Project description:The Geneva Cancer Registry database collected data and tissue for all colorectal cancer patients diagnosed between 1985 and 2013. Samples with available fresh frozen material were selected for gene expression profiling with RNAseq (N=384), these ranged from 2002 until 2011.
Project description:Prostate cancer is the second most occurring cancer in men worldwide, and with the advances made with screening for prostate-specific antigen, it has been prone to early diagnosis and over-treatment. To better understand the mechanisms of tumorigenesis and possible treatment responses, we developed a mathematical model of prostate cancer which considers the major signalling pathways known to be deregulated. The model includes pathways such as androgen receptor, MAPK, Wnt, NFkB, PI3K/AKT, MAPK, mTOR, SHH, the cell cycle, the epithelial-mesenchymal transition (EMT), apoptosis and DNA damage pathways. The final model accounts for 133 nodes and 449 edges. We applied a methodology to personalise this Boolean model to molecular data to reflect the heterogeneity and specific response to perturbations of cancer patients, using TCGA and GDSC datasets.
Project description:Prostate cancer cells (PC3) were treated with purified human recombinant CRISP3 protein or vehicle control for 4 hours before whole cell protein extraction
