Evaluation Expression of Microrna-93 and Integrin Β8 in Different Types of Glioma Tumors

Recent insights into the microRNA-dependent modulation of gliomas from pathogenesis to diagnosis and treatment

Gliomas are the most lethal primary brain tumors in adults. These highly invasive tumors have poor 5-year survival for patients. Gliomas are principally characterized by rapid diffusion as well as high levels of cellular heterogeneity. However, to date, the exact pathogenic mechanisms, contributing to gliomas remain ambiguous. MicroRNAs (miRNAs), as small noncoding RNAs of about 20 nucleotides in length, are known as chief modulators of different biological processes at both transcriptional and posttranscriptional levels. More recently, it has been revealed that these noncoding RNA molecules have essential roles in tumorigenesis and progression of multiple cancers, including gliomas. Interestingly, miRNAs are able to modulate diverse cancer-related processes such as cell proliferation and apoptosis, invasion and migration, differentiation and stemness, angiogenesis, and drug resistance; thus, impaired miRNAs may result in deterioration of gliomas. Additionally, miRNAs can be secreted into cerebrospinal fluid (CSF), as well as the bloodstream, and transported between normal and tumor cells freely or by exosomes, converting them into potential diagnostic and/or prognostic biomarkers for gliomas. They would also be great therapeutic agents, especially if they could cross the blood–brain barrier (BBB). Accordingly, in the current review, the contribution of miRNAs to glioma pathogenesis is first discussed, then their glioma-related diagnostic/prognostic and therapeutic potential is highlighted briefly.

αvβ8 integrin adhesion and signaling pathways in development, physiology and disease

Cells must interpret a complex milieu of extracellular cues to modulate intracellular signaling events linked to proliferation, differentiation, migration and other cellular processes. Integrins are heterodimeric transmembrane proteins that link the extracellular matrix (ECM) to the cytoskeleton and control intracellular signaling events. A great deal is known about the structural and functional properties for most integrins; however, the adhesion and signaling pathways controlled by αvβ8 integrin, which was discovered nearly 30 years ago, have only recently been characterized. αvβ8 integrin is a receptor for ECM-bound forms of latent transforming growth factor β (TGFβ) proteins and promotes the activation of TGFβ signaling pathways. Studies of the brain, lung and immune system reveal that the αvβ8 integrin-TGFβ axis mediates cell-cell contact and communication within complex multicellular structures. Perturbing components of this axis results in aberrant cell-cell adhesion and signaling leading to the initiation of various pathologies, including neurodegeneration, fibrosis and cancer. As discussed in this Review, understanding the functions for αvβ8 integrin, its ECM ligands and intracellular effector proteins is not only an important topic in cell biology, but may lead to new therapeutic strategies to treat human pathologies related to integrin dysfunction.

Molecular mechanism and role of microRNA-93 in human cancers: A study based on bioinformatics analysis, meta-analysis, and quantitative polymerase chain reaction validation

INTRODUCTION

Currently, studies have shown that microRNA-93 (miR-93) can be an oncogene or a tumor suppressor in different kinds of cancers. The role of miR-93 in human cancers is inconsistent and the underlying mechanism on the aberrant expression of miR-93 is complicated.

METHODS

We first conducted gene enrichment analysis to give insight into the prospective mechanism of miR-93. Second, we performed a meta-analysis to evaluate the clinical value of miR-93. Finally, a validation test based on quantitative polymerase chain reaction (qPCR) was performed to further investigate the role of miR-93 in pan-cancer.

RESULTS

Gene Ontology (GO) enrichment analysis results showed that the target genes of miR-93 were closely related to transcription, and MAPK1, RBBP7 and Smad7 became the hub genes. In the diagnostic meta-analysis, the overall sensitivity, specificity, and area under the curve were 0.76 (0.64-0.85), 0.82 (0.64-0.92), and 0.85 (0.82-0.88), respectively, which suggested that miR-93 had excellent performance on the diagnosis for human cancers. In the prognostic meta-analysis, dysregulated miR-93 was found to be associated with poor OS in cancer patients. In the qPCR validation test, the serum levels of miR-93 were upregulated in breast cancer, breast hyperplasia, lung cancer, chronic obstructive pulmonary disease, nasopharyngeal cancer, hepatocellular cancer, gastric ulcer, endometrial cancer, esophageal cancer, laryngeal cancer, and prostate cancer compared with healthy controls.

CONCLUSIONS

miR-93 could act as an effective diagnostic and prognostic factor for cancer patients. Its clinical value for cancer early diagnosis and survival prediction is promising.