Pancreatic cancer: Next-generation algorithms for neoantigen selection
- PMID: 29317775
- PMCID: PMC6487638
- DOI: 10.1038/nrgastro.2017.184
Pancreatic cancer: Next-generation algorithms for neoantigen selection
Abstract
Predicting clinical outcomes in cancer using neoantigen burden is imperfect because current algorithms use only the binding affinity of putative neoantigens to HLA. A new study models pancreatic tumour response through a deeper understanding of tumour immunology, providing new tools for identifying neoantigens and characteristics that define their quality.
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Comment on
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Identification of unique neoantigen qualities in long-term survivors of pancreatic cancer.Nature. 2017 Nov 23;551(7681):512-516. doi: 10.1038/nature24462. Epub 2017 Nov 8. Nature. 2017. PMID: 29132146 Free PMC article.
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