PT - JOURNAL ARTICLE AU - Sofian Al Shboul AU - Olimpia E Curran AU - Javier A Alfaro AU - Fiona Lickiss AU - Erisa Nita AU - Jacek Kowalski AU - Faris Naji AU - Rudolf Nenutil AU - Kathryn L Ball AU - Radovan Krejcir AU - Borivoj Vojtesek AU - Ted R Hupp AU - Paul M Brennan TI - Kinomics platform using GBM tissue identifies BTK as being associated with higher patient survival AID - 10.26508/lsa.202101054 DP - 2021 Dec 01 TA - Life Science Alliance PG - e202101054 VI - 4 IP - 12 4099 - https://www.life-science-alliance.org/content/4/12/e202101054.short 4100 - https://www.life-science-alliance.org/content/4/12/e202101054.full SO - Life Sci. Alliance2021 Dec 01; 4 AB - Better understanding of GBM signalling networks in-vivo would help develop more physiologically relevant ex vivo models to support therapeutic discovery. A “functional proteomics” screen was undertaken to measure the specific activity of a set of protein kinases in a two-step cell-free biochemical assay to define dominant kinase activities to identify potentially novel drug targets that may have been overlooked in studies interrogating GBM-derived cell lines. A dominant kinase activity derived from the tumour tissue, but not patient-derived GBM stem-like cell lines, was Bruton tyrosine kinase (BTK). We demonstrate that BTK is expressed in more than one cell type within GBM tissue; SOX2-positive cells, CD163-positive cells, CD68-positive cells, and an unidentified cell population which is SOX2-negative CD163-negative and/or CD68-negative. The data provide a strategy to better mimic GBM tissue ex vivo by reconstituting more physiologically heterogeneous cell co-culture models including BTK-positive/negative cancer and immune cells. These data also have implications for the design and/or interpretation of emerging clinical trials using BTK inhibitors because BTK expression within GBM tissue was linked to longer patient survival.