Transforming translational research: CANscriptTM – A better predictive model for oncology
Supported by:
17 May 2018
ABOUT THIS WEBINAR
In this webinar, speaker Mark Paris, PhD discussed a recent study evaluating a cohort of HNSCC patient tumours treated with anti-PD1 using CANscript™. He also be reviewed the results of this study as a means of investigating predictors of clinical response and identifying mechanisms of resistance.
Delineation of the intra-tumour microenvironment in a dynamic, spatio-temporal setting is critical for investigating the activity and efficacy of candidate oncology drugs. The majority of solid cancers contain unorganised, highly-complex microenvironment wherein a dysregulated phenotypic impacts treatment outcomes at a personalised level.
We have developed and validated a fully human ex-vivo platform technology (CANscript™) using patient material (tumour, autologous ligands and immune cells) to explore the mechanism of and predict efficacy for clinically-directed compounds across several drug classes (Nat Comm., 6:6169:1-14 2015).
Drugs that modulate the immune system have been shown to be very effective in some patients. Tumour Infiltrating Lymphocytes are often required for the function of these drugs. In order to understand the role of functional immune phenotypes, we evaluated a cohort of HNSCC patient tumours treated with anti-PD1 using CANscript™.
This session reviewed results of this study as a means of investigating predictors of clinical response and identifying mechanisms of resistance.
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Related topics
Drug Discovery, Drug Discovery Processes, Ex Vivo, Molecular Biology, Molecular Targets, Oncology, Personalised Medicine, Precision Medicine, Research & Development, Translational Science
Related organisations
Mitra Biotech
Related people
Mark Paris
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