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Identification of antigenic epitopes recognized by tumor infiltrating lymphocytes in high grade serous ovarian cancer by multi-omics profiling of the auto-antigen repertoire
Immunotherapeutic strategies aimed at enhancing tumor cell killing by tumor-specific T cells hold great potential for reducing tumor burden and prolonging survival of cancer patients. Although many potential tumor antigens have been described, identifying relevant targets when designing anti-cancer...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10264507/ https://www.ncbi.nlm.nih.gov/pubmed/36943460 http://dx.doi.org/10.1007/s00262-023-03413-7 |
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author | Millar, Douglas G. Yang, S. Y. Cindy Sayad, Azin Zhao, Qingchuan Nguyen, Linh T. Warner, Kathrin Sangster, Ami G. Nakatsugawa, Munehide Murata, Kenji Wang, Ben X. Shaw, Patricia Clarke, Blaise Bernardini, Marcus Q. Pugh, Trevor Thibault, Pierre Hirano, Naoto Perreault, Claude Ohashi, Pamela S. |
author_facet | Millar, Douglas G. Yang, S. Y. Cindy Sayad, Azin Zhao, Qingchuan Nguyen, Linh T. Warner, Kathrin Sangster, Ami G. Nakatsugawa, Munehide Murata, Kenji Wang, Ben X. Shaw, Patricia Clarke, Blaise Bernardini, Marcus Q. Pugh, Trevor Thibault, Pierre Hirano, Naoto Perreault, Claude Ohashi, Pamela S. |
author_sort | Millar, Douglas G. |
collection | PubMed |
description | Immunotherapeutic strategies aimed at enhancing tumor cell killing by tumor-specific T cells hold great potential for reducing tumor burden and prolonging survival of cancer patients. Although many potential tumor antigens have been described, identifying relevant targets when designing anti-cancer vaccines or targeted cell therapies remains a challenge. To identify novel, potentially immunogenic candidate tumor antigens, we performed integrated tumor transcriptomic, seromic, and proteomic analyses of high grade serous ovarian cancer (HGSC) patient tumor samples. We identified tumor neo-antigens and over-expressed antigens using whole exome and RNA sequencing and examined these in relation to patient-matched auto-antibody repertoires. Focusing on MHC class I epitopes recognized by CD8(+) T cells, HLA-binding epitopes were identified or predicted from the highly expressed, mutated, or auto-antibody target antigen, or MHC-associated peptides (MAPs). Recognition of candidate antigenic peptides was assessed within the tumor-infiltrating T lymphocyte (TIL) population expanded from each patient. Known tumor-associated antigens (TAA) and cancer/testis antigens (CTA) were commonly found in the auto-antibody and MAP repertoires and CD8(+) TILs recognizing epitopes from these antigens were detected, although neither expression level nor the presence of auto-antibodies correlated with TIL recognition. Auto-antibodies against tumor-mutated antigens were found in most patients, however, no TIL recognition of the highest predicted affinity neo-epitopes was detected. Using high expression level, auto-antibody recognition, and epitope prediction algorithms, we identified epitopes in 5 novel antigens (MOB1A, SOCS3, TUBB, PRKAR1A, CCDC6) recognized by HGSC patient TILs. Furthermore, selection of epitopes from the MAP repertoire identified 5 additional targets commonly recognized by multiple patient TILs. We find that the repertoire of TIL specificities includes recognition of highly expressed and immunogenic self-antigens that are processed and presented by tumors. These results indicate an ongoing autoimmune response against a range of self-antigens targeted by HGSC TILs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00262-023-03413-7. |
format | Online Article Text |
id | pubmed-10264507 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-102645072023-06-15 Identification of antigenic epitopes recognized by tumor infiltrating lymphocytes in high grade serous ovarian cancer by multi-omics profiling of the auto-antigen repertoire Millar, Douglas G. Yang, S. Y. Cindy Sayad, Azin Zhao, Qingchuan Nguyen, Linh T. Warner, Kathrin Sangster, Ami G. Nakatsugawa, Munehide Murata, Kenji Wang, Ben X. Shaw, Patricia Clarke, Blaise Bernardini, Marcus Q. Pugh, Trevor Thibault, Pierre Hirano, Naoto Perreault, Claude Ohashi, Pamela S. Cancer Immunol Immunother Research Immunotherapeutic strategies aimed at enhancing tumor cell killing by tumor-specific T cells hold great potential for reducing tumor burden and prolonging survival of cancer patients. Although many potential tumor antigens have been described, identifying relevant targets when designing anti-cancer vaccines or targeted cell therapies remains a challenge. To identify novel, potentially immunogenic candidate tumor antigens, we performed integrated tumor transcriptomic, seromic, and proteomic analyses of high grade serous ovarian cancer (HGSC) patient tumor samples. We identified tumor neo-antigens and over-expressed antigens using whole exome and RNA sequencing and examined these in relation to patient-matched auto-antibody repertoires. Focusing on MHC class I epitopes recognized by CD8(+) T cells, HLA-binding epitopes were identified or predicted from the highly expressed, mutated, or auto-antibody target antigen, or MHC-associated peptides (MAPs). Recognition of candidate antigenic peptides was assessed within the tumor-infiltrating T lymphocyte (TIL) population expanded from each patient. Known tumor-associated antigens (TAA) and cancer/testis antigens (CTA) were commonly found in the auto-antibody and MAP repertoires and CD8(+) TILs recognizing epitopes from these antigens were detected, although neither expression level nor the presence of auto-antibodies correlated with TIL recognition. Auto-antibodies against tumor-mutated antigens were found in most patients, however, no TIL recognition of the highest predicted affinity neo-epitopes was detected. Using high expression level, auto-antibody recognition, and epitope prediction algorithms, we identified epitopes in 5 novel antigens (MOB1A, SOCS3, TUBB, PRKAR1A, CCDC6) recognized by HGSC patient TILs. Furthermore, selection of epitopes from the MAP repertoire identified 5 additional targets commonly recognized by multiple patient TILs. We find that the repertoire of TIL specificities includes recognition of highly expressed and immunogenic self-antigens that are processed and presented by tumors. These results indicate an ongoing autoimmune response against a range of self-antigens targeted by HGSC TILs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00262-023-03413-7. Springer Berlin Heidelberg 2023-03-21 2023 /pmc/articles/PMC10264507/ /pubmed/36943460 http://dx.doi.org/10.1007/s00262-023-03413-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Millar, Douglas G. Yang, S. Y. Cindy Sayad, Azin Zhao, Qingchuan Nguyen, Linh T. Warner, Kathrin Sangster, Ami G. Nakatsugawa, Munehide Murata, Kenji Wang, Ben X. Shaw, Patricia Clarke, Blaise Bernardini, Marcus Q. Pugh, Trevor Thibault, Pierre Hirano, Naoto Perreault, Claude Ohashi, Pamela S. Identification of antigenic epitopes recognized by tumor infiltrating lymphocytes in high grade serous ovarian cancer by multi-omics profiling of the auto-antigen repertoire |
title | Identification of antigenic epitopes recognized by tumor infiltrating lymphocytes in high grade serous ovarian cancer by multi-omics profiling of the auto-antigen repertoire |
title_full | Identification of antigenic epitopes recognized by tumor infiltrating lymphocytes in high grade serous ovarian cancer by multi-omics profiling of the auto-antigen repertoire |
title_fullStr | Identification of antigenic epitopes recognized by tumor infiltrating lymphocytes in high grade serous ovarian cancer by multi-omics profiling of the auto-antigen repertoire |
title_full_unstemmed | Identification of antigenic epitopes recognized by tumor infiltrating lymphocytes in high grade serous ovarian cancer by multi-omics profiling of the auto-antigen repertoire |
title_short | Identification of antigenic epitopes recognized by tumor infiltrating lymphocytes in high grade serous ovarian cancer by multi-omics profiling of the auto-antigen repertoire |
title_sort | identification of antigenic epitopes recognized by tumor infiltrating lymphocytes in high grade serous ovarian cancer by multi-omics profiling of the auto-antigen repertoire |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10264507/ https://www.ncbi.nlm.nih.gov/pubmed/36943460 http://dx.doi.org/10.1007/s00262-023-03413-7 |
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