Overexpression of miR-127 Predicts Poor Prognosis and Contributes to the Progression of Papillary Thyroid Cancer by Targeting REPIN1

The Use of Tissue-on-Chip Technology to Focus the Search for Extracellular Vesicle miRNA Biomarkers in Thyroid Disease

Small extracellular vesicles (sEVs) contain microRNAs (miRNAs) which have potential to act as disease-specific biomarkers. The current study uses an established method to maintain human thyroid tissue ex vivo on a tissue-on-chip device, allowing the collection, isolation and interrogation of the sEVs released directly from thyroid tissue. sEVs were analysed for differences in miRNA levels released from benign thyroid tissue, Graves' disease tissue and papillary thyroid cancer (PTC), using miRNA sequencing and quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) to identify potential biomarkers of disease. Thyroid biopsies from patients with benign tissue (n = 5), Graves' disease (n = 5) and PTC (n = 5) were perfused with medium containing sEV-depleted serum for 6 days on the tissue-on-chip device. During incubation, the effluents were collected and ultracentrifuged to isolate sEVs; miRNA was extracted and sequenced (miRNASeq). Out of the 15 samples, 14 passed the quality control and miRNASeq analysis detected significantly higher expression of miR-375-3p, miR-7-5p, miR-382-5p and miR-127-3p in the sEVs isolated from Graves' tissue compared to those from benign tissue (false discovery rate; FDR p < 0.05). Similarly, miR-375-3p and miR-7-5p were also detected at a higher level in the Graves' tissue sEVs compared to the PTC tissue sEVs (FDR p < 0.05). No significant differences were observed between miRNA in sEVs from PTC vs. those from benign tissue. These results were supported by Quantitative Reverse Transcriptase Polymerase Chain Reaction (qRT-PCR). The novel findings demonstrate that the tissue-on-chip technology is a robust method for isolating sEVs directly from the tissue of interest, which has permitted the identification of four miRNAs, with which further investigation could be used as biomarkers or therapeutic targets within thyroid disease.

Peptide ARHGEF9 Inhibits Glioma Progression via PI3K/AKT/mTOR Pathway

Background

The most prevalent malignant tumor in a human brain nervous system is called glioma. Peptide is a compound formed by the peptide bond of α-amino acids, and the development of polypeptide drugs has been widely used in many fields. We plan to investigate the underlying peptides with clinical value in glioma.

Method

Based on public databases, we targeted the common genes between glioma differentially expressed genes (DEGs) and peptide genes related to glioma prognosis. Then, these common genes were analyzed by LASSO-Cox analysis, prognostic risk model, and nomogram to identify key prognostic peptide genes and the target gene in this study. Next, the mechanism of target gene in glioma was explored by bioinformatics analysis and functional experiments.

Results

We obtained a total of 26 overlapping genes for the following study. After that, 6 independent prognostic factors (REPIN1, PSD3, RDX, CDK4, FANCI, and ARHGEF9) were obtained and applied to construct the prognostic nomogram, and ARHGEF9 was the target gene in the study. Next, peptide ARHGEF9 was found to inhibit glioma cell development. Through Spearman's correlation analysis, ARHGEF9 had a close relation with PI3K/AKT/mTOR pathway. In functional experiments, peptide ARHGEF9 could suppress the protein expressions of p-PIK3K, p-AKT and p-mTOR, while IGF-1 could reverse this effect.

Conclusion

This study identifies 6 new prognostic biomarkers for glioma patients. Among them, peptide ARHGEF9 gene is an inhibitory gene functioning by targeting PI3K/AKT/mTOR pathway.

Downregulation of miR-519d-3p is Associated with Poor Outcomes and Facilitates Tumor Progression in Papillary Thyroid Cancer by Regulating FOXQ1

MicroRNA-519d-3p (miR-519d-3p) has emerged as a tumor suppressor in several human cancers. But whether miR-519d-3p is involved in papillary thyroid cancer (PTC) remains elusive. In this study, we investigated the potential relevance of miR-miR-519d-3p in PTC. A retrospective study of 119 PTCs was carried out. The RT-qPCR analysis was used to measure the expression of miR-519d-3p and FOXQ1 in PTC tissues and cells. Chi-square test, Kaplan-Meier curve analysis, and multivariate Cox regression analyses were performed to assess the clinical and prognostic value of miR-519d-3p in PTC. Then cellular experiments were used to explore its biological effects on PTC cells. Finally, the Pearson correlation coefficient, dual-luciferase reporter assay, and rescue experiments were used to analyze the association between miR-519d-3p and FOXQ1. miR-519d-3p was significantly downregulated in PTC tissues and cell lines. The decreased expression of miR-519d-3p was associated with reduced overall survival and progression-free survival of patients. The proliferative, migratory, and invasive abilities of cells were blocked or elevated after upregulation or downregulation of miR-519d-3p, while FOXQ1 reversed these cellular behaviors caused after upregulation or knockdown of miR-519d-3p. In conclusion, miR-519d-3p was downregulated in PTC and associated with OS and PFS of patients. MiR-519d-3p may be a tumor-inhibiting miRNA in PTC, and that miR-519d-3p/FOXQ1 axis mediated PTC tumor progression from cell proliferation, migration, and invasion in PTC cells.