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About This Webinar

In immuno-oncology drug development, the translation of preclinical models in rodents to clinical reality is a challenge. Current preclinical models need to be better characterized for their feasibility to discover predictive biomarkers for immunotherapies. It is known that tumor T cell infiltration (in “hot” tumors), or lack of tumor-infiltrating lymphocytes/TILs (cold tumors), influence the response to immune checkpoint inhibitors.

This webinar presented a deep phenotypic characterization of 14 humanized non-small-cell lung cancer (NSCLC) patient-derived xenograft (PDX) models which showed that PDX have distinct hot or cold phenotypes as an inherent model feature.

This webinar also explored how NSCLC PDX models reflecting hot (>5% TILs) as opposed to cold tumors (<5% TILs) differed significantly regarding their cytokine profiles, molecular genetic aberrations, stroma content, and PD-L1 Status. The study platform demonstrated how PDX models in humanized mice might enable preclinical efficacy testing for new indications and innovative drugs in parallel with the development of translational biomarkers.

This webinar highlighted:

  • how to use PDX models in a preclinical immuno-oncology drug development pipeline
  • the required readouts to best characterize your preclinical IO model
  • how to optimize your preclinical IO research for the development of translational biomarkers.

Access to the Related Peer Reviewed Publication

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Presenters

Julia Schüler Headshot

Presenter: Dr. Julia Schüler
Research Director
Charles River


 

Sarah Hiddleston Headshot

Moderator: Sarah Hiddleston
Science Journalist
Nature Research Custom Media

 

Additional Information

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