Skip to main content

Optimization of High Resolution Melting (HRM) Method for Genotyping and Estimating Frequency of SNP rs4284505 in the Vietnamese Breast Cancer

  • Conference paper
  • First Online:
7th International Conference on the Development of Biomedical Engineering in Vietnam (BME7) (BME 2018)

Part of the book series: IFMBE Proceedings ((IFMBE,volume 69))

  • 1226 Accesses

Abstract

Breast cancer is one of the most common and dangerous disease among women throughout the world whose incidence continues to increase rapidly, particularly in several Asian countries. Among well—known causative breast cancer genes like: BRCA1/2, PTEN, p53…, microRNAs (miRNAs), recently, have been proven to play a critical role in breast cancer development and can serve as a new potential biomarker for breast cancer detection. SNP rs4284505 located on miRNA 17–92 cluster host gene exhibits the strong association with breast cancer in Caucasian Australian. In this study, SNP rs4284505 is investigated to determine whether it can relate to breast cancer in Vietnamese patients. High Resolution Melting (HRM) method has been optimized to screen selected SNP, aiming at predicting the correlation of the chosen SNP and breast cancer in Vietnam. 100 breast cancer samples were examined. The optimal HRM protocol was constructed with high sensitivity (95%), specificity and stability. The polymorphism of SNP rs4284505 does occur in Vietnamese population with the MAF (G) = 44.27%. The G allele seems likely to have the protective effect to breast cancer [OR (95%CI) = 0.80 (0.54–1.18)]. Nevertheless, this SNP is predicted not to be associated with breast cancer risk (p-value >0.05) due to small size and the computed control. Because of high polymorphism in patients, a further research should be conducted in a larger scale and in a suitable control group to validate the relationship between SNP rs4284505 and breast cancer in Vietnam.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Maxmen, A.: The hard facts. Nature 485(7400), S50 (2012)

    Google Scholar 

  2. McCormack, V.A., Boffetta, P.: Today’s lifestyles, tomorrow’s cancers: trends in lifestyle risk factors for cancer in low- and middle-income countries. Ann. Oncol. 22, 2349–2357 (2011)

    Google Scholar 

  3. Oldenburg, R.e.a.: Genetic susceptibility for breast cancer: how many more genes to be found? Crit. Rev. Oncol./Hematol. 63(2), 125–149 (2007)

    Google Scholar 

  4. Esquela-Kerscher, A., Slack, F.J.: Oncomirs–microRNAs with a role in cancer. Nat. Rev. Cancer 6(4), 259 (2006)

    Article  Google Scholar 

  5. Chacon-Cortes, D., et al.: Association of microRNA 17–92 cluster host gene (MIR17HG) polymorphisms with breast cancer. Tumor Biol. 36(7), 5369–5376 (2015)

    Article  Google Scholar 

  6. Yu, Z., Wang, C., Wang, M., Li, Z., Casimiro, M.C., Liu, M., Wu, K., Whittle, J., Ju, X., Hyslop, T., McCue, P., Pestell, R.G.: A cyclin D1/microRNA 17/20 regulatory feedback loop in control of breast cancer cell proliferation. Cell Biol. 182, 509–517 (2008)

    Google Scholar 

  7. Leivonen, S.-K., Makela, R., Ostling, P., Kohonen, P., Haapa-Paananen, S., Kleivi, K., Enerly, E., Aakula, A., Hellstrom, K., Sahlberg, N., Kristensen, V.N., Borresen-Dale, A.-L., Saviranta, P., Perala, M., Kallioniemi, O.: Protein lysate microarray analysis to identify microRNAs regulating estrogen receptor signaling in breast cancer cell lines. Oncogene 28, 3926–3936 (2009)

    Google Scholar 

  8. Hossain, A., Kuo, M.T., Saunders, G.F.: Mir-17-5p regulates breast cancer cell proliferation by inhibiting translation of AIB1 mRNA. Mol. Cell. Biol. 26(21), 8191–8201 (2006)

    Article  Google Scholar 

  9. Reed, G.H., Kent, J.O., Wittwer, C.T.: High-resolution DNA melting analysis for simple and efficient molecular diagnostics. Pharmacogenomics 8, 597–609 (2007)

    Google Scholar 

  10. Hue, N.T., et al.: Extraction of human genomic DNA from dried blood spots and hair roots. Int. J. Biosci. Biochem. Bioinform. 2(1), 21 (2012)

    Google Scholar 

Download references

Acknowledgements

We are appreciated all physicians and staffs of Oncology Hospital of Ho Chi Minh City, Vietnam for providing blood samples. This research is funded by NAFOSTED under grant code 106-YS.01-2013.09.

Conflict of Interest Statement We declare that there is no conflict of interest in this study.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hoang Mai Le Nguyen .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Nguyen, H.M.L., Nguyen, T.N., Nguyen, D.T.G., Nguyen, T.N.T., Nguyen, T.H. (2020). Optimization of High Resolution Melting (HRM) Method for Genotyping and Estimating Frequency of SNP rs4284505 in the Vietnamese Breast Cancer. In: Van Toi , V., Le, T., Ngo, H., Nguyen, TH. (eds) 7th International Conference on the Development of Biomedical Engineering in Vietnam (BME7). BME 2018. IFMBE Proceedings, vol 69. Springer, Singapore. https://doi.org/10.1007/978-981-13-5859-3_48

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-5859-3_48

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-5858-6

  • Online ISBN: 978-981-13-5859-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics