Database of Tumor Suppressor Gene Status

parallel sequencing data from nearly 1000 cancer cell lines (Barretina et al., 2012). We have built a comprehensive computational framework for assessing the functional status of tumor suppressor genes (Sonkin et al.,2013). We have then applied this framework to 69 known or putative tumor suppressors across the CCLE. 1. Background We worked with 69 well-known & putative tumour suppressor genes which had mutation, copy number and expression data available from CCLE. We assembled information from the literature on known loss of function during mutations. We then divided mechanisms of inactivation of tumour suppressors into three categories: (i) Category ‚G ‛ is based completely on genetic mechanisms of inactivation of both alleles and, therefore, considered as the highest confidence category. (ii) The second category ‚E-G ‛ is based on inactivation of one allele by a genetic mechanism and loss of the expression of the second allele. (iii) The third category ‚E ‛ is based on loss of the expression of both alleles. In addition, a catch-all group ‚0 ‛ is defined for cases which do not qualify any of the above categories