Evidence map›Paper›PMID 35958479›Full record

ArticleAmerican journal of translational research2022

Diagnostic and prognostic utility of eIF6 in glioblastoma: a study based on TCGA and CGGA databases.

Jian Liang, Fengyu Liu, Yaoqiang Yang, Xing Li, Guangmou Cai, Jianxuan Cao, Bo Zhang

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Article in American journal of translational research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

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7 authors.

Jian LiangDepartment of Neurosurgery, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology) Shenzhen 518020, Guangdong, China.
Fengyu LiuDepartment of Neurosurgery, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology) Shenzhen 518020, Guangdong, China.
Yaoqiang YangDepartment of Neurosurgery, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology) Shenzhen 518020, Guangdong, China.
Xing LiSchool of Medicine, Southern University of Science and Technology Shenzhen 518055, Guangdong, China.
Guangmou CaiDepartment of Neurosurgery, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology) Shenzhen 518020, Guangdong, China.
Jianxuan CaoDepartment of Neurosurgery, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology) Shenzhen 518020, Guangdong, China.
Bo ZhangDepartment of Neurosurgery, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology) Shenzhen 518020, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAmong various glioma types, glioblastoma multiforme (GBM) is one of those with the highest malignancy. Although overexpression of eukaryotic translation initiation factor 6 (eIF6), a factor that regulates protein translation initiation, is believed to promote tumor development, its function and potential molecular mechanisms in glioma progression remain uncharacterized. Consequently, we evaluated its diagnostic and prognostic utility in GBM patients.

methodsSample data from two databases, The Cancer Genome Atlas (TCGA) and the Chinese Glioma Genome Atlas (CGGA), were utilized to investigate the role of eIF6 as well as its mechanism of action in gliomas. We analyzed eIF6 expression in normal tissues as well as cancerous samples of different stages of glioma. The diagnostic and prognostic value of eIF6 were analyzed using the Receiver Operating Characteristic Curve (ROC) and Kaplan-Meier analysis, respectively. Furthermore, its underlying molecular mechanism in GBM was further revealed by gene set enrichment analysis (GSEA).

resultsTranscriptome data analyses of the two databases showed that eIF6 was upregulated in glioma tissues compared with normal counterparts. eIF6 was at high levels in WHO grade IV gliomas versus grade II and III gliomas (

conclusionseIF6 is highly expressed in gliomas and positively associated with the degree of malignancy. Patients with high eIF6 expression present poor survival. Therefore, eIF6 has the potential to be a diagnostic biomarker and a potential therapeutic target for glioma development and GBM.

Indexed as

eIF6gliomaGSEAoverall survival

Identifiers

PMID35958479
PMCPMC9360856

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