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m(6)A modification patterns and tumor immune landscape in clear cell renal carcinoma

BACKGROUND: Recent studies have focused on the correlation between N6-methyladenosine (m(6)A) modification and specific tumor-infiltrating immune cells. However, the potential roles of m(6)A modification in the tumor immune landscape remain elusive. METHODS: We comprehensively evaluated the m(6)A mo...

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Autores principales: Zhong, Jiehui, Liu, Zezhen, Cai, Chao, Duan, Xiaolu, Deng, Tuo, Zeng, Guohua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7880120/
https://www.ncbi.nlm.nih.gov/pubmed/33574053
http://dx.doi.org/10.1136/jitc-2020-001646
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author Zhong, Jiehui
Liu, Zezhen
Cai, Chao
Duan, Xiaolu
Deng, Tuo
Zeng, Guohua
author_facet Zhong, Jiehui
Liu, Zezhen
Cai, Chao
Duan, Xiaolu
Deng, Tuo
Zeng, Guohua
author_sort Zhong, Jiehui
collection PubMed
description BACKGROUND: Recent studies have focused on the correlation between N6-methyladenosine (m(6)A) modification and specific tumor-infiltrating immune cells. However, the potential roles of m(6)A modification in the tumor immune landscape remain elusive. METHODS: We comprehensively evaluated the m(6)A modification patterns and tumor immune landscape of 513 clear cell renal cell carcinoma (ccRCC) patients, and correlated the m(6)A modification patterns with the immune landscape. The m6Ascore was established using principal component analysis. Multivariate Cox regression analysis was performed to evaluate the prognostic value of the m6Ascore. RESULTS: We identified three m6Aclusters—characterized by differences in Th17 signature, extent of intratumor heterogeneity, overall cell proliferation, aneuploidy, expression of immunomodulatory genes, overall somatic copy number alterations, and prognosis. The m6Ascore was established to quantify the m(6)A modification pattern of individual ccRCC patients. Further analyses revealed that the m6Ascore was an independent prognostic factor of ccRCC. Finally, we verified the prognostic value of the m6Ascore in the programmed cell death protein 1 (PD-1) blockade therapy of patients with advanced ccRCC. CONCLUSIONS: This study demonstrated the correlation between m(6)A modification and the tumor immune landscape in ccRCC. The comprehensive evaluation of m(6)A modification patterns in individual ccRCC patients enhances our understanding of the tumor immune landscape and provides a new approach toward new and improved immunotherapeutic strategies for ccRCC patients.
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spelling pubmed-78801202021-02-24 m(6)A modification patterns and tumor immune landscape in clear cell renal carcinoma Zhong, Jiehui Liu, Zezhen Cai, Chao Duan, Xiaolu Deng, Tuo Zeng, Guohua J Immunother Cancer Immunotherapy Biomarkers BACKGROUND: Recent studies have focused on the correlation between N6-methyladenosine (m(6)A) modification and specific tumor-infiltrating immune cells. However, the potential roles of m(6)A modification in the tumor immune landscape remain elusive. METHODS: We comprehensively evaluated the m(6)A modification patterns and tumor immune landscape of 513 clear cell renal cell carcinoma (ccRCC) patients, and correlated the m(6)A modification patterns with the immune landscape. The m6Ascore was established using principal component analysis. Multivariate Cox regression analysis was performed to evaluate the prognostic value of the m6Ascore. RESULTS: We identified three m6Aclusters—characterized by differences in Th17 signature, extent of intratumor heterogeneity, overall cell proliferation, aneuploidy, expression of immunomodulatory genes, overall somatic copy number alterations, and prognosis. The m6Ascore was established to quantify the m(6)A modification pattern of individual ccRCC patients. Further analyses revealed that the m6Ascore was an independent prognostic factor of ccRCC. Finally, we verified the prognostic value of the m6Ascore in the programmed cell death protein 1 (PD-1) blockade therapy of patients with advanced ccRCC. CONCLUSIONS: This study demonstrated the correlation between m(6)A modification and the tumor immune landscape in ccRCC. The comprehensive evaluation of m(6)A modification patterns in individual ccRCC patients enhances our understanding of the tumor immune landscape and provides a new approach toward new and improved immunotherapeutic strategies for ccRCC patients. BMJ Publishing Group 2021-02-11 /pmc/articles/PMC7880120/ /pubmed/33574053 http://dx.doi.org/10.1136/jitc-2020-001646 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Immunotherapy Biomarkers
Zhong, Jiehui
Liu, Zezhen
Cai, Chao
Duan, Xiaolu
Deng, Tuo
Zeng, Guohua
m(6)A modification patterns and tumor immune landscape in clear cell renal carcinoma
title m(6)A modification patterns and tumor immune landscape in clear cell renal carcinoma
title_full m(6)A modification patterns and tumor immune landscape in clear cell renal carcinoma
title_fullStr m(6)A modification patterns and tumor immune landscape in clear cell renal carcinoma
title_full_unstemmed m(6)A modification patterns and tumor immune landscape in clear cell renal carcinoma
title_short m(6)A modification patterns and tumor immune landscape in clear cell renal carcinoma
title_sort m(6)a modification patterns and tumor immune landscape in clear cell renal carcinoma
topic Immunotherapy Biomarkers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7880120/
https://www.ncbi.nlm.nih.gov/pubmed/33574053
http://dx.doi.org/10.1136/jitc-2020-001646
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