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Prognostic Biomarker KIF18A and Its Correlations With Immune Infiltrates and Mitosis in Glioma
Background: Glioma is globally recognised as one of the most frequently occurring primary malignant brain tumours, making the identification of glioma biomarkers critically significant. The protein KIF18A (Kinesin Family Member 18A) is a member of the kinesin superfamily of microtubule-associated mo...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9110815/ https://www.ncbi.nlm.nih.gov/pubmed/35591854 http://dx.doi.org/10.3389/fgene.2022.852049 |
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author | Tao, Bing-Yan Liu, Yu-Yang Liu, Hong-Yu Zhang, Ze-Han Guan, Yun-Qian Wang, Hui Shi, Ying Zhang, Jun |
author_facet | Tao, Bing-Yan Liu, Yu-Yang Liu, Hong-Yu Zhang, Ze-Han Guan, Yun-Qian Wang, Hui Shi, Ying Zhang, Jun |
author_sort | Tao, Bing-Yan |
collection | PubMed |
description | Background: Glioma is globally recognised as one of the most frequently occurring primary malignant brain tumours, making the identification of glioma biomarkers critically significant. The protein KIF18A (Kinesin Family Member 18A) is a member of the kinesin superfamily of microtubule-associated molecular motors and has been shown to participate in cell cycle and mitotic metaphase and anaphase. This is the first investigation into the expression of KIF18A and its prognostic value, potential biological functions, and effects on the immune system and mitosis in glioma patients. Methods: Gene expression and clinicopathological analysis, enrichment analysis, and immune infiltration analysis were based on data obtained from The Cancer Genome Atlas (TCGA), with additional bioinformatics analyses performed. Statistical analysis was conducted in R software. Clinical samples were used to evaluate the expression of KIF18A via immunohistochemical staining. In addition, the expression level of KIF18A was validated on U87 cell line. Results: Our results highlighted that KIF18A plays a key role as an independent prognostic factor in patients with glioma. KIF18A was highly expressed in glioma tissues, and KIF18A expression was associated with age, World Health Organization grade, isocitrate dehydrogenase (IDH) status, 1p/19q codeletion, primary therapy outcome, and overall survival (OS). Enrichment analysis revealed that KIF18A is closely correlated with the cell cycle and mitosis. Single sample gene set enrichment analysis (ssGSEA) analysis revealed that KIF18A expression was related to the immune microenvironment. The increased expression of KIF18A in glioma was verified in clinical samples and U87 cell line. Conclusion: The identification of KIF18A as a new biomarker for glioma could help elucidate how changes in the glioma cell and immune microenvironment promote glioma malignancy. With further analysis, KIF18A may serve as an independent prognostic indicator for human glioma. |
format | Online Article Text |
id | pubmed-9110815 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91108152022-05-18 Prognostic Biomarker KIF18A and Its Correlations With Immune Infiltrates and Mitosis in Glioma Tao, Bing-Yan Liu, Yu-Yang Liu, Hong-Yu Zhang, Ze-Han Guan, Yun-Qian Wang, Hui Shi, Ying Zhang, Jun Front Genet Genetics Background: Glioma is globally recognised as one of the most frequently occurring primary malignant brain tumours, making the identification of glioma biomarkers critically significant. The protein KIF18A (Kinesin Family Member 18A) is a member of the kinesin superfamily of microtubule-associated molecular motors and has been shown to participate in cell cycle and mitotic metaphase and anaphase. This is the first investigation into the expression of KIF18A and its prognostic value, potential biological functions, and effects on the immune system and mitosis in glioma patients. Methods: Gene expression and clinicopathological analysis, enrichment analysis, and immune infiltration analysis were based on data obtained from The Cancer Genome Atlas (TCGA), with additional bioinformatics analyses performed. Statistical analysis was conducted in R software. Clinical samples were used to evaluate the expression of KIF18A via immunohistochemical staining. In addition, the expression level of KIF18A was validated on U87 cell line. Results: Our results highlighted that KIF18A plays a key role as an independent prognostic factor in patients with glioma. KIF18A was highly expressed in glioma tissues, and KIF18A expression was associated with age, World Health Organization grade, isocitrate dehydrogenase (IDH) status, 1p/19q codeletion, primary therapy outcome, and overall survival (OS). Enrichment analysis revealed that KIF18A is closely correlated with the cell cycle and mitosis. Single sample gene set enrichment analysis (ssGSEA) analysis revealed that KIF18A expression was related to the immune microenvironment. The increased expression of KIF18A in glioma was verified in clinical samples and U87 cell line. Conclusion: The identification of KIF18A as a new biomarker for glioma could help elucidate how changes in the glioma cell and immune microenvironment promote glioma malignancy. With further analysis, KIF18A may serve as an independent prognostic indicator for human glioma. Frontiers Media S.A. 2022-05-03 /pmc/articles/PMC9110815/ /pubmed/35591854 http://dx.doi.org/10.3389/fgene.2022.852049 Text en Copyright © 2022 Tao, Liu, Liu, Zhang, Guan, Wang, Shi and Zhang. 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 | Genetics Tao, Bing-Yan Liu, Yu-Yang Liu, Hong-Yu Zhang, Ze-Han Guan, Yun-Qian Wang, Hui Shi, Ying Zhang, Jun Prognostic Biomarker KIF18A and Its Correlations With Immune Infiltrates and Mitosis in Glioma |
title | Prognostic Biomarker KIF18A and Its Correlations With Immune Infiltrates and Mitosis in Glioma |
title_full | Prognostic Biomarker KIF18A and Its Correlations With Immune Infiltrates and Mitosis in Glioma |
title_fullStr | Prognostic Biomarker KIF18A and Its Correlations With Immune Infiltrates and Mitosis in Glioma |
title_full_unstemmed | Prognostic Biomarker KIF18A and Its Correlations With Immune Infiltrates and Mitosis in Glioma |
title_short | Prognostic Biomarker KIF18A and Its Correlations With Immune Infiltrates and Mitosis in Glioma |
title_sort | prognostic biomarker kif18a and its correlations with immune infiltrates and mitosis in glioma |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9110815/ https://www.ncbi.nlm.nih.gov/pubmed/35591854 http://dx.doi.org/10.3389/fgene.2022.852049 |
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