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Cancer Immunogenomics: Computational Neoantigen Identification and Vaccine Design
Jasreet Hundal1, Christopher A Miller1,2, Malachi Griffith1,2
1McDonnell Genome Institute at Washington University School of Medicine, St. Louis, Missouri 63108.
Cold Spring Harbor Symposia on Quantitative Biology
|April 9, 2017
Summary
Modern genomics reveals complex cancer alterations. Immunogenomics analyzes these changes to develop personalized cancer vaccines, targeting cancer cells for immune response.
Area of Science:
- Genomics and Computational Biology
- Cancer Research and Immunology
Background:
- High-throughput genomics has uncovered complex genomic alterations in cancer development.
- Computational analyses are increasingly used to interpret genomic data for therapeutic strategies.
Purpose of the Study:
- To introduce and outline the emerging field of immunogenomics.
- To explain how immunogenomics can identify cancer-specific alterations for targeted immune responses.
- To highlight the potential of personalized vaccines in cancer therapy.
Main Methods:
- Applying high-throughput genomics to study cancer genomes.
- Utilizing computational analyses for multiplex evaluation of genomic data.
- Interpreting protein-altering changes in cancer cells using predicted peptide binding to human leukocyte antigen (HLA) class I and II proteins.
Main Results:
- Identification of complex combinations of genomic alterations driving cancer.
- Development of immunogenomics to link genomic alterations to immune recognition.
- Potential to identify cancer-specific alterations that can elicit a targeted immune response.
Conclusions:
- Immunogenomics offers a novel approach to interpret cancer-specific genomic alterations.
- This field holds promise for developing personalized cancer vaccines.
- Immunogenomics represents an emerging therapeutic option for cancer patients.
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