Exosomal miR-221 targets DNM3 to induce tumor progression and temozolomide resistance in glioma

Yang, Jian; Yang, Jianhui; Tong, Jing; Jing, Shiyuan; Fan, Bo; Wang, Feng; Sun, Guibo; Jiao, Baohua

doi:10.1007/s11060-016-2308-5

Cited by 96 publications

(69 citation statements)

References 23 publications

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“…What is more, concerning their high stability and specific differential expression patterns, they are used as promising biomarkers in cancer [117]. For instance, miR-21 and miR-221 were regarded to be highly abundant in CSF-derived EVs and serumderived exosomes of glioblastoma patients, respectively [118,119]. Furthermore, Oliver D et al also highlighted the fact that exosomes had significant clinical implications in central nervous system tumors, especially GBM [120].…”

Section: Circrnas Are Potential Novel Biomarkers For Diagnosis and Prmentioning

confidence: 99%

Functions and clinical significance of circular RNAs in glioma

et al. 2020

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CircRNAs are a class of single-stranded RNA molecules with a covalently closed loop structure and have been characterized by high stability, abundance, conservation, and display tissue/developmental stage-specific expression, furthermore, based on the abundance in distinct body fluids or exosomes, circRNAs present novel biomarkers and targets for the diagnosis and prognosis of cancers. Recently, the regulatory mechanisms of biogenesis and molecular functions, including miRNAs and RBPs sponge, translation as well as transcriptional and splicing regulation, have been gradually uncovered, although various aspects remained to be elucidated in combination with deep-sequence and bioinformatics. Accumulating studies have indicated that circRNAs are more enriched in neuronal tissues partly due to the abundance of specific genes promoting circularization, suggesting dysregulation of circRNAs is closely related to diseases of the nervous system, including glioma. In this review, we elaborate on the biogenesis, functions, databases as well as novel advances especially involved in the molecular pathways, highlight its great value as diagnostic or therapeutic targets in glioma.

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Section: Circrnas Are Potential Novel Biomarkers For Diagnosis and Prmentioning

confidence: 99%

Functions and clinical significance of circular RNAs in glioma

et al. 2020

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“…For example, O 6 -methylguanine-DNA-methyltransferase mRNA expression level was found to be increased in EVs collected from GB patients resistant to temozolomide [109]. Other nucleic acid biomarkers like miR-181d and miR-603 [110], alkylpurine-DNA-N-glycosylase [108], and miR-221 [111] may serve similar purposes. EV protein content may also serve as biomarkers.…”

Section: Diagnostic/prognostic Potential Of Ev Biomarkersmentioning

confidence: 99%

The potential diagnostic and prognostic role of extracellular vesicles in glioma: current status and future perspectives

et al. 2019

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Lack of appropriate diagnostic/prognostic tools for glioblastoma (GB) is considered one of the major setbacks in the early diagnosis and treatment of this deadly brain tumor. The current gold standard for its diagnosis and staging still relies on invasive biopsy followed by histological examination as well as molecular profiling. Nevertheless, noninvasive approaches are being explored and one example is through the investigation of extracellular vesicles (EVs) in the biofluids of GB patients. EVs are known to carry molecular cargoes such as DNA, mRNA, miRNA, proteins and lipids in almost every type of body fluids. Thus, molecular signature of GB may be present in the EVs derived from these patients. This review focuses on the diagnostic/prognostic potential of EVs in GB, through presenting recent studies on (i) molecular components of EVs, (ii) links between EVs and GB tumor microenvironment, and (iii) clinical potential of EV biomarkers, together with the technical shortcomings researchers need to consider for future studies. ARTICLE HISTORYAccording to their origin and/or size, EVs can be classified into three subclasses, which are apoptotic bodies,

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“…Increase the abilities of proliferation, migration and invasion of glioma cells, and promote the growth and development of glioma 30223389 [74] Atp1a2: ATPase, Na+/K+ transporting, alpha 2 polypeptide Induce tumor progression and temozolomide resistance in glioma 27837435 [75] By KEGG enrichment analyses, the KDS enriched lots of KEGG pathways related to cancer, particularly, the KEGG pathway mmu05214 (Egfr, Plcg1, Kras and Pten) is exactly the pathway of GBM.…”

Section: [71]mentioning

confidence: 99%

Kernel Differential Subgraph Analysis to Reveal the Key Period Affecting Glioblastoma

et al. 2020

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Glioblastoma (GBM) is a fast-growing type of malignant primary brain tumor. To explore the mechanisms in GBM, complex biological networks are used to reveal crucial changes among different biological states, which reflect on the development of living organisms. It is critical to discover the kernel differential subgraph (KDS) that leads to drastic changes. However, identifying the KDS is similar to the Steiner Tree problem that is an NP-hard problem. In this paper, we developed a criterion to explore the KDS (CKDS), which considered the connectivity and scale of KDS, the topological difference of nodes and function relevance between genes in the KDS. The CKDS algorithm was applied to simulated datasets and three single-cell RNA sequencing (scRNA-seq) datasets including GBM, fetal human cortical neurons (FHCN) and neural differentiation. Then we performed the network topology and functional enrichment analyses on the extracted KDSs. Compared with the state-of-art methods, the CKDS algorithm outperformed on simulated datasets to discover the KDSs. In the GBM and FHCN, seventeen genes (one biomarker, nine regulatory genes, one driver genes, six therapeutic targets) and KEGG pathways in KDSs were strongly supported by literature mining that they were highly interrelated with GBM. Moreover, focused on GBM, there were fifteen genes (including ten regulatory genes, three driver genes, one biomarkers, one therapeutic target) and KEGG pathways found in the KDS of neural differentiation process from activated neural stem cells (aNSC) to neural progenitor cells (NPC), while few genes and no pathway were found in the period from NPC to astrocytes (Ast). These experiments indicated that the process from aNSC to NPC is a key differentiation period affecting the development of GBM. Therefore, the CKDS algorithm provides a unique perspective in identifying cell-type-specific genes and KDSs.

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Exosomal miR-221 targets DNM3 to induce tumor progression and temozolomide resistance in glioma

Cited by 96 publications

References 23 publications

Functions and clinical significance of circular RNAs in glioma

Functions and clinical significance of circular RNAs in glioma

The potential diagnostic and prognostic role of extracellular vesicles in glioma: current status and future perspectives

Kernel Differential Subgraph Analysis to Reveal the Key Period Affecting Glioblastoma

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