Upregulation of miR-3658 in bladder cancer and tumor progression

The Analysis of Selected miRNAs and Target MDM2 Gene Expression in Oral Squamous Cell Carcinoma

MiRNAs could play an important role in tumorigenesis and progression. The oncoprotein MDM2 (murine double minute 2) was identified as a negative regulator of the tumour suppressor p53. This study aims to analyse the expression of the MDM2 target miRNA candidates (miR-3613-3p, miR-371b-5p and miR-3658) and the MDM2 gene in oral squamous cell carcinoma tumour and margin samples and their association with the selected socio-demographic and clinicopathological characteristics. The study group consisted of 50 patients. The miRNAs and MDM2 gene expression levels were assessed by qPCR. The expression analysis of the miRNAs showed the expression of only one of them, i.e., miR-3613-3p. We found no statistically significant differences in the miR-3613-3p expression in tumour samples compared to the margin samples. When analysing the effect of smoking on miR-3613-3p expression, we demonstrated a statistically significant difference between smokers and non-smokers. In addition, we showed an association between the miR-3613-3p expression level and some clinical parameters in tumour samples (T, N and G). Our study demonstrates that miR-3613-3p overexpression is involved in the tumour progression of OSCC. This indicates that miR-3613-3p possesses potential prognostic values.

Spectrum of microRNAs and their target genes in cancer: intervention in diagnosis and therapy

Till date, several groups have studied the mechanism of microRNA (miRNA) biogenesis, processing, stability, silencing, and their dysregulation in cancer. The miRNA coding genes recurrently go through abnormal amplification, deletion, transcription, and epigenetic regulation in cancer. Some miRNAs function as tumor promoters while few others are tumor suppressors based on the transcriptional regulation of target genes. A review of miRNAs and their target genes in a wide range of cancers is attempted in this article, which may help in the development of new diagnostic tools and intervention therapies. The contribution of miRNAs for drug sensitivity or resistance in cancer therapy and opportunities of miRNAs in cancer prognosis or diagnosis and therapy is also presented in detail.

Emerging Biomarkers for Predicting Bladder Cancer Lymph Node Metastasis

Bladder cancer is one of the leading causes of cancer deaths worldwide. Early detection of lymph node metastasis of bladder cancer is essential to improve patients' prognosis and overall survival. Current diagnostic methods are limited, so there is an urgent need for new specific biomarkers. Non-coding RNA and m6A have recently been reported to be abnormally expressed in bladder cancer related to lymph node metastasis. In this review, we tried to summarize the latest knowledge about biomarkers, which predict lymph node metastasis in bladder cancer and their mechanisms. In particular, we paid attention to the impact of non-coding RNA on lymphatic metastasis of bladder cancer and its specific molecular mechanisms, as well as some prediction models based on imaging, pathology, and biomolecules, in an effort to find more accurate diagnostic methods for future clinical application.

LINC00968 promotes osteogenic differentiation in vitro and bone formation in vivo via regulation of miR-3658/RUNX2

Osteogenic differentiation of dental pulp stem cells (DPSCs) is considered as a promising strategy in posterior maxilla tooth implantation. Information on the function and mechanisms of long non-coding RNAs (lncRNAs) in osteogenic differentiation of DPSCs is growing, however, the mechanism of LINC00968 and miR-3658 in regulating osteogenic differentiation of DPSCs still needs to be explored. In this study, the LINC00968 and miR-3658 expression level was upregulated and downregulated in DPSCs and peri-implantitis DPSCs (pDPSCs) treated with bone morphogenic protein (BMP)2, respectively. Moreover, the effects of LINC00968 and miR-3658 on BMP2-induced osteogenic differentiation of DPSCs in vitro using Alizarin Red S staining, alkaline phosphatase (ALP) activity, quantitative real time PCR and Western blot assays showed that overexpression of LINC00968 significantly promoted mineralized bone matrix, alkaline phosphatase (ALP), runt-related transcription factor 2 (RUNX2), and osterix (OSX) expression levels for osteogenic differentiation of DPSCs and pDPSCs; and overexpression of miR-3658 showed an opposite result that inhibited osteogenic differentiation of DPSCs and pDPSCs. Luciferase reporter assay showed that luciferase activities of LINC00968-WT reporter and RUNX2-WT reporter were strongly suppressed by miR-3658 overexpression. In addition, the miR-3658 upregulation interfered ectopic bone formation in vivo stimulated by LINC00968. In general, we had identified a novel molecular pathway involving LINC00968/miR-3658/RUNX2 during DPSCs and pDPSCs differentiation into osteoblasts, which might facilitate bone anabolism.

Identification of Diagnostic Biomarkers and Subtypes of Liver Hepatocellular Carcinoma by Multi-Omics Data Analysis

As liver hepatocellular carcinoma (LIHC) has high morbidity and mortality rates, improving the clinical diagnosis and treatment of LIHC is an important issue. The advent of the era of precision medicine provides us with new opportunities to cure cancers, including the accumulation of multi-omics data of cancers. Here, we proposed an integration method that involved the Fisher ratio, Spearman correlation coefficient, classified information index, and an ensemble of decision trees (DTs) for biomarker identification based on an unbalanced dataset of LIHC. Then, we obtained 34 differentially expressed genes (DEGs). The ability of the 34 DEGs to discriminate tumor samples from normal samples was evaluated by classification, and a high area under the curve (AUC) was achieved in our studied dataset and in two external validation datasets (AUC = 0.997, 0.973, and 0.949, respectively). Additionally, we also found three subtypes of LIHC, and revealed different biological mechanisms behind the three subtypes. Mutation enrichment analysis showed that subtype 3 had many enriched mutations, including tumor protein p53 (TP53) mutations. Overall, our study suggested that the 34 DEGs could serve as diagnostic biomarkers, and the three subtypes could help with precise treatment for LIHC.

MicroRNA-132 suppresses migration and invasion of renal carcinoma cells

BACKGROUND

The aim of this study was to explain the effects of microRNA-132 in renal cell carcinoma by regulating FOXM1 expression.

METHODS

Thirty patients with renal cell carcinoma admitted to our hospital were enrolled, and their adjacent normal tissues and cancer tissues were taken. The expression of microRNA-132 was measured by in situ hybridization (ISH) and RT-PCR, and the expression of FOXM1 was evaluated by RT-PCR and immunohistochemistry (IHC), and the correlation between microRNA-132 and FOXM1 was analyzed. In the cell experiment, the KETR-3 cells were divided into three groups: Negative control (NC) group were treated with nothing; blank (BL) group were transfected with empty vector; and microRNA-132 (miRNA) group were transfected with microRNA-132. The cell invasion and migration abilities among groups were assessed by transwell and wound healing assays. The expression levels of related proteins (FOXM1, MMP-2, MMP-9, VEGF-alpha, and uPAR) were determined by Western blot.

RESULTS

Depending on clinical data, we found that FOXM1 protein expression of renal cell carcinoma tissues was higher than that in adjacent normal tissues. MiRNA-132 was negative correlation with FOXM1. In vitro, the number of invasive cells and wound healing rate in the microRNA group were significantly suppressed than those in the NC group (P < 0.05, respectively). In the Western blot assay, the results showed that the protein expression levels of FOXM1, MMP-2, MMP-9, VEGF-α, and uPAR were significantly inhibited in the miRNA group compared with the NC group (P < 0.05, respectively).

CONCLUSION

miRNA-132 had anti-tumor effects in renal cell carcinoma by suppressing FOXM1 expression.