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From Correlation to Causality: Microarrays, Cancer, and Cancer Treatment
O'Neill, Geraldine M. Catchpoole, Daniel R.
O'Neill, Geraldine M.
Catchpoole, Daniel R.
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Journal article
Date
2003-03
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Cancer and Cellular Biology
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http://dx.doi.org/10.2144/mar03oneil
Abstract
The clinical treatment of cancer is in the process of a great leap forward, with the use of microarray-based technologies holding the promise to derive previously unobtainable insights into many aspects of disease pathogenesis. In surveying the past five years of progress, it is apparent that use of microarrays to query tumor samples and matching model systems can provide useful information concerning tumor classification, prognosis, and response to drug treatment. Further uses of microarrays in cancer biology have been proposed, with particular interest in prospects of this technology to elucidate cancer etiology and identify critical signal transduction pathways relevant to cancer drug development. In this review, we summarize the status of these fields and use insights gleaned from the extensive use of microarrays in studies of gene function versus gene expression profiles in model organisms such as yeast to identify critical issues for ongoing application development.
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O'Neill GM, Catchpoole DR, Golemis EA. From Correlation to Causality: Microarrays, Cancer, and Cancer Treatment. BioTechniques. 2003 Mar;34(3S):S64-S71. doi:10.2144/mar03oneil.
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BioTechniques, Vol. 34, Iss. 3S
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