miR‐5188 augments glioma growth, migration and invasion through an SP1‐modulated FOXO1‐PI3K/AKT‐c‐JUN‐positive feedback circuit

Yi, Renhui; Yang, Shaodong; Lin, Xian; Zhong, Liangying; Liao, Yuanyuan; Hu, Zheng; Huang, Tengyue; Long, Hao; Lin, Jie; Wu, Zhi‐Yong; Xie, Congying; Ding, Shilei; Luo, Jie; Luo, Qiong; Song, Ye

doi:10.1111/jcmm.15794

Cited by 7 publications

(3 citation statements)

References 45 publications

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“…The transcription factor NFKB1 could regulate the expression of SH3YL1, and TFAP2A could regulate the expressions of PTMA and JUN. Consistent with the results here, it was shown that SP1 could enhance JUN expression ( Yi et al, 2020 ). Since other regulatory mechanisms have not been reported, in-depth experiments should be conducted to verify the regulatory mechanisms of the mentioned genes.…”

Section: Discussionsupporting

confidence: 92%

Identification of Diagnostic Markers Correlated With HIV+ Immune Non-response Based on Bioinformatics Analysis

Bai

Hou

et al. 2021

Front. Mol. Biosci.

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Background: HIV-infected immunological non-responders (INRs) are characterized by their inability to reconstitute CD4+ T cell pools after antiretroviral therapy. The risk of non-AIDS-related diseases in INRs is increased, and the outcome and prognosis of INRs are inferior to that of immunological responders (IRs). However, few markers can be used to define INRs precisely. In this study, we aim to identify further potential diagnostic markers associated with INRs through bioinformatic analyses of public datasets.Methods: This study retrieved the microarray data sets of GSE106792 and GSE77939 from the Gene Expression Omnibus (GEO) database. After merging two microarray data and adjusting the batch effect, differentially expressed genes (DEGs) were identified. Gene Ontology (GO) resource and Kyoto Encyclopedia of Genes and Genomes (KEGG) resource were conducted to analyze the biological process and functional enrichment. We performed receiver operating characteristic (ROC) curves to filtrate potential diagnostic markers for INRs. Gene Set Enrichment Analysis (GSEA) was conducted to perform the pathway enrichment analysis of individual genes. Single sample GSEA (ssGSEA) was performed to assess scores of immune cells within INRs and IRs. The correlations between the diagnostic markers and differential immune cells were examined by conducting Spearman’s rank correlation analysis. Subsequently, miRNA-mRNA-TF interaction networks in accordance with the potential diagnostic markers were built with Cytoscape. We finally verified the mRNA expression of the diagnostic markers in clinical samples of INRs and IRs by performing RT-qPCR.Results: We identified 52 DEGs in the samples of peripheral blood mononuclear cells (PBMC) between INRs and IRs. A few inflammatory and immune-related pathways, including chronic inflammatory response, T cell receptor signaling pathway, were enriched. FAM120AOS, LTA, FAM179B, JUN, PTMA, and SH3YL1 were considered as potential diagnostic markers. ssGSEA results showed that the IRs had significantly higher enrichment scores of seven immune cells compared with IRs. The miRNA-mRNA-TF network was constructed with 97 miRNAs, 6 diagnostic markers, and 26 TFs, which implied a possible regulatory relationship.Conclusion: The six potential crucial genes, FAM120AOS, LTA, FAM179B, JUN, PTMA, and SH3YL1, may be associated with clinical diagnosis in INRs. Our study provided new insights into diagnostic and therapeutic targets.

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Section: Discussionsupporting

confidence: 92%

Identification of Diagnostic Markers Correlated With HIV+ Immune Non-response Based on Bioinformatics Analysis

Bai

Hou

et al. 2021

Front. Mol. Biosci.

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“…Moreover, the knockdown of FOXO1 was slightly able to increase response to the above-mentioned treatments, representing that for attaining higher levels of response, both FOXO1 and FOXO3a should be inhibited together. This gets more confusing when a recent study revealed that targeting FOXO1 by miR-5188 is necessary for the activation of PI3K/AKT/c-JUN signaling pathway in U87 and U251 glioma cell lines, supporting the tumor-suppressive side of FOXO1 [ 138 ]. Similarly, another study has shown that the anti-tumor features of herbal medicine named Xihuang Pill are exerted through dephosphorylation of Akt and mTOR, resulting in decreased phosphorylation of FOXO1 and its subsequent translocation to the nucleus to induce apoptosis [ 139 ].…”

Section: Foxo Familymentioning

confidence: 99%

“…As seen in Table 3 , most of these regulators are ncRNAs, and in their results, FOXO1 was proposed as a tumor suppressor, except in a study by Shi et al [ 149 ] which showed the opposite result. It is noteworthy to mention that some ncRNAs form a positive feedback loop that constantly represses FOXO1 expression, leading to glioma progression [ 138 , 150 , 151 ] (Fig. 5 A).…”

Section: Foxo Familymentioning

confidence: 99%

Forkhead box transcription factors (FOXOs and FOXM1) in glioma: from molecular mechanisms to therapeutics

Tabnak,

Hasanzade Bashkandi,

Ebrahimnezhad

et al. 2023

Cancer Cell Int

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Glioma is the most aggressive and malignant type of primary brain tumor, comprises the majority of central nervous system deaths, and is categorized into different subgroups according to its histological characteristics, including astrocytomas, oligodendrogliomas, glioblastoma multiforme (GBM), and mixed tumors. The forkhead box (FOX) transcription factors comprise a collection of proteins that play various roles in numerous complex molecular cascades and have been discovered to be differentially expressed in distinct glioma subtypes. FOXM1 and FOXOs have been recognized as crucial transcription factors in tumor cells, including glioma cells. Accumulating data indicates that FOXM1 acts as an oncogene in various types of cancers, and a significant part of studies has investigated its function in glioma. Although recent studies considered FOXO subgroups as tumor suppressors, there are pieces of evidence that they may have an oncogenic role. This review will discuss the subtle functions of FOXOs and FOXM1 in gliomas, dissecting their regulatory network with other proteins, microRNAs and their role in glioma progression, including stem cell differentiation and therapy resistance/sensitivity, alongside highlighting recent pharmacological progress for modulating their expression.

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EZH2 as a new therapeutic target in brain tumors: Molecular landscape, therapeutic targeting and future prospects

Paskeh

Mehrabi

Gholami

et al. 2022

Biomedicine & Pharmacotherapy

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miR‐5188 augments glioma growth, migration and invasion through an SP1‐modulated FOXO1‐PI3K/AKT‐c‐JUN‐positive feedback circuit

Abstract: This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Cited by 7 publications

References 45 publications

Identification of Diagnostic Markers Correlated With HIV+ Immune Non-response Based on Bioinformatics Analysis

Identification of Diagnostic Markers Correlated With HIV+ Immune Non-response Based on Bioinformatics Analysis

Forkhead box transcription factors (FOXOs and FOXM1) in glioma: from molecular mechanisms to therapeutics

EZH2 as a new therapeutic target in brain tumors: Molecular landscape, therapeutic targeting and future prospects

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