Display options
Share it on

Biomark Insights. 2010 Nov 28;5:129-38. doi: 10.4137/BMI.S6184.

Biological functions of the genes in the mammaprint breast cancer profile reflect the hallmarks of cancer.

Biomarker insights

Sun Tian, Paul Roepman, Laura J Van't Veer, Rene Bernards, Femke de Snoo, Annuska M Glas

Affiliations

  1. Agendia BV, Science Park 406, 1098 XH Amsterdam, The Netherlands.

PMID: 21151591 PMCID: PMC2999994 DOI: 10.4137/BMI.S6184

Abstract

BACKGROUND: MammaPrint was developed as a diagnostic tool to predict risk of breast cancer metastasis using the expression of 70 genes. To better understand the tumor biology assessed by MammaPrint, we interpreted the biological functions of the 70-genes and showed how the genes reflect the six hallmarks of cancer as defined by Hanahan and Weinberg.

RESULTS: We used a bottom-up system biology approach to elucidate how the cellular processes reflected by the 70-genes work together to regulate tumor activities and progression. The biological functions of the genes were analyzed using literature research and several bioinformatics tools. Protein-protein interaction network analyses indicated that the 70-genes form highly interconnected networks and that their expression levels are regulated by key tumorigenesis related genes such as TP53, RB1, MYC, JUN and CDKN2A. The biological functions of the genes could be associated with the essential steps necessary for tumor progression and metastasis, and cover the six well-defined hallmarks of cancer, reflecting the acquired malignant characteristics of a cancer cell along with tumor progression and metastasis-related biological activities.

CONCLUSION: Genes in the MammaPrint gene signature comprehensively measure the six hallmarks of cancer-related biology. This finding establishes a link between a molecular signature and the underlying molecular mechanisms of tumor cell progression and metastasis.

Keywords: bioinformatics; breast cancer; functional annotation; gene signature; tumor biology

References

  1. BMC Genomics. 2006 Oct 30;7:278 - PubMed
  2. Nature. 2002 Jan 31;415(6871):530-6 - PubMed
  3. Cancer Cell. 2009 Jan 6;15(1):9-20 - PubMed
  4. Breast Cancer Res. 2003;5(1):57-8 - PubMed
  5. J Cell Biol. 2006 Mar 27;172(7):973-81 - PubMed
  6. J Mol Biol. 2001 Jan 19;305(3):567-80 - PubMed
  7. Carcinogenesis. 2008 Jun;29(6):1092-5 - PubMed
  8. Surg Oncol. 2009 Dec;18(4):366-78 - PubMed
  9. Cancer Metastasis Rev. 2007 Jun;26(2):281-90 - PubMed
  10. Nat Rev Cancer. 2003 Oct;3(10):781-9 - PubMed
  11. Nat Med. 2003 Aug;9(8):999-1000 - PubMed
  12. Protein Eng. 1997 Jan;10(1):1-6 - PubMed
  13. Clin Exp Metastasis. 2009;26(4):273-87 - PubMed
  14. Nucleic Acids Res. 2008 Jan;36(Database issue):D281-8 - PubMed
  15. Nucleic Acids Res. 1997 Sep 1;25(17):3389-402 - PubMed
  16. Nucleic Acids Res. 2004 Jan 1;32(Database issue):D142-4 - PubMed
  17. Cell. 2000 Jan 7;100(1):57-70 - PubMed
  18. Crit Rev Oncog. 1993;4(5):493-540 - PubMed
  19. Nat Med. 2006 Aug;12(8):895-904 - PubMed
  20. Science. 1998 Aug 28;281(5381):1309-12 - PubMed
  21. Cancer Cell. 2008 Jun;13(6):472-82 - PubMed
  22. Cold Spring Harb Symp Quant Biol. 2005;70:291-7 - PubMed
  23. Cell. 2000 Aug 18;102(4):407-10 - PubMed
  24. N Engl J Med. 2002 Dec 19;347(25):1999-2009 - PubMed
  25. J Mol Biol. 1990 Oct 5;215(3):403-10 - PubMed
  26. Nature. 2002 Aug 22;418(6900):823 - PubMed

Publication Types