Skip to main content

Advertisement

Log in

Germline RECQL mutations in high risk Chinese breast cancer patients

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

Abstract

Recently, RECQL was reported as a new breast cancer susceptibility gene. RECQL belongs to the RECQ DNA helicase family which unwinds double strand DNA and involved in the DNA replication stress response, telomere maintenance and DNA repair. RECQL deficient mice cells are prone to spontaneous chromosomal instability and aneuploidy, suggesting a tumor-suppressive role of RECQL in cancer. In this study, RECQL gene mutation screening was performed on 1110 breast cancer patients who were negative for BRCA1, BRCA2, TP53 and PTEN gene mutations and recruited from March 2007 to June 2015 in the Hong Kong Hereditary and High Risk Breast Cancer Program. Four different RECQL pathogenic mutations were identified in six of the 1110 (0.54 %) tested breast cancer patients. The identified mutations include one frame-shift deletion (c.974_977delAAGA), two splicing site mutations (c.394+1G>A, c.867+1G>T) and one nonsense mutation (c.796C>T, p.Gln266Ter). Two of the mutations (c.867+1G>T and p.Gln266Ter) were seen in more than one patients. This study provides the basis for existing of pathogenic RECQL mutations in Southern Chinese breast cancer patients. The significance of rare variants in RECQL gene in the estimation of breast cancer risk warranted further investigation in larger cohort of patients and in other ethnic groups.

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

Access this article

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

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  1. Narod SA (2009) Modifiers of risk of hereditary breast and ovarian cancer. Nat Rev Cancer 2:113–123

    Article  Google Scholar 

  2. Couch FJ, Nathanson KL, Offit K (2014) Two decades after BRCA: setting paradigms in personalized cancer care and prevention. Science 343:1466–1470

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Miki Y, Swensen J, Shattuck-Eidens D, Futreal PA, Harshman K, Tavtigian S, Liu Q, Cochran C, Bennett LM, Ding W et al (1994) A strong candidate for the breast and ovarian cancer susceptibility gene BRCA1. Science 266:66–71

    Article  CAS  PubMed  Google Scholar 

  4. Wooster R, Bignell G, Lancaster J, Swift S, Seal S, Mangion J, Collins N, Gregory S, Gumbs C, Micklem G (1995) Identification of the breast cancer susceptibility gene BRCA2. Nature 378:789–792

    Article  CAS  PubMed  Google Scholar 

  5. Cybulski C, Carrot-Zhang J, Kluzniak W, Rivera B, Kashyap A, Wokolorczyk D, Giroux S, Nadaf J, Hamel N, Zhang S et al (2015) Germline RECQL mutations are associated with breast cancer susceptibility. Nat Genet 47:643–646

    Article  CAS  PubMed  Google Scholar 

  6. Sun J, Wang Y, Xia Y, Xu Y, Ouyang T, Li J, Wang T, Fan Z, Fan T, Lin B et al (2015) Mutations in RECQL gene are associated with predisposition to breast cancer. PLoS Genet 11:e1005228

    Article  PubMed  PubMed Central  Google Scholar 

  7. Li H (2014) Toward better understanding of artifacts in variant calling from high-coverage samples. Bioinformatics 30:2843–2851

    Article  PubMed  PubMed Central  Google Scholar 

  8. Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, Marth G, Abecasis G, Durbin R, 1000 Genome Project Data Processing Subgroup (2009) The sequence alignment/map format and SAMtools. Bioinformatics 25:2078–2079

    Article  PubMed  PubMed Central  Google Scholar 

  9. DePristo MA, Banks E, Poplin R, Garimella KV, Maguire JR, Hartl C, Philippakis AA, del Angel G, Rivas MA et al (2011) A framework for variation discovery and genotyping using next-generation DNA sequencing data. Nat Genet 43:491–498

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. McLaren W, Pritchard B, Rios D, Chen Y, Flicek P, Cunningham F (2010) Deriving the consequences of genomic variants with the Ensembl API and SNP Effect Predictor. Bioinformatics 26:2069–2070

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Kumar P, Henikoff S, Ng PC (2009) Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm. Nat Protoc 4:1073–1081

    Article  CAS  PubMed  Google Scholar 

  12. Adzhubei I, Jordan DM, Sunyaev SR (2013) Predicting functional effect of human missense mutations using PolyPhen-2. Curr Protoc Hum Genet. doi:10.1002/0471142905.hg0720s76

  13. Croteau DL, Popuri V, Opresko PL, Bohr VA (2014) Human RecQ helicases in DNA repair, recombination, and replication. Annu Rev Biochem 83:519–552

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Popuri V, Hsu J, Khadka P, Horvath K, Liu Y, Croteau DL, Bohr VA (2014) Human RECQL1 participates in telomere maintenance. Nucleic Acids Res 42:5671–5688

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Bernstein KA, Gangloff S, Rothstein R (2010) The RecQ DNA helicases in DNA repair. Annu Rev Genet 44:393–417

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Chu WK, Hickson ID (2009) RecQ helicases: multifunctional genome caretakers. Nat Rev Cancer 9:644–654

    Article  CAS  PubMed  Google Scholar 

  17. Watt PM, Hickson ID, Borts RH, Louis EJ (1996) SGS1, a homologue of the Bloom’s and Werner’s syndrome genes, is required for maintenance of genome stability in Saccharomyces cerevisiae. Genetics 144:935–945

    CAS  PubMed  PubMed Central  Google Scholar 

  18. Kitao S, Shimamoto A, Goto M, Miller RW, Smithson WA, Lindor NM, Furuichi Y (1999) Mutations in RECQL4 cause a subset of cases of Rothmund–Thomson syndrome. Nat Genet 22:82–84

    Article  CAS  PubMed  Google Scholar 

  19. Hanada K, Hickson ID (2007) Molecular genetics of RecQ helicase disorders. Cell Mol Life Sci 64:2306–2322

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgments

This study was supported by Dr Ellen Li Charitable Foundation, Kerry Kuok Foundation, Health and Medical Research Fund (1123176) and Hong Kong Hereditary Breast Cancer Family Registry. We thank Fian B.F. Law, Bui K. Ip, Anthony T.C. Wong, Gigi Choy, Wing Pan Luk and Ling Hiu Fung from Hong Kong Sanatorium & Hospital for assisting in sequencing data processing and statistical analysis. We also like to thank Dr Dacita Suen, Dr Clement Chen, Dr KK Ma, Dr Lorraine Chow, Dr Annie Chu, Jennifer Siu, Desiree Tse, Winner Cheng and Wong Ling from Department of Surgery, The University of Hong Kong, and members of the Hong Kong Breast cancer research groups from Departments of Surgery and Oncology of contributing Hospitals in Hong Kong.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ava Kwong.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (XLS 26 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kwong, A., Shin, V.Y., Cheuk, I.W.Y. et al. Germline RECQL mutations in high risk Chinese breast cancer patients. Breast Cancer Res Treat 157, 211–215 (2016). https://doi.org/10.1007/s10549-016-3784-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10549-016-3784-1

Keywords

Navigation