NCI Technology Opportunity Webinar: Anti-EGFR Antibodies for the Treatment of Human Cancers
Register to attend a free webinar to assess co-developing an NCI technology. Attendees will learn about new antibodies developed at the National Cancer Institute in the laboratory of David Fitzgerald, Ph.D.
Dr. Fitzgerald and his team established that using one of the antibodies, 40H3, as an antibody-drug conjugate has potential use as a potent therapeutic because of its ability to kill both breast cancer cells and epidermoid cancer cells and reduce tumor growth in mice. The 40H3 antibody is also able to bind to EGFR when overexpressed in cancers of various tissue origins and thus has broad therapeutic potential for a wide cancer patient population.
The presentation will follow a logical sequence of how anti-EGFR antibodies are generated and modified to make them cytotoxic for tumor cells with high levels of EGFR or the variant EGFRvIII. It will specifically focus on beginning with 40H3 and the transition to the humanization of this antibody to produce the antibody termed ‘A10.’ These anti-EGFR antibodies can be used as either independent agents or targeting domains in recombinant immunotoxins (RITs), antibody-drug conjugates (ADCs), bispecific antibodies, and chimeric antigen receptors (CARs). Attendees will have an opportunity to ask questions.
Why Attend?
- Assess co-developing the technology
- Interact with the inventor, ask questions and provide feedback.
- Learn how to partner with NCI and other NIH Institutes.
Who Should Attend?
- Business development professionals
- Drug development professionals
- Biotech/pharma/academia researchers
- Investors and entrepreneurs
- Foundations, philanthropies and patient advocacy groups
Register for this virtual free webinar on Anti-EGFR Antibodies for the Treatment of Human Cancers here:
https://cbiit.webex.com/webappng/sites/cbiit/meeting/register/ca543743234b48e0bb911fbbb53cfc98?ticket=4832534b00000006249c3639612d593b64a7b59ee40aacd33b9b2aa57d09966a590db97ad0f96842×tamp=1697813856484&RGID=rc1cfb31c184939873add0a2b275544b3