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Assessment of Significance of Novel Proteins in Breast Cancer Using Tissue Microarray Technology

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Mammary Gland Development

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1501))

Abstract

The arraying of formalin-fixed paraffin-embedded (FFPE) tissue, or less commonly frozen tissue, in tissue microarrays (TMAs) is an invaluable method with which to assess the association of novel proteins with a myriad of diseases in large cohorts of patients allowing high throughput evaluation as potential biomarkers. TMAs are most frequently used in cancer studies although they are not limited to this application. The most common method of evaluation of TMAs is via immunohistochemistry (IHC) which is an antibody-based protein localisation method routinely used in the clinical laboratory. However, significant issues still exist with respect to the validation of antibodies for use on TMA sections, with a large number of published studies failing to do so correctly [O’Hurley et al. Mol Oncol, doi:10.1016/j.molonc.2014.03.008, 2014]. Here, we present a method to determine the antibody specificity for use in immunohistochemistry (IHC), as well as the analysis and interpretation of results from an IHC-stained TMA.

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References

  1. Battifora H (1986) The multitumor (sausage) tissue block: novel method for immunohistochemical antibody testing. Lab Invest 55(2):244–248

    CAS  PubMed  Google Scholar 

  2. Kononen J, Bubendorf L, Kallioniemi A, Barlund M, Schraml P, Leighton S, Torhorst J, Mihatsch MJ, Sauter G, Kallioniemi OP (1998) Tissue microarrays for high-throughput molecular profiling of tumor specimens. Nat Med 4(7):844–847

    Article  CAS  PubMed  Google Scholar 

  3. Fergenbaum JH, Garcia-Closas M, Hewitt SM, Lissowska J, Sakoda LC, Sherman ME (2004) Loss of antigenicity in stored sections of breast cancer tissue microarrays. Cancer Epidemiol Biomarkers Prev 13(4):667–672

    CAS  PubMed  Google Scholar 

  4. Pozner-Moulis S, Cregger M, Camp RL, Rimm DL (2007) Antibody validation by quantitative analysis of protein expression using expression of Met in breast cancer as a model. Lab Invest 87(3):251–260. doi:10.1038/labinvest.3700515

    Article  CAS  PubMed  Google Scholar 

  5. Camp RL, Charette LA, Rimm DL (2000) Validation of tissue microarray technology in breast carcinoma. Lab Invest 80(12):1943–1949

    Article  CAS  PubMed  Google Scholar 

  6. Brennan DJ, O'Connor DP, Rexhepaj E, Ponten F, Gallagher WM (2010) Antibody-based proteomics: fast-tracking molecular diagnostics in oncology. Nat Rev Cancer 10(9):605–617. doi:10.1038/nrc2902

    Article  CAS  PubMed  Google Scholar 

  7. Coons AH, Jones RN (1941) Immunological properties of an antibody containing a fluorescent group. Proc Soc Exp Biol Med 47:200–202

    Article  CAS  Google Scholar 

  8. Harris L, Fritsche H, Mennel R, Norton L, Ravdin P, Taube S, Somerfield MR, Hayes DF, Bast RC Jr (2007) American Society of Clinical Oncology 2007 update of recommendations for the use of tumor markers in breast cancer. J Clin Oncol 25(33):5287–5312. doi:10.1200/JCO.2007.14.2364

    Article  CAS  PubMed  Google Scholar 

  9. Springall RJ, Gillett CE (2006) Breast tissue microarrays. Methods Mol Med 120:43–50

    CAS  PubMed  Google Scholar 

  10. O'Hurley G, Sjostedt E, Rahman A, Li B, Kampf C, Ponten F, Gallagher WM, Lindskog C (2014) Garbage in, garbage out: a critical evaluation of strategies used for validation of immunohistochemical biomarkers. Mol Oncol. doi:10.1016/j.molonc.2014.03.008

    PubMed  Google Scholar 

  11. Arnold MM, Srivastava S, Fredenburgh J, Stockard CR, Myers RB, Grizzle WE (1996) Effects of fixation and tissue processing on immunohistochemical demonstration of specific antigens. Biotech Histochem 71(5):224–230

    Article  CAS  PubMed  Google Scholar 

  12. Allred DC, Harvey JM, Berardo M, Clark GM (1998) Prognostic and predictive factors in breast cancer by immunohistochemical analysis. Mod pathol 11(2):155–168

    CAS  PubMed  Google Scholar 

  13. Mulrane L, Rexhepaj E, Penney S, Callanan JJ, Gallagher WM (2008) Automated image analysis in histopathology: a valuable tool in medical diagnostics. Expert Rev Mol Diagn 8(6):707–725

    Article  PubMed  Google Scholar 

  14. Kirkegaard T, Edwards J, Tovey S, McGlynn LM, Krishna SN, Mukherjee R, Tam L, Munro AF, Dunne B, Bartlett JM (2006) Observer variation in immunohistochemical analysis of protein expression, time for a change? Histopathology 48(7):787–794. doi:10.1111/j.1365-2559.2006.02412.x

    Article  CAS  PubMed  Google Scholar 

  15. Clark TG, Bradburn MJ, Love SB, Altman DG (2003) Survival analysis part I: basic concepts and first analyses. Br J Cancer 89(2):232–238. doi:10.1038/sj.bjc.6601118

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Bradburn MJ, Clark TG, Love SB, Altman DG (2003) Survival analysis part II: multivariate data analysis—an introduction to concepts and methods. Br J Cancer 89(3):431–436. doi:10.1038/sj.bjc.6601119

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

Funding is acknowledged from the Irish Research Council for Science, Engineering and Technology (IRCSET), Science Foundation Ireland through the Molecular Therapeutics for Cancer, Ireland Strategic Research Cluster (award 08/SRC/B1410; http://www.mtci.ie) and the Irish Cancer Society Collaborative Cancer Research Centre BREAST-PREDICT grant, CCRC13GAL (http://www.breastpredict.com). No conflicts of interest are declared by the authors.

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Correspondence to Darran P. O’Connor .

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Mulrane, L., Gallagher, W.M., O’Connor, D.P. (2017). Assessment of Significance of Novel Proteins in Breast Cancer Using Tissue Microarray Technology. In: Martin, F., Stein, T., Howlin, J. (eds) Mammary Gland Development. Methods in Molecular Biology, vol 1501. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-6475-8_16

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  • DOI: https://doi.org/10.1007/978-1-4939-6475-8_16

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-6473-4

  • Online ISBN: 978-1-4939-6475-8

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