| Literature DB >> 28619968 |
Xiuli Zhang1, Samuel Kim1, Jasreet Hundal2, John M Herndon1, Shunqiang Li3, Allegra A Petti2, Savas D Soysal1,4, Lijin Li1, Mike D McLellan2, Jeremy Hoog3, Tina Primeau3, Nancy Myers1, Tammi L Vickery5, Mark Sturmoski1, Ian S Hagemann6, Chris A Miller2,3, Matthew J Ellis3,7, Elaine R Mardis2,3, Ted Hansen6, Timothy P Fleming1, S Peter Goedegebuure1, William E Gillanders8,9.
Abstract
Next-generation sequencing technologies have provided insights into the biology and mutational landscape of cancer. Here, we evaluate the relevance of cancer neoantigens in human breast cancers. Using patient-derived xenografts from three patients with advanced breast cancer (xenografts were designated as WHIM30, WHIM35, and WHIM37), we sequenced exomes of tumor and patient-matched normal cells. We identified 2,091 (WHIM30), 354 (WHIM35), and 235 (WHIM37) nonsynonymous somatic mutations. A computational analysis identified and prioritized HLA class I-restricted candidate neoantigens expressed in the dominant tumor clone. Each candidate neoantigen was evaluated using peptide-binding assays, T-cell cultures that measure the ability of CD8+ T cells to recognize candidate neoantigens, and preclinical models in which we measured antitumor immunity. Our results demonstrate that breast cancer neoantigens can be recognized by the immune system, and that human CD8+ T cells enriched for prioritized breast cancer neoantigens were able to protect mice from tumor challenge with autologous patient-derived xenografts. We conclude that next-generation sequencing and epitope-prediction strategies can identify and prioritize candidate neoantigens for immune targeting in breast cancer. Cancer Immunol Res; 5(7); 516-23. ©2017 AACR. ©2017 American Association for Cancer Research.Entities:
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Year: 2017 PMID: 28619968 PMCID: PMC5647648 DOI: 10.1158/2326-6066.CIR-16-0264
Source DB: PubMed Journal: Cancer Immunol Res ISSN: 2326-6066 Impact factor: 11.151