Literature DB >> 12773747

Clinical application of cDNA microarrays in oncology.

Lajos Pusztai1, Mark Ayers, James Stec, Gabriel N Hortobágyi.   

Abstract

DNA microarrays represent an important new tool to analyze human tissues. The technology enables investigators to measure the expression of several thousand mRNA species simultaneously in a biological specimen. This process, called transcriptional profiling, represents a technological breakthrough in the analysis of biological specimens. It may be used to screen for individual genes that are differentially expressed between normal and diseased tissues in the hope of finding novel targets for drug development or finding new single-gene markers of clinical outcome. Microarrays are also applied to learn about the complex biology of cancer by simultaneously monitoring interactions between hundreds of genes during experimental conditions in vitro or during therapy in vivo. Analysis of gene expression patterns may also be used as a classification tool to sort cancer into various clinically relevant subgroups that is not currently possible with other methods. The first clinically important applications of this technology will likely be its use as a tool to refine diagnosis and improve the accuracy of predictions of prognosis and response to therapy. DNA microarrays in several "proof-of-principle" experiments have demonstrated that they can predict important clinical outcomes, including outcomes that cannot currently be predicted with other methods, but the true clinical utility and the limits of this exciting new technology are yet to be established. This paper reviews the current methodology and applications of this technique as they relate to clinical oncology.

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Year:  2003        PMID: 12773747     DOI: 10.1634/theoncologist.8-3-252

Source DB:  PubMed          Journal:  Oncologist        ISSN: 1083-7159


  13 in total

1.  Diagnostic molecular pathology: current techniques and clinical applications, part I.

Authors:  George J Netto; Rana D Saad; Peter A Dysert
Journal:  Proc (Bayl Univ Med Cent)       Date:  2003-10

Review 2.  Validation and quality control of protein microarray-based analytical methods.

Authors:  Larry J Kricka; Stephen R Master
Journal:  Mol Biotechnol       Date:  2007-08-03       Impact factor: 2.695

3.  Assessing the quality of hybridized RNA in Affymetrix GeneChips using linear regression.

Authors:  Meijuan Li; Cavan Reilly
Journal:  J Biomol Tech       Date:  2008-04

Review 4.  Molecular profiling of hepatocellular carcinomas by cDNA microarray.

Authors:  Lian-Hai Zhang; Jia-Fu Ji
Journal:  World J Gastroenterol       Date:  2005-01-28       Impact factor: 5.742

Review 5.  Genomic markers for decision making: what is preventing us from using markers?

Authors:  Vicky M Coyle; Patrick G Johnston
Journal:  Nat Rev Clin Oncol       Date:  2009-12-15       Impact factor: 66.675

Review 6.  Management of patients with locally advanced breast cancer.

Authors:  Lisa A Newman
Journal:  Curr Oncol Rep       Date:  2004-01       Impact factor: 5.075

7.  Quality assessment of microarray data in a multicenter study.

Authors:  Kellie J Archer; Valeria R Mas; Thomas R O'Brien; Ruth Pfeiffer; Nicole L Lum; Robert A Fisher
Journal:  Diagn Mol Pathol       Date:  2009-03

8.  Interpretation of genomic data: questions and answers.

Authors:  Richard Simon
Journal:  Semin Hematol       Date:  2008-07       Impact factor: 3.851

Review 9.  Lost in translation: problems and pitfalls in translating laboratory observations to clinical utility.

Authors:  Richard Simon
Journal:  Eur J Cancer       Date:  2008-11-01       Impact factor: 9.162

Review 10.  Cell-blocks and other ancillary studies (including molecular genetic tests and proteomics).

Authors:  Vinod B Shidham
Journal:  Cytojournal       Date:  2021-02-22       Impact factor: 2.091

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