Comparing the distribution of common human papillomavirus genotypes among the population of Fars province in southwest Iran with the genotypes included in the available HPV vaccines
Year: 2024
Type: article
Study design: Observational Study
Abstract: Background Given the strong association between high-risk HPV genotypes such as 16 and 18 and cervical cancer, this study aimed to compare the distribution of common HPV genotypes among the southwest Iranian population with vaccine-included genotypes. Methods Based on the sample quality, DNAs were extracted from the biological samples of 8036 individuals who were included in the study with three different methods (automated instrument, column, and precipitation), and 21 different HPV genotypes were detected using Real-time PCR. Results The majority of participants were women (> 99%) with a positive rate of 29.9% in which the high-risk genotypes were dominant (84.9%). The highest rate of HPV infections was observed in the age ≤ 30 years (35.9%). HPV 6 and 16 were the most frequent low- and high-risk genotypes, respectively. Multi HPV infections were observed in 35% of positive samples and the highest cross infections were observed between HPV6 and 16. Co-infection with HPV 16 and 18 was observed in 21 (1%) positive samples. It seems that vaccination is required to decrease the outcome of HPV infections such as cervical cancer. However, other frequent high-risk genotypes were not included in the 9-valent vaccine. Conclusion Since the association between cervical cancer and other high-risk HPV types rather than 16 and 18 has been less studied, investigating their pathogenicity in cervical cancer is recommended. Furthermore, the new generation of HPV vaccine should contain the other frequent high-risk genotypes rather than those included in the approved vaccines.
Source: Molecular Biology Reports
Authors: Mahtab Kalani, Fatemeh Mirzaei, Haniyeh Keyghobadi, Gholamhossein Keighobadi, Atefeh Raoofat, Mehdi Kalani, Ali Moravej
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W4403603045