IRS2 is a candidate driver oncogene on 13q34 in colorectal cancer

Copy number alterations are frequently found in colorectal cancer (CRC), and recurrent gains or losses are likely to correspond to regions harbouring genes that promote or impede carcinogenesis respectively. Gain of chromosome 13q is common in CRC but, because the region of gain is frequently large, identification of the driver gene(s) has hitherto proved difficult. We used array comparative genomic hybridization to analyse 124 primary CRCs, demonstrating that 13q34 is a region of gain in 35% of CRCs, with focal gains in 4% and amplification in a further 1.6% of cases. To reduce the number of potential driver genes to consider, it was necessary to refine the boundaries of the narrowest copy number changes seen in this series and hence define the minimal copy region (MCR). This was performed using molecular copy-number counting, identifying IRS2 as the only complete gene, and therefore the likely driver oncogene, within the refined MCR. Analysis of available colorectal neoplasia data sets confirmed IRS2 gene gain as a common event. Furthermore, IRS2 protein and mRNA expression in colorectal neoplasia was assessed and was positively correlated with progression from normal through adenoma to carcinoma. In functional in vitro experiments, we demonstrate that deregulated expression of IRS2 activates the oncogenic PI3 kinase pathway and increases cell adhesion, both characteristics of invasive CRC cells. Together, these data identify IRS2 as a likely driver oncogene in the prevalent 13q34 region of gain/amplification and suggest that IRS2 over-expression may provide an additional mechanism of PI3 kinase pathway activation in CRC

Multiple newly identified loci associated with prostate cancer susceptibility

Prostate cancer is the most common cancer affecting males in developed countries. It shows consistent evidence of familial aggregation, but the causes of this aggregation are mostly unknown. To identify common alleles associated with prostate cancer risk, we conducted a genome-wide association study (GWAS) using blood DNA samples from 1,854 individuals with clinically detected prostate cancer diagnosed at </=60 years or with a family history of disease, and 1,894 population-screened controls with a low prostate-specific antigen (PSA) concentration (<0.5 ng/ml). We analyzed these samples for 541,129 SNPs using the Illumina Infinium platform. Initial putative associations were confirmed using a further 3,268 cases and 3,366 controls. We identified seven loci associated with prostate cancer on chromosomes 3, 6, 7, 10, 11, 19 and X (P = 2.7 x 10(-8) to P = 8.7 x 10(-29)). We confirmed previous reports of common loci associated with prostate cancer at 8q24 and 17q. Moreover, we found that three of the newly identified loci contain candidate susceptibility genes: MSMB, LMTK2 and KLK3