Literature DB >> 10904257

Cancer classification with DNA microarrays is less more?

R Wooster1.   

Abstract

The dissection of cancer and the underlying molecular processes that are defective in cancer cells has become an important tool in the fight against this disease. DNA microarrays can provide detailed information of the expression pattern of thousands of genes in tumours. But how much of this data is useful and is some superfluous? Can array data be used to identify a handful of critical genes that will lead to a more-detailed taxonomy of tumours and can this or similar array data be used to predict clinical outcome? Primary tumours will give us the statistical power to draw these conclusions, but can cancer cell lines be used as models to point us in the right direction?

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Year:  2000        PMID: 10904257     DOI: 10.1016/s0168-9525(00)02064-3

Source DB:  PubMed          Journal:  Trends Genet        ISSN: 0168-9525            Impact factor:   11.639


  5 in total

Review 1.  Microarray-based expression profiling of normal and malignant immune cells.

Authors:  Rheem D Medh
Journal:  Endocr Rev       Date:  2002-06       Impact factor: 19.871

2.  Global analysis of gene expression by differential display: a mathematical model.

Authors:  Shitao Yang; Peng Liang
Journal:  Mol Biotechnol       Date:  2004-07       Impact factor: 2.695

3.  Imaging cancer gene activity in patients from outside the body.

Authors:  Eric Wickstrom; Mathew L Thakur
Journal:  Biotechnol Healthc       Date:  2006-02

4.  Application of tissue microarrays to study the influence of dexamethasone on NF-kappaB expression of pancreas in rat with severe acute pancreatitis.

Authors:  Xi Ping Zhang; Ling Zhang; Hong Miao Xu; Yan Ping Xu; Qi Hui Cheng; Jian Mei Wang; Hai Ping Shen
Journal:  Dig Dis Sci       Date:  2007-06-16       Impact factor: 3.199

5.  Protein expression profiles indicative for drug resistance of non-small cell lung cancer.

Authors:  M Volm; R Koomägi; J Mattern; T Efferth
Journal:  Br J Cancer       Date:  2002-07-29       Impact factor: 7.640

  5 in total

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