Press Release (ePRNews.com) - Toronto, ON - Jun 06, 2018 - Developing effective personalized cancer vaccines depends on comprehensively detecting all neoantigens in a tumor sample and then selecting the neoantigens that are most likely to be effective in an individual patient. This process, especially under the timeline demands of clinical trials or commercial vaccine development, can be incredibly complex. Gaps in sequencing coverage found in standard exome and transcriptome assays can lead to missed neoantigens, and filtering neoantigens often requires incorporating data across multiple assays to make an informed decision.
Personalis developed the ACE ImmunoID platform to overcome these challenges. ACE ImmunoID combines augmented exome and transcriptome assays with advanced bioinformatics to both comprehensively identify neoantigens and provide accurate analytics to help inform the selection of candidate neoantigens.
Topics covered by our featured speakers from Personalis, Sean Michael Boyle, MS, PhD, Director of Bioinformatics Applications and Kedar Hastak, MS, PhD, Field Applications Scientist will include:
- How HLA Typing, Similarity-to-Self, Similarity-to-Known Antigens, and other analytics can be used to inform candidate neoantigen selection
- A case study demonstrating the advantage of augmented exome and transcriptome assays and their further utility in biomarker discovery
- Best practices for designing rapid, patient-centric processes for vaccine clinical trials including optimizing sample preparation and integrating lab automation
Join this informative and commercially relevant discussion on Monday, June 18, 2018 at 1pm EDT. For more information on this complementary event, visit: Neoantigens for Personalized Cancer Vaccines: Comprehensive Identification and Effective Selection.
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