Personalis ACE ImmunoID Analysis
Published: 29 October 2018| Version 1 | DOI: 10.17632/9m2bhrv5t3.1
Contributor:
Gemma Owens
Description
Whole exome and transcriptome sequencing data for two patients with high-grade serous ovarian cancer. Data was used to identify non-synonymous somatic mutations which were predicted to give rise to neoantigens. Predicted neoantigens were filtered using peptide-MHC binding prediction algorithms. Neoantigens with a high predicted binding affinity were synthesised and screening for immunogenicity using autologous expanded TIL.
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Institutions
The University of Manchester
Categories
Genomics, Cancer Immunotherapy