Analysis of gene variation of human papillomavirus type 16 E6 and E7 in patients with cervical lesions in Jilin Province
Objective To evaluate the relationship between human papillomavirus 16(HPV16)type gene variation and the risk of cervical precancerous lesions and cervical cancer in Jilin Province by investigating the E6 and E7 gene mutations of HPV16 in Julin Province.Methods Cervical exfoliated cells were collected from 129 patients with cervical cancer and precancerous lesions infected with HPV16,DNA was extracted from the cells,and E6-E7 gene sequence was amplified by polymerase chain reaction(PCR)with specific primers,then the E6-E7 gene sequence was compared with the standard HPV16 gene sequence to find the mutation sites of E6-E7 gene.Results A total of 8 mutation sites were found in E6,including 6 missense mutation sites and 2 nonsense mutation sites.The mutation sites with higher mutation incidence were T178G(59/129,45.74％),A131C(10/129,7.75％),T350G(6/129,4.65％),and T178A(6/129,4.65％).A total of 11 gene mutation sites were found in E7,including 6 missense mutation sites and 5 nonsense mutation sites.The mutation sites with higher mutation incidence were A647G(57/129,44.19％),T846C(55/129,42.64％),G666A(34/129,26.36％),and T843C(20/129,15.50％).There was no statiscally significant difference in the distribution of common mutation sites of E6 and E7 between cervical cancer group and precancerous lesion group.Only Asian variants and European variants were found in this study.Statistical analysis showed that there was statiscally significant difference in the distribution of HPV16 prototype,As and Eur in cervical cancer and precancerous lesions in Jilin Province(P=0.02),with the Asian variant being the main type.Conclusion In this study,only As and Eur variants of HPV16 are found in Jilin Province,with As variants being the main type.The common variation sites of HPV16 E6 and E7 in Jilin Province are not associated with the progression of cervical lesions.
human papillomavirusgene mutationE6 geneE7 genecervical cancer
万方数据
维普
