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Relationship between status of human papillomavirus infection and integration and cervical lesions

QIN Guang-yi, TAO Min-fang   

  1. Department of Obstetrics and Gynecology, the Sixth People’s Hospital, Shanghai Jiao Tong University, Shanghai 200233, China
  • Online:2014-06-28 Published:2014-06-30
  • Supported by:

    Foundation of Science and Technology Commission of Shanghai Municipality,11411950103


Objective To explore the gene types of HPV that infects the genital tract of women and the relationships of multiple infections, hr-HPV load, integrated state of HPV16, and the severity of cervical lesions. Methods A total of 1 082 patients who received treatment in the Department of Obstetrics and Gynecology of Sixth People's Hospital, Shanghai Jiao Tong University during the period of 2009.1.1-2011.12.31 were selected. PCR-reverse dot blot, HC-Ⅱ, and multiplicitas real time PCR were adopted to detect the gene types of HPV that infected the genital tract of patients, hr-HPV load, and integrated state of HPV16. Results Nineteen gene types of HPV were detected from the genital tract of patients. Among 379 patients who were infected by HPV (35.03%), 310 of them were infected by hr-HPV (28.65%). The most common HPV types were HPV16, HPV11, HPV6, HPV52, HPV58, and HPV18. Their infection rates were 12.57%, 8.32%, 7.95%, 6.56%, 5.54%, and 4.71%, respectively. The higher the hr-HPV load of the genital tract of patients and the multiple infection rate, the risk of suffering serious cervical diseases was higher (P<0.05,P<0.001). The proportion of HPV16 integration in cervical tissue cells was positively correlated to the severity of cervical lesions (r=0.812,P<0.001). Conclusion The most common hr-HPV types that threat the female reproductive health are HPV16, HPV18, HPV52, and HPV58. The multiple infection rate of HPV in the genital tract, loading dose of hr-HPV, and proportion of HPV16 integration are high risk factors of suffering cervical precancerosis and cancer.

Key words: human papillomavirus, cervical lesions, genetype, loading dose, integrated state