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Pancreatic cancer

Next-generation algorithms for neoantigen selection

Nature Reviews Gastroenterology & Hepatology volume 15, pages 135–136 (2018)Cite this article

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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.

Refers to Balachandran, V. P. et al. Identification of unique neoantigen qualities in long-term survivors of pancreatic cancer. Nature http://dx.doi.org/10.1038/nature24462 (2017)

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Figure 1: Tumour evolution in response to immune pressure in pancreatic cancer.

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Authors and Affiliations

  1. Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, 1650 Orleans Street, Baltimore, 21231, Maryland, USA

    Alexander Hopkins & Elizabeth Jaffee

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  1. Alexander Hopkins
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  2. Elizabeth Jaffee
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Correspondence to Elizabeth Jaffee.

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Competing interests

E.J. has the potential to receive royalties from Aduro Biotech for vaccines developed in her laboratory.

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Hopkins, A., Jaffee, E. Next-generation algorithms for neoantigen selection. Nat Rev Gastroenterol Hepatol 15, 135–136 (2018). https://doi.org/10.1038/nrgastro.2017.184

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