Skip to main content

Advertisement

SpringerLink
Log in

New conflicting results obtained in the subgroup analysis of RAD51 135G>C polymorphism and breast cancer risk

  • Letter to the Editor
  • Published:
Breast Cancer Research and Treatment Aims and scope Submit manuscript

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

References

  1. Zhou GW, Hu J, Peng XD, Li Q (2010) RAD51 135G>C polymorphism and breast cancer risk: a meta-analysis. Breast Cancer Res Treat [Epub ahead of print]

  2. Wang WW, Spurdle AB, Kolachana P, Bove B, Modan B, Ebbers SM, Suthers G, Tucker MA, Kaufman DJ, Doody MM et al (2001) A single nucleotide polymorphism in the 5′ untranslated region of RAD51 and risk of cancer among BRCA1/2 mutation carriers. Cancer Epidemiol Biomarkers Prev 10:955–960

    CAS  PubMed  Google Scholar 

  3. Jakubowska A, Gronwald J, Menkiszak J, Gorski B, Huzarski T, Byrski T, Edler L, Lubinski J, Scott RJ, Hamann U (2007) The RAD51 135 G>C polymorphism modifies breast cancer and ovarian cancer risk in Polish BRCA1 mutation carriers. Cancer Epidemiol Biomarkers Prev 16:270–275

    Article  CAS  PubMed  Google Scholar 

  4. Kadouri L, Kote-Jarai Z, Hubert A, Durocher F, Abeliovich D, Glaser B, Hamburger T, Eeles RA, Peretz T (2004) A single-nucleotide polymorphism in the RAD51 gene modifies breast cancer risk in BRCA2 carriers, but not in BRCA1 carriers or noncarriers. Br J Cancer 90:2002–2005

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Romanowicz-Makowska H, Smolarz B, Zadrozny M, Kulig A (2006) Analysis of RAD51 polymorphism and BRCA1 mutations in Polish women with breast cancer. Exp Oncol 28:156–159

    CAS  PubMed  Google Scholar 

  6. Synowiec E, Stefanska J, Morawiec Z, Blasiak J, Wozniak K (2008) Association between DNA damage, DNA repair genes variability and clinical characteristics in breast cancer patients. Mutat Res 648:65–72

    Article  CAS  PubMed  Google Scholar 

  7. Tarasov VA, Aslanyan MM, Tsyrendorzhiyeva ES, Litvinov SS, Gar’kavtseva RF, Altukhov YP (2006) Genetically determined subdivision of human populations with respect to the risk of breast cancer in women. Dokl Biol Sci 406:66–69

    Article  CAS  PubMed  Google Scholar 

  8. Gao LB, Pan XM, Li LJ, Liang WB, Zhu Y, Zhang LS, Wei YG, Tang M, Zhang L (2010) RAD51 135G/C polymorphism and breast cancer risk: a meta-analysis from 21 studies. Breast Cancer Res Treat [Epub ahead of print]

  9. Antoniou AC, Sinilnikova OM, Simard J, Leone M, Dumont M, Neuhausen SL, Struewing JP, Stoppa-Lyonnet D, Barjhoux L, Hughes DJ et al (2007) RAD51 135G→C modifies breast cancer risk among BRCA2 mutation carriers: results from a combined analysis of 19 studies. Am J Hum Genet 81:1186–1200

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Wang Z, Dong H, Fu Y, Ding H (2010) RAD51 135G>C polymorphism contributes to breast cancer susceptibility: a meta-analysis involving 26,444 subjects. Breast Cancer Res Treat [Epub ahead of print]

Download references

Acknowledgments

The authors are fully responsible for all the content and editorial decisions and have not received any financial support or other form of remuneration related to the development of this article.

Author information

Authors and Affiliations

  1. Department of General Surgery, Wuxi People’s Hospital of Nanjing Medical University, No. 299, Qingyang Road, Wuxi, 214023, Jiangsu, China

    Pei-Hua Lu, Wei Shen, Ming-Yu Wu & Guo-Qing Tao

  2. Department of Oncology, Kunshan People’s Hospital Affiliated to Jiangsu University, No. 91, Qianjin Road, Kunshan, 215300, Jiangsu, China

    Min-Bin Chen

  3. Department of Gastroenterology, Xuzhou Chinese Medicine Hospital Affiliated to Nanjing University of Chinese Medicine, No.80, Zhongshan South Road, Xuzhou, 221000, Jiangsu, China

    Chen Li

Authors
  1. Pei-Hua Lu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Min-Bin Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Wei Shen
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Chen Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Ming-Yu Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Guo-Qing Tao
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Pei-Hua Lu or Guo-Qing Tao.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Lu, PH., Chen, MB., Shen, W. et al. New conflicting results obtained in the subgroup analysis of RAD51 135G>C polymorphism and breast cancer risk. Breast Cancer Res Treat 126, 265–266 (2011). https://doi.org/10.1007/s10549-010-1267-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10549-010-1267-3

Keywords

Search

Navigation