| Background Human papillomaviruses (HPVs) are DNA viruses with a genomesize of about 8000 base-pairs. There are more than 100 HPV types defined on thebasis of DNA homology, of which more than 40 infect the anogenital tract[2].Genital HPV types are typically divided into two groups according to theirpresumed oncogenic potential. HPV types 16, 18, 31, 33, 35, 39, 45, 51, 52, 56,58,59 and 68 are considered to be of high oncogenic risk. The remaining genitaltypes - types 6, 11, 42, 43 and44 - are considered of low or no oncogenic risk.Subclinical and clinical genital warts, also known as condylomata acuminata, andvirtually all squamous cell cancers of the anogenital tract are caused by specificHPV types. More than 20 types of human papillomavirus, especially HPV type16 and 18, have been associated with cervical cancer, the second cause of cancerrelated mortality in women globally. The advent of molecular biology tools inHPV diagnosis has allowed us to identify HPV infection, differentiate HPV types,and discriminate groups of the population with different risks of infection.Objective1. To obtain the epidemiological data of Human papillomaviruses infectionamong women with different ages and gynecologic disease.2. To obtain the structure of the E6,E7 oncogene the and the major capsidprotein L1 gene of human papillomavirus type 16 for the exploring of the clinicalanalysis and treatment of HPV infection.Methods 1. Specimens(normal group and abnormal group) from women who wanted todo HPV detection were detected with the assay of reverse dot blot. The data wasanalyzed with the statistical software SPSS 13.0.2. E6,E7 and L1 gene were amplified from human cervical carcinoma byPCR.The products of PCR were ligated into pMD18-T Vector and used totransform E.coli DH5α. At last, the sequence of the insert was determined by anautomated DNA sequencer.Results1. For the normal group,20.2%(101/500) specimens were detected positive forHPV infection. 1512 women were included in the abnormal group and 523(34.6%)specimens were detected positive for HPV DNA, including 407(77.8%) one-typeinfection, 82(15.7%) diplex infection and 34(6.5%) multiple infection. Of 523positive specimen, 340(65.0%) were high-risk HPV infection, including155(45.6%) HPV 16 type. The difference between the HPV infection of normalgroup and abnormal group was significant(X~2=36.37, P＜0.01). And there wassignificant difference of HPV infection among women with different ages, sexualhistory, gynecologic diseases and the ages of first sex behavior.2. Compared with the European-Germany131, 20 mutations were detected, ofwhich 8 mutations were detected from all the 4 biopsies: 131(G-A)(Gly-Arg),178(T -G) (Asp-Glu), 350(G-T)(Val-Leu), 647(a-G)(Asn-asp),846(T-C)(synonymous mutation), L1 966th (C-T) (synonymous mutation), L11302nd(C-T) (synonymous mutation) and L1 1434th(A-G) (synonymousmutation).Conclusions1. In the screening of HPV infection, we can select the high-risk population soas to decrease the cost of screening.2. Amang the 23 HPV types, HPV16 type was the most prevalent, whichsuggested that HPV 16 type played an important role in the progression ofcervical diseases and we should pay a lot attention to the research of the virus.3. Compared with other HPV16 reference sequence, nucleotide sequencinganalysis of the HPV16 E6, E7 and L1 gene from Cervical Carcinoma Biopsis in Chengdu city and Chongqing of China consistently shows point mutations,including synonymous mutation and nonsynonymous mutation. This researchwill be helpful in preventing cervical cancer and designing vaccines which isspecific for the women in the two regions of China.
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