Literature DB >> 36199838

Predominant HPV Types From Cervical Swabs Determined by Molecular DNA Testing in a Period From 2018-2021 in Bosnia and Herzegovina.

Nejla Muhovic-Pasic1, Mirela Kahvic1, Selma Karup1, Dino Pecar1, Enis Kandic1, Lana Salihefendic1, Rijad Konjhodzic1.   

Abstract

Background: Human papillomavirus is a sexually transmitted infection and it is estimated that 75% of all women have been exposed to HPV infection in a certain period of life. High-risk types of HPV are considered to be one of the major causes of cervical cancer and its precursor intraepithelial neoplasia. Objective: The aim of this study was to investigate the degree of HPV infections and to provide more data on HPV genotype distribution among women in Bosnia and Herzegovina (B&H).
Methods: Number of 375 samples were collected from different polyclinics in Sarajevo and were analyzed by Alea Genetic Center using Genomed f-HPV typing™ multiplex Fluorescent PCR kit for human papillomavirus genotyping. DNA required for this method is extracted from cervical swabs and amplified using a multiplex PCR reaction containing a set of 16 fluorescently labeled primers that recognize 16 HPV types. 14 HPV types are classified as high-risk (16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59, 66, 68) and two are low-risk (6 and 11) HPV types.
Results: Results showed that in the years 2018, 2019, and 2021, HPV type 16 is predominant causing the high-risk factor for CIN1, CIN2, CIN3, and cervical cancer development. HPV 18 infection rates decreased during the last four years of study. HPV 6 infection rates increased during that period of time.
Conclusion: HPV 16 and HPV 18 are almost completely preventable by vaccination implying that the number of diagnosed cervical cancers in B&H could be much lower in the next decades if the HPV vaccination routine immunization program starts soon.
© 2022 Nejla Muhovic - Pasic, Mirela Kahvic, Selma Karup, Dino Pecar, Enis Kandic, Lana Salihefendic, Rijad Konjhodzic.

Entities:  

Keywords:  HPV; Real-time PCR; cervical cancer; fragmental analysis

Year:  2022        PMID: 36199838      PMCID: PMC9478526          DOI: 10.5455/msm.2022.34.88-91

Source DB:  PubMed          Journal:  Mater Sociomed        ISSN: 1512-7680


BACKGROUND

The principal cause of cervical cancer and its precursor cervical intraepithelial neoplasia (CIN) is infection with human papillomavirus (HPV) (1, 2). HPV is a nonenveloped double-stranded DNA virus that has an 8 Kb long genome. Considering the malignant progression they can cause, a virus is classified into two groups: high risk and low risk. There are approximately 200 different types of HPV described in the literature (3). High risk HPV types analyzed in this study include: HPV-16, HPV-18, HPV-31, HPV-33, HPV35, HPV-39, HPV-45, HPV-51, HPV-52, HPV-56, HPV-58, HPV-59, HPV-66, HPV-68 and low risk types: HPV-6, HPV-11. Types 16 and 18 are considered the most common causes of cervical neoplastic transformation (4). Even though persistent HPV infection is highly associated with cervical neoplasia, many infections do not develop into cancer. HPV is a sexually transmitted infection and it is estimated that 75% of all women have been exposed to HPV infection in a certain period of life. In developed countries, Pap tests are introduced in regular clinical screening for cervical cancer which drastically reduced the death rate of this type of cancer (5). Women with persistent HPV-16 infection for one or two years are prone to get CIN3 or CIN3+ (6). Pap test requires interpretation of results by cytopathologists and this test is prone to error or false-positive results (7). Molecular screening and genotyping of the HPV virus is a highly reliable method in clinical diagnosis. Molecular genotyping can determine multiple HPV infections as well as monitor individual 2 HPV infections during a period of time. It is very important to determine if an infection is a low or high risk because of prognostic and patient follow-up in order to decrease the risk of the disease. High-risk HPV infection is a risk factor for precancer and cancer development. To predict high-risk HPV progression, a methylation test should be done. The methylation test determines whether an infection is actively transforming cervical cells into cancerdetecting is the promoter of the tumor suppressor genes FAM19A4 and/ or miR124-2 hypermethylated. Hypermethylation of these genes indicates a presence of advanced transforming CIN and a high-term risk of developing cervical cancer.

OBJECTIVE

The aim of the study were (1) to investigate the prevalence and incidence of HPV infections among B&H women during a period from 2018 to 2021; and (2) to provide more data on HPV genotype distribution

MATERIAL AND METHODS

The number of 375 clinical samples were collected from the year 2018-2021 and were retrospectively analyzed. DNA was extracted using QIAamp® DNA Mini Kit from cervical samples collected in dry swabs. Extracted DNA was amplified using a multiplex PCR reaction with a set of 16 fluorescently labeled primers that recognize 16 HPV types, from which 14 are high risk (16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59, 66, 68) and two low risks (6 and 11) HPV types, using Genomed F-HPV typing™ multiplex Fluorescent PCR kit for human papillomavirus genotyping. PCR program was set up according to the Genomed F-HPV typing™ multiplex Fluorescent PCR kit manual. PCR mix is prepared before PCR amplification by mixing 5 µl F-HPV PCR Master Mix, 15 µl Primers Mix, and 5 µl of extracted DNA is added separately. Hot start polymerase is included in the kit for higher specificity which is inactive at room 3 temperature. F-HPV typing™ is a rapid, specific, and sensitive method for HPV genotyping. The F-HPV typing™ kit generates amplicons between 156 and 489 bp which are efficiently separated by capillary electrophoresis (CE). For fragmental and software analysis, ABI PRISM 310 Genetic Analyzer and Applied Biosystems Seq Studio Genetic Analyzer were used. Each HPV type is identified by the size and color of corresponding amplicons. Size and color of detected electropherogram peaks were as in the Genomed FHPV typing™ multiplex Fluorescent PCR kit manual.

RESULTS

In this study, 375 cervical swab samples from the female population of Bosnia and Herzegovina were analyzed in the period from 2018 to 2021. Human polymorphic sequence (STR) was used as an internal control to check the integrity of reaction and samples mishandling. Internal control (D18S386) can generate one peak (homozygous) or two peaks (heterozygous) of different sizes. In cases with high viral load, internal control can fail to amplify because of PCR reagents competition. In this case, we reduce template DNA input and repeat PCR reaction. For data analysis, GeneMapper software was used. In case of an invalid result caused by PCR inhibition, the whole procedure was repeated until an internal control peak is present. Data used for this study is obtained from the data of Alea Genetic Center in four years and was retrospectively analyzed. Based on that information, clinical findings of HPV progression to CIN or cervical neoplasia are unfortunately unavailable.

DISCUSSION

In the years 2018, 2019, and 2021, HPV type 16 is a predominant type which is a high-risk factor for CIN1, CIN2, CIN3, and cervical cancer. 50% of cervical cancers and CIN1, CIN2, CIN3 are caused by HPV type 16 (8). Different epidemiologic studies have demonstrated that HPV 16 and 18 are considered strong carcinogens and that they progress to cervical cancer faster compared to other HPV types (9, 10). The main advantages of capillary electrophoresis over an RT-PCR technique are multiplexing, internal control per sample, and detection of multiple HPV infections. Capillary electrophoresis combined with PCR containing type-specific primers provides accurate genotyping of different HPV loci seen in HPV cancer cases. Once (multiple) HPV infection is diagnosed it helps to redesign screening programs and improve their quality, which is necessary for eliminating cancer as a life-threatening disease. Internal control that was used for CE HPV genotyping consisted of human STR primer set of target cDNA template for each primer set and it provided the assurance that clinical specimens are successfully amplified, detected, and were not cross-contaminated. This type of control is far superior over a single control sample per batch (Figure 1).
Figure 1.

Internal control is present on the electropherogram, which confirms the accuracy of the procedure. An analysis of the results showed the presence of multiple HPV infections. Detected HPV types 16, 31, 39, and 56 belong to high-risk virus types.

At Figure 1 internal control is present on the electropherogram, which confirms the accuracy of the procedure. An analysis of the results showed the presence of multiple HPV infections. Detected HPV types 16, 31, 39, and 56 belong to high-risk virus types. During the last decade, many studies implied a strong correlation between HPV infection and the spectrum of diseases and cancers including head and neck cancers, cervical cancers, and several skin and oral diseases. The two most common HPV infections are 16 and 18, which are the main types directly linked to carcinogenesis, promoting chromosomal anomalies and cellular immortalization (11). In this study, we saw the growing incidence of HPV 16 infection during 2018-2021 among tested patients from Bosnia and Herzegovina, while HPV 18 infection rates decreased during the last 4 years of study. It is estimated that in B&H yearly, 556 women are diagnosed with cervical cancer out of which 141 patients die. In this case, it is important to note that HPV 16 and HPV 18 are almost completely preventable by vaccination (12) implying that the number of diagnosed cervical cancers in Bosnia and Herzegovina could be much lower in the next decades if the HPV vaccination routine immunization program starts soon (13). Besides factors -16 and -18 other HPV types including -45, -31, -33, -52, -58, and -35, are shown to be responsible for approximately 90% of all cervical cancers worldwide. While other HPV genotypes did not show that strong correlation with cervical cancer. Types -6 and -11 are low-risk factors causing malignant lesions (anogenital warts and recurrent respiratory papillomatosis) that are most commonly sexually transmitted (14). Among 6 tested patients from Bosnia and Herzegovina, these two factors showed a slightly growing incidence during the last two years. Also, multiple HPV infections were higher in 2020-2021 than in 2018-2019.

CONCLUSION

Future studies of HPV infections among the Bosnia and Herzegovina population should include histopathological examination of HPV infection that progressed to CIN or cervical neoplasia to establish a correlation between HPV genotypes and different types of tumor. Also, once high-risk HPV infection is detected, furthermore methylation test should be considered since it helps to reduce unnecessary medical treatments and save time and money for diagnostics. Age, high parity, use of hormonal contraceptives, tobacco smoking, and eating habits should be considered as well since they are susceptible cofactors of HPV progression.
Table 1.

Number of each HPV types per year

Type2018.2019.2020.2021.
333620
597222
188521
563623
314851
395430
352213
519612
680320
16111886
452000
581622
66895
526932
111302
666832
HPV negative samples36945324
HPV positive samples43693422
Multiple HPV infection202097
Total number of samples791638746
Table 2.

Percentage of each HPV type per year

HPV type2018.2019.2020.2021.
333,79%3,68%2.29%0%
598,86%1,22%2.29%4,34%
1810,12%3,06%2.29%2,12%
563,79%3,68%2.29%6,52%
315.06%4,90%5.74%2,12%
396,32%2,45%3.44%0%
352,53%1,22%1%6,52%
5111,39%3,68%1%4,34%
680%1,84%2.29%0%
1613,92%11,04%9.19%13.04%
452,53%0%0%0%
581,26%3,68%2.29%4,34%
67,59%4,90%10.34%10,86%
527,59%5,52%3.44%4,34%
111,26%1,84%04,34%
667,59%4,9%3,44%4,34%
HPV negative samples45,56%57,66%60.91%52,17%
HPV positive samples54,43%42,33%39.08%47,82%
Multiple HPV infection25,31%12,26%26,47%31,81%
Total number of detected HPV types20203422
Total number of samples791638746
Table 3.

Predominant HPV types with percentage per each year

Predominant HPV types2018.2019.2020.2021.
1.16 (13,92%)16 (11,04%)6 (10.34%)16 (13.04%)
2.51 (11,39%)52 (5,52%)16 (9.19%)6 (10,86%)
3.18 (10,12%)31,6,66 (4,90%)31 (5.74%)35,56 (6,52%)
  13 in total

1.  American Cancer Society, American Society for Colposcopy and Cervical Pathology, and American Society for Clinical Pathology screening guidelines for the prevention and early detection of cervical cancer.

Authors:  Debbie Saslow; Diane Solomon; Herschel W Lawson; Maureen Killackey; Shalini L Kulasingam; Joanna Cain; Francisco A R Garcia; Ann T Moriarty; Alan G Waxman; David C Wilbur; Nicolas Wentzensen; Levi S Downs; Mark Spitzer; Anna-Barbara Moscicki; Eduardo L Franco; Mark H Stoler; Mark Schiffman; Philip E Castle; Evan R Myers
Journal:  CA Cancer J Clin       Date:  2012-03-14       Impact factor: 508.702

2.  The age-specific relationships of abnormal cytology and human papillomavirus DNA results to the risk of cervical precancer and cancer.

Authors:  Philip E Castle; Barbara Fetterman; J Thomas Cox; Ruth Shaber; Nancy Poitras; Thomas Lorey; Walter Kinney
Journal:  Obstet Gynecol       Date:  2010-07       Impact factor: 7.661

Review 3.  Chapter 4: Burden and management of non-cancerous HPV-related conditions: HPV-6/11 disease.

Authors:  Charles J N Lacey; Catherine M Lowndes; Keerti V Shah
Journal:  Vaccine       Date:  2006-08-31       Impact factor: 3.641

4.  Cancer statistics, 2012.

Authors:  Rebecca Siegel; Deepa Naishadham; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2012-01-04       Impact factor: 508.702

5.  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

6.  Epidemiologic classification of human papillomavirus types associated with cervical cancer.

Authors:  Nubia Muñoz; F Xavier Bosch; Silvia de Sanjosé; Rolando Herrero; Xavier Castellsagué; Keerti V Shah; Peter J F Snijders; Chris J L M Meijer
Journal:  N Engl J Med       Date:  2003-02-06       Impact factor: 91.245

7.  Rapid clearance of human papillomavirus and implications for clinical focus on persistent infections.

Authors:  Ana Cecilia Rodríguez; Mark Schiffman; Rolando Herrero; Sholom Wacholder; Allan Hildesheim; Philip E Castle; Diane Solomon; Robert Burk
Journal:  J Natl Cancer Inst       Date:  2008-03-25       Impact factor: 13.506

8.  Natural history of cervical neoplasia and risk of invasive cancer in women with cervical intraepithelial neoplasia 3: a retrospective cohort study.

Authors:  Margaret R E McCredie; Katrina J Sharples; Charlotte Paul; Judith Baranyai; Gabriele Medley; Ronald W Jones; David C G Skegg
Journal:  Lancet Oncol       Date:  2008-04-11       Impact factor: 41.316

9.  Type-dependent integration frequency of human papillomavirus genomes in cervical lesions.

Authors:  Svetlana Vinokurova; Nicolas Wentzensen; Irene Kraus; Ruediger Klaes; Corina Driesch; Peter Melsheimer; Fjodor Kisseljov; Mattias Dürst; Achim Schneider; Magnus von Knebel Doeberitz
Journal:  Cancer Res       Date:  2008-01-01       Impact factor: 12.701

Review 10.  Molecular mechanisms of human papillomavirus-induced carcinogenesis.

Authors:  Michaël Lehoux; Claudia M D'Abramo; Jacques Archambault
Journal:  Public Health Genomics       Date:  2009-08-11       Impact factor: 2.000

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