- TG4050 is being evaluated in two Phase 1 clinical trials. It combines Transgene's proprietary myvac® platform with NEC's cutting-edge Artificial Intelligence (AI) capabilities to select patient-specific neoantigens
- Data confirm that the prediction algorithm successfully identifies immunogenic cancer mutations, even among a large set of candidate mutations
- Data will be presented at upcoming Virtual AACR 2020 Session II
Strasbourg, France & Tokyo, Japan, May 15, 2020, 7:30 am CET - Transgene (Euronext Paris: TNG), a biotech company that designs and develops virus-based immunotherapies for the treatment of cancer, and NEC Corporation (NEC; TSE: 6701), a leader in IT and network technologies, today announce that they will present data demonstrating that the prediction algorithm used to customize TG4050 for each patient is accurate at identifying immunogenic cancer mutations even among a large set of candidate mutations. These data were jointly generated by the Transgene, NEC and teams and NEC Laboratories Europe GmbH will be presented at the upcoming meeting of the American Association for Cancer Research (AACR) Annual Meeting 2020 (AACR Virtual Annual Meeting II).
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