Identifying Genetic Dependencies in Cancer by Analyzing siRNA Screens in Tumor Cell Line Panels.

Loss-of-function screening using RNA interference or CRISPR approaches can be used to identify genes that specific tumor cell lines depend upon for survival. By integrating the results from screens in multiple cell lines with molecular profiling data, it is possible to associate the dependence upon specific genes with particular molecular features (e.g., the mutation of a cancer driver gene, or transcriptional or proteomic signature). Here, using a panel of kinome-wide siRNA screens in osteosarcoma cell lines as an example, we describe a computational protocol for analyzing loss-of-function screens to identify genetic dependencies associated with particular molecular features. We describe the steps required to process the siRNA screen data, integrate the results with genotypic information to identify genetic dependencies, and finally the integration of protein-protein interaction data to interpret these dependencies

Synthetic lethal therapies for cancer: what's next after PARP inhibitors?

The genetic concept of synthetic lethality has now been validated clinically through the demonstrated efficacy of poly(ADP-ribose) polymerase (PARP) inhibitors for the treatment of cancers in individuals with germline loss-of-function mutations in either BRCA1 or BRCA2. Three different PARP inhibitors have now been approved for the treatment of patients with BRCA-mutant ovarian cancer and one for those with BRCA-mutant breast cancer; these agents have also shown promising results in patients with BRCA-mutant prostate cancer. Here, we describe a number of other synthetic lethal interactions that have been discovered in cancer. We discuss some of the underlying principles that might increase the likelihood of clinical efficacy and how new computational and experimental approaches are now facilitating the discovery and validation of synthetic lethal interactions. Finally, we make suggestions on possible future directions and challenges facing researchers in this field

Residual Complexes Containing SMARCA2 (BRM) Underlie the Oncogenic Drive of SMARCA4 (BRG1) Mutation

Collectively, genes encoding subunits of the SWI/SNF (BAF) chromatin remodeling complex are mutated in 20% of all human cancers, with the SMARCA4 (BRG1) subunit being one of the most frequently mutated. The SWI/SNF complex modulates chromatin remodeling through the activity of two mutually exclusive catalytic subunits, SMARCA4 and SMARCA2 (BRM). Here, we show that a SMARCA2-containing residual SWI/SNF complex underlies the oncogenic activity of SMARCA4 mutant cancers. We demonstrate that a residual SWI/SNF complex exists in SMARCA4 mutant cell lines and plays essential roles in cellular proliferation. Further, using data from loss-of-function screening of 165 cancer cell lines, we identify SMARCA2 as an essential gene in SMARCA4 mutant cancer cell lines. Mechanistically, we reveal that Smarca4 inactivation leads to greater incorporation of the nonessential SMARCA2 subunit into the SWI/SNF complex. Collectively, these results reveal a role for SMARCA2 in oncogenesis caused by SMARCA4 loss and identify the ATPase and bromodomain-containing SMARCA2 as a potential therapeutic target in these cancer