Relationship of Human Papillomavirus Subtypes and Multiple Infection with Different Cervical Precancerous Diseases in Sichuan Province
Abstract
To investigate the relationship of human papillomavirus (HPV) subtypes and multiple infections with different cervical precancerous diseases. Methods Retrospective study was done to review 1 226 patients with different cervical lesions who were pathologically diagnosed and scanned for HPV 23 subtypes with positive results from June 2006 to May 2012. These patients were divided into the following groups, chronic cervicitis, cervical condyloma, cervical intraepithelium neoplasia grade Ⅰ(CINⅠ) , grade Ⅱ(CINⅡ),gradeⅢ (CINⅢ). Results There were significant differences in the proportion of HPV low risk types and high risk types between cervicitis, condyloma, CINⅠgroup and CINⅡ+Ⅲ groups (P<0.05). HPV low risk types in condyloma group were mainly 6 and 11 subtype, while the other four groups were 42 and 43 subtype. The four most prevalence high risk types were 58,16,52,18 subtype. The infection rates of HPV16 were significant different in cervicitis(11.0%), CINⅡ(20.3%), and CINⅢ (20.2%)(P<0.01), and the infection rates of HPV58 was quite different between cervicitis (15.9%) and CINⅡ(21.4%)(P<0.05). HPV multiple infection rate in condyloma (68.8%) was significant different from that of cervicitis (23.1%), CINI (26.1%), CINⅡ(27.8%)and CINⅢ (27.1%)(P<0.01);while the rest four groups were not significantly different (P>0.05). Conclusion There is a unique epidemiologic characteristic of HPV infection in Sichuan Province. The HPV low risk types were mainly 42 and 43, and high risk types were mainly 58,16,52,18. It seems that HPV multiple infection is not the leading cause of progression of cervical disease.
Keywords: Human papillomavirus, Multiple infection, High risk subtype, Cervical precancerous disease, Epidemiology
Full Text:
PDFReferences
Ortiz A, Oliver G. On the use of the overlapping area matrix for image segmentation evaluation; a survey and new performance measures. Pattern Recogn Lett, 2006; 27 ( 16 ); 1916-1926.
Pedro C, Miguel AC, Ana M, et al. A method for segmentation of dental implants and crestal bone. Int J Comput Assist Radiol Surg,2013;8(5):711-721.
Franzle A, Sumkauskaite M, Hillengass J, et al. Fully automated shape model positioning for bone segmentation in whole-body CT scans. Journal of Physics; Conference Series 489: X H International Conference on the Use of Computers in Radiation Therapy (ICCR 2013), Melbourne, May 6-9,2013, Bristol: IOP,2014.
Zhang Y, Qu H, Wang Y. Adaptive image segmentation based on fast thresholding and image merging. Artificial Reality and Telexistence Workshops, 2006. ICAT 9 06. 16th International Conference on, Hangzhou, Nov. 29-Dec. 1, 2006, Piscataway: IEEE, 2006.
Marine S, Stephen LB, Irene B. Partial-volume effect in PET tumor imaging. J Nucl Med,2007;48(6) ;932-945.
June SK. Vivek S, Jun KL. et al. Automated 3-Г) extraction and evaluation of the inner and outer cortical surfaces using a Laplacian map and partial volume effect classification. Neuroimage,2005 ;27( 1):210-221.
Aptoula Е, Lefevre S. On lexicographical ordering in multivariate mathematical morphology. Pattern Recognit Lett, 2008;29(2):109-118.
RhoJY, Hobatho MC, Ashman RB. Relations of mechanical properties to density and CT numbers in human bone. Med Eng Phys,1995;17(5):347-355.
Wilfried S, Thomas B, Wolfgang S. Correlation between CT numbers and tissue parameters needed for Monte Carlo simulations of clinical dose distributions. Phys Med Biol,2000; 45(2):459-478.
Bernard Е, Pons-Salort М. Favre М. Еt аl. Comparing human papillomavirus prevalences in women with normal cytology or invasive cervical cancer to rank genotypes according to their oncogenic potential: a meta-analysis of observational studies. BMC Infect Dis,2013;13(l):373.
Chen HC, Schiffman M, Lin CY, et al. Persistence of type- specific human papillomavirus infection and increased long-term risk of cervical cancer. J Natl Cancer Inst,2011; 103( 18); 1387- 1396.
Castellsague X. Natural history and epidemiology of HPV infection and cervical cancer. Gynecol Oncol ,2008; 110(3 Suppl 2):s4-s7.
Woodman CB, Collins SI. Young LS. The natural history of cervical HPV infection; unresolved issues. Nat Rev Cancer, 2007;7( 1): 11-22.
Bao YP. Li N, Smith JS, et al, Human papillomavirus type distribution in women from Asia: a meta-analysis. Int J Gynecal Cancer,2008; 18(1):71-79.
Li LK, Dai M, Clifford GM. et al. Human papillomavirus infection in Shenyang City, Peoples Republic of China: a population-based study. Br J Cancer, 2006;95(11); 1593-1597.
Massad LS, Einstein MH, Huh WK, et al. 2012 ASCCP Consensus Guidelines Conference. 2012 updated consensus guidelines for the management of abnormal cervical cancer screening tests and cancer precursors. Obstet Gynecol, 2013; 121(4):829-846.
Kovacs K, Varnai AD, Bollmann M, et al. A 7. 5-year prospective study of longer than 18 months type-specific human papillomavirus persistence in a routine cytology-based cervical screening population of about 31, 000 women in West Germany. Eur J Cancer Prev,2009; 18(4) ;307-315.
Roteli-Martins CM, de Carvalho NS, Naud P. et al. Prescience of human papillomavirus infection and associated risk factors in young women in Brazil, Canada, and the United States; a multicenter cross-sectional study. Int J Gynecol Pathol,2011 ?30(2); 173-184.
Refbacks
- There are currently no refbacks.



