Jade Bryant

TL;DR: Analyses of samples from patients with acute myeloid leukaemia reveal that drug response is associated with mutational status and gene expression; the generated dataset provides a basis for future clinical and functional studies of this disease.

TL;DR: An algorithm to predict kinase pathway dependence based on analysis of inhibitor sensitivity patterns was developed and it was suggested that drug target scores derived from a comprehensive kinase inhibitor panel could predict pathway dependence in cancer cells while simultaneously identifying potential therapeutic options.

TL;DR: A large functional genomic resource is expanded, avenues for mechanistic exploration and drug development, and tools for predicting outcome in AML are revealed, including a single gene, PEAR1, which is found to be among the strongest predictors of patient survival.

TL;DR: These studies further support that YM155 in ALL induces DNA damage leading to S phase arrest and only subsets of ALL have exquisite sensitivity to YM 155 presumably through both suppression of survivin expression and activation of the DNA damage pathway underscoring its potential for therapeutic development.

TL;DR: In this article , a meta-analysis of the new GenOMICC genome-wide association study (GWAS) results with previously published data was conducted, finding 49 genomewide significant associations, of which 16 have not been reported previously.