SummaryOne approach to identifying cancer-specific vulnerabilities and therapeutic targets is to profile genetic dependencies in cancer cell lines. Here, we describe data from a series of siRNA screens that identify the kinase genetic dependencies in 117 cancer cell lines from ten cancer types. By integrating the siRNA screen data with molecular profiling data, including exome sequencing data, we show how vulnerabilities/genetic dependencies that are associated with mutations in specific cancer driver genes can be identified. By integrating additional data sets into this analysis, including protein-protein interaction data, we also demonstrate that the genetic dependencies associated with many cancer driver genes form dense connections on functional interaction networks. We demonstrate the utility of this resource by using it to predict the drug sensitivity of genetically or histologically defined subsets of tumor cell lines, including an increased sensitivity of osteosarcoma cell lines to FGFR inhibitors and SMAD4 mutant tumor cells to mitotic inhibitors.

Summary The myelodysplastic syndromes (MDS) are heterogeneous and can evolve into acute myeloid leukaemia (AML). Rare familial cases are reported in which five disease genes have been identified to date (RUNX1, CEBPA, TERC, TERT and GATA2). Here we report the genetic categorization of 27 families with familial MDS/AML. All of these families were screened for RUNX1, CEBPA, TERC, TERT and GATA2 as well as TET2 and NPM1. Five of the 27 families had telomerase mutations; one had a RUNX1 mutation, while none were found to have TET2, CEBPA or NPM1 mutations. We identified four families with heterozygous GATA2 mutations, each associated with a different phenotype. While one of these mutations is novel, three have been previously reported: one has been described in dendritic cell, monocyte, B and NK lymphoid (DCML) deficiency and one is in a family that has been reported in a series with primary lymphoedema with a predisposition to AML (Emberger syndrome). In summary, genetic characterization was shown in 10 (four GATA2, three TERT, two TERC, one RUNX1) of these families; however 17 remain uncharacterized, highlighting marked genetic heterogeneity in familial MDS/AML and the scope for further functional pathways that could give rise to this group of disorders.

The NTS observation chart acts as an adjunct to clinical assessment, highlighting unwell neonates. Its simplicity allows successful and safe use by nonpediatric specialists. NTS out-performed PEWS, with significantly better sensitivity, particularly in neonates who deteriorated within the first 12 hours after birth (P < .001) or in neonates with sepsis or respiratory symptoms (P < .001). Neonates with a score of 1 should be reviewed and those scoring ≥2 should be considered for NICU admission for further management.