Details

Autor(en) / Beteiligte

• Alışkan, Hikmet Eda
• Öğüç Şanlı, Özlem
• Aka Bolat, Filiz
• Alkaş Yağınç, Didem
• Toprak, Uğur

Titel

Determination of Human Papilloma Virus (HPV) Genotype Prevalance and Distrubution in Adana: A Hospital-Based Study Between 2014-2021

Ist Teil von

• Mikrobiyoloji bülteni, 2023-01, Vol.57 (1), p.119-133

Ort / Verlag

Turkey

Erscheinungsjahr

2023

Link zum Volltext

Quelle

MEDLINE

Beschreibungen/Notizen

• Cervical cancer is the fourth most common cancer among women all over the world. It is accepted that cervical cancer is highly related to the HPV. The International Agency for Research on Cancer (IARC) has classified 13 HPV types as group 1 carcinogens (HPV 16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59, and 66), which are commonly referred to as high risk-HPVs (hr-HPVs). Among these, hr-HPV-16 is undoubtedly the most carcinogenic based in the burden of cervical cancer (CC) and its precursor lesions. In our study, we analyzed retrospectively the data of a total of 2329 female patients who applied to the obstetrics and gynecology outpatient clinic of our hospital over a seven-year-period, whose cervical smear were carried out by the polymerase chain reaction (PCR) and cytology. In this study, it was aimed to determine the data of of HPV prevalence in our region during the seven-year-period from April 2014 to April 2021 and the most common genotypes and to interpret them together with the cervical smears cytology and biopsy results if it is available. HPV 3, 6, 11, 16, 18, 21, 26, 31, 33, 35, 39, 40, 42, 45, 51, 52, 53, 54, 55, 56, 58, 59, 61, 62, 66, 67, 68, 70, 72, 73, 81, 82, 83, 84 were identified by using linear array HPV genotyping test (Roche Diagnostics, Switzerland) from April 2014 to October 2017. HPV genotypes were identified by using HPV Genotypes 14 Real-TM Quant (Qiagen, Germany) between October 2017 and April 2021. This method detected HPV genotypes 16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59, 66, 68. The data were analyzed using IBM SPSS Statistics (Version 25.0) predictive analytics software. Continuous variables are indicated as mean ± standard deviation, and discrete variables are indicated as number [percentage (%)]. Chi-square test is used to investigate dependencies between variables. All analyzes were evaluated to provide 95% confidence level and 80% test power. p<0.05 was accepted as significant for the analysis results. Out of 2329 patients, 1283 were found to be HPV negative (54.6%) and the others were found to be HPV positive (45.4%) by using real-time PCR in the cervical smears. It was detected that out of 1046 HPV positive patients, 585 of them (55.9%) had one HPV genotype and 461 of them (44.1%) had more than one HPV genotypes. As we divided all of the patients into two groups as <30 (Group I) ve > 30 (Group II) according to age range, HPV positivity was found 134/296 (45.2%) in Group I and 912/2033 (44.8%) in Group II. When we compared the HPV positive/negative results of Groups I and II by using chi-square test, no significant difference was found between the two age groups in terms of HPV positivity (p= 0.894). In our study, the most common HPV types were HPV 16 (14.2%), HPV 68 (8.2%), HPV 56 (8.2%), HPV 52 (7.1%), HPV 51 (6.8%), HPV 31 (6.5%), HPV 66(6.1%), HPV 39 (5.8%) and HPV 18 (5.6%) among the women with normal and abnormal cytology in the cervical smears. ASC-US was the most common abnormal epithelial cell change detected with HPV16 and 18 genotypes and it was detected 26.07% and 21.88% in patients, respectively. In our study, we found HPV prevalance in our region as 45.4% and the most common type was HPV 16. As a result, we concluded that it is important to determine regional HPV prevalance data, which is an important step in cervical cancer prevention strategies, and regional data of detected HPV genotypes.