TY - JOUR
T1 - Breast cancer neoantigens can induce CD8+ T-cell responses and antitumor immunity
AU - Zhang, Xiuli
AU - Kim, Samuel
AU - Hundal, Jasreet
AU - Herndon, John M.
AU - Li, Shunqiang
AU - Petti, Allegra A.
AU - Soysal, Savas D.
AU - Li, Lijin
AU - McLellan, Mike D.
AU - Hoog, Jeremy
AU - Primeau, Tina
AU - Myers, Nancy
AU - Vickery, Tammi L.
AU - Sturmoski, Mark
AU - Hagemann, Ian S.
AU - Miller, Chris A.
AU - Ellis, Matthew J.
AU - Mardis, Elaine R.
AU - Hansen, Ted
AU - Fleming, Timothy P.
AU - Goedegebuure, S. Peter
AU - Gillanders, William E.
N1 - Publisher Copyright:
© 2017 American Association for Cancer Research.
PY - 2017/7
Y1 - 2017/7
N2 - 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 nextgeneration sequencing and epitope-prediction strategies can identify and prioritize candidate neoantigens for immune targeting in breast cancer. Cancer Immunol Res; 5(7); 516-23.
AB - 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 nextgeneration sequencing and epitope-prediction strategies can identify and prioritize candidate neoantigens for immune targeting in breast cancer. Cancer Immunol Res; 5(7); 516-23.
UR - http://www.scopus.com/inward/record.url?scp=85022081218&partnerID=8YFLogxK
U2 - 10.1158/2326-6066.CIR-16-0264
DO - 10.1158/2326-6066.CIR-16-0264
M3 - Article
C2 - 28619968
AN - SCOPUS:85022081218
SN - 2326-6066
VL - 5
SP - 516
EP - 523
JO - Cancer immunology research
JF - Cancer immunology research
IS - 7
ER -