A neoantigen fitness model predicts tumour response to checkpoint blockade immunotherapy

Marta Łuksza (), Nadeem Riaz, Vladimir Makarov, Vinod P. Balachandran, Matthew D. Hellmann, Alexander Solovyov, Naiyer A. Rizvi, Taha Merghoub, Arnold J. Levine, Timothy A. Chan, Jedd D. Wolchok and Benjamin D. Greenbaum ()
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Marta Łuksza: The Simons Center for Systems Biology, Institute for Advanced Study
Nadeem Riaz: Memorial Sloan Kettering Cancer Center
Vladimir Makarov: Immunogenomics and Precision Oncology Platform, Memorial Sloan Kettering Cancer Center
Vinod P. Balachandran: Memorial Sloan Kettering Cancer Center
Matthew D. Hellmann: Parker Institute for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center
Alexander Solovyov: Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai
Naiyer A. Rizvi: Columbia University Medical Center
Taha Merghoub: Parker Institute for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center
Arnold J. Levine: The Simons Center for Systems Biology, Institute for Advanced Study
Timothy A. Chan: Memorial Sloan Kettering Cancer Center
Jedd D. Wolchok: Parker Institute for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center
Benjamin D. Greenbaum: Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai

Nature, 2017, vol. 551, issue 7681, 517-520

Abstract: An immune fitness model for tumours under checkpoint blockade immunotherapy is proposed, through which the authors show that the presentation and recognition properties of dominant neoantigens distributed over tumour subclones are predictive of response in melanoma and lung cancer cohorts.

Date: 2017
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DOI: 10.1038/nature24473

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