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Identification of CircRNA signature associated with tumor immune infiltration to predict therapeutic efficacy of immunotherapy
Circular RNAs (circRNAs) play important roles in the regulation of cancer. However, the clinical implications and regulatory networks of circRNAs in cancer patients receiving immune checkpoint blockades (ICB) have not been fully elucidated. Here, we characterize circRNA expression profiles in two in...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10156742/ https://www.ncbi.nlm.nih.gov/pubmed/37137884 http://dx.doi.org/10.1038/s41467-023-38232-y |
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author | Dong, Yu Gao, Qian Chen, Yong Zhang, Zhao Du, Yanhua Liu, Yuan Zhang, Guangxiong Li, Shengli Wang, Gaoyang Chen, Xiang Liu, Hong Han, Leng Ye, Youqiong |
author_facet | Dong, Yu Gao, Qian Chen, Yong Zhang, Zhao Du, Yanhua Liu, Yuan Zhang, Guangxiong Li, Shengli Wang, Gaoyang Chen, Xiang Liu, Hong Han, Leng Ye, Youqiong |
author_sort | Dong, Yu |
collection | PubMed |
description | Circular RNAs (circRNAs) play important roles in the regulation of cancer. However, the clinical implications and regulatory networks of circRNAs in cancer patients receiving immune checkpoint blockades (ICB) have not been fully elucidated. Here, we characterize circRNA expression profiles in two independent cohorts of 157 ICB-treated advanced melanoma patients and reveal overall overexpression of circRNAs in ICB non-responders in both pre-treatment and early during therapy. Then, we construct circRNA-miRNA-mRNA regulatory networks to reveal circRNA-related signaling pathways in the context of ICB treatment. Further, we construct an ICB-related circRNA signature (ICBcircSig) score model based on progression-free survival-related circRNAs to predict immunotherapy efficacy. Mechanistically, the overexpression of ICBcircSig circTMTC3 and circFAM117B could increase PD-L1 expression via the miR-142-5p/PD-L1 axis, thus reducing T cell activity and leading to immune escape. Overall, our study characterizes circRNA profiles and regulatory networks in ICB-treated patients, and highlights the clinical utility of circRNAs as predictive biomarkers of immunotherapy. |
format | Online Article Text |
id | pubmed-10156742 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-101567422023-05-05 Identification of CircRNA signature associated with tumor immune infiltration to predict therapeutic efficacy of immunotherapy Dong, Yu Gao, Qian Chen, Yong Zhang, Zhao Du, Yanhua Liu, Yuan Zhang, Guangxiong Li, Shengli Wang, Gaoyang Chen, Xiang Liu, Hong Han, Leng Ye, Youqiong Nat Commun Article Circular RNAs (circRNAs) play important roles in the regulation of cancer. However, the clinical implications and regulatory networks of circRNAs in cancer patients receiving immune checkpoint blockades (ICB) have not been fully elucidated. Here, we characterize circRNA expression profiles in two independent cohorts of 157 ICB-treated advanced melanoma patients and reveal overall overexpression of circRNAs in ICB non-responders in both pre-treatment and early during therapy. Then, we construct circRNA-miRNA-mRNA regulatory networks to reveal circRNA-related signaling pathways in the context of ICB treatment. Further, we construct an ICB-related circRNA signature (ICBcircSig) score model based on progression-free survival-related circRNAs to predict immunotherapy efficacy. Mechanistically, the overexpression of ICBcircSig circTMTC3 and circFAM117B could increase PD-L1 expression via the miR-142-5p/PD-L1 axis, thus reducing T cell activity and leading to immune escape. Overall, our study characterizes circRNA profiles and regulatory networks in ICB-treated patients, and highlights the clinical utility of circRNAs as predictive biomarkers of immunotherapy. Nature Publishing Group UK 2023-05-03 /pmc/articles/PMC10156742/ /pubmed/37137884 http://dx.doi.org/10.1038/s41467-023-38232-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Dong, Yu Gao, Qian Chen, Yong Zhang, Zhao Du, Yanhua Liu, Yuan Zhang, Guangxiong Li, Shengli Wang, Gaoyang Chen, Xiang Liu, Hong Han, Leng Ye, Youqiong Identification of CircRNA signature associated with tumor immune infiltration to predict therapeutic efficacy of immunotherapy |
title | Identification of CircRNA signature associated with tumor immune infiltration to predict therapeutic efficacy of immunotherapy |
title_full | Identification of CircRNA signature associated with tumor immune infiltration to predict therapeutic efficacy of immunotherapy |
title_fullStr | Identification of CircRNA signature associated with tumor immune infiltration to predict therapeutic efficacy of immunotherapy |
title_full_unstemmed | Identification of CircRNA signature associated with tumor immune infiltration to predict therapeutic efficacy of immunotherapy |
title_short | Identification of CircRNA signature associated with tumor immune infiltration to predict therapeutic efficacy of immunotherapy |
title_sort | identification of circrna signature associated with tumor immune infiltration to predict therapeutic efficacy of immunotherapy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10156742/ https://www.ncbi.nlm.nih.gov/pubmed/37137884 http://dx.doi.org/10.1038/s41467-023-38232-y |
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