PMID- 25223804
OWN - NLM
STAT- MEDLINE
DCOM- 20151204
LR  - 20181202
IS  - 1878-3511 (Electronic)
IS  - 1201-9712 (Linking)
VI  - 28
DP  - 2014 Nov
TI  - A risk evaluation model of cervical cancer based on etiology and human leukocyte 
      antigen allele susceptibility.
PG  - 8-12
LID - S1201-9712(14)01543-4 [pii]
LID - 10.1016/j.ijid.2014.05.015 [doi]
AB  - BACKGROUND: There are no reliable risk factors to accurately predict progression 
      to cervical cancer in patients with chronic cervicitis infected with human 
      papillomavirus (HPV). The aim of this study was to create a validated predictive 
      model based on the risk factors for cervical cancer. A model to estimate the risk 
      of cervical cancer may help select patients for intervention therapy in order to 
      reduce the occurrence of cervical cancer after HPV infection. METHODS: This 
      retrospective analysis included 68 patients with cervical cancer and 202 healthy 
      female controls. HPV infection and human leukocyte antigen (HLA) class II alleles 
      in HLA-DRB1, 3-7, and 9 were detected. Other information was collected, including 
      level of education and age at first parturition. Multiple regression analysis and 
      an artificial neural network (ANN) were performed to identify the independent 
      risk factors for cervical cancer, and based on these, an evaluation model for the 
      prediction of the incidence of cervical cancer was formed. RESULTS: This model 
      showed HPV to be a pivotal player in cervical cancer that increased the risk by 
      7.6-fold. The presence of the HLA-DRB1*13-2 and HLA-DRB1*3(17) alleles was 
      associated with an increased risk of developing cervical cancer. Conversely, the 
      HLA-DRB1*09012 and HLA-DRB1*1201 alleles were found to be associated with a 
      reduced cervical cancer risk. In addition, other factors, such as age at first 
      parturition and education level, had significant effects on cervical cancer risk. 
      The model was applied to conduct a risk assessment of women in the mountain area 
      of Wufeng County, Hubei Province in China. The sensitivity and specificity of our 
      model both exceeded 95%. CONCLUSIONS: This model, based on etiology and HLA 
      allele susceptibility, can estimate the risk of cervical cancer in chronic 
      cervicitis patients after HPV infection. It combines genetic and environmental 
      factors and significantly enhances the accuracy of risk evaluation for cervical 
      cancer. This model could be used to select patients for intervention therapy and 
      to guide patient classification management.
FAU - Hu, Bicheng
AU  - Hu B
AD  - Institute of Virology, School of Medicine, State Key Laboratory of Virology, 
      Wuhan University, Wuhan 430071, Hubei, China; The Clinical Laboratory, Wuhan No. 
      1 Hospital, Wuhan, Hubei, China.
FAU - Tao, Ning
AU  - Tao N
AD  - Institute of Virology, School of Medicine, State Key Laboratory of Virology, 
      Wuhan University, Wuhan 430071, Hubei, China; Institute of Biophysics, Chinese 
      Academy of Sciences, Beijing, China.
FAU - Zeng, Fanyu
AU  - Zeng F
AD  - Institute of Virology, School of Medicine, State Key Laboratory of Virology, 
      Wuhan University, Wuhan 430071, Hubei, China; The Clinical Laboratory, Wuhan No. 
      1 Hospital, Wuhan, Hubei, China.
FAU - Zhao, Min
AU  - Zhao M
AD  - Institute of Virology, School of Medicine, State Key Laboratory of Virology, 
      Wuhan University, Wuhan 430071, Hubei, China.
FAU - Qiu, Lixin
AU  - Qiu L
AD  - Institute of Virology, School of Medicine, State Key Laboratory of Virology, 
      Wuhan University, Wuhan 430071, Hubei, China.
FAU - Chen, Wen
AU  - Chen W
AD  - Institute of Virology, School of Medicine, State Key Laboratory of Virology, 
      Wuhan University, Wuhan 430071, Hubei, China.
FAU - Tan, Yun
AU  - Tan Y
AD  - Institute of Virology, School of Medicine, State Key Laboratory of Virology, 
      Wuhan University, Wuhan 430071, Hubei, China.
FAU - Wei, Yun
AU  - Wei Y
AD  - Institute of Virology, School of Medicine, State Key Laboratory of Virology, 
      Wuhan University, Wuhan 430071, Hubei, China.
FAU - Wu, Xufeng
AU  - Wu X
AD  - Hospital for Women and Children of Hubei, Wuhan 430070, Hubei, China.
FAU - Wu, Xinxing
AU  - Wu X
AD  - Institute of Virology, School of Medicine, State Key Laboratory of Virology, 
      Wuhan University, Wuhan 430071, Hubei, China. Electronic address: 
      wuxinxing9755@163.com.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20140916
PL  - Canada
TA  - Int J Infect Dis
JT  - International journal of infectious diseases : IJID : official publication of the 
      International Society for Infectious Diseases
JID - 9610933
RN  - 0 (HLA Antigens)
RN  - 0 (Histocompatibility Antigens Class II)
SB  - IM
MH  - Adult
MH  - Aged
MH  - Alleles
MH  - China
MH  - Female
MH  - HLA Antigens/*genetics
MH  - Histocompatibility Antigens Class II/genetics
MH  - Humans
MH  - Middle Aged
MH  - Models, Biological
MH  - Papillomaviridae
MH  - Papillomavirus Infections/*complications
MH  - Retrospective Studies
MH  - Risk Assessment
MH  - Risk Factors
MH  - Uterine Cervical Neoplasms/*epidemiology/etiology/genetics/virology
OTO - NOTNLM
OT  - Cervical cancer
OT  - Evaluation model
OT  - HLA II class allele
OT  - HPV
EDAT- 2014/09/17 06:00
MHDA- 2015/12/15 06:00
CRDT- 2014/09/17 06:00
PHST- 2014/02/27 00:00 [received]
PHST- 2014/05/09 00:00 [revised]
PHST- 2014/05/19 00:00 [accepted]
PHST- 2014/09/17 06:00 [entrez]
PHST- 2014/09/17 06:00 [pubmed]
PHST- 2015/12/15 06:00 [medline]
AID - S1201-9712(14)01543-4 [pii]
AID - 10.1016/j.ijid.2014.05.015 [doi]
PST - ppublish
SO  - Int J Infect Dis. 2014 Nov;28:8-12. doi: 10.1016/j.ijid.2014.05.015. Epub 2014 
      Sep 16.