The capacity of information generated from the Human Genome Project has significantly impacted our understanding of disease pathogenesis (Subramanian et al., 2001; Venter et al., 2001). These data, in combination with advances in molecular biology techniques, including cDNA microarrays and proteomics, have facilitated the identification of numerous molecular biomarkers that have contributed to the field of cancer biology (DeRisi et al., 1996). While cDNA microarrays produce an enormous amount of data from gene expression profiling of normal and disease samples, the technique lacks in situ identification and validation of these diagnostic, prognostic, and therapeutic markers in a wide array of human tissue specimens. The need for this type of high-throughput evaluation led to the development of the tissue microarray (TMA).
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Abd El-Rehim, D.M., Ball, G., Pinder, S.E., Rakha, E., Paish, C., Robertson, J.F., Macmillan, D., Blamey, R.W., and Ellis, I.O. 2005. High-throughput protein expression analysis using tissue microarray technology of a large well-characterised series identifies biologically distinct classes of breast cancer confirming recent cDNA expression analyses. Int. J. Cancer 116: 340–350
Bancroft, J.D., and Stevens, A. 1996. Theory and Practice of Histological Techniques, Churchill Livingstone
Battifora, H. 1986. The multitumor (sausage) tissue block: novel method for immunohis-tochemical antibody testing. Lab. Invest. 55: 244–248
Bertheau, P., Cazals-Hatem, D., Meignin, V., de Roquancourt, A., Verola, O., Lesourd, A., Sene, C., Brocheriou, C., and Janin, A. 1998. Variability of immunohistochemical reactivity on stored paraffin slides. J. Clin. Pathol. 51: 370–374
Callagy, G., Cattaneo, E., Daigo, Y., Happerfield, L., Bobrow, L.G., Pharoah, P.D., and Caldas, C. 2003. Molecular classification of breast carcinomas using tissue microarrays. Diagn. Mol. Pathol. 12: 27–34
Camp, R.L., Charette, L.A., and Rimm, D.L. 2000. Validation of tissue microarray technology in breast carcinoma. Lab. Invest. 80: 1943–1949
Camp, R.L., Chung, G.G, and Rimm, D.L. 2002. Automated subcellular localization and quantification of protein expression in tissue microar-rays. Nat. Med. 8: 1323–1327
Corzo, C., Corominas, J.M., Tusquets, I., Salido, M., Bellet, M., Fabregat, X., Serrano, S., and Sole, F. 2006. The MYC oncogene in breast cancer progression: from benign epithelium to invasive carcinoma. Cancer Genet. Cytogenet. 165: 151–156
DeRisi, J., Penland, L., Brown, P.O., Bittner, M.L., Meltzer, P.S., Ray, M., Chen, Y., Su, Y.A., and Trent, J.M. 1996. Use of a cDNA microarray to analyse gene expression patterns in human cancer. Nat. Genet. 14: 457–460
Dolled-Filhart, M., McCabe, A., Giltnane, J., Cregger, M., Camp, R.L., and Rimm, D.L. 2006. Quantitative in situ analysis of beta-catenin expression in breast cancer shows decreased expression is associated with poor outcome. Cancer Res. 66: 5487–5494
Fergenbaum, J.H., Garcia-Closas, M., Hewitt, S.M., Lissowska, J., Sakoda, L.C., and Sherman, M.E. 2004. Loss of antigenicity in stored sections of breast cancer tissue microarrays. Cancer Epidemiol. Biomark. Prev. 13: 667–672
Gillett, C.E., Springall, R.J., Barnes, D.M., and Hanby, A.M. 2000. Multiple tissue core arrays in histopathology research: a validation study. J. Pathol. 192: 549–553
Giltnane, J.M., and Rimm, D.L. 2004. Technology insight: identification of biomarkers with tissue microarray technology. Nat. Clin. Pract. Oncol. 1: 104–111
Giltnane, J.M., Murren, J.R., Rimm D.L., and King, B.L. 2006. AQUA and FISH analysis of HER-2/neu expression and amplification in a small cell lung carcinoma tissue microarray. Histopathology 49: 161–159
Hoos, A., and Cordon-Cardo, C. 2001. Tissue microarray profiling of cancer specimens and cell lines: opportunities and limitations. Lab. Invest. 81: 1331–1338
Hoos, A., Urist, M.J., Stojadinovic, A., Mastorides, S., Dudas, M.E., Leung, D.H., Kuo, D., Brennan, M.D., Lewis, J.J., and Cordon-Cardo, C. 2001. Validation of tissue microarrays for immunohis-tochemical profiling of cancer specimens using the example of human fibroblastic tumors. Am. J. Pathol. 158: 1245–1251
Jacobs, T.W., Prioleau, J.E., Stillman, I.E., and Schnitt, S.J. 1996. Loss of tumor marker-immunostaining intensity on stored paraffin slides of breast cancer. J. Natl. Cancer Inst. 88: 1054–1059
Kallioniemi, O.P., Kallioniemi, A., Kurisu, W., Thor, A., Chen, L.C., Smith, H.S., Waldman, F.M., Pinkel, D., and Gray, J.W. 1992. ERBB2 amplification in breast cancer analyzed by fluorescence in situ hybridization. Proc. Natl. Acad. Sci. U S A 89: 5321–5325
Kononen, J., Bubendorf, L., Kallioniemi, A., Barlund, M., Schraml, P., Leighton, S., Torhorst, J., Mihatsch, M.J., Sauter, G., and Kallioniemi, O.P. 1998. Tissue microarrays for high-throughput molecular profiling of tumor specimens. Nat. Med. 4: 844–847
Krajewska, M., Olson, A.H., Mercola, D., Reed, J.C., and Krajewski, S. 2007. Claudin-1 immu-nohistochemistry for distinguishing malignant from benign epithelial lesions of prostate. Prostate 67: 907–910
Liu, X., Minin, V., Huang, Y., Seligson, D.B., and Horvath, S. 2004. Statistical methods for analyzing tissue microarray data. J. Biopharm. Stat. 14: 671–685
Makretsov, N. A., Huntsman, D.G., Nielsen, T.O., Yorida, E., Peacock, M., Cheang, M.C., Dunn, S.E., Hayes, M., van de Rijn, M., Bajdik, C., and Gilks, C.B. 2004. Hierarchical clustering analysis of tissue microarray immunostaining data identifies prognostically significant groups of breast carcinoma. Clin. Cancer Res. 10: 6143–6151
Mehra, R., Varambally, S., Ding, L., Shen, R., Sabel, M.S., Ghosh, D., Chinnaiyan, A.M., and Kleer, C.G. 2005. Identification of GATA3 as a breast cancer prognostic marker by global gene expression meta-analysis. Cancer Res. 65: 11259–11264
Nocito, A., Kononen, J., Kallioniemi, O.P., and Sauter, G. 2001. Tissue microarrays (TMAs) for high-throughput molecular pathology research. Int. J. Cancer 94: 1–5
Rhodes, D.R., Sanda, M.G., Otte, A.P., Chinnaiyan, A.M., and Rubin, M.A. 2003. Multiplex biomar-ker approach for determining risk of prostate-specific antigen-defined recurrence of prostate cancer. J. Natl. Cancer Inst. 95: 661–668
Rimm, D.L., Camp, R.L., Charette, L.A., Olsen, D.A., and Provost, E. 2001. Amplification of tissue by construction of tissue microarrays. Exp. Mol. Pathol. 70: 255–264
Rubin, M., Dunn, A.R., Strawderman, M., and Pienta, K.J. 2002. Tissue microarray sampling strategy for prostate cancer biomarker analysis. Am. J. Surg. Pathol. 26: 312–319
Schoenberg Fejzo, M., and Slamon, D.J. 2001. Frozen tumor tissue microarray technology for analysis of tumor RNA, DNA, and proteins. Am. J. Pathol. 159: 1645–1650
Schraml, P., Kononen, J., Bubendorf, L., Moch, H., Bissig, H., Nocito, A., Mihatsch, M.J., Kallioniemi, O.P., and Sauter, G. 1999. Tissue microarrays for gene amplification surveys in many different tumor types. Clin. Cancer. Res. 5: 1966–1975
Shen, D., Nooraie, F., Elshimali, Y., Lonsberry, V., He, J., Bose, S., Chia, D., Seligson, D., Chang, H.R., and Goodglick, L. 2006. Decreased expression of annexin A1 is correlated with breast cancer development and progression as determined by a tissue microarray analysis. Hum. Pathol. 37: 1583–1591
Speel, E.J., Hopman, A.H., and Komminoth, P. 2006. Tyramide signal amplification for DNA and mRNA in situ hybridization. Methods Mol. Biol. 326: 33–60
Stewart, J., Fleshner, N., Cole, H., and Sweet, J. 2007. Comparison of annexin II, p63 and alpha-methylacyl-CoA racemase immunoreactivity in prostatic tissue: a tissue microarray study. J. Clin. Pathol. 60: 773–780
Subramanian, G., Adams, M.D., Venter, J.C., and Broder, S. 2001. Implications of the human genome for understanding human biology and medicine. JAMA 286: 2296–2307
Torhorst, J., Bucher, C., Kononen, J., Haas, P., Zuber, M., Kochli, O.R., Mross, R., Dieterich, H., Moch, H., Mihatsch, M., Kallioniemi, O.P., and Sauter, G. 2001. Tissue microarrays for rapid linking of molecular changes to clinical endpoints. Am. J. Pathol. 159: 2249–2256
Venter, J.C. et al. 2001. The sequence of the human genome. Science 291: 1304–1351
Yang, X.R., Charette, L.A., Garcia-Closas, M., Lissowska, J., Paal, E., Sidawy, M., Hewitt, S.M., Rimm, D.L., and Sherman, M.E. 2006. Construction and validation of tissue microar-rays of ductal carcinoma in situ and terminal duct lobular units associated with invasive breast carcinoma. Diagn. Mol. Pathol. 15: 157–161
Yang, X.R., Sherman, M.E., Rimm, D.L., Lissowska, J., Brinton, L.A., Peplonska, B., Hewitt, S.M., Anderson, W.F., Szeszenia-Dabrowska, N., Bardin-Mikolajczak, A., Zatonski, W., Cartun, R., Mandich, D., Rymkiewicz, G., Ligaj, M., Lukaszek, S., Kordek, R., and Garcia-Closas, M. 2007. Differences in risk factors for breast cancer molecular subtypes in a population-based study. Cancer Epidemiol. Biomark. Prev. 16: 439–443
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Mumenthaler, S.M. et al. (2008). Tissue Microarrays: Construction and Utilization for Biomarker Studies. In: Hayat, M.A. (eds) Methods of Cancer Diagnosis, Therapy and Prognosis. Methods of Cancer Diagnosis, Therapy and Prognosis, vol 1. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-8369-3_17
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