Our objective is to find how frequently the genes implicated in cancer are differentially expressed across cancer types.

We constructed a database of Cancer Genes (2616 genes) by combining information available from 6 different well known sources (OncoDB HCC, Cancer Gene Census, OMIM, MSKCC cancer genes, Atlas of Genetics and Cytogenetics and NCI).

Gene expression data from cancer studies is obtained from Biointerpreter which (www.genotypic.co.in/biointerpreter.html) is a biologist friendly analysis tool (developed at Genotypic) for interpretation of microarray data and significantly reduces the analysis and effective interpretation from weeks to hours. The "Cancer Gene Expression Database" from 150 studies (~420 samples) contains 8826 genes that are differentially regulated in cancer. In different cancer types, 24% genes were always up regulated, 43% are always down regulated and 33% are regulated both ways (up and down regulated in different studies).

Interestingly we found through our analysis that 38% of "cancer genes" are not differentially regulated in 150 cancer studies. 14% genes are up regulated and 18% genes are down regulated and 30% of the genes are regulated both ways (up and down regulated in different studies).

We will be presenting interesting biological and functional connections for the genes implicated in cancer.

Web link: http://genotypic.co.in/CancergeneExp.html