Jing Lipeng, Zhong Xingming, Huang Weihuang, Liu Yang, Wang Man, Miao Zhulin, Zhang Xiaoping, Zou Jing, Zheng Baowen, Chen Congde, Liang Xiaoman, Yang Guang, Jing Chunxia, Wei Xiangcai
Department of Epidemiology, Medical School of Jinan University, Jinan, Guangdong Province, China.
BMC Infect Dis. 2014 Jul 12;14:388. doi: 10.1186/1471-2334-14-388.
It is important to understand the specific HPV genotype distribution in screen-detected lesions. HPV Genotype is helpful for separating HPV-positive women at greater risk of cancer from those who can regress spontaneously and for preventing cervical cancer at early stage. The aim of this study was to investigate the high-risk HPV genotype distribution among cervical cytology abnormality in Pearl River Delta Region, Southern China
5585 HPV-infected women were screened from 77069 women in Pearl River Delta Region. Information was obtained from 3226 screened subjects through questionnaires and personal interviews. Exfoliated cervical cells were collected by doctors for HPV test with MassARRAY (Sequenom, Sandiego, CA) technique based on the matrix-assisted laser desorption/ionization time-of flight (MALDI-TOF) mass spectrometry (MS). The ThinPrep cytology test was performed to screen for cervical cancer. Unconditional logistic was used to determine the most common HPV carcinogenic types.
Of the 3226 HPV-positive samples tested, 1744 (54.1%) with normal cervical cytology, 1482 (45.9%) with abnormal cytology. The five most common HPV types in this study were HPV16 (20.2%), HPV52 (17.1%), HPV58 (13.2%), HPV18 (9.5%), HPV6 (7.6%). Overall, HPV16 (OR = 10.5, 95% CI: 3.7 ~ 29.6), HPV33 (OR = 9.1, 95% CI: 2.8 ~ 29.2), HPV58 (OR = 6.3, 95% CI: 2.1 ~ 18.6), HPV31 (OR = 4.5, 95% CI: 1.3 ~ 15.5), multiple genotype infection (OR = 3.0, 95% CI: 1.7 ~ 14.7), especially HPV16 and HPV33, increased the risk of cytology abnormalities.
HPV16, HPV31, HPV33, HPV58, and multiple HPV genotype infection increased the risk of cytology abnormalities in Pearl River Delta Region and might be useful for the screening, preventing, treating, and monitoring of pre-cancer lesions in southern China.
了解筛查发现的病变中特定的人乳头瘤病毒(HPV)基因型分布很重要。HPV基因型有助于将患癌风险较高的HPV阳性女性与可自发消退的女性区分开来,并有助于早期预防宫颈癌。本研究的目的是调查中国南方珠江三角洲地区宫颈细胞学异常患者中高危HPV基因型的分布情况。
从珠江三角洲地区的77069名女性中筛查出5585名HPV感染女性。通过问卷调查和个人访谈收集了3226名筛查对象的信息。医生采集脱落的宫颈细胞,采用基于基质辅助激光解吸/电离飞行时间(MALDI-TOF)质谱(MS)的MassARRAY(Sequenom,加利福尼亚州圣地亚哥)技术进行HPV检测。采用薄层液基细胞学检测筛查宫颈癌。采用非条件逻辑回归确定最常见的HPV致癌类型。
在检测的3226份HPV阳性样本中,1744份(54.1%)宫颈细胞学正常,1482份(45.9%)细胞学异常。本研究中最常见的五种HPV类型为HPV16(20.2%)、HPV52(17.1%)、HPV58(13.2%)、HPV18(9.5%)、HPV6(7.6%)。总体而言,HPV16(比值比[OR]=10.5,95%置信区间[CI]:3.729.6)、HPV33(OR=9.1,95%CI:2.829.2)、HPV58(OR=6.3,95%CI:2.118.6)、HPV31(OR=4.5,95%CI:1.315.5)、多重基因型感染(OR=3.0,95%CI:1.7~14.7),尤其是HPV16和HPV33,增加了细胞学异常的风险。
HPV16、HPV31、HPV33、HPV58以及多重HPV基因型感染增加了珠江三角洲地区细胞学异常的风险,可能有助于中国南方癌前病变的筛查、预防、治疗及监测。