Trend of @entity1082 genotypes in cervical XXXX observed in a newly developing township in yangon, myanmar.

@entity1 @entity5 @entity957 @entity281 @entity1799 @entity1082 @entity3146
@entity281 with oncogenic types of @entity1082 ) is the most important risk factor associated with @entity5 . This study detected the oncogenic HPV genotypes in cervical @entity5 in relation to clinicopathological findings using a cross-sectional descriptive method in 2011 and 2012. Cervical swabs and colposcopy-directed cervical biopsy tissues were collected from 108 @entity1 (median age 45 years;range 20-78) showing cervical cytological changes at Sanpya General Hospital, Yangon, Myanmar. HPV DNA testing and genotyping were performed by polymerase chain reaction and restriction fragment length polymorphism. HPV was identified in @entity1 with @entity3146 ( @entity3146 ) 1 (44.4%), CIN2 (63.2%), CIN3 (70.6%), and @entity957 ( @entity957 ) (74.1%). The association between cervical @entity5 and HPV positivity was highly significant (p   0.008). Most @entity1 infected with HPV were between 40-49 years of age, and the youngest were in the 20- to 29-year-old age group. The most common genotype was @entity1799 (65.6%) with the following distribution:70% in CIN1, 41.7% in CIN2, 91.7% in CIN3, and 60% in @entity957 . HPV-31 was the second-most frequent (21.9%):30% in CIN1, 33.3% in CIN2, 8.3% in CIN3, and 15% in @entity957 . The third-most frequent-genotype was HPV-18 (7.8%):8.3% in CIN1, and 20% in @entity957 . Another genotype was HPV-58 (4.7%):16.7% in CIN1 and 5% in @entity957 . The majority of @entity3146 / @entity957 cases were associated with HPV genotypes 16, 31, 18, and 58. If oncogenic HPV genotypes are positive, the possibility of cervical @entity5 can be predicted. Knowledge of the HPV genotypes distribution can predict the effectiveness of the currently used HPV vaccine.
