNM, 2009, 7th revision (categorical variable), only for Cervical cancer database:

  • 1 – TIS
  • 2 – St Ia
  • 3 – St Ib
  • 4 – St IIa
  • 5 – St IIb
  • 6 – St IIIa
  • 7 – St IIIb
DOI: 
10.15275/rusomj.2018.0408