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宫颈癌瘤组织中HPV感染基因型分布的比较研究 被引量:7

Comparative study of HPV infective genotypes distribution in tissues of cervical cancers and cervical intraepithelial neoplasias
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摘要 目的比较宫颈上皮内瘤变和宫颈癌组织标本中人乳头瘤病毒(HPV)感染的基因型分布情况及其临床意义。方法采用基因扩增结合基因芯片技术对192例宫颈上皮内瘤变和85例宫颈癌组织标本进行23种HPV基因分型检测,并对受检者进行相关资料分析。结果 192例宫颈上皮内瘤变HPV总阳性率为82.29%(158/192),一重感染阳性率为46.88%(90/192),多重感染阳性率为35.42%(68/192);85例宫颈癌HPV总阳性率为88.24%(75/85),一重感染阳性率为65.88%(56/85),多重感染阳性率为22.35%(19/85)。结论基因扩增结合基因芯片检测技术可应用于宫颈病变的组织标本,一次可检测23种HPV基因型别,特异性强,敏感性高,对宫颈癌和癌前病变的防治及其疫苗的研究具有十分重要的意义。 Objective To compare the genotypes distribution of human papillomavirus (HPV ) infection in tissues of cervical cancers and cervical intraepithelial neoplasias (CIN ) and its clinical significance .Methods The polymerase chain reaction (PCR) and the gene-chips technique were utilized for the detection of 23 kinds of HPV genotypes in the tissue specimens from 192 cases of cervical intraepithelial neoplasia (CIN) and 85 cases of cervical cancers .And the related data of all subjects were analyzed .Results In 192 cases of CIN ,the total positive rate of HPV was 82 .29% (158/192) ,the positive rate of single genotype infection was 46 .88% (90/192) and the positive rate of multiple genotypes infection was 35 .42% (68/192);In 85 cases of cervical cancers ,the to-tal infection rate of HPV was 88 .24% (75/85) ,the positive rate of single genotype infection was 65 .88% (56/85) and the positive rate of multiple genotypes infection was 22 .35% (19/85) .Conclusion PCR combined with the gene-chips technique can be used in the detection of the tissue samples of cervical lesions ,once detection can detect 23 kinds of HPV genotypes with high sensitivity and strong specificity ,which has very important significance to the prevention and treatment of cervical cancer and precancerous lesions and the their vaccine research .
出处 《国际检验医学杂志》 CAS 2014年第5期533-535,共3页 International Journal of Laboratory Medicine
基金 南京市卫生局中医专项资助项目(2009-92)
关键词 宫颈癌 宫颈上皮内瘤变 人乳头瘤病毒 基因型 cervical cancer cervical intraepithelial neoplasia human papillomavirus genotyping
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