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MHC-I genotype and tumor mutational burden predict response to immunotherapy

BACKGROUND: Immune checkpoint blockade (ICB) with antibodies inhibiting cytotoxic T lymphocyte-associated protein-4 (CTLA-4) and programmed cell death protein-1 (PD-1) (or its ligand (PD-L1)) can stimulate immune responses against cancer and have revolutionized the treatment of tumors. The influence...

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Autores principales: Goodman, Aaron M., Castro, Andrea, Pyke, Rachel Marty, Okamura, Ryosuke, Kato, Shumei, Riviere, Paul, Frampton, Garrett, Sokol, Ethan, Zhang, Xinlian, Ball, Edward D., Carter, Hannah, Kurzrock, Razelle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7236948/
https://www.ncbi.nlm.nih.gov/pubmed/32430031
http://dx.doi.org/10.1186/s13073-020-00743-4
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author Goodman, Aaron M.
Castro, Andrea
Pyke, Rachel Marty
Okamura, Ryosuke
Kato, Shumei
Riviere, Paul
Frampton, Garrett
Sokol, Ethan
Zhang, Xinlian
Ball, Edward D.
Carter, Hannah
Kurzrock, Razelle
author_facet Goodman, Aaron M.
Castro, Andrea
Pyke, Rachel Marty
Okamura, Ryosuke
Kato, Shumei
Riviere, Paul
Frampton, Garrett
Sokol, Ethan
Zhang, Xinlian
Ball, Edward D.
Carter, Hannah
Kurzrock, Razelle
author_sort Goodman, Aaron M.
collection PubMed
description BACKGROUND: Immune checkpoint blockade (ICB) with antibodies inhibiting cytotoxic T lymphocyte-associated protein-4 (CTLA-4) and programmed cell death protein-1 (PD-1) (or its ligand (PD-L1)) can stimulate immune responses against cancer and have revolutionized the treatment of tumors. The influence of host germline genetics and its interaction with tumor neoantigens remains poorly defined. We sought to determine the interaction between tumor mutational burden (TMB) and the ability of a patient’s major histocompatibility complex class I (MHC-I) to efficiently present mutated driver neoantigens in predicting response ICB. METHODS: Comprehensive genomic profiling was performed on 83 patients with diverse cancers treated with ICB to determine TMB and human leukocyte antigen-I (HLA-I) genotype. The ability of a patient’s MHC-I to efficiently present mutated driver neoantigens (defined by the Patient Harmonic-mean Best Rank (PHBR) score (with lower PHBR indicating more efficient presentation)) was calculated for each patient. RESULTS: The median progression-free survival (PFS) for PHBR score < 0.5 vs. ≥ 0.5 was 5.1 vs. 4.4 months (P = 0.04). Using a TMB cutoff of 10 mutations/mb, the stable disease > 6 months/partial response/complete response rate, median PFS, and median overall survival (OS) of TMB high/PHBR high vs. TMB high/PHBR low were 43% vs. 78% (P = 0.049), 5.8 vs. 26.8 months (P = 0.03), and 17.2 months vs. not reached (P = 0.23), respectively. These findings were confirmed in an independent validation cohort of 32 patients. CONCLUSIONS: Poor presentation of driver mutation neoantigens by MHC-I may explain why some tumors (even with a high TMB) do not respond to ICB.
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spelling pubmed-72369482020-05-27 MHC-I genotype and tumor mutational burden predict response to immunotherapy Goodman, Aaron M. Castro, Andrea Pyke, Rachel Marty Okamura, Ryosuke Kato, Shumei Riviere, Paul Frampton, Garrett Sokol, Ethan Zhang, Xinlian Ball, Edward D. Carter, Hannah Kurzrock, Razelle Genome Med Research BACKGROUND: Immune checkpoint blockade (ICB) with antibodies inhibiting cytotoxic T lymphocyte-associated protein-4 (CTLA-4) and programmed cell death protein-1 (PD-1) (or its ligand (PD-L1)) can stimulate immune responses against cancer and have revolutionized the treatment of tumors. The influence of host germline genetics and its interaction with tumor neoantigens remains poorly defined. We sought to determine the interaction between tumor mutational burden (TMB) and the ability of a patient’s major histocompatibility complex class I (MHC-I) to efficiently present mutated driver neoantigens in predicting response ICB. METHODS: Comprehensive genomic profiling was performed on 83 patients with diverse cancers treated with ICB to determine TMB and human leukocyte antigen-I (HLA-I) genotype. The ability of a patient’s MHC-I to efficiently present mutated driver neoantigens (defined by the Patient Harmonic-mean Best Rank (PHBR) score (with lower PHBR indicating more efficient presentation)) was calculated for each patient. RESULTS: The median progression-free survival (PFS) for PHBR score < 0.5 vs. ≥ 0.5 was 5.1 vs. 4.4 months (P = 0.04). Using a TMB cutoff of 10 mutations/mb, the stable disease > 6 months/partial response/complete response rate, median PFS, and median overall survival (OS) of TMB high/PHBR high vs. TMB high/PHBR low were 43% vs. 78% (P = 0.049), 5.8 vs. 26.8 months (P = 0.03), and 17.2 months vs. not reached (P = 0.23), respectively. These findings were confirmed in an independent validation cohort of 32 patients. CONCLUSIONS: Poor presentation of driver mutation neoantigens by MHC-I may explain why some tumors (even with a high TMB) do not respond to ICB. BioMed Central 2020-05-19 /pmc/articles/PMC7236948/ /pubmed/32430031 http://dx.doi.org/10.1186/s13073-020-00743-4 Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Goodman, Aaron M.
Castro, Andrea
Pyke, Rachel Marty
Okamura, Ryosuke
Kato, Shumei
Riviere, Paul
Frampton, Garrett
Sokol, Ethan
Zhang, Xinlian
Ball, Edward D.
Carter, Hannah
Kurzrock, Razelle
MHC-I genotype and tumor mutational burden predict response to immunotherapy
title MHC-I genotype and tumor mutational burden predict response to immunotherapy
title_full MHC-I genotype and tumor mutational burden predict response to immunotherapy
title_fullStr MHC-I genotype and tumor mutational burden predict response to immunotherapy
title_full_unstemmed MHC-I genotype and tumor mutational burden predict response to immunotherapy
title_short MHC-I genotype and tumor mutational burden predict response to immunotherapy
title_sort mhc-i genotype and tumor mutational burden predict response to immunotherapy
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7236948/
https://www.ncbi.nlm.nih.gov/pubmed/32430031
http://dx.doi.org/10.1186/s13073-020-00743-4
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