Applications of Proteomics to Clinical Questions in Breast Cancer

  • Ebony Boyce
  • Elise C. Kohn
  • Gordon B. Mills

Keywords

Breast Cancer Epidermal Growth Factor Receptor Proliferate Cell Nuclear Antigen Translationally Control Tumor Protein Protein Microarrays 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Aprelikova, O., A. J. Pace, et al. (2001). BRCA1 is a selective co-activator of 14-3-3 sigma gene transcription in mouse embryonic stem cells. J Biol Chem 276(28): 25647–50.PubMedCrossRefGoogle Scholar
  2. 2.
    Banks, R. E., M. J. Dunn, et al. (2000). Proteomics: new perspectives, new biomedical opportunities. Lancet 356(9243): 1749–56.PubMedCrossRefGoogle Scholar
  3. 3.
    Bischoff, R., T. M. Luider (2004). Methodological advances in the discovery of protein and peptide disease markers. J Chromatogr B Analyt Technol Biomed Life Sci 803(1): 27–40.PubMedCrossRefGoogle Scholar
  4. 4.
    Blanckaert, V. D., M. Hebbar, et al. (1998). Basic fibroblast growth factor receptors and their prognostic value in human breast cancer. Clin Cancer Res 4(12): 2939–47.PubMedGoogle Scholar
  5. 5.
    Chan, D. W., R. A. Beveridge, et al. (1997). Use of Truquant BR radioimmunoassay for early detection of breast cancer recurrence in patients with stage II and stage III disease. J Clin Oncol 15(6): 2322–8.PubMedGoogle Scholar
  6. 6.
    Chaurand P, S. S., Caprioli R. M. (2004). Assessing protein patterns in disease using imaging mass spectrometry. J Proteome Res 3(2): 245–52.PubMedCrossRefGoogle Scholar
  7. 7.
    Chen, S. T., T. L. Pan, et al. (2002). Proteomics reveals protein profile changes in doxorubicin-treated MCF-7 human breast cancer cells. Cancer Lett 181(1): 95–107.PubMedCrossRefGoogle Scholar
  8. 8.
    Clarke, W., Z. Zhang, et al. (2003). The application of clinical proteomics to cancer and other diseases. Clin Chem Lab Med 41(12): 1562–70.PubMedCrossRefGoogle Scholar
  9. 9.
    Cobleigh, M. A., C. L. Vogel, et al. (1999). Multinational study of the efficacy and safety of humanized anti-HER2 monoclonal antibody in women who have HER2-overexpressing metastatic breast cancer that has progressed after chemotherapy for metastatic disease. J Clin Oncol 17(9): 2639–48.PubMedGoogle Scholar
  10. 10.
    Colomer, R., L. A. Shamon, et al. (2001). Herceptin: from the bench to the clinic. Cancer Invest 19(1): 49–56.PubMedCrossRefGoogle Scholar
  11. 11.
    Descamps, S., X. Lebourhis, et al. (1998). Nerve growth factor is mitogenic for cancerous but not normal human breast epithelial cells. J Biol Chem 273(27): 16659–62.PubMedCrossRefGoogle Scholar
  12. 12.
    Elmore, J. G., M. B. Barton, et al. (1998). Ten-year risk of false positive screening mammograms and clinical breast examinations. N Engl J Med 338(16): 1089–96.PubMedCrossRefGoogle Scholar
  13. 13.
    Espina, V., A. I. Mehta, et al. (2003). Protein microarrays: molecular profiling technologies for clinical specimens. Proteomics 3(11): 2091–100.PubMedCrossRefGoogle Scholar
  14. 14.
    Esteva, F. J., G. N. Hortobagyi (2004). Prognostic molecular markers in early breast cancer. Breast Cancer Res 6(3): 109–18.PubMedCrossRefGoogle Scholar
  15. 15.
    Fu, H., R. R. Subramanian, et al. (2000). 14-3-3 proteins: structure, function, and regulation. Annu Rev Pharmacol Toxicol 40: 617–47.PubMedCrossRefGoogle Scholar
  16. 16.
    Hanash, S. (2004). The role of proteomic analyses in breast cancer. Pathogen Breast Cancer.Google Scholar
  17. 17.
    Hondermarck, H., L. Dolle, et al. (2002). Functional proteomics of breast cancer for signal pathway profiling and target discovery. J Mammary Gland Biol Neoplasia 7(4): 395–405.PubMedCrossRefGoogle Scholar
  18. 18.
    Hondermarck, H., A. S. Vercoutter-Edouart, et al. (2001). Proteomics of breast cancer for marker discovery and signal pathway profiling. Proteomics 1(10): 1216–32.PubMedCrossRefGoogle Scholar
  19. 19.
    Hu, H., H. Brzeski, et al. (2004). Biomedical informatics: development of a comprehensive data warehouse for clinical and genomic breast cancer research. Pharmacogenomics 5(7): 933–41.PubMedCrossRefGoogle Scholar
  20. 20.
    Jain, K. K. (2004). Applications of biochips: from diagnostics to personalized medicine. Curr Opin Drug Discov Devel 7(3): 285–9.PubMedGoogle Scholar
  21. 21.
    Jeffrey, S. S., J. R. Pollack (2003). The diagnosis and management of pre-invasive breast disease: promise of new technologies in understanding pre-invasive breast lesions. Breast Cancer Res 5(6): 320–8.PubMedCrossRefGoogle Scholar
  22. 22.
    Jemal, A., A. Thomas, et al. (2002). Cancer statistics, 2002. CA Cancer J Clin 52(1): 23–47.PubMedCrossRefGoogle Scholar
  23. 23.
    Laronga, C., H. Y. Yang, et al. (2000). Association of the cyclin-dependent kinases and 14-3-3 sigma negatively regulates cell cycle progression. J Biol Chem 275(30): 23106–12.PubMedCrossRefGoogle Scholar
  24. 24.
    Li, J., Z. Zhang, et al. (2002). Proteomics and bioinformatics approaches for identification of serum biomarkers to detect breast cancer. Clin Chem 48(8): 1296–304.PubMedGoogle Scholar
  25. 25.
    Liotta, L. A., M. Ferrari, et al. (2003). Clinical proteomics: written in blood. Nature 425(6961): 905.PubMedCrossRefGoogle Scholar
  26. 26.
    Liu, J. F., E. Chevet, et al. (1999). Functional Rac-1 and Nck signaling networks are required for FGF-2-induced DNA synthesis in MCF-7 cells. Oncogene 18(47): 6425–33.PubMedCrossRefGoogle Scholar
  27. 27.
    Majid AS, d. P. E., Doherty RD, Sharma NR, Salvador X. (2003). Missed breast carcinoma: pitfalls and pearls. Radiographics 23(4): 881–95.PubMedCrossRefGoogle Scholar
  28. 28.
    McCallum, M., C. Baker, et al. (2004). A prognostic index for operable, node-negative breast cancer. Br J Cancer 90(10): 1933–41.PubMedCrossRefGoogle Scholar
  29. 29.
    Nurcombe, V., C. E. Smart, et al. (2000). The proliferative and migratory activities of breast cancer cells can be differentially regulated by heparan sulfates. J Biol Chem 275(39): 30009–18.PubMedCrossRefGoogle Scholar
  30. 30.
    Pandey, A., A. V. Podtelejnikov, et al. (2000). Analysis of receptor signaling pathways by mass spectrometry: identification of vav-2 as a substrate of the epidermal and platelet-derived growth factor receptors. Proc Natl Acad Sci U S A 97(1): 179–84.PubMedCrossRefGoogle Scholar
  31. 31.
    Paweletz, C. P., B. Trock, et al. (2001). Proteomic patterns of nipple aspirate fluids obtained by SELDI-TOF: potential for new biomarkers to aid in the diagnosis of breast cancer. Dis Markers 17(4): 301–7.PubMedGoogle Scholar
  32. 32.
    Peng, C. Y., P. R. Graves, et al. (1997). Mitotic and G2 checkpoint control: regulation of 14-3-3 protein binding by phosphorylation of Cdc25C on serine-216. Science 277(5331): 1501–5.PubMedCrossRefGoogle Scholar
  33. 33.
    Petricoin, E., V. E. Bischel, et al. (2005). Mapping Molecular Networks using Proteomics: a vision for patient-tailored combination therapy. J Clin Oncol 23(15): 3614–21.PubMedCrossRefGoogle Scholar
  34. 34.
    Petricoin, E. E., C. P. Paweletz, et al. (2002). Clinical applications of proteomics: proteomic pattern diagnostics. J Mammary Gland Biol Neoplasia 7(4): 433–40.PubMedCrossRefGoogle Scholar
  35. 35.
    Petricoin, E. F., A. M. Ardekani, et al. (2002). Use of proteomic patterns in serum to identify ovarian cancer. Lancet 359(9306): 572–7.PubMedCrossRefGoogle Scholar
  36. 36.
    Petricoin, E. F., L. A. Liotta (2004). SELDI-TOF-based serum proteomic pattern diagnostics for early detection of cancer. Curr Opin Biotechnol 15(1): 24–30.PubMedCrossRefGoogle Scholar
  37. 37.
    Pusztai, L., B. W. Gregory, et al. (2004). Pharmacoproteomic analysis of prechemotherapy and postchemotherapy plasma samples from patients receiving neoadjuvant or adjuvant chemotherapy for breast carcinoma. Cancer 100(9): 1814–22.PubMedCrossRefGoogle Scholar
  38. 38.
    Rahmoune, H., H. L. Chen, et al. (1998). Interaction of heparan sulfate from mammary cells with acidic fibroblast growth factor (FGF) and basic FGF. Regulation of the activity of basic FGF by high and low affinity binding sites in heparan sulfate. J Biol Chem 273(13): 7303–10.PubMedCrossRefGoogle Scholar
  39. 39.
    Sauter, E. R., W. Zhu, et al. (2002). Proteomic analysis of nipple aspirate fluid to detect biologic markers of breast cancer. Br J Cancer 86(9): 1440–3.PubMedCrossRefGoogle Scholar
  40. 40.
    Sell, S. (1990). Cancer markers of the 1990s. Comparison of the new generation of markers defined by monoclonal antibodies and oncogene probes to prototypic markers. Clin Lab Med 10(1): 1–37.PubMedGoogle Scholar
  41. 41.
    Shin, B. K., H. Wang, et al. (2002). Proteomics approaches to uncover the repertoire of circulating biomarkers for breast cancer. J Mammary Gland Biol Neoplasia 7(4): 407–13.PubMedCrossRefGoogle Scholar
  42. 42.
    Slamon D. J., B. Leyland-Jones, et al. (2001) Use of chemotherapy plus a monoclonal antibody against HER2 for metastatic breast cancer that overexpresses HER2. N Engl J Med 344(11): 783–92.PubMedCrossRefGoogle Scholar
  43. 43.
    Souchelnytskyi, S. (2002). Proteomics in studies of signal transduction in epithelial cells. J Mammary Gland Biol Neoplasia 7(4): 359–71.PubMedCrossRefGoogle Scholar
  44. 44.
    Varnum, S. M., C. C. Covington, et al. (2003). Proteomic characterization of nipple aspirate fluid: identification of potential biomarkers of breast cancer. Breast Cancer Res Treat 80(1): 87–97.PubMedCrossRefGoogle Scholar
  45. 45.
    Vercoutter-Edouart, A. S., X. Czeszak, et al. (2001). Proteomic detection of changes in protein synthesis induced by fibroblast growth factor-2 in MCF-7 human breast cancer cells. Exp Cell Res 262(1): 59–68.PubMedCrossRefGoogle Scholar
  46. 46.
    Vercoutter-Edouart, A. S., J. Lemoine, et al. (2001). Proteomic analysis reveals that 14-3-3sigma is down-regulated in human breast cancer cells. Cancer Res 61(1): 76–80.PubMedGoogle Scholar
  47. 47.
    Wright, G. L., Jr. (1974). Two-dimensional acrylamide gel electrophoresis of cancer-patient serum proteins. Ann Lab Sci 4: 281–293.Google Scholar
  48. 48.
    Wulfkuhle, J. D., J. A. Aquino, et al. (2003). Signal pathway profiling of ovarian cancer from human tissue specimens using reverse-phase protein microarrays. Proteomics 3(11): 2085–90.PubMedCrossRefGoogle Scholar
  49. 49.
    Wulfkuhle, J. D., K. C. McLean, et al. (2001). New approaches to proteomic analysis of breast cancer. Proteomics 1(10): 1205–15.PubMedCrossRefGoogle Scholar
  50. 50.
    Wulfkuhle, J. D., D. C. Sgroi, et al. (2002). Proteomics of human breast ductal carcinoma in situ. Cancer Res 62(22): 6740–9.PubMedGoogle Scholar
  51. 51.
    Yazidi-Belkoura, I. E., E. Adriaenssens, et al. (2002). Proteomics of breast cancer: outcomes and prospects. Technol Cancer Res Treat 1(4): 287–96.PubMedGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Ebony Boyce
    • 1
  • Elise C. Kohn
    • 1
  • Gordon B. Mills
    • 2
  1. 1.Laboratory of PathologyNational Cancer InstituteBethesdaUSA
  2. 2.Molecular TherapeuticsMD Anderson Cancer CenterHoustonUSA

Personalised recommendations