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ORIGINAL RESEARCH article

Front. Genet.

Sec. Cancer Genetics and Oncogenomics

Volume 16 - 2025 | doi: 10.3389/fgene.2025.1540342

This article is part of the Research Topic Screening and discovering novel biological biomarkers by omic-data to revolutionize tumor management View all 7 articles

Study on the mechanism of KIF18B affecting the malignant progression of glioblastoma cells

Provisionally accepted
xiangyue su xiangyue su 1Min Yang Min Yang 1rong wang rong wang 1xiangjian zeng xiangjian zeng 1gangliang wei gangliang wei 1suli mai suli mai 1Huang Liji Huang Liji 2*
  • 1 Liuzhou People's Hospital, Liuzhou, Guangxi Zhuang Region, China
  • 2 Liuzhou Traditional Chinese Medical Hospital, Liuzhou, Guangxi Zhuang Region, China

The final, formatted version of the article will be published soon.

    Background: Member of the driver protein family 18B (KIF18B) is a potential prognostic marker and is highly expressed in a variety of cancers. However, its function in glioblastoma (GBM) remains unclear.The expression data of KIF18B were obtained by accessing TCGA, CGGA and GEPIA databases, and verified by western blot assay and immunohistochemistry.Glioma RNA sequencing data and clinical information were downloaded from TCGA and CGGA databases, and Kaplan-plotter survival analysis and Multivariable COX regression analysis were performed to plot ROC survival curves at 1, 3 and 5 years. cBioPortal and MethSurv were used to carefully examine the prognostic value of KIF18B methylation. CBioPortal database and UALCAN database were used to obtain KIF18B co-expressed genes for GO and KEGG enrichment analysis, and gene set enrichment analysis (GSEA) software was used to explore the signaling pathway of KIF18B regulation of GBM. Finally, the correlation between KIF18B and GBM infiltration was studied by using TIMER database and TCGA dataset.Results: KIF18B was highly expressed in various cancers including GBM, and was positively correlated with glioma grade and negatively correlated with prognosis.Multivariable COX regression analysis and ROC curve showed that KIF18B was one of the independent risk factors for glioma prognosis. KIF18B methylation was negatively correlated with KIF18B expression, and the overall survival rate of patients with KIF18B hypomethylation was lower than that of patients with KIF18B hypermethylation. A total of 124 co-expressed genes were selected from the database. KEGG pathway analysis showed that KIF18B was mainly involved in the malignant progression of glioma through P53 and other signaling pathways. GSEA analysis showed that the high expression group of KIF18B was mainly enriched in E2F, G2M and other signaling pathways. The results of immunoassay showed that the expression of KIF18B was correlated with immune infiltration of tumor microenvironment.KIF18B is a key factor affecting the prognosis of GBM patients, and its targeting may provide a new therapeutic method for GBM patients.

    Keywords: Kif18B, bioinformatics, Glioblastoma, prognosis, Immune infiltration

    Received: 05 Dec 2024; Accepted: 11 Feb 2025.

    Copyright: © 2025 su, Yang, wang, zeng, wei, mai and Liji. 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) or licensor 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.

    * Correspondence: Huang Liji, Liuzhou Traditional Chinese Medical Hospital, Liuzhou, Guangxi Zhuang Region, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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