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Membrane-localized neoantigens predict the efficacy of cancer immunotherapy

Immune checkpoint immunotherapy (ICI) can re-activate immune reactions against neoantigens, leading to remarkable remission in cancer patients. Nevertheless, only a minority of patients are responsive to ICI, and approaches for prediction of responsiveness are needed to improve the success of cancer...

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Autores principales: Goldberger, Zoe, Hauert, Sylvie, Chang, Kevin, Kurtanich, Trevin, Alpar, Aaron T., Repond, Grégoire, Wang, Yue, Gomes, Suzana, Krishnakumar, Raga, Siddarth, Prabha, Swartz, Melody A., Hubbell, Jeffrey A., Briquez, Priscilla S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10439248/
https://www.ncbi.nlm.nih.gov/pubmed/37552990
http://dx.doi.org/10.1016/j.xcrm.2023.101145
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author Goldberger, Zoe
Hauert, Sylvie
Chang, Kevin
Kurtanich, Trevin
Alpar, Aaron T.
Repond, Grégoire
Wang, Yue
Gomes, Suzana
Krishnakumar, Raga
Siddarth, Prabha
Swartz, Melody A.
Hubbell, Jeffrey A.
Briquez, Priscilla S.
author_facet Goldberger, Zoe
Hauert, Sylvie
Chang, Kevin
Kurtanich, Trevin
Alpar, Aaron T.
Repond, Grégoire
Wang, Yue
Gomes, Suzana
Krishnakumar, Raga
Siddarth, Prabha
Swartz, Melody A.
Hubbell, Jeffrey A.
Briquez, Priscilla S.
author_sort Goldberger, Zoe
collection PubMed
description Immune checkpoint immunotherapy (ICI) can re-activate immune reactions against neoantigens, leading to remarkable remission in cancer patients. Nevertheless, only a minority of patients are responsive to ICI, and approaches for prediction of responsiveness are needed to improve the success of cancer treatments. While the tumor mutational burden (TMB) correlates positively with responsiveness and survival of patients undergoing ICI, the influence of the subcellular localizations of the neoantigens remains unclear. Here, we demonstrate in both a mouse melanoma model and human clinical datasets of 1,722 ICI-treated patients that a high proportion of membrane-localized neoantigens, particularly at the plasma membrane, correlate with responsiveness to ICI therapy and improved overall survival across multiple cancer types. We further show that combining membrane localization and TMB analyses can enhance the predictability of cancer patient response to ICI. Our results may have important implications for establishing future clinical guidelines to direct the choice of treatment toward ICI.
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spelling pubmed-104392482023-08-20 Membrane-localized neoantigens predict the efficacy of cancer immunotherapy Goldberger, Zoe Hauert, Sylvie Chang, Kevin Kurtanich, Trevin Alpar, Aaron T. Repond, Grégoire Wang, Yue Gomes, Suzana Krishnakumar, Raga Siddarth, Prabha Swartz, Melody A. Hubbell, Jeffrey A. Briquez, Priscilla S. Cell Rep Med Article Immune checkpoint immunotherapy (ICI) can re-activate immune reactions against neoantigens, leading to remarkable remission in cancer patients. Nevertheless, only a minority of patients are responsive to ICI, and approaches for prediction of responsiveness are needed to improve the success of cancer treatments. While the tumor mutational burden (TMB) correlates positively with responsiveness and survival of patients undergoing ICI, the influence of the subcellular localizations of the neoantigens remains unclear. Here, we demonstrate in both a mouse melanoma model and human clinical datasets of 1,722 ICI-treated patients that a high proportion of membrane-localized neoantigens, particularly at the plasma membrane, correlate with responsiveness to ICI therapy and improved overall survival across multiple cancer types. We further show that combining membrane localization and TMB analyses can enhance the predictability of cancer patient response to ICI. Our results may have important implications for establishing future clinical guidelines to direct the choice of treatment toward ICI. Elsevier 2023-08-07 /pmc/articles/PMC10439248/ /pubmed/37552990 http://dx.doi.org/10.1016/j.xcrm.2023.101145 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Goldberger, Zoe
Hauert, Sylvie
Chang, Kevin
Kurtanich, Trevin
Alpar, Aaron T.
Repond, Grégoire
Wang, Yue
Gomes, Suzana
Krishnakumar, Raga
Siddarth, Prabha
Swartz, Melody A.
Hubbell, Jeffrey A.
Briquez, Priscilla S.
Membrane-localized neoantigens predict the efficacy of cancer immunotherapy
title Membrane-localized neoantigens predict the efficacy of cancer immunotherapy
title_full Membrane-localized neoantigens predict the efficacy of cancer immunotherapy
title_fullStr Membrane-localized neoantigens predict the efficacy of cancer immunotherapy
title_full_unstemmed Membrane-localized neoantigens predict the efficacy of cancer immunotherapy
title_short Membrane-localized neoantigens predict the efficacy of cancer immunotherapy
title_sort membrane-localized neoantigens predict the efficacy of cancer immunotherapy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10439248/
https://www.ncbi.nlm.nih.gov/pubmed/37552990
http://dx.doi.org/10.1016/j.xcrm.2023.101145
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