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NLRC5/CITA expression correlates with efficient response to checkpoint blockade immunotherapy

Checkpoint blockade-mediated immunotherapy is emerging as an effective treatment modality for multiple cancer types. However, cancer cells frequently evade the immune system, compromising the effectiveness of immunotherapy. It is crucial to develop screening methods to identify the patients who woul...

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Autores principales: Yoshihama, Sayuri, Cho, Steven X., Yeung, Jason, Pan, Xuedong, Lizee, Gregory, Konganti, Kranti, Johnson, Valen E., Kobayashi, Koichi S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7865024/
https://www.ncbi.nlm.nih.gov/pubmed/33547395
http://dx.doi.org/10.1038/s41598-021-82729-9
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author Yoshihama, Sayuri
Cho, Steven X.
Yeung, Jason
Pan, Xuedong
Lizee, Gregory
Konganti, Kranti
Johnson, Valen E.
Kobayashi, Koichi S.
author_facet Yoshihama, Sayuri
Cho, Steven X.
Yeung, Jason
Pan, Xuedong
Lizee, Gregory
Konganti, Kranti
Johnson, Valen E.
Kobayashi, Koichi S.
author_sort Yoshihama, Sayuri
collection PubMed
description Checkpoint blockade-mediated immunotherapy is emerging as an effective treatment modality for multiple cancer types. However, cancer cells frequently evade the immune system, compromising the effectiveness of immunotherapy. It is crucial to develop screening methods to identify the patients who would most benefit from these therapies because of the risk of the side effects and the high cost of treatment. Here we show that expression of the MHC class I transactivator (CITA), NLRC5, is important for efficient responses to anti-CTLA-4 and anti-PD1 checkpoint blockade therapies. Melanoma tumors derived from patients responding to immunotherapy exhibited significantly higher expression of NLRC5 and MHC class I-related genes compared to non-responding patients. In addition, multivariate analysis that included the number of tumor-associated non-synonymous mutations, predicted neo-antigen load and PD-L2 expression was capable of further stratifying responders and non-responders to anti-CTLA4 therapy. Moreover, expression or methylation of NLRC5 together with total somatic mutation number were significantly correlated with increased patient survival. These results suggest that NLRC5 tumor expression, alone or together with tumor mutation load constitutes a valuable predictive biomarker for both prognosis and response to anti-CTLA-4 and potentially anti-PD1 blockade immunotherapy in melanoma patients.
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spelling pubmed-78650242021-02-08 NLRC5/CITA expression correlates with efficient response to checkpoint blockade immunotherapy Yoshihama, Sayuri Cho, Steven X. Yeung, Jason Pan, Xuedong Lizee, Gregory Konganti, Kranti Johnson, Valen E. Kobayashi, Koichi S. Sci Rep Article Checkpoint blockade-mediated immunotherapy is emerging as an effective treatment modality for multiple cancer types. However, cancer cells frequently evade the immune system, compromising the effectiveness of immunotherapy. It is crucial to develop screening methods to identify the patients who would most benefit from these therapies because of the risk of the side effects and the high cost of treatment. Here we show that expression of the MHC class I transactivator (CITA), NLRC5, is important for efficient responses to anti-CTLA-4 and anti-PD1 checkpoint blockade therapies. Melanoma tumors derived from patients responding to immunotherapy exhibited significantly higher expression of NLRC5 and MHC class I-related genes compared to non-responding patients. In addition, multivariate analysis that included the number of tumor-associated non-synonymous mutations, predicted neo-antigen load and PD-L2 expression was capable of further stratifying responders and non-responders to anti-CTLA4 therapy. Moreover, expression or methylation of NLRC5 together with total somatic mutation number were significantly correlated with increased patient survival. These results suggest that NLRC5 tumor expression, alone or together with tumor mutation load constitutes a valuable predictive biomarker for both prognosis and response to anti-CTLA-4 and potentially anti-PD1 blockade immunotherapy in melanoma patients. Nature Publishing Group UK 2021-02-05 /pmc/articles/PMC7865024/ /pubmed/33547395 http://dx.doi.org/10.1038/s41598-021-82729-9 Text en © The Author(s) 2021 Open Access This 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/.
spellingShingle Article
Yoshihama, Sayuri
Cho, Steven X.
Yeung, Jason
Pan, Xuedong
Lizee, Gregory
Konganti, Kranti
Johnson, Valen E.
Kobayashi, Koichi S.
NLRC5/CITA expression correlates with efficient response to checkpoint blockade immunotherapy
title NLRC5/CITA expression correlates with efficient response to checkpoint blockade immunotherapy
title_full NLRC5/CITA expression correlates with efficient response to checkpoint blockade immunotherapy
title_fullStr NLRC5/CITA expression correlates with efficient response to checkpoint blockade immunotherapy
title_full_unstemmed NLRC5/CITA expression correlates with efficient response to checkpoint blockade immunotherapy
title_short NLRC5/CITA expression correlates with efficient response to checkpoint blockade immunotherapy
title_sort nlrc5/cita expression correlates with efficient response to checkpoint blockade immunotherapy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7865024/
https://www.ncbi.nlm.nih.gov/pubmed/33547395
http://dx.doi.org/10.1038/s41598-021-82729-9
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