Pathway analysis of informative genes from microarray data reveals that metabolism and signal transduction genes distinguish different subtypes of XXXX .

@entity1 @entity2653 @entity706 @entity5 @entity5893 @entity4910 @entity1892 @entity1073 @entity2393 @entity4210
Recent clinicopathological studies identified a unique subgroup of @entity1892 ( @entity1892 ) that expresses @entity5893 on the cell surface. This 'de novo @entity5893 + @entity1892 ' comprises 10% of all @entity1892 and has a poorer prognosis than @entity5893 - @entity1892 . Comparison of gene expression profiles between de novo @entity5893 + DLBCLs and @entity5893 - DLBCLs shows that de novo @entity5893 + @entity1892 expresses high levels of @entity2393 in @entity5 cells and @entity4210 in the vascular cells. On the other hand, comparison between @entity1073 ( @entity1073 ) and DLBCLs expectedly identified @entity4910 as a top feature gene. To gain insight into the molecular pathway differences among the three types of @entity706 , we evaluated the functional categories of groups of genes important for the discrimination among the three groups. We first selected 280 (from 2,142) genes, according to their individual discriminatory power. We then used the gene-shaving clustering algorithm and identified 22 clusters of genes. Of the 22 clusters, six were highly correlated with the class labels of the @entity1 and the top three clusters accounted for the major difference among the three @entity706 subtypes. A @entity2653 ( @entity2653 ) analysis using the average genes from the top three clusters separated the three @entity706 subtypes quite well. The functions of the genes in the top three gene clusters showed a significant enrichment of metabolism and signal transduction. To further examine whether genes of particular functions reflect more faithfully the difference between the subtypes of @entity706 , we separated the 280 informative genes into six different functional groups and performed @entity2653 analysis using each of the gene groups. Four of the gene-function groups (metabolism, signal transduction pathway, transcriptional factors, cell adhesion and migration), separated the three @entity706 subtypes well, whereas apoptosis genes and cell cycle genes did not result in good separation.
