SciLifeLab Data Centre is launching a new seminar series on the topic of applied AI in life science research. SciLifeLab AI Seminar Series combines scientific highlights from SciLifeLab-affiliated researchers and invited experts on the general topic of AI applications in Life Science. The SciLifeLab AI Seminar Series will be held virtually on Zoom and videos will be published openly after the seminars at the SciLifeLab YouTube channel.
Contact: Prof. Ola Spjuth, AI coordinator, SciLifeLab Data Center.
November 5, 2020
Professor at Department of Immunology, Genetics and Pathology, Uppsala University
My presentation will discuss recent work by our lab, where we have developed an integrated computational and experimental strategy to tackle cancers of the nervous system [1,2].
Despite advances in the molecular exploration of paediatric cancers, approximately 50% of children diagnosed with high-risk neuroblastoma lack effective treatment. To identify therapeutic options for this group of high-risk patients, we have combined predictive data mining with experimental evaluation in patient-derived xenograft cells . Our proposed algorithm, TargetTranslator, integrates data from tumour biobanks, pharmacological databases, and cellular networks to predict how targeted interventions affect mRNA signatures associated with high patient risk or disease processes. We find more than 80 targets to be associated with neuroblastoma risk and differentiation signatures. Selected targets are evaluated in cell lines derived from high-risk patients to demonstrate reversal of risk signatures and malignant phenotypes. Using neuroblastoma xenograft models, we establish CNR2 and MAPK8 as promising candidates for the treatment of high-risk neuroblastoma. In addition to these results, I will discuss an integrated computational-experimental study of patient-derived cell biobanks, resulting in new combination therapy options glioblastoma in adults . We expect that integrated data-driven approaches will enhance and expedite the discovery of risk-associated targets for paediatric and adult cancers.
 Johansson P, Krona C, Kundu S, et al. A Patient-Derived Cell Atlas Informs Precision Targeting of Glioblastoma. Cell Rep. 2020 Jul 14;32(2):107897.
 Almstedt E, et al. Integrative discovery of treatments for high-risk neuroblastoma. Nat Commun. 2020 Jan 3;11(1):71.
Register to receive the zoom-link. The seminar is free of charge, but registration is required (max 300 pers).
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