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DNA Damage Response Evaluation Provides Novel Insights for Personalized Immunotherapy in Glioma

BACKGROUND: DNA damage response (DDR) proficiency is the principal mechanism of temozolomide (TMZ) resistance in glioma. Accumulating evidence has also suggested the determining role of DDR in anticancer immunity. We propose that a comprehensive investigation of the DDR landscape can optimize glioma...

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Autores principales: Chen, Mu, Huang, Bingsong, Zhu, Lei, Wang, Qi, Pang, Ying, Cheng, Meng, Lian, Hao, Liu, Min, Zhao, Kaijun, Xu, Siyi, Zhang, Jing, Zhong, Chunlong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9204352/
https://www.ncbi.nlm.nih.gov/pubmed/35720326
http://dx.doi.org/10.3389/fimmu.2022.875648
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author Chen, Mu
Huang, Bingsong
Zhu, Lei
Wang, Qi
Pang, Ying
Cheng, Meng
Lian, Hao
Liu, Min
Zhao, Kaijun
Xu, Siyi
Zhang, Jing
Zhong, Chunlong
author_facet Chen, Mu
Huang, Bingsong
Zhu, Lei
Wang, Qi
Pang, Ying
Cheng, Meng
Lian, Hao
Liu, Min
Zhao, Kaijun
Xu, Siyi
Zhang, Jing
Zhong, Chunlong
author_sort Chen, Mu
collection PubMed
description BACKGROUND: DNA damage response (DDR) proficiency is the principal mechanism of temozolomide (TMZ) resistance in glioma. Accumulating evidence has also suggested the determining role of DDR in anticancer immunity. We propose that a comprehensive investigation of the DDR landscape can optimize glioma treatment. METHODS: We identified the pronounced enrichment of DDR in TMZ-resistant glioma cells by RNA sequencing. Nine differentially expressed genes between TMZ-sensitive/resistant glioma cells were selected to construct the DDR score through lasso regression analysis. Two glioma cohorts from TCGA and CGGA were interrogated to evaluate the predictive ability of DDR score. Multiple algorithms were applied to estimate the immunotherapeutic responses of two DDR phenotypes. Immunohistochemistry was used to determine the protein levels of PD-L1 and TGFβ in glioma specimens. The oncoPredict package was employed to predict the candidate chemotherapy agents. RESULTS: DDR score exhibited a robust prognostic capability in TCGA and CGGA cohorts and served as an independent predictive biomarker in glioma patients. Functional enrichment analyses revealed that high and low DDR score groups were characterized by distinct immune activity and metabolic processes. Elevated levels of infiltrating immune cells (including CD8+ T cells, CD4+ T cells, and dendritic cells) were observed in the high DDR score glioma. Further, high DDR scores correlated with increased mutation burden, up-regulated immune checkpoints, and tumor immunity activation, indicating a profound interplay between DDR score and glioma immunogenicity. In addition, PD-L1 and TGFβ were overexpressed in recurrent glioma specimens compared with primary ones. Finally, we estimated that PI3K inhibitors may serve as latent regimens for high DDR score patients. CONCLUSION: Our study highlighted the promising prognostic role of DDR score in glioma. Individual assessment of DDR status for patients with glioma may provide new clues for developing immunotherapeutic strategies.
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spelling pubmed-92043522022-06-18 DNA Damage Response Evaluation Provides Novel Insights for Personalized Immunotherapy in Glioma Chen, Mu Huang, Bingsong Zhu, Lei Wang, Qi Pang, Ying Cheng, Meng Lian, Hao Liu, Min Zhao, Kaijun Xu, Siyi Zhang, Jing Zhong, Chunlong Front Immunol Immunology BACKGROUND: DNA damage response (DDR) proficiency is the principal mechanism of temozolomide (TMZ) resistance in glioma. Accumulating evidence has also suggested the determining role of DDR in anticancer immunity. We propose that a comprehensive investigation of the DDR landscape can optimize glioma treatment. METHODS: We identified the pronounced enrichment of DDR in TMZ-resistant glioma cells by RNA sequencing. Nine differentially expressed genes between TMZ-sensitive/resistant glioma cells were selected to construct the DDR score through lasso regression analysis. Two glioma cohorts from TCGA and CGGA were interrogated to evaluate the predictive ability of DDR score. Multiple algorithms were applied to estimate the immunotherapeutic responses of two DDR phenotypes. Immunohistochemistry was used to determine the protein levels of PD-L1 and TGFβ in glioma specimens. The oncoPredict package was employed to predict the candidate chemotherapy agents. RESULTS: DDR score exhibited a robust prognostic capability in TCGA and CGGA cohorts and served as an independent predictive biomarker in glioma patients. Functional enrichment analyses revealed that high and low DDR score groups were characterized by distinct immune activity and metabolic processes. Elevated levels of infiltrating immune cells (including CD8+ T cells, CD4+ T cells, and dendritic cells) were observed in the high DDR score glioma. Further, high DDR scores correlated with increased mutation burden, up-regulated immune checkpoints, and tumor immunity activation, indicating a profound interplay between DDR score and glioma immunogenicity. In addition, PD-L1 and TGFβ were overexpressed in recurrent glioma specimens compared with primary ones. Finally, we estimated that PI3K inhibitors may serve as latent regimens for high DDR score patients. CONCLUSION: Our study highlighted the promising prognostic role of DDR score in glioma. Individual assessment of DDR status for patients with glioma may provide new clues for developing immunotherapeutic strategies. Frontiers Media S.A. 2022-05-26 /pmc/articles/PMC9204352/ /pubmed/35720326 http://dx.doi.org/10.3389/fimmu.2022.875648 Text en Copyright © 2022 Chen, Huang, Zhu, Wang, Pang, Cheng, Lian, Liu, Zhao, Xu, Zhang and Zhong https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Chen, Mu
Huang, Bingsong
Zhu, Lei
Wang, Qi
Pang, Ying
Cheng, Meng
Lian, Hao
Liu, Min
Zhao, Kaijun
Xu, Siyi
Zhang, Jing
Zhong, Chunlong
DNA Damage Response Evaluation Provides Novel Insights for Personalized Immunotherapy in Glioma
title DNA Damage Response Evaluation Provides Novel Insights for Personalized Immunotherapy in Glioma
title_full DNA Damage Response Evaluation Provides Novel Insights for Personalized Immunotherapy in Glioma
title_fullStr DNA Damage Response Evaluation Provides Novel Insights for Personalized Immunotherapy in Glioma
title_full_unstemmed DNA Damage Response Evaluation Provides Novel Insights for Personalized Immunotherapy in Glioma
title_short DNA Damage Response Evaluation Provides Novel Insights for Personalized Immunotherapy in Glioma
title_sort dna damage response evaluation provides novel insights for personalized immunotherapy in glioma
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9204352/
https://www.ncbi.nlm.nih.gov/pubmed/35720326
http://dx.doi.org/10.3389/fimmu.2022.875648
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