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Characterization of METTL7B to Evaluate TME and Predict Prognosis by Integrative Analysis of Multi-Omics Data in Glioma
Glioma is the most common and aggressive type of primary brain malignant tumor with limited treatment approaches. Methyltransferase-like 7B (METTL7B) is associated with the pathogenesis of several diseases but is rarely studied in glioma. In this study, 1,493 glioma samples (data from our cohort, TC...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8484875/ https://www.ncbi.nlm.nih.gov/pubmed/34604305 http://dx.doi.org/10.3389/fmolb.2021.727481 |
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author | Chen, Xiaochuan Li, Chao Li, Ying Wu, Shihong Liu, Wei Lin, Ting Li, Miaomiao Weng, Youliang Lin, Wanzun Qiu, Sufang |
author_facet | Chen, Xiaochuan Li, Chao Li, Ying Wu, Shihong Liu, Wei Lin, Ting Li, Miaomiao Weng, Youliang Lin, Wanzun Qiu, Sufang |
author_sort | Chen, Xiaochuan |
collection | PubMed |
description | Glioma is the most common and aggressive type of primary brain malignant tumor with limited treatment approaches. Methyltransferase-like 7B (METTL7B) is associated with the pathogenesis of several diseases but is rarely studied in glioma. In this study, 1,493 glioma samples (data from our cohort, TCGA, and CGGA) expressing METTL7B were used to explore its prognostic value and mechanism in the immune microenvironment. Results showed that high expression of METTL7B is associated with poor prognosis and abundant immunosuppressive cells. Further, functional enrichment showed that METTL7B is involved in the negative regulation of immunity and carcinogenic signaling pathways. Moreover, a METTL7B-related prognostic signature constructed based on multi-omics showed a good prediction of the overall survival (OS) time of glioma patients. In conclusion, METTL7B is a potential prognostic biomarker. In addition, the prognostic prediction model constructed in this study can be used in clinical setups for the development of novel effective therapeutic strategies for glioma patients and improving overall survival. |
format | Online Article Text |
id | pubmed-8484875 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84848752021-10-02 Characterization of METTL7B to Evaluate TME and Predict Prognosis by Integrative Analysis of Multi-Omics Data in Glioma Chen, Xiaochuan Li, Chao Li, Ying Wu, Shihong Liu, Wei Lin, Ting Li, Miaomiao Weng, Youliang Lin, Wanzun Qiu, Sufang Front Mol Biosci Molecular Biosciences Glioma is the most common and aggressive type of primary brain malignant tumor with limited treatment approaches. Methyltransferase-like 7B (METTL7B) is associated with the pathogenesis of several diseases but is rarely studied in glioma. In this study, 1,493 glioma samples (data from our cohort, TCGA, and CGGA) expressing METTL7B were used to explore its prognostic value and mechanism in the immune microenvironment. Results showed that high expression of METTL7B is associated with poor prognosis and abundant immunosuppressive cells. Further, functional enrichment showed that METTL7B is involved in the negative regulation of immunity and carcinogenic signaling pathways. Moreover, a METTL7B-related prognostic signature constructed based on multi-omics showed a good prediction of the overall survival (OS) time of glioma patients. In conclusion, METTL7B is a potential prognostic biomarker. In addition, the prognostic prediction model constructed in this study can be used in clinical setups for the development of novel effective therapeutic strategies for glioma patients and improving overall survival. Frontiers Media S.A. 2021-09-17 /pmc/articles/PMC8484875/ /pubmed/34604305 http://dx.doi.org/10.3389/fmolb.2021.727481 Text en Copyright © 2021 Chen, Li, Li, Wu, Liu, Lin, Li, Weng, Lin and Qiu. 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 | Molecular Biosciences Chen, Xiaochuan Li, Chao Li, Ying Wu, Shihong Liu, Wei Lin, Ting Li, Miaomiao Weng, Youliang Lin, Wanzun Qiu, Sufang Characterization of METTL7B to Evaluate TME and Predict Prognosis by Integrative Analysis of Multi-Omics Data in Glioma |
title | Characterization of METTL7B to Evaluate TME and Predict Prognosis by Integrative Analysis of Multi-Omics Data in Glioma |
title_full | Characterization of METTL7B to Evaluate TME and Predict Prognosis by Integrative Analysis of Multi-Omics Data in Glioma |
title_fullStr | Characterization of METTL7B to Evaluate TME and Predict Prognosis by Integrative Analysis of Multi-Omics Data in Glioma |
title_full_unstemmed | Characterization of METTL7B to Evaluate TME and Predict Prognosis by Integrative Analysis of Multi-Omics Data in Glioma |
title_short | Characterization of METTL7B to Evaluate TME and Predict Prognosis by Integrative Analysis of Multi-Omics Data in Glioma |
title_sort | characterization of mettl7b to evaluate tme and predict prognosis by integrative analysis of multi-omics data in glioma |
topic | Molecular Biosciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8484875/ https://www.ncbi.nlm.nih.gov/pubmed/34604305 http://dx.doi.org/10.3389/fmolb.2021.727481 |
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