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TRANSFORMING TRANSLATIONAL RESEARCH: CANSCRIPT–A BETTER PREDICTIVE MODEL FOR ONCOLOGY

SHARESHARESHARE
In this webinar, speaker Mark Paris, Ph.D. discussed a recent study evaluating a cohort of HNSCC patient tumors treated with anti-PD1 using CANscript™. He also is reviewed the results of this study as a means of investigating predictors of clinical response and identifying mechanisms of resistance. Delineation of the intra-tumor microenvironment in a dynamic, spatiotemporal setting is critical for investigating the activity and efficacy of candidate oncology drugs. The majority of solid cancers contain unorganized, highly-complex microenvironment wherein a dysregulated phenotypic impacts treatment outcomes at a personalized level.