Literature DB >> 15541959

Gene expression microarray technologies in the development of new therapeutic agents.

Paul A Clarke1, Robert te Poele, Paul Workman.   

Abstract

We review in detail how gene expression microarray technology is benefiting all phases of the discovery, development and subsequent use of new cancer therapeutics. Global gene expression profiling is valuable in cancer classification, elucidation of biochemical pathways and the identification of potential targets for novel molecular therapeutics. We exemplify the value in tissue culture and animal models of cancer, as well as in clinical studies. The power of expression profiling alongside gene knockout or knockdown methods such as RNA interference is illustrated. The use of basal or constitutive gene expression profiling to understand and predict drug sensitivity or resistance is described. The ability of expression profiling to define detailed molecular signatures of drug action is emphasised. The approach can identify on-target and off-target effects. It can be used to identify molecular biomarkers for proof of concept studies, pharmacodynamic endpoints and prognostic markers for predicting outcome and patient selection.

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Year:  2004        PMID: 15541959     DOI: 10.1016/j.ejca.2004.07.024

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  9 in total

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Review 3.  Metabolic engineering in the -omics era: elucidating and modulating regulatory networks.

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Journal:  Cell Chem Biol       Date:  2019-01-10       Impact factor: 8.116

5.  Cellular response of polyvalent oligonucleotide-gold nanoparticle conjugates.

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Journal:  ACS Nano       Date:  2010-10-26       Impact factor: 15.881

6.  A microarray study of altered gene expression in colorectal cancer cells after treatment with immunomodulatory drugs: differences in action in vivo and in vitro.

Authors:  Wai M Liu; Holger Laux; Jake Y Henry; Thomas B Bolton; Angus G Dalgleish; Christine Galustian
Journal:  Mol Biol Rep       Date:  2009-07-14       Impact factor: 2.316

7.  Therapeutic potential of RNA interference in pain medicine.

Authors:  Ping-Heng Tan; Lin-Cheng Yang; Ru-Rong Ji
Journal:  Open Pain J       Date:  2009-01-01

8.  Ensemble Classification of Cancer Types and Biomarker Identification.

Authors:  Hussein Hijazi; Ming Wu; Aritro Nath; Christina Chan
Journal:  Drug Dev Res       Date:  2012-11       Impact factor: 4.360

Review 9.  Is there a role of synovial biopsy in drug development?

Authors:  Maria Filkova; Andrew Cope; Tim Mant; James Galloway
Journal:  BMC Musculoskelet Disord       Date:  2016-04-19       Impact factor: 2.362

  9 in total

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