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The Evolving Landscape of Cancer Modeling

March 2-5, 2020
Hard Rock Hotel
San Diego, California

Conference Cochairs

Cory Abate-Shen, Columbia University Irving Comprehensive Cancer Center, New York, New York
Andrea Califano, Columbia University Medical School, New York, New York
Jos Jonkers, Netherlands Cancer Institute, Amsterdam, Netherlands
Calvin J. Kuo, Stanford University, Stanford, California


The AACR is closely monitoring the continuing developments with the Novel Coronavirus. We want to assure anyone planning to attend any AACR meeting that their safety and security are our top priority.

Based on all available information, at this time there is no plan to cancel or postpone any of the scheduled AACR meetings.

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We will also take proactive steps at all our meetings, such as adding hand sanitizer stations throughout the meeting venue. We encourage attendees to monitor the CDC website for additional information and review and follow the WHO’s Travel Advice, as well as its recommendations for protecting themselves from an infection.

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A veritable explosion of cancer models in recent years has been fueled by technological advances that have enabled the rapid generation of models of increasing complexity and relevance for human cancer. Genetically engineered mouse (GEM) models and cancer cell lines are mainstays for basic and translational cancer research; organoids and patient-derived xenograft (PDX) models are allowing for a better recapitulation of cancer characteristics; and cell-based computational modeling simulates single-cell behavior in virtual tissues of cancer systems. These next-generation models have, in turn, provided key insights into all aspects of cancer biology, including elucidating the actions of stem cells and developmental pathways and the impact of lineage plasticity, understanding metastatic progression, uncovering the roles of the tumor microenvironment and immune system, exploring tumor evolution, and discovering new therapeutic approaches and mechanisms of drug sensitivity and adaptive response. This meeting will highlight recent advances in modeling cancer using mouse models, cell lines, organoids, PDX models, and computational models, focusing on their impact for advancing our understanding of cancer biology, prevention and treatment, and drug response and resistance.

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