Journal of Shanghai University(Natural Science Edition)

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Application of Significance Analysis of Microarrays in Analyzing Feature of Burkitt Lymphoma Staging

GAO Shan, ZHANG Hong, YIN Jing-yuan   

  1. School of Life Sciences, Shanghai University, Shanghai 200444, China
  • Received:2006-12-11 Revised:1900-01-01 Online:2008-02-28 Published:2008-02-28
  • Contact: YIN Jing-yuan

Abstract: Based on a set of gene expression data of Burkitt lymphoma, the method
of significance analysis of microarrays (SAM) was used to select a group of 90 feature genes significantly related with AnnArbor staging of Burkitt lymphoma. Nine genes have been found most frequently appear in involved pathways of those 90 feature genes, falling into the Gene Ontology (GO) category of signal transduction and having common functions related with mechanisms of tumor origin or development. In those functions, two functions related with worse development of Burkitt lymphoma were first reported.

Key words: Burkitt lymphoma, cancer staging, f
eature gene,
significance analysis of microarrays, gene expression profile

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