Literature DB >> 17161676

Microarrays to identify new therapeutic strategies for cancer.

Christopher Sears1, Scott A Armstrong.   

Abstract

Over the past decade, microarrays have emerged as an important tool for the characterization of cancer cells. Numerous studies have demonstrated that cDNA arrays can help delineate biological subsets of disease that have prognostic relevance. Such studies provide hope that introduction of this information into clinical trials will lead to more biologically based stratification schemes such that appropriately tailored therapies can be developed. While the identification of unique subsets of cancer promises to improve our ability to predict which cancers are unlikely to have a significant response to therapy, new therapeutic approaches are needed in most cases. The wealth of information that comes from microarray analysis of cancer likely holds the information necessary to develop such approaches. This chapter will provide examples where microarray analysis has been used in an attempt to either direct the use of current therapies or identify new potential therapeutic avenues.

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Year:  2007        PMID: 17161676     DOI: 10.1016/S0065-230X(06)96003-5

Source DB:  PubMed          Journal:  Adv Cancer Res        ISSN: 0065-230X            Impact factor:   6.242


  3 in total

Review 1.  Diagnostic microarrays in hematologic oncology: applications of high- and low-density arrays.

Authors:  Tatyana V Nasedkina; Natalia A Guseva; Olga A Gra; Olga N Mityaeva; Alexander V Chudinov; Alexander S Zasedatelev
Journal:  Mol Diagn Ther       Date:  2009       Impact factor: 4.074

2.  Integration of gene chip and topological network techniques to screen a candidate biomarker gene (CBG) for predication of the source water carcinogenesis risks on mouse Mus musculus.

Authors:  Jie Sun; Shupei Cheng; Aimin Li; Rui Zhang; Bing Wu; Yan Zhang; Xuxiang Zhang
Journal:  Ecotoxicology       Date:  2011-05-04       Impact factor: 2.823

Review 3.  DNA repair of oxidative DNA damage in human carcinogenesis: potential application for cancer risk assessment and prevention.

Authors:  Tamar Paz-Elizur; Ziv Sevilya; Yael Leitner-Dagan; Dalia Elinger; Laila C Roisman; Zvi Livneh
Journal:  Cancer Lett       Date:  2008-04-18       Impact factor: 8.679

  3 in total

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