Evidence map›Paper›PMID 41084153›Full record

ArticleCNS neuroscience & therapeutics2025

KIF4A Promotes Glioblastoma Malignant Progression and Transmission of Temozolomide Resistance in the Tumor Microenvironment via the HIF1A/VEGFA Axis.

Xinan Shen, Honglei Cheng, Yihan Xia, Jiarong Zheng, Qiliang Peng, Zhicheng Zhang, Nanheng Yin, Yongshun Liu, Jun Dong, Yuntian Shen

Abstract read
In one paragraph

Article in CNS neuroscience & therapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Xinan ShenDepartment of Radiotherapy & Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.ORCID 0009-0007-3803-6649
Honglei ChengThe First Clinical College, The First Affiliated Hospital, Hainan Medical University, Haikou, Hainan, China.
Yihan XiaDepartment of Obstetrics and Gynecology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Jiarong ZhengDepartment of Radiotherapy & Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Qiliang PengDepartment of Radiotherapy & Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Zhicheng ZhangDepartment of Neurosurgery, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Nanheng YinDepartment of Neurosurgery, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Yongshun LiuInstitute of Radiotherapy & Oncology, Soochow University, Suzhou, Jiangsu, China.
Jun DongDepartment of Neurosurgery, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.ORCID 0000-0002-0026-6680
Yuntian ShenDepartment of Radiotherapy & Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.

Funding

National Natural Science Foundation of China 82473127Suzhou Radiotherapy Clinical Medicine Center Szlcyxzx202103Suzhou Science and Technology Development Plan SKJY2021080
6 · The paper itself

Abstract

backgroundGlioblastoma (GBM) represents the most prevalent primary malignant brain tumor. Temozolomide (TMZ) is the primary chemotherapeutic agent administered following surgical resection. However, the emergence of TMZ resistance in patients undergoing chemotherapy significantly diminishes its efficacy. To date, the majority of preclinical studies have been unsuccessful in effectively overcoming TMZ resistance. Prior research has suggested that the KIF4A gene may serve as a prognostic indicator for patients with GBM. Nevertheless, the precise mechanism by which KIF4A contributes to TMZ resistance remains to be elucidated.

methodsIn order to simulate the in vivo growth environment of glioblastoma, transwell co-culture and hypoxia induction were employed. Functional experiments were then conducted in order to verify the effects of KIF4A and HIF1A on the proliferation, migration, invasion, and angiogenic ability of GBM cells. Western blot analysis was employed to determine the protein levels of KIF4A, HIF1A, and VEGFA in GBM cells. ELISA was employed to determine the secreted protein levels of VEGFA and MMP9 in GBM cells. A prognostic model was utilized to assess the clinical utility of the pathway. The intercellular resistance to temozolomide was determined through the use of colony formation assays, flow cytometry, and immunofluorescence. The intercellular communication medium and its mechanism were analyzed by electron microscopy, particle size measurement, and WB experiments. Finally, a xenograft tumor model was utilized to investigate the in vivo function of KIF4A.

resultsKIF4A promotes the malignant progression of glioblastoma by regulating the HIF1A/VEGFA axis. GBM cells secrete exosomes to regulate the temozolomide resistance of astrocytes and the expression level of HIF1A/VEGFA protein, thereby making glioblastoma more resistant.

conclusionThis study provides a new idea for antagonizing temozolomide resistance in glioblastoma. KIF4A promotes malignant progression of glioblastoma and transmission of TMZ resistance in the tumor microenvironment through the HIF1A/VEGFA axis.

Indexed as

Antineoplastic Agents, AlkylatingBrain NeoplasmsDrug Resistance, NeoplasmGlioblastomaHypoxia-Inducible Factor 1, alpha SubunitKinesinsTemozolomideTumor MicroenvironmentVascular Endothelial Growth Factor AAnimalsCell Line, TumorDisease ProgressionFemaleHumansMaleMiceAntineoplastic Agents, AlkylatingHIF1A protein, humanHypoxia-Inducible Factor 1, alpha SubunitKIF4A protein, humanKinesinsTemozolomideVascular Endothelial Growth Factor AVEGFA protein, human

Identifiers

PMID41084153
PMCPMC12518161

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.