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IFI30 as a prognostic biomarker and correlation with immune infiltrates in glioma
BACKGROUND: Increased evidence indicates that the tumour microenvironment (TME) plays an essential role in the development, treatment and prognosis of glioma. High expression of interferon-gamma-inducible protein 30 (IFI30) is associated with the malignant phenotype, but the effect of IFI30 on the t...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8667103/ https://www.ncbi.nlm.nih.gov/pubmed/34988195 http://dx.doi.org/10.21037/atm-21-5569 |
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author | Jiang, Wei Zheng, Feifei Yao, Taotao Gong, Fang Zheng, Wenjie Yao, Ninghua |
author_facet | Jiang, Wei Zheng, Feifei Yao, Taotao Gong, Fang Zheng, Wenjie Yao, Ninghua |
author_sort | Jiang, Wei |
collection | PubMed |
description | BACKGROUND: Increased evidence indicates that the tumour microenvironment (TME) plays an essential role in the development, treatment and prognosis of glioma. High expression of interferon-gamma-inducible protein 30 (IFI30) is associated with the malignant phenotype, but the effect of IFI30 on the tumour immune microenvironment and its potential role in the carcinogenesis of glioma remain unknown. METHODS: The RNA sequencing (RNA-seq) data of 33 types of human cancer were obtained from The Cancer Genome Atlas (TCGA) Genomic Data Commons (GDC). R software was used to perform analyses, such as the expression of IFI30 in pan-cancer, evaluation of IFI30 as a prognostic biomarker in glioma, the relationship between IFI30 expression and clinical characteristics, and immune checkpoint. TIMER was used to analyse the correlation of IFI30 expression level with immune cell infiltration, and also to conduct survival analysis for immune cells and IFI30 in low grade glioma (LGG). DAVID was used for Gene Ontology (GO) functional annotations and Kyoto Encyclopedia of Genes and Genomes (KEGG) for pathway analysis of the genes similar to IFI30 in glioma. The differentially expressed genes (DEGs) between the high- and low-IFI30 expression groups were determined by DESeq2. Gene set enrichment analysis (GSEA) was then conducted to identify IFI30-related functional significance based on the hallmark gene set. RESULTS: Dysregulated expression of IFI30 was associated with human cancers. High IFI30 expression was associated with poor overall survival (OS), disease-specific survival (DSS) and progression-free interval (PFI). Univariate and multivariate analyses identified IFI30 as an independent predictor for glioma. Meanwhile, IFI30 overexpression significantly correlated with high-grade tumours, poor OS, and immune infiltration. In addition, IFI30-associated genes significantly enriched the hallmark tumour progression-related clusters and cancer pathways. CONCLUSIONS: IFI30 is a prognostic biomarker correlated with immune infiltrates and acts as an oncogene in glioma. |
format | Online Article Text |
id | pubmed-8667103 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-86671032022-01-04 IFI30 as a prognostic biomarker and correlation with immune infiltrates in glioma Jiang, Wei Zheng, Feifei Yao, Taotao Gong, Fang Zheng, Wenjie Yao, Ninghua Ann Transl Med Original Article BACKGROUND: Increased evidence indicates that the tumour microenvironment (TME) plays an essential role in the development, treatment and prognosis of glioma. High expression of interferon-gamma-inducible protein 30 (IFI30) is associated with the malignant phenotype, but the effect of IFI30 on the tumour immune microenvironment and its potential role in the carcinogenesis of glioma remain unknown. METHODS: The RNA sequencing (RNA-seq) data of 33 types of human cancer were obtained from The Cancer Genome Atlas (TCGA) Genomic Data Commons (GDC). R software was used to perform analyses, such as the expression of IFI30 in pan-cancer, evaluation of IFI30 as a prognostic biomarker in glioma, the relationship between IFI30 expression and clinical characteristics, and immune checkpoint. TIMER was used to analyse the correlation of IFI30 expression level with immune cell infiltration, and also to conduct survival analysis for immune cells and IFI30 in low grade glioma (LGG). DAVID was used for Gene Ontology (GO) functional annotations and Kyoto Encyclopedia of Genes and Genomes (KEGG) for pathway analysis of the genes similar to IFI30 in glioma. The differentially expressed genes (DEGs) between the high- and low-IFI30 expression groups were determined by DESeq2. Gene set enrichment analysis (GSEA) was then conducted to identify IFI30-related functional significance based on the hallmark gene set. RESULTS: Dysregulated expression of IFI30 was associated with human cancers. High IFI30 expression was associated with poor overall survival (OS), disease-specific survival (DSS) and progression-free interval (PFI). Univariate and multivariate analyses identified IFI30 as an independent predictor for glioma. Meanwhile, IFI30 overexpression significantly correlated with high-grade tumours, poor OS, and immune infiltration. In addition, IFI30-associated genes significantly enriched the hallmark tumour progression-related clusters and cancer pathways. CONCLUSIONS: IFI30 is a prognostic biomarker correlated with immune infiltrates and acts as an oncogene in glioma. AME Publishing Company 2021-11 /pmc/articles/PMC8667103/ /pubmed/34988195 http://dx.doi.org/10.21037/atm-21-5569 Text en 2021 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Jiang, Wei Zheng, Feifei Yao, Taotao Gong, Fang Zheng, Wenjie Yao, Ninghua IFI30 as a prognostic biomarker and correlation with immune infiltrates in glioma |
title | IFI30 as a prognostic biomarker and correlation with immune infiltrates in glioma |
title_full | IFI30 as a prognostic biomarker and correlation with immune infiltrates in glioma |
title_fullStr | IFI30 as a prognostic biomarker and correlation with immune infiltrates in glioma |
title_full_unstemmed | IFI30 as a prognostic biomarker and correlation with immune infiltrates in glioma |
title_short | IFI30 as a prognostic biomarker and correlation with immune infiltrates in glioma |
title_sort | ifi30 as a prognostic biomarker and correlation with immune infiltrates in glioma |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8667103/ https://www.ncbi.nlm.nih.gov/pubmed/34988195 http://dx.doi.org/10.21037/atm-21-5569 |
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