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Integrated Analysis of RNA-Binding Proteins Associated With the Prognosis and Immunosuppression in Squamous Cell Carcinoma of Head and Neck
RNA-binding proteins (RBPs) interacting with target RNAs play essential roles in RNA metabolism at the post-transcription level. Perturbations of RBPs can accelerate cancer development and cause dysregulation of the immune cell function and activity leading to evade immune destruction of cancer cell...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7831273/ https://www.ncbi.nlm.nih.gov/pubmed/33505420 http://dx.doi.org/10.3389/fgene.2020.571403 |
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author | Hu, Guangsheng Jiang, Qingshan Liu, Lijun Peng, Hong Wang, Yaya Li, Shuyan Tang, Yanhua Yu, Jing Yang, Jing Liu, Zhifeng |
author_facet | Hu, Guangsheng Jiang, Qingshan Liu, Lijun Peng, Hong Wang, Yaya Li, Shuyan Tang, Yanhua Yu, Jing Yang, Jing Liu, Zhifeng |
author_sort | Hu, Guangsheng |
collection | PubMed |
description | RNA-binding proteins (RBPs) interacting with target RNAs play essential roles in RNA metabolism at the post-transcription level. Perturbations of RBPs can accelerate cancer development and cause dysregulation of the immune cell function and activity leading to evade immune destruction of cancer cells. However, few studies have systematically analyzed the potential prognostic value and functions of RBPs in squamous cell carcinoma of head and neck (SCCHN). Here, for the first time, we comprehensively identified 92 differentially expressed RBPs from The Cancer Genome Atlas (TCGA) database. In the training set, a prognosis risk model was constructed with six RBPs, including NCBP2, MKRN3, MRPL47, AZGP1, IGF2BP2, and EZH2, and validated by the TCGA test set, the TCGA all set, and the GEO data set. In addition, the risk score was related to the clinical stage, T classification, and N classification. Furthermore, the high-risk score was significantly correlated with immunosuppression, and low expression of EZH2 and AZGP1 and high expression of IGF2BP2 were the main factors. Thus, the risk model may serve as a prognostic signature and offer highlights for individualized immunotherapy in SCCHN patients. |
format | Online Article Text |
id | pubmed-7831273 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78312732021-01-26 Integrated Analysis of RNA-Binding Proteins Associated With the Prognosis and Immunosuppression in Squamous Cell Carcinoma of Head and Neck Hu, Guangsheng Jiang, Qingshan Liu, Lijun Peng, Hong Wang, Yaya Li, Shuyan Tang, Yanhua Yu, Jing Yang, Jing Liu, Zhifeng Front Genet Genetics RNA-binding proteins (RBPs) interacting with target RNAs play essential roles in RNA metabolism at the post-transcription level. Perturbations of RBPs can accelerate cancer development and cause dysregulation of the immune cell function and activity leading to evade immune destruction of cancer cells. However, few studies have systematically analyzed the potential prognostic value and functions of RBPs in squamous cell carcinoma of head and neck (SCCHN). Here, for the first time, we comprehensively identified 92 differentially expressed RBPs from The Cancer Genome Atlas (TCGA) database. In the training set, a prognosis risk model was constructed with six RBPs, including NCBP2, MKRN3, MRPL47, AZGP1, IGF2BP2, and EZH2, and validated by the TCGA test set, the TCGA all set, and the GEO data set. In addition, the risk score was related to the clinical stage, T classification, and N classification. Furthermore, the high-risk score was significantly correlated with immunosuppression, and low expression of EZH2 and AZGP1 and high expression of IGF2BP2 were the main factors. Thus, the risk model may serve as a prognostic signature and offer highlights for individualized immunotherapy in SCCHN patients. Frontiers Media S.A. 2021-01-11 /pmc/articles/PMC7831273/ /pubmed/33505420 http://dx.doi.org/10.3389/fgene.2020.571403 Text en Copyright © 2021 Hu, Jiang, Liu, Peng, Wang, Li, Tang, Yu, Yang and Liu. http://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 | Genetics Hu, Guangsheng Jiang, Qingshan Liu, Lijun Peng, Hong Wang, Yaya Li, Shuyan Tang, Yanhua Yu, Jing Yang, Jing Liu, Zhifeng Integrated Analysis of RNA-Binding Proteins Associated With the Prognosis and Immunosuppression in Squamous Cell Carcinoma of Head and Neck |
title | Integrated Analysis of RNA-Binding Proteins Associated With the Prognosis and Immunosuppression in Squamous Cell Carcinoma of Head and Neck |
title_full | Integrated Analysis of RNA-Binding Proteins Associated With the Prognosis and Immunosuppression in Squamous Cell Carcinoma of Head and Neck |
title_fullStr | Integrated Analysis of RNA-Binding Proteins Associated With the Prognosis and Immunosuppression in Squamous Cell Carcinoma of Head and Neck |
title_full_unstemmed | Integrated Analysis of RNA-Binding Proteins Associated With the Prognosis and Immunosuppression in Squamous Cell Carcinoma of Head and Neck |
title_short | Integrated Analysis of RNA-Binding Proteins Associated With the Prognosis and Immunosuppression in Squamous Cell Carcinoma of Head and Neck |
title_sort | integrated analysis of rna-binding proteins associated with the prognosis and immunosuppression in squamous cell carcinoma of head and neck |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7831273/ https://www.ncbi.nlm.nih.gov/pubmed/33505420 http://dx.doi.org/10.3389/fgene.2020.571403 |
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