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MRGBP: A New Factor for Diagnosis and Prediction of Head and Neck Squamous Cell Carcinoma
MRG-binding protein (MRGBP) is a transcription factor widely involved in physiological and pathological processes. Many studies have discussed the relationship between the expression level of MRGBP and the prognosis of various malignant tumours. However, the role and clinicopathological significance...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9343194/ https://www.ncbi.nlm.nih.gov/pubmed/35924262 http://dx.doi.org/10.1155/2022/7281120 |
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author | Zhao, Cheng Wei, Chuang Chen, Xiatian Li, Peifeng |
author_facet | Zhao, Cheng Wei, Chuang Chen, Xiatian Li, Peifeng |
author_sort | Zhao, Cheng |
collection | PubMed |
description | MRG-binding protein (MRGBP) is a transcription factor widely involved in physiological and pathological processes. Many studies have discussed the relationship between the expression level of MRGBP and the prognosis of various malignant tumours. However, the role and clinicopathological significance of MRGBP in head and neck squamous cell carcinoma (HNSC) are unclear. In this study, the Wilcoxon signed-rank test and logistic regression were used to analyze the relationship between clinical characteristics and MRGBP expression in HNSC. The Kaplan-Meier plotter analysis and Cox regression analysis were established to evaluate the effect of MRGBP on prognosis, and the receiver operating characteristic (ROC) curve and nomogram was constructed. Gene set enrichment analysis (GSEA) and single-sample gene set enrichment analysis (ssGSEA) were used to analyze the correlation between MRGBP and immune infiltration. The results showed that the expression of MRGBP in HNSC tissues was significantly higher than that in normal tissues. The KM plotter analysis showed that the OS of HNSC patients was shorter. The multivariate Cox analysis further confirmed that increased expression of MRGBP was an independent risk factor for OS in HNSC patients. In addition, ROC analysis confirmed its diagnostic value and constructed prognostic nomograms, including age, T, M, N classification, pathological stage, and MRGBP. GSEA showed that MRGBP was associated with high expression of GPCR ligand binding, interleukin receptor binding, and neutrophil degranulation, and ssGSEA showed that MRGBP was associated with T cells and mast cells. In conclusion, MRGBP can serve as an independent prognostic biomarker related to immune invasion of head and neck squamous cell carcinoma. |
format | Online Article Text |
id | pubmed-9343194 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-93431942022-08-02 MRGBP: A New Factor for Diagnosis and Prediction of Head and Neck Squamous Cell Carcinoma Zhao, Cheng Wei, Chuang Chen, Xiatian Li, Peifeng Biomed Res Int Research Article MRG-binding protein (MRGBP) is a transcription factor widely involved in physiological and pathological processes. Many studies have discussed the relationship between the expression level of MRGBP and the prognosis of various malignant tumours. However, the role and clinicopathological significance of MRGBP in head and neck squamous cell carcinoma (HNSC) are unclear. In this study, the Wilcoxon signed-rank test and logistic regression were used to analyze the relationship between clinical characteristics and MRGBP expression in HNSC. The Kaplan-Meier plotter analysis and Cox regression analysis were established to evaluate the effect of MRGBP on prognosis, and the receiver operating characteristic (ROC) curve and nomogram was constructed. Gene set enrichment analysis (GSEA) and single-sample gene set enrichment analysis (ssGSEA) were used to analyze the correlation between MRGBP and immune infiltration. The results showed that the expression of MRGBP in HNSC tissues was significantly higher than that in normal tissues. The KM plotter analysis showed that the OS of HNSC patients was shorter. The multivariate Cox analysis further confirmed that increased expression of MRGBP was an independent risk factor for OS in HNSC patients. In addition, ROC analysis confirmed its diagnostic value and constructed prognostic nomograms, including age, T, M, N classification, pathological stage, and MRGBP. GSEA showed that MRGBP was associated with high expression of GPCR ligand binding, interleukin receptor binding, and neutrophil degranulation, and ssGSEA showed that MRGBP was associated with T cells and mast cells. In conclusion, MRGBP can serve as an independent prognostic biomarker related to immune invasion of head and neck squamous cell carcinoma. Hindawi 2022-07-25 /pmc/articles/PMC9343194/ /pubmed/35924262 http://dx.doi.org/10.1155/2022/7281120 Text en Copyright © 2022 Cheng Zhao et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Zhao, Cheng Wei, Chuang Chen, Xiatian Li, Peifeng MRGBP: A New Factor for Diagnosis and Prediction of Head and Neck Squamous Cell Carcinoma |
title | MRGBP: A New Factor for Diagnosis and Prediction of Head and Neck Squamous Cell Carcinoma |
title_full | MRGBP: A New Factor for Diagnosis and Prediction of Head and Neck Squamous Cell Carcinoma |
title_fullStr | MRGBP: A New Factor for Diagnosis and Prediction of Head and Neck Squamous Cell Carcinoma |
title_full_unstemmed | MRGBP: A New Factor for Diagnosis and Prediction of Head and Neck Squamous Cell Carcinoma |
title_short | MRGBP: A New Factor for Diagnosis and Prediction of Head and Neck Squamous Cell Carcinoma |
title_sort | mrgbp: a new factor for diagnosis and prediction of head and neck squamous cell carcinoma |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9343194/ https://www.ncbi.nlm.nih.gov/pubmed/35924262 http://dx.doi.org/10.1155/2022/7281120 |
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