Skip to main content

Advertisement

SpringerLink
Log in

Lack of an association between AURKA T91A polymorphisms and breast cancer: a meta-analysis involving 32,141 subjects

  • Epidemiology
  • Published:
Breast Cancer Research and Treatment Aims and scope Submit manuscript

Abstract

Several studies have investigated the associations between AURKA T91A polymorphism and the susceptibility to breast cancer, but the results have been inconclusive. To derive a more precise estimation of the relationship, a meta-analysis was performed. A total of 11 case–control studies, including 14,361 cases and 17,780 controls, were selected. Crude odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of association in the additive model, dominant model, and recessive model. When all the studies were pooled into the meta-analysis, there was no evidence showing a significant association between AURKA T91A polymorphism and breast cancer risk (for additive model, OR = 0.839, 95% CI = 0.678–1.038; for dominant model: OR = 0.890, 95% CI = 0.757–1.074; and for recessive model: OR = 0.987, 95% CI = 0.963–1.012). In the subgroup analysis by ethnicity, significantly decreased risks were found for Asians (additive model, OR = 0.857, 95% CI = 0.742–0.991). When stratified by study design, no significant association was found between the polymorphism and breast cancer risk. In conclusion, this meta-analysis indicates that the AURKA T91A polymorphism is not a risk factor for developing breast cancer.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. American Cancer Society (2009) Breast cancer facts and figures 2009–2010. American Cancer Society, Atlanta

  2. Lichtenstein P, Holm NV, Verkasalo PK, Iliadou A, Kaprio J, Koskenvuo M, Pukkala E, Skytthe A, Hemminki K (2000) Environmental and heritable factors in the causation of cancer–analyses of cohorts of twins from Sweden, Denmark, and Finland. New Engl J Med 343:78–85

    Article  CAS  PubMed  Google Scholar 

  3. Nigg EA (2002) Centrosome aberrations: cause or consequence of cancer progression? Nat Rev 2:815–825

    Article  CAS  Google Scholar 

  4. Ewart-Toland A, Briassouli P, de Koning JP, Mao JH, Yuan J, Chan F, MacCarthy-Morrogh L, Ponder BA, Nagase H, Burn J, Ball S, Almeida M, Linardopoulos S, Balmain A (2003) Identification of Stk6/STK15 as a candidate low-penetrance tumor-susceptibility gene in mouse and human. Nat Genet 34:403–412

    Article  CAS  PubMed  Google Scholar 

  5. Miyoshi Y, Iwao K, Egawa C, Noguchi S (2001) Association of centrosomal kinase STK15/BTAK mRNA expression with chromosomal instability in human breast cancers. Int J Cancer 92:370–373

    Article  CAS  PubMed  Google Scholar 

  6. Zhou H, Kuang J, Zhong L, Kuo WL, Gray JW, Sahin A, Brinkley BR, Sen S (1998) Tumour amplified kinase STK15/BTAK induces centrosome amplification, aneuploidy and transformation. Nature Genet 20:189–193

    Article  CAS  PubMed  Google Scholar 

  7. Lau J, Ioannidis JP, Schmid CH (1997) Quantitative synthesis in systematic reviews. Annals Intern Med 127:820–826

    CAS  Google Scholar 

  8. Mantel N, Haenszel W (1959) Statistical aspects of the analysis of data from retrospective studies of disease. J Nat Cancer Inst 22:719–748

    CAS  PubMed  Google Scholar 

  9. DerSimonian R, Laird N (1986) Meta-analysis in clinical trials. Control Clin Trials 7:177–188

    Article  CAS  PubMed  Google Scholar 

  10. Munafo MR, Clark TG, Flint J (2004) Assessing publication bias in genetic association studies: evidence from a recent meta-analysis. Psychiatry Res 129:39–44

    Article  PubMed  Google Scholar 

  11. Egger M, Davey Smith G, Schneider M, Minder C (1997) Bias in meta-analysis detected by a simple, graphical test. BMJ 315:629–634

    CAS  PubMed  Google Scholar 

  12. Couch FJ, Sinilnikova O, Vierkant RA, Pankratz VS, Fredericksen ZS, Stoppa-Lyonnet D, Coupier I, Hughes D, Hardouin A, Berthet P, Peock S, Cook M, Baynes C, Hodgson S, Morrison PJ, Porteous ME, Jakubowska A, Lubinski J, Gronwald J, Spurdle AB, Schmutzler R, Versmold B, Engel C, Meindl A, Sutter C, Horst J, Schaefer D, Offit K, Kirchhoff T, Andrulis IL, Ilyushik E, Glendon G, Devilee P, Vreeswijk MP, Vasen HF, Borg A, Backenhorn K, Struewing JP, Greene MH, Neuhausen SL, Rebbeck TR, Nathanson K, Domchek S, Wagner T, Garber JE, Szabo C, Zikan M, Foretova L, Olson JE, Sellers TA, Lindor N, Nevanlinna H, Tommiska J, Aittomaki K, Hamann U, Rashid MU, Torres D, Simard J, Durocher F, Guenard F, Lynch HT, Isaacs C, Weitzel J, Olopade OI, Narod S, Daly MB, Godwin AK, Tomlinson G, Easton DF, Chenevix-Trench G, Antoniou AC (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 16:1416–1421

    Article  CAS  PubMed  Google Scholar 

  13. Cox DG, Hankinson SE, Hunter DJ (2006) Polymorphisms of the AURKA (STK15/Aurora Kinase) gene and breast cancer risk (United States). Cancer Causes Control 17:81–83

    Article  PubMed  Google Scholar 

  14. Dai Q, Cai QY, Shu XO, Ewart-Toland A, Wen WQ, Balmain A, Gao YT, Zheng W (2004) Synergistic effects of STK15 gene polymorphisms and endogenous estrogen exposure in the risk of breast cancer. Cancer Epidemiol Biomarkers Prev 13:2065–2070

    CAS  PubMed  Google Scholar 

  15. Egan KM, Newcomb PA, Ambrosone CB, Trentham-Dietz A, Titus-Ernstoff L, Hampton JM, Kimura MT, Nagase H (2004) STK15 polymorphism and breast cancer risk in a population-based study. Carcinogenesis 25:2149–2153

    Article  CAS  PubMed  Google Scholar 

  16. Fletcher O, Johnson N, Palles C, dos Santos Silva I, McCormack V, Whittaker J, Ashworth A, Peto J (2006) Inconsistent association between the STK15 F31I genetic polymorphism and breast cancer risk. J Natl Cancer Inst 98:1014–1018

    Article  CAS  PubMed  Google Scholar 

  17. Lo YL, Yu JC, Chen ST, Yang HC, Fann CS, Mau YC, Shen CY (2005) Breast cancer risk associated with genotypic polymorphism of the mitosis-regulating gene Aurora-A/STK15/BTAK. Int J Cancer 115:276–283

    Article  CAS  PubMed  Google Scholar 

  18. Sun T, Miao X, Wang J, Tan W, Zhou Y, Yu C, Lin D (2004) Functional Phe31Ile polymorphism in Aurora A and risk of breast carcinoma. Carcinogenesis 25:2225–2230

    Article  CAS  PubMed  Google Scholar 

  19. Tchatchou S, Wirtenberger M, Hemminki K, Sutter C, Meindl A, Wappenschmidt B, Kiechle M, Bugert P, Schmutzler RK, Bartram CR, Burwinkel B (2007) Aurora kinases A and B and familial breast cancer risk. Cancer Lett 247:266–272

    Article  CAS  PubMed  Google Scholar 

  20. Vidarsdottir L, Bodvarsdottir SK, Hilmarsdottir H, Tryggvadottir L, Eyfjord JE (2007) Breast cancer risk associated with AURKA 91T → A polymorphism in relation to BRCA mutations. Cancer Lett 250:206–212

    Article  CAS  PubMed  Google Scholar 

  21. MARIE-GENICA Consortium (2010) Polymorphisms in the BRCA1 and ABCB1 genes modulate menopausal hormone therapy associated breast cancer risk in postmenopausal women. Breast Cancer Res Treat 120:727–736

    Article  Google Scholar 

  22. Hirschhorn JN, Lohmueller K, Byrne E, Hirschhorn K (2002) A comprehensive review of genetic association studies. Genet Med 4:45–61

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgments

This work was supported by grants from The National High Technology R&D Program of China (No.2009AA022701), the National Basic Research Program of China (No.2010CB534901), and Postdoctoral Science Foundation of Heilongjiang Province, China (No.LRB 09-292).

Author information

Authors and Affiliations

  1. Laboratory of Medical Genetics, Harbin Medical University, Baojian Road 157, Nangang District, Harbin, 150081, China

    Haiming Sun, Jing Bai, Feng Chen, Yan Jin, Yang Yu & Songbin Fu

  2. Key Laboratory of Medical Genetics (Harbin Medical University), Heilongjiang Higher Education Institutions, Harbin, 150081, China

    Yan Jin

Authors
  1. Haiming Sun
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jing Bai
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Feng Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yan Jin
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Yang Yu
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Songbin Fu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Songbin Fu.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Sun, H., Bai, J., Chen, F. et al. Lack of an association between AURKA T91A polymorphisms and breast cancer: a meta-analysis involving 32,141 subjects. Breast Cancer Res Treat 125, 175–179 (2011). https://doi.org/10.1007/s10549-010-0936-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10549-010-0936-6

Keywords

Search

Navigation