Faculty Collaboration Database

Polymorphisms in HPV E6/E7 protein interacted genes and risk of cervical cancer in Chinese women: a case-control analysis. Gynecol Oncol 2009 Aug;114(2):327-31

Date

06/02/2009

Pubmed ID

19482343

DOI

10.1016/j.ygyno.2009.05.011

Scopus ID

2-s2.0-67549118425 (requires institutional sign-in at Scopus site)   27 Citations

Abstract

OBJECTIVE: Accumulating studies indicate that HPV E6/E7 oncoproteins interacting genes, TP53, BRCA1 and BARD1, play a critical role in cervical carcinogenesis. We hypothesized that potentially functional polymorphisms in TP53, BRCA1 and BRAD1 may individually and/or jointly contribute to cervical cancer risk.

METHODS: We genotyped 4 single nucleotide polymorphisms (SNPs) with amino acid changes, TP53 Pro72Arg (rs1042522), BRCA1 Pro871Leu (rs799917), BARD1 Pro24Ser (rs1048108) and Arg378Ser (rs2229571), in a case-control study of 404 cervical cancer cases and 404 cancer-free controls in Chinese women.

RESULTS: Logistic regression analysis showed that the BRCA1 variant rs799917 TT genotype was associated with a significantly decreased risk of cervical cancer in a recessive genetic model (adjusted OR=0.62, 95% CI=0.40-0.95), compared with the genotypes CT/CC. However, no significant associations with cervical cancer were observed for other 3 SNPs (adjusted OR=1.01, 95% CI=0.68-1.50 for rs1048108 TT vs CT/CC; adjusted OR=1.04, 95% CI=0.67-1.64 for rs2229571 CC vs GG/GC; adjusted OR=0.84, 95% CI=0.59-1.20 for rs1042522 CC vs GG/GC).

CONCLUSION: These findings indicate that BRCA1 rs799917 polymorphism may contribute to the risk of cervical cancer in this Chinese population, and further validation in other populations are warranted.

Author List

Zhou X, Han S, Wang S, Chen X, Dong J, Shi X, Xia Y, Wang X, Hu Z, Shen H

Author

Jing Dong PhD Assistant Professor in the Medicine department at Medical College of Wisconsin

MESH terms used to index this publication - Major topics in bold

BRCA1 Protein
Case-Control Studies
China
Female
Genes, BRCA1
Genes, p53
Genetic Predisposition to Disease
Humans
Logistic Models
Middle Aged
Oncogene Proteins, Viral
Papillomavirus Infections
Polymorphism, Single Nucleotide
Tumor Suppressor Protein p53
Tumor Suppressor Proteins
Ubiquitin-Protein Ligases
Uterine Cervical Neoplasms