• Biomarkers
• Expression
• Mechanism
• Oncogene
• Tumor suppressor
• miR-192

• FRGS/1/2020/STG03/USM/02/7 Fundamental Research Grant Scheme from the Ministry of Higher Education Malaysia

• Biomarkers
• Early Pregnancy
• Exosomal miRNAs
• ITGA4
• miR-192

• 31460586 National Natural Science Foundation of China
• 31960645 National Natural Science Foundation of China
• 2020CB018 Xinjiang Production and Construction Corps

• Apoptosis
• Mitochondria
• Osteosarcoma
• microRNAs

• Biomarker
• Crohn’s disease
• Differential diagnosis
• Inflammatory bowel disease
• Ulcerative colitis
• miRNA

• Biomarkers
• Brazil
• Colitis, Ulcerative/diagnosis
• Colitis, Ulcerative/genetics
• Crohn Disease/diagnosis
• Crohn Disease/genetics
• Humans
• MicroRNAs/genetics
• Pilot Projects

• computational models
• gene ontology
• microarrays
• drug screening

• COVID-19/immunology
• COVID-19/virology
• Computational Biology
• Drug Repositioning
• Gene Expression Profiling
• Gene Expression Regulation, Viral
• Gene Regulatory Networks
• Genes, Viral
• Genetic Techniques
• Humans
• MicroRNAs/metabolism
• Oligonucleotide Array Sequence Analysis
• SARS-CoV-2
• Systems Biology
• Transcription Factors
• COVID-19 Drug Treatment

• amyloids
• biomaterials
• carbon dots
• carbon nanotubes
• fullerene
• graphene
• hydrogels
• nanostructures
• peptides
• self-assembly

• Biosensing Techniques/methods
• Carbon/chemistry
• Diagnostic Imaging/methods
• Electronics
• Nanostructures/chemistry
• Peptide Fragments/chemistry
• Regeneration

• 2015TWP83Z Ministero dell'Istruzione, dell'Università e della Ricerca

• Cell signaling pathways
• Gene expression regulation
• MicroRNAs
• Small non-coding RNAs
• Wilms’ tumor

It has been shown that miR-192 is abnormally expressed in a variety of cancer types and participates in different kinds of signaling pathways. The role of miR-192 in the diagnosis and prognosis of cancer has not been verified. This article is aimed at exploring the diagnostic and prognostic value of miR-192 through a systematic review and meta-analysis.

A systematic search was performed through PubMed, Embase, Web of Science, and Cochrane Library databases up to June 16, 2020. A total of 16 studies were enrolled in the meta-analyses, of which 11 articles were used for diagnostic meta-analysis and 5 articles were used for prognostic meta-analysis. The values of sensitivity and specificity using miR-192 expression as a diagnostic tool were pooled in the diagnostic meta-analysis. The hazard ratios (HRs) of overall survival (OS) with 95 confidence intervals (CIs) were extracted from the studies, and pooled HRs were evaluated in the prognostic meta-analysis. Eleven studies including 667 cancer patients and 514 controls met the eligibility criteria for the diagnostic meta-analysis. Five studies including 166 patients with high miR-192 expression and 236 patients with low miR-192 expression met the eligibility criteria for the prognostic meta-analysis.

The overall diagnostic accuracy was as follows: sensitivity 0.79 (95%CI = 0.75-0.82), specificity 0.74 (95%CI = 0.64-0.82), positive likelihood ratio 3.03 (95%CI = 2.11-4.34), negative likelihood ratio 0.29 (95%CI = 0.23-0.37), diagnostic odds ratio 10.50 (95%CI = 5.89-18.73), and area under the curve ratio (AUC) 0.82 (95%CI = 0.78-0.85). The overall prognostic analysis showed that high expression of miR-192 in patients was associated with positive survival (HR = 0.62, 95%CI : 0.41-0.93, p = 0.020).

Our results revealed that miR-192 was a potential biomarker with good sensitivity and specificity in cancers. Moreover, highly expressed miR-192 predicted a good prognosis for patients.

• cell migration
• epithelial–mesenchymal transition
• metastasis
• miRNA
• oncomiR
• tumor invasiveness
• tumor suppressor miR

• Apoptosis
• LncRNA AFAP1-AS1
• Myocardial infarction
• RTN3
• miR-512-3p

• Animals
• Apoptosis
• Carrier Proteins/genetics
• Carrier Proteins/metabolism
• Cell Line
• Cell Proliferation
• Cell Survival
• Disease Models, Animal
• Gene Knockdown Techniques
• Male
• MicroRNAs/genetics
• MicroRNAs/metabolism
• Myocardial Reperfusion Injury/genetics
• Myocardial Reperfusion Injury/metabolism
• Myocardial Reperfusion Injury/pathology
• Myocytes, Cardiac/metabolism
• Myocytes, Cardiac/pathology
• RNA Interference
• RNA, Long Noncoding/genetics
• RNA, Long Noncoding/metabolism
• Rats, Sprague-Dawley
• Signal Transduction

Circular RNAs (circRNAs) have emerged as a novel category of non-coding RNA, which exhibit a pivotal effect on regulating gene expression and biological functions, yet how circRNAs function in osteosarcoma (OSA) still demands further investigation. This study aimed at probing into the function of hsa_circ_0000282 in OSA.

The expressions of circ_0000282 and miR-192 in OSA tissues and cell lines were examined by quantitative real-time polymerase chain reaction (qRT-PCR), and the correlation between the expression level of circ_0000282 and clinicopathological features of OSA patients was analyzed. The expressions of X-linked inhibitor of apoptosis protein (XIAP), B-cell lymphoma-2 (Bcl-2) and Bcl-2 associated X protein (Bax) in OSA cells were assayed by Western blot. The proliferation and apoptosis of OSA cells were examined by CCK-8, BrdU and flow cytometry, respectively. Bioinformatics analysis, dual-luciferase reporter gene assay and RIP experiments were employed to predict and validate the targeting relationships between circ_0000282 and miR-192, and between miR-192 and XIAP, respectively.

Circ_0000282 was highly expressed in OSA tissues and cell lines, which represented positive correlation with Enneking stage of OSA patients and negative correlation with tumor differentiation degree. In vitro experiments confirmed that overexpression of circ_0000282 markedly facilitated OSA cell proliferation and repressed cancer cell apoptosis in comparison to control group. Besides, knockdown of circ_0000282 repressed OSA cell proliferation and promoted apoptosis. Additionally, the binding relationships between circ_0000282 and miR-192, and between miR-192 and XIAP were validated. Circ_0000282 indirectly up-regulated XIAP expression by adsorbing miR-192, thereby playing a role in promoting cancer in OSA.

Circ_0000282 was a novel oncogenic circRNA in OSA. Circ_0000282/miR-192/XIAP axis regulated OSA cell proliferation apoptosis with competitive endogenous RNA mechanism.

• Apoptosis
• Osteosarcoma
• Proliferation
• XIAP
• circ_0000282
• miR-192

This study aimed to evaluate the regulatory role of miR-431-5p on the tumorigenesis of osteosarcoma (OS) and the underlying mechanism involving pannexin 3 (PANX3).

qRT-PCR was applied to measure the expression of miR-431-5p in OS tissues and cells. PANX3 and miR-431-5p were overexpressed in U2OS and HOS cells. The cell viability and apoptosis were determined by MTT and FITC/PI double staining assay, respectively. Transwell assay was performed to detect cell migration and invasion. The protein expression of cleave-caspase-3 and MMP-2/-9 was detected by Western blot. The target relationship between miR-431-5p and PANX3 was predicated by ENCORI and identified by DLR assay. The anti-tumor effect of miR-431-5p was further analyzed in a xenograft tumor model in mice.

MiR-431-5p expression was down-regulated in OS tissues and negatively correlated with lymph node metastasis and TNM stage. Over-expression of miR-431-5p induced cell apoptosis, inhibited cell proliferation, migration and invasion, up-regulated cleave-caspase-3, and down-regulated MMP-2 and -9 in OS cells. Over-expression of miR-431-5p also inhibited the growth of tumor xenografts in mice. In addition, PANX3 was a target of miR-431-5p. Over-expression of PANX3 reversed the anti-tumor effect of miR-431-5p mimics on U2OS and HOS cells.

Up-regulation of miR-431-5p suppressed the tumorigenesis of OS via targeting PANX3.

• microRNA-431-5p
• migration
• osteosarcoma
• pannexin 3
• proliferation

Osteosarcoma, the most common solid malignancy, has high incidence and mortality rates. We constructed a miRNA-based signature that can be used to assess the prognosis of osteosarcoma patients.

The miRNA profile was derived from the Gene Expression Omnibus (GEO) website, with matched clinical records. The miRNA-based overall survival (OS)-predicting signature was established by LASSO Cox regression analysis. Receiver operating characteristic (ROC) curve and Kaplan-Meier (K-M) analyses were performed to examine the stability and discriminatory ability of the OS-predicting signatures. Pathway enrichment analyses were performed to uncover potential mechanisms.

Three miRNAs (miR-153, miR-212, and miR-591) independently related to the OS were extracted to build a risk score formula. The ROC curve and K-M analyses revealed good discrimination ability of the OS signature for osteosarcoma patients in both the training cohort (P=0.00015, AUC=0.962) and the validation cohort (P=0.0065, AUC=0.793). As shown in multivariate analysis, the classifier showed favorable predictive accuracy similar to the recurrence status to be an independent risk factor for osteosarcoma. Furthermore, the nomogram showed a synergistic effect by combining the clinicopathological features with our classifier. Also, the enrichment analyses of the target genes may contribute to improved treatment of osteosarcoma.

The 3-miRNA-based classifier serves as an effective prognosis-predicting signature for osteosarcoma patients.

• breast cancer
• miR-192
• miR-9
• qPCR