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Identification and validation of transferrin receptor protein 1 for predicting prognosis and immune infiltration in lower grade glioma

INTRODUCTION: Transferrin receptor protein 1 (TFRC), an ananda molecule associated with ferroptosis, has been identified as affecting a wide spectrum of pathological processes in various cancers, but the prognostic value correlates with the tumor microenvironment of TFRC in lower-grade glioma (LGG)...

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Autores principales: Wu, Hongrong, He, Haoyang, Huang, Jiexiong, Wang, Chuan, Dong, Yuejiao, Lin, Ruilin, Cheng, Zhuofeng, Qiu, Qiancheng, Hong, LiangLi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9723399/
https://www.ncbi.nlm.nih.gov/pubmed/36483569
http://dx.doi.org/10.3389/fnmol.2022.972308
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author Wu, Hongrong
He, Haoyang
Huang, Jiexiong
Wang, Chuan
Dong, Yuejiao
Lin, Ruilin
Cheng, Zhuofeng
Qiu, Qiancheng
Hong, LiangLi
author_facet Wu, Hongrong
He, Haoyang
Huang, Jiexiong
Wang, Chuan
Dong, Yuejiao
Lin, Ruilin
Cheng, Zhuofeng
Qiu, Qiancheng
Hong, LiangLi
author_sort Wu, Hongrong
collection PubMed
description INTRODUCTION: Transferrin receptor protein 1 (TFRC), an ananda molecule associated with ferroptosis, has been identified as affecting a wide spectrum of pathological processes in various cancers, but the prognostic value correlates with the tumor microenvironment of TFRC in lower-grade glioma (LGG) is still unclear. MATERIALS AND METHODS: Clinical pathological information and gene expression data of patients with LGG come from The Cancer Genome Atlas (TCGA), Chinese Glioma Genome Atlas (CGGA), GTEx, Oncomine, UCSC Xena, and GEO databases. We then used various bioinformatics methods and mathematical models to analyze those data, aiming to investigate the clinical significance of TFRC in LGG and illustrate its association with tumor immunity. In addition, the molecular function and mechanisms of TFRC were revealed by gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and gene set enrichment analysis (GSEA). Immunohistochemical experiments and single-cell analysis have been performed. RESULTS: TFRC expression was highly expressed in many tumors and showed a poor prognosis. Including gliomas, it was significantly associated with several poor clinical prognostic variables, tumor immune microenvironment, tumor mutational burden (TMB), m6a modification, and ferroptosis in LGG. TFRC as a key factor was further used to build a prediction nomogram. The C-index, calibration curve, and decision curve analysis showed the nomogram was clinically useful and calibration was accurate. At the same time, we also demonstrated that promoter hypomethylation of DNA upstream of TFRC could lead to high TFRC expression and poor overall survival. There is a significant correlation between TFRC and CD8 + T cell, macrophage cell infiltration, and several immune checkpoints, such as PD-L1(cd274), CTLA4, and PD1, suggesting a novel direction for future clinical application. Functional and molecular mechanism analysis showed an association of TFRC expression with immune-related pathways through GSEA, GO, and KEGG analysis. Finally, immunohistochemical experiments and single-cell analysis confirmed the expression of TFRC in glioma. CONCLUSION: TFRC may be a potential prognostic biomarker and an immunotherapeutic target for glioma.
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spelling pubmed-97233992022-12-07 Identification and validation of transferrin receptor protein 1 for predicting prognosis and immune infiltration in lower grade glioma Wu, Hongrong He, Haoyang Huang, Jiexiong Wang, Chuan Dong, Yuejiao Lin, Ruilin Cheng, Zhuofeng Qiu, Qiancheng Hong, LiangLi Front Mol Neurosci Neuroscience INTRODUCTION: Transferrin receptor protein 1 (TFRC), an ananda molecule associated with ferroptosis, has been identified as affecting a wide spectrum of pathological processes in various cancers, but the prognostic value correlates with the tumor microenvironment of TFRC in lower-grade glioma (LGG) is still unclear. MATERIALS AND METHODS: Clinical pathological information and gene expression data of patients with LGG come from The Cancer Genome Atlas (TCGA), Chinese Glioma Genome Atlas (CGGA), GTEx, Oncomine, UCSC Xena, and GEO databases. We then used various bioinformatics methods and mathematical models to analyze those data, aiming to investigate the clinical significance of TFRC in LGG and illustrate its association with tumor immunity. In addition, the molecular function and mechanisms of TFRC were revealed by gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and gene set enrichment analysis (GSEA). Immunohistochemical experiments and single-cell analysis have been performed. RESULTS: TFRC expression was highly expressed in many tumors and showed a poor prognosis. Including gliomas, it was significantly associated with several poor clinical prognostic variables, tumor immune microenvironment, tumor mutational burden (TMB), m6a modification, and ferroptosis in LGG. TFRC as a key factor was further used to build a prediction nomogram. The C-index, calibration curve, and decision curve analysis showed the nomogram was clinically useful and calibration was accurate. At the same time, we also demonstrated that promoter hypomethylation of DNA upstream of TFRC could lead to high TFRC expression and poor overall survival. There is a significant correlation between TFRC and CD8 + T cell, macrophage cell infiltration, and several immune checkpoints, such as PD-L1(cd274), CTLA4, and PD1, suggesting a novel direction for future clinical application. Functional and molecular mechanism analysis showed an association of TFRC expression with immune-related pathways through GSEA, GO, and KEGG analysis. Finally, immunohistochemical experiments and single-cell analysis confirmed the expression of TFRC in glioma. CONCLUSION: TFRC may be a potential prognostic biomarker and an immunotherapeutic target for glioma. Frontiers Media S.A. 2022-11-22 /pmc/articles/PMC9723399/ /pubmed/36483569 http://dx.doi.org/10.3389/fnmol.2022.972308 Text en Copyright © 2022 Wu, He, Huang, Wang, Dong, Lin, Cheng, Qiu and Hong. 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 Neuroscience
Wu, Hongrong
He, Haoyang
Huang, Jiexiong
Wang, Chuan
Dong, Yuejiao
Lin, Ruilin
Cheng, Zhuofeng
Qiu, Qiancheng
Hong, LiangLi
Identification and validation of transferrin receptor protein 1 for predicting prognosis and immune infiltration in lower grade glioma
title Identification and validation of transferrin receptor protein 1 for predicting prognosis and immune infiltration in lower grade glioma
title_full Identification and validation of transferrin receptor protein 1 for predicting prognosis and immune infiltration in lower grade glioma
title_fullStr Identification and validation of transferrin receptor protein 1 for predicting prognosis and immune infiltration in lower grade glioma
title_full_unstemmed Identification and validation of transferrin receptor protein 1 for predicting prognosis and immune infiltration in lower grade glioma
title_short Identification and validation of transferrin receptor protein 1 for predicting prognosis and immune infiltration in lower grade glioma
title_sort identification and validation of transferrin receptor protein 1 for predicting prognosis and immune infiltration in lower grade glioma
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9723399/
https://www.ncbi.nlm.nih.gov/pubmed/36483569
http://dx.doi.org/10.3389/fnmol.2022.972308
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