Manipulating miR-125a-5p to regulate cancer stem cells phenotype and epithelial to mesenchymal transition in glioblastoma

Sha, Yeqin; Lei, Daoyun; He, Lianping

doi:10.1590/1806-9282.66.5.706

Cited by 2 publications

(1 citation statement)

References 4 publications

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“…Several miRNA signatures are involved in EMT-associated mechanisms of invasion and metastasis in glioblastomas. Studies on miR-125a-5p found its expression to suppress the mesenchymal capabilities of glioblastoma cells, thus inhibiting EMT [ 61 , 62 ]. Recently, Nan et al showed that miR-451 expression is able to suppress EMT and metastasis by blocking the PI3K/Akt/Snail signaling pathway through the activation of calcium-binding protein 39 (CAB39) in gliomas [ 63 ].…”

Section: Mirna-emt-related Cancer Cell Invasion and Metastasismentioning

confidence: 99%

MicroRNA Interrelated Epithelial Mesenchymal Transition (EMT) in Glioblastoma

Damane

Hull

Reis

et al. 2022

Genes

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MicroRNAs (miRNA) are small non-coding RNAs that are 20–23 nucleotides in length, functioning as regulators of oncogenes or tumor suppressor genes. They are molecular modulators that regulate gene expression by suppressing gene translation through gene silencing/degradation, or by promoting translation of messenger RNA (mRNA) into proteins. Circulating miRNAs have attracted attention as possible prognostic markers of cancer, which could aid in the early detection of the disease. Epithelial to mesenchymal transition (EMT) has been implicated in tumorigenic processes, primarily by promoting tumor invasiveness and metastatic activity; this is a process that could be manipulated to halt or prevent brain metastasis. Studies show that miRNAs influence the function of EMT in glioblastomas. Thus, miRNA-related EMT can be exploited as a potential therapeutic target in glioblastomas. This review points out the interrelation between miRNA and EMT signatures, and how they can be used as reliable molecular signatures for diagnostic purposes or targeted therapy in glioblastomas.

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Section: Mirna-emt-related Cancer Cell Invasion and Metastasismentioning

confidence: 99%