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Association Study of Single-Nucleotide Polymorphisms of STAT2/STAT3/IFN-γ Genes in Cervical Cancer in Southern Chinese Han Women

  • Yuan, Yuan (Department of Immunology, Basic Medical College, Central South University) ;
  • Fan, Jie-Lin (Department of Gynecologic Oncology, The Affiliated Cancer Hospital of Xiangya School of Medicine/Hunan Cancer Hospital, Central South University) ;
  • Yao, Fang-Ling (Department of Immunology, Basic Medical College, Central South University) ;
  • Wang, Kang-Tao (Department of Immunology, Basic Medical College, Central South University) ;
  • Yu, Ying (Department of Immunology, Basic Medical College, Central South University) ;
  • Carlson, Jennifer (Division of Laboratory Genetics, Mayo Clinic) ;
  • Li, Ming (Department of Immunology, Basic Medical College, Central South University)
  • Published : 2015.04.29

Abstract

Objective: Interferon-${\gamma}$ (IFN-${\gamma}$) and signal transducers and activators of transcription (STATs) each play an important role in carcinogenesis associated with viral infection. Cervical cancer is almost invariably associated with infection by human papillomavirus (HPV), and previous studies suggested that dysregulation of the signal pathway involved in IFN-${\gamma}$ and STATs is associated. Our objective was to evaluate the association of SNPs in STAT2, STAT3, and IFN-${\gamma}$ with cervical cancer susceptibility in Chinese Han women in Hunan province. Materials and Methods: Genomic DNA was extracted from peripheral blood samples of 234 cervical cancer patients and 216 healthy female controls. STAT2 and STAT3 genotyping was performed using polymerase chain reaction-restriction enzyme (PCR-RE) analysis. IFN-${\gamma}$ genotyping was detected by PCR-amplification of specific allele (PASA). Results: For STAT2 rs2066807 polymorphisms, there was no significant difference of genotype distribution (P=0.827) and allele frequencies (P=0.830, OR=1.09, 95% CI: 0.51-2.31) between cases and controls. For STAT3 rs957970 polymorphisms, there was no significant difference of genotype distribution (P=0.455) and allele frequencies (P=0.560, OR=0.92, 95% CI: 0.71-1.20) between cases and controls. For IFN-${\gamma}$ +874A/T polymorphisms, there was no significant difference of genotype distribution (P=0.652) and allele frequencies (P=0.527, OR=1.12, 95% CI: 0.79-1.59) between cases and controls. Conclusion: These results suggest that polymorphisms in STAT2, STAT3 and IFN-${\gamma}$ genes are not likely to be strong predictors of cervical cancer in Han women in southern China.

Keywords

References

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Cited by

  1. Note of clarification of data in the paper entitled “Interferon gamma +874 T/A polymorphism increases the risk of cervical cancer: evidence from a meta-analysis” vol.39, pp.4, 2017, https://doi.org/10.1177/1010428317694564