Tailored to Translate: Custom Preclinical Models for Advancing Diverse Therapeutic Strategies in Oncology

Presented By: 
Benjamin Cuiffo

Overview: A wide spectrum of new cancer treatment paradigms are currently under investigation, poised to compliment or even eclipse traditional cytotoxic strategies associated with radiation or chemotherapy. New and disruptive developing treatment modalities may take many forms, from small molecules and biologics, perhaps engineered for improved targeting, functionality, or delivery; to cell based therapies, vaccines, gene therapies, and even microbes or associated products.  Due to the highly individual and evolving nature of cancer, patient populations most likely to benefit from such new treatment strategies must be identified using rational selection via biomarkers, and therapies should be rationally applied to compliment current standards of care and maximize safety and efficacy.    

 

For these reasons, preclinical testing to establish efficacy and proportional benefit has necessarily become more and more a highly customized endeavor. While well-established in vivo and in vitro preclinical translational oncology models continue to serve as the bedrock of preclinical R&D in oncology, these models can be creatively adapted in a variety of ways to better capture key readouts and primary endpoints, thereby enabling the advancement of innovative new treatments.  A diverse preclinical tool set is now available and can be deployed to address key issues of interest in developing and testing new anticancer therapeutics, be they mechanistic, stratifying, synergistic, scheduling, or purely logistic. Additionally, innovative new preclinical models are being developed to answer these key questions, probe new potential targets, improve model accuracy, and increase predictive potential.

 

This webinar will outline Biomodels’ experience and capabilities in conducting highly informative customized preclinical studies in translational oncology. We will discuss how preclinical models and strategies can be tailored to assess specific readouts in more biologically accurate and clinically recapitulative settings than ever before. Key topics will include model selection, combinations and adjuncts to current therapies, considerations in immunoncology, modeling relapse or resistance, models of metastasis, targeting tumor microenvironment, imaging modalities, biomarkers, next-generation humanized models, gnotobiotics and microbiome models, and more.