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JNCI Journal of the National Cancer Institute 2004 96(4):248-249; doi:10.1093/jnci/djh068
© 2004 by Oxford University Press
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© 2004 Oxford University Press

EDITORIALS

Tissue Microarrays for Hypothesis Generation

Ethan Dmitrovsky

Affiliation of author: Departments of Medicine and of Pharmacology and Toxicology, the Norris Cotton Cancer Center, Dartmouth Medical School, Hanover, NH, and Dartmouth-Hitchcock Medical Center, Lebanon, NH.

Correspondence to: Ethan Dmitrovsky, MD, Department of Pharmacology and Toxicology, Remsen 7650, Dartmouth Medical School, Hanover, NH 03755 (e-mail: ethan.dmitrovsky@dartmouth.edu)

The first 10% of the full text of this article appears below.

Decades of hypothesis-driven research have led to the discovery of oncogenes and tumor suppressors that affect carcinogenesis. With the advent of powerful genomic and proteomic microarray techniques, a different scientific paradigm is emerging—one in which hypotheses are generated based on the evaluation of global gene expression in cells or tissues. Tissue microarrays are also useful to interrogate expression, at the mRNA or protein level, of a single or small set of gene products in normal, preneoplastic, or malignant tissues. In this issue of the Journal, Gurrieri et al. (1) used tissue microarrays to analyze comprehensively the mRNA and protein expression profiles of the tumor suppressor PML in diverse cancers of hematopoietic and solid tumor origin. . . . [Full Text of this Article]


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