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The AURKA Gene rs2273535 Polymorphism Contributes to Breast Carcinoma Risk - Meta-analysis of Eleven Studies

  • Guo, Xu-Guang (Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University) ;
  • Zheng, Lei (Department of Clinical Laboratory Medicine, Nanfang Hospital of Southern Medical University) ;
  • Feng, Wei-Bo (Department of Clinical Laboratory Medicine, Affiliated Xixiang People's Hospital of Guangdong Medical College) ;
  • Xia, Yong (Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University)
  • Published : 2014.08.30

Abstract

The rs2273535 polymorphism in the AURKA gene had proven to be associated with breast carcinoma susceptibility. Nevertheless, the results of different studies remain contradictory. A meta-analysis covering 28, 789 subjects from eleven different studies was here carried out in order to investigate the association in detail. The random effects model was used to analyze the pooled odds ratios (ORs) and their corresponding 95% confidence intervals (95% CIs). A significant relationship between the rs2273535 polymorphism and breast tumors was found in an allelic genetic model (OR: 1.076, 95% CI: 1.004-1.153, p=0.040, $P_{heterogeneity}$=0.002). No significant association was detected in a homozygote model (OR: 1.186, 95% CI: 0.990-1.423, P=0.065, $P_{heterogeneity}$=0.002), a heterozygote model (OR: 1.016, 95% CI: 0.959-1.076, p=0.064, $P_{heterogeneity}$=0.000), a dominant genetic model (OR: 1.147, 95% CI: 0.992-1.325, p=0.217, $P_{heterogeneity}$=0.294) and a recessive genetic model (OR: 1.093, 95% CI: 0.878-1.361, p=0.425, $P_{heterogeneity}$=0.707). A significant relationship between the rs2273535 polymorphism in the AURKA gene and breast tumor in Asian group was found in an allelic genetic model (OR: 1.124, 95% CI: 1.003-1.29, p=0.044, $P_{heterogeneity}$=0.034), a homozygote model (OR: 1.229, 95% CI: 1.038-1.455, p=0.016, $P_{heterogeneity}$=0.266) and a recessive genetic model (OR: 1.227, 95% CI: 1.001-1.504, p=0.049, $P_{heterogeneity}$=0.006). A significant association was thus observed between the rs2273535 polymorphism in the AURKA gene and breast cancer risk. Individuals with the rs2273535 polymorphism in the AURKA gene have a higher risk of breast cancer in Asian populations, but not in Caucasians.

Keywords

Breast carcinoma;STK-15 polymorphism;cancer risk;meta-analysis

References

  1. Cochran WG (1968). The effectiveness of adjustment by subclassification in removing bias in observational studies. Biometrics, 24, 295-313. https://doi.org/10.2307/2528036
  2. Couch FJ, Sinilnikova O, Vierkant RA, et al (2007). AURKA F31I polymorphism and breast cancer risk in BRCA1 and BRCA2 mutation carriers: a consortium of investigators of modifiers of BRCA1/2 study. Cancer Epidemiol Biomarkers Prev, 16, 1416-21. https://doi.org/10.1158/1055-9965.EPI-07-0129
  3. Cox DG, Hankinson SE, Hunter DJ (2006). Polymorphisms of the AURKA (STK15/Aurora Kinase) Gene and Breast Cancer Risk (United States). Cancer Causes Control, 17, 81-3. https://doi.org/10.1007/s10552-005-0429-9
  4. Dai Q, Cai QY, Shu XO, et al (2004). Synergistic effects of STK15 gene polymorphisms and endogenous estrogen exposure in the risk of breast cancer. Cancer Epidemiol Biomarkers Prev, 13, 2065-70.
  5. DeSantis C, Ma J, Bryan L, et al (2014). Breast cancer statistics, 2013. CA Cancer J Clin, 64, 52-62. https://doi.org/10.3322/caac.21203
  6. Egan KM, Newcomb PA, Ambrosone CB, et al (2004). STK15 polymorphism and breast cancer risk in a population-based study. Carcinogenesis, 25, 2149-53. https://doi.org/10.1093/carcin/bgh231
  7. Egger M, Davey Smith G, Schneider M, et al (1997). Bias in meta-analysis detected by a simple, graphical test. BMJ, 315, 629-34. https://doi.org/10.1136/bmj.315.7109.629
  8. Ewart-Toland A, Dai Q, Gao YT, et al (2005). Aurora-A/STK15 T+91A is a general low penetrance cancer susceptibility gene: a meta-analysis of multiple cancer types. Carcinogenesis, 26, 1368-73. https://doi.org/10.1093/carcin/bgi085
  9. Fletcher O, Johnson N, Palles C, et al (2006). Inconsistent association between the STK15 F31I genetic polymorphism and breast cancer risk. J Natl Cancer Inst, 98, 1014-8. https://doi.org/10.1093/jnci/djj268
  10. Guo XG, Xia Y (2013). The Interleukin-18 promoter -607C>A polymorphism contributes to nasopharyngeal carcinoma risk: evidence from a meta-analysis including 1, 886 subjects. Asian Pac J Cancer Prev, 14, 7577-81. https://doi.org/10.7314/APJCP.2013.14.12.7577
  11. Lo YL, Yu JC, Chen ST, et al (2005). Breast cancer risk associated with genotypic polymorphism of the mitosisregulating gene Aurora-A/STK15/BTAK. Int J Cancer, 115, 276-83. https://doi.org/10.1002/ijc.20855
  12. Mantel N, Haenszel W (1959). Statistical aspects of the analysis of data from retrospective studies of disease. J Natl Cancer Inst, 22, 719-48.
  13. MARIE-GENICA Consortium on Genetic Susceptibility for Menopausal Hormone Therapy Related Breast Cancer Risk (2010). Polymorphisms in the BRCA1 and ABCB1 genes modulate menopausal hormone therapy associated breast cancer risk in postmenopausal women. Breast Cancer Res Treat, 120, 727-36. https://doi.org/10.1007/s10549-009-0489-8
  14. Miyoshi Y, Iwao K, Egawa C, et al (2001). Association of centrosomal kinase STK15/BTAK mRNA expression with chromosomal instability in human breast cancers. Int J Cancer, 92, 370-3. https://doi.org/10.1002/ijc.1200
  15. Qin K, Wu C, Wu X (2013). Two nonsynonymous polymorphisms (F31I and V57I) of the STK15 gene and breast cancer risk: a meta-analysis based on 5966 cases and 7609 controls. J Int Med Res, 41, 956-63. https://doi.org/10.1177/0300060513490087
  16. Ruan Y, Song AP, Wang H, et al (2011). Genetic polymorphisms in AURKA and BRCA1 are associated with breast cancer susceptibility in a Chinese Han population. J Pathol, 225, 535-43. https://doi.org/10.1002/path.2902
  17. Shi H, Bevier M, Johansson R, et al (2011). Single nucleotide polymorphisms in the 20q13 amplicon genes in relation to breast cancer risk and clinical outcome. Breast Cancer Res Treat, 130, 905-16. https://doi.org/10.1007/s10549-011-1600-5
  18. Siegel R, Ma J, Zou Z, et al (2014). Cancer statistics, 2014. CA Cancer J Clin, 64, 9-29. https://doi.org/10.3322/caac.21208
  19. Siegel R, Naishadham D, Jemal A (2013). Cancer statistics, 2013. CA Cancer J Clin, 63, 11-30. https://doi.org/10.3322/caac.21166
  20. Stuck AE, Rubenstein LZ, Wieland D (1998). Bias in metaanalysis detected by a simple, graphical test. Asymmetry detected in funnel plot was probably due to true heterogeneity. BMJ, 316, 70-1.
  21. Sun T, Miao X, Wang J, et al (2004). Functional Phe31Ile polymorphism in Aurora A and risk of breast carcinoma. Carcinogenesis, 25, 2225-30. https://doi.org/10.1093/carcin/bgh244
  22. Tang W, Qiu H, Ding H, et al (2013). Association between the STK15 F31I polymorphism and cancer susceptibility: a meta-analysis involving 43, 626 subjects. PLoS One, 8, e82790. https://doi.org/10.1371/journal.pone.0082790
  23. Tchatchou S, Wirtenberger M, Hemminki K, et al (2007). Aurora kinases A and B and familial breast cancer risk. Cancer Lett, 247, 266-72. https://doi.org/10.1016/j.canlet.2006.05.002
  24. Thakkinstian A, McElduff P, D'Este C, et al (2005). A method for meta-analysis of molecular association studies. Stat Med, 24, 1291-306. https://doi.org/10.1002/sim.2010
  25. Vidarsdottir L, Bodvarsdottir SK, Hilmarsdottir H, et al (2007). Breast cancer risk associated with AURKA 91T >A polymorphism in relation to BRCA mutations. Cancer Lett, 250, 206-12. https://doi.org/10.1016/j.canlet.2006.10.003
  26. Wu LZ, Han RQ, Zhou JY, et al (2014). Incidence and mortality of female breast cancer in Jiangsu, China. Asian Pac J Cancer Prev, 15, 2727-32. https://doi.org/10.7314/APJCP.2014.15.6.2727
  27. Xia Y, Guo XG, Ji TX (2014). The G801A polymorphism in the CXCL12 gene and risk of breast carcinoma: evidence from a meta-analysis including 2, 931 subjects. Asian Pac J Cancer Prev, 15, 2857-61. https://doi.org/10.7314/APJCP.2014.15.6.2857
  28. Xu L, Zhou X, Jiang F, et al (2013). STK15 rs2273535 polymorphism and cancer risk: A meta-analysis of 74, 896 subjects. Cancer Epidemiol, 38, 111-17.
  29. Yang YC, Chang TY, Chen TC, et al (2013). Genetic variants in interleukin-18 gene and risk for cervical squamous cell carcinoma. Human Immunology, 74, 882-7. https://doi.org/10.1016/j.humimm.2013.04.001
  30. Zeng H, Zheng R, Zhang S, et al (2014). Female breast cancer statistics of 2010 in China: estimates based on data from 145 population-based cancer registries. J Thorac Dis, 6, 466-70.

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