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Current Evidence on the Association between rs3757318 of C6orf97 and Breast Cancer Risk: a Meta-Analysis

  • Hong, Yuan (Department of Clinical Laboratory, Hubei Maternal and Child Health Hospital) ;
  • Chen, Xue-Qin (State Key Laboratory of Environment Health (Incubation), Ministry of Education, Key Laboratory of Environment & Health, Ministry of Environmental Protection, Key Laboratory of Environment and Health, and Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology) ;
  • Li, Jiao-Yuan (State Key Laboratory of Environment Health (Incubation), Ministry of Education, Key Laboratory of Environment & Health, Ministry of Environmental Protection, Key Laboratory of Environment and Health, and Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology) ;
  • Liu, Cheng (State Key Laboratory of Environment Health (Incubation), Ministry of Education, Key Laboratory of Environment & Health, Ministry of Environmental Protection, Key Laboratory of Environment and Health, and Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology) ;
  • Shen, Na (State Key Laboratory of Environment Health (Incubation), Ministry of Education, Key Laboratory of Environment & Health, Ministry of Environmental Protection, Key Laboratory of Environment and Health, and Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology) ;
  • Zhu, Bei-Bei (State Key Laboratory of Environment Health (Incubation), Ministry of Education, Key Laboratory of Environment & Health, Ministry of Environmental Protection, Key Laboratory of Environment and Health, and Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology) ;
  • Gong, Jing (State Key Laboratory of Environment Health (Incubation), Ministry of Education, Key Laboratory of Environment & Health, Ministry of Environmental Protection, Key Laboratory of Environment and Health, and Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology) ;
  • Chen, Wei (State Key Laboratory of Environment Health (Incubation), Ministry of Education, Key Laboratory of Environment & Health, Ministry of Environmental Protection, Key Laboratory of Environment and Health, and Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology)
  • Published : 2014.10.23

Abstract

Background: A common genetic variant rs3757318, located in intron of C6orf97, was firstly identified to be associated with breast cancer (BC) risk by a genome-wide association (GWA) study. However, subsequent validation studies with different ethnicities have yielded conflicting results. Materials and Methods: We performed a meta-analysis to synthesize all available data for evaluating the precise effect of this variant on BC susceptibility. Results: A total of 8 articles containing 11 studies with 62,891 cases and 65,635 controls were included in this meta-analysis. When compared to the G allele, the rs3757318-A allele was significantly associated with BC risk with the pooled OR of 1.21 (95% CI=1.15 - 1.29, P<0.001) but with obvious between-study heterogeneity (P=0.040). Stratified analysis suggested that diversity of ethnicity along with control source may explain part of the heterogeneity. Similarly, significant associations were also identified in heterozygote, homozygote, dominant and recessive genetic models. Sensitivity and publication bias analyses indicated robust stability of our results. Conclusions: Our present meta-analysis demonstrated that the variant rs3757318 is associated with increased BC risk. Nevertheless, further studies are needed to clarify the underlying biological mechanisms.

Keywords

References

  1. Andersen TI, Heimdal KR, Skrede M, et al (1994). Oestrogen receptor (ESR) polymorphisms and breast cancer susceptibility. Hum Genet, 94, 665-70.
  2. Antoniou AC, Easton DF (2006). Models of genetic susceptibility to breast cancer. Oncogene, 25, 5898-905. https://doi.org/10.1038/sj.onc.1209879
  3. Antoniou AC, Pharoah PD, McMullan G, et al (2002). A comprehensive model for familial breast cancer incorporating BRCA1, BRCA2 and other genes. Br J Cancer, 86, 76-83. https://doi.org/10.1038/sj.bjc.6600008
  4. Barzan D, Veldwijk MR, Herskind C, et al (2013). Comparison of genetic variation of breast cancer susceptibility genes in Chinese and German populations. Eur J Hum Genet.
  5. Cai Q, Shu XO, Jin F, et al (2003). Genetic polymorphisms in the estrogen receptor alpha gene and risk of breast cancer: results from the Shanghai Breast Cancer Study. Cancer Epidemiol Biomarkers Prev, 12, 853-9.
  6. Chen W, Song H, Zhong R, et al (2013). Risk of GWAS-identified genetic variants for breast cancer in a Chinese population: a multiple interaction analysis. Breast Cancer Res Treat, 142, 637-44. https://doi.org/10.1007/s10549-013-2775-8
  7. Chen W, Zhong R, Ming J, et al (2012). The SLC4A7 variant rs4973768 is associated with breast cancer risk: evidence from a case-control study and a meta-analysis. Breast Cancer Res Treat, 136, 847-57. https://doi.org/10.1007/s10549-012-2309-9
  8. Chen WQ (2009). [Estimation of cancer incidence and mortality in China in 2004-2005]. Zhonghua Zhong Liu Za Zhi, 31, 664-8.
  9. DerSimonian R, Laird N (1986). Meta-analysis in clinical trials. Control Clin Trials, 7, 177-88. https://doi.org/10.1016/0197-2456(86)90046-2
  10. Easton DF, Pooley KA, Dunning AM, et al (2007). Genome-wide association study identifies novel breast cancer susceptibility loci. Nature, 447, 1087-93. https://doi.org/10.1038/nature05887
  11. Egger M, Davey Smith G, Schneider M, Minder C (1997). Bias in meta-analysis detected by a simple, graphical test. BMJ, 315, 629-34. https://doi.org/10.1136/bmj.315.7109.629
  12. Gold B, Kalush F, Bergeron J, et al (2004). Estrogen receptor genotypes and haplotypes associated with breast cancer risk. Cancer Res, 64, 8891-900. https://doi.org/10.1158/0008-5472.CAN-04-1256
  13. Guo H, Ming J, Liu C, et al (2012). A common polymorphism near the ESR1 gene is associated with risk of breast cancer: evidence from a case-control study and a meta-analysis. PLoS One, 7, 52445. https://doi.org/10.1371/journal.pone.0052445
  14. Jemal A, Bray F, Center MM, et al (2011). Global cancer statistics. CA Cancer J Clin, 61, 69-90. https://doi.org/10.3322/caac.20107
  15. Michailidou K, Hall P, Gonzalez-Neira A, et al (2013). Largescale genotyping identifies 41 new loci associated with breast cancer risk. Nat Genet, 45, 353-61. https://doi.org/10.1038/ng.2563
  16. Miki Y, Swensen J, Shattuck-Eidens D, et al (1994). A strong candidate for the breast and ovarian cancer susceptibility gene BRCA1. Science, 266, 66-71. https://doi.org/10.1126/science.7545954
  17. Mizoo T, Taira N, Nishiyama K, et al (2013). Effects of lifestyle and single nucleotide polymorphisms on breast cancer risk: a case--control study in Japanese women. BMC Cancer, 13, 565. https://doi.org/10.1186/1471-2407-13-565
  18. Nathanson KL, Wooster R, Weber BL (2001). Breast cancer genetics: what we know and what we need. Nat Med, 7, 552-6. https://doi.org/10.1038/87876
  19. Stacey SN, Manolescu A, Sulem P, et al (2007). Common variants on chromosomes 2q35 and 16q12 confer susceptibility to estrogen receptor-positive breast cancer. Nat Genet, 39, 865-9. https://doi.org/10.1038/ng2064
  20. Sueta A, Ito H, Kawase T, et al (2012). A genetic risk predictor for breast cancer using a combination of low-penetrance polymorphisms in a Japanese population. Breast Cancer Res Treat, 132, 711-21. https://doi.org/10.1007/s10549-011-1904-5
  21. Turnbull C, Ahmed S, Morrison J, et al (2010). Genomewide association study identifies five new breast cancer susceptibility loci. Nat Genet, 42, 504-7. https://doi.org/10.1038/ng.586
  22. Wooster R, Bignell G, Lancaster J, et al (1995). Identification of the breast cancer susceptibility gene BRCA2. Nature, 378, 789-92. https://doi.org/10.1038/378789a0
  23. Xia P, Jin T, Geng T, et al (2013). Polymorphisms in ESR1 and FLJ43663 are associated with breast cancer risk in the Han population. Tumour Biol.
  24. Yang L, Li LD, Chen YD, Parkin DM (2006). Time trends, estimates and projects for breast cancer incidence and mortality in China. Zhonghua Zhong Liu Za Zhi, 28, 438-40 (in Chinese).
  25. Yoshimoto N, Nishiyama T, Toyama T, et al (2011). Genetic and environmental predictors, endogenous hormones and growth factors, and risk of estrogen receptor-positive breast cancer in Japanese women. Cancer Sci, 102, 2065-72. https://doi.org/10.1111/j.1349-7006.2011.02047.x
  26. Zhang YX, Wang XM, Kang S, Li X, Geng J (2013). Common variants in the PALB2 gene confer susceptibility to breast cancer: a meta-analysis. Asian Pac J Cancer Prev, 14, 7149-54. https://doi.org/10.7314/APJCP.2013.14.12.7149
  27. Zhang ZH, Yang LS, Huang F, et al (2012). Current evidence on the relationship between two polymorphisms in the NBS1 gene and breast cancer risk: a meta-analysis. Asian Pac J Cancer Prev, 13, 5375-9. https://doi.org/10.7314/APJCP.2012.13.11.5375
  28. Zheng W, Long J, Gao YT, et al (2009). Genome-wide association study identifies a new breast cancer susceptibility locus at 6q25.1. Nat Genet, 41, 324-8. https://doi.org/10.1038/ng.318

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