Long non-coding RNA NR2F1-AS1 promoted neuroblastoma progression through miR-493-5p/TRIM2 axis

Expression and Role of TRIM2 in Human Diseases

Tripartite motif (TRIM) protein family proteins contain more than 80 members in humans, and most of these proteins exhibit E3 ubiquitin ligase activity mediated through a RING finger domain. Their biological functions are very complex, and they perform diverse functions in cell evolution processes, such as intracellular signaling, development, apoptosis, protein quality control, innate immunity, autophagy, and carcinogenesis. Tripartite motif-containing protein 2 (TRIM2), a member of the TRIM superfamily, is an 81 kDa multidomain protein, also known as CMT2R or RNF86, located at 4q31.3. TRIM2 functions as an E3 ubiquitin ligase. Current studies have shown that TRIM2 can play roles in neuroprotection, neuronal rapid ischemic tolerance, antiviral responses, neurological diseases, etc. Moreover, based on some studies in tumors, TRIM2 regulates tumor proliferation, migration, invasion, apoptosis, and drug resistance through different mechanisms and plays a critical role in tumor occurrence and development. This review is aimed at providing a systematic and comprehensive summary of research on TRIM2 and at exploring the potential role of TRIM2 as a biomarker and therapeutic target in many kinds of human diseases.

NR2F1-AS1 Acts as an Oncogene in Breast Cancer by Competitively Binding with miR-641

BACKGROUND

Long noncoding RNA (lncRNA) NR2F1-AS1 has been previously reported to be dysregulated in human cancers and implicated in the tumorigenesis and development of tumors. In this research, we detected the expression level and biological function of NR2F1-AS1 in breast cancer (BC).

METHODS

The expression of NR2F1-AS1 in BC tissues and cell lines was determined by qRT-PCR analysis. The associations of NR2F1-AS1 expression with clinical characteristics and survival rate of BC patients were also analyzed. Cell proliferation, migration, and invasion were measured by the CCK-8 and Transwell assay.

RESULTS

The results revealed that the total survival time of BC patients with high NR2F1-AS1 expression was lower than that of BC patients with low NR2F1-AS1 expression. Moreover, functional experiments demonstrated that knockdown of NR2F1-AS1 inhibited BC cell viability, migration, and invasion abilities, whereas overexpression of NR2F1-AS1 had the opposite effect. Mechanistic investigation revealed that NR2F1-AS1 can competitively bind with microRNA-641 (miR-641) in BC. These results revealed that NR2F1-AS1 functioned as an oncogene by sponging miR-641 expression in BC cell progression. Moreover, miR-641 was negatively correlated with NR2F1-AS1 in BC tissues.

CONCLUSION

Hence, NR2F1-AS1 was found to act as an oncogene in breast cancer by suppressing miR-641. We suggested that NR2F1-AS1 could be a potential biomarker for BC diagnosis and therapy.

MiR-493-5p inhibits the malignant development of gliomas via suppressing E2F3-mediated dysfunctions of P53 and PI3K/AKT pathways

BACKGROUND

Gliomas is a major challenge of current medical system, and thousands of people are struggling in the pain of this disease worldwide. In the last decade, the functions of miRNAs have been revealed by many studies, and the intervention on miRNA dysfunctions has been thought as a promising way to counter cancer. MiR-493-5p has been identified as a tumor inhibitor to suppress the progressions of several tumors while its role in gliomas remains unknown. Hence, the study investigated the expression levels of miR-493-5p in glioma tissues and cell lines.

METHODS

CCK-8 assay, transwell assay and flow cytometry assay were used to observe the effects of miR-493-5p on tumor cells. The downstream targets of miR-493-5p were also searched and verified with online databases and dual-luciferase reporter assay. Moreover, the activities of P53 and PI3K/AKT pathways were also explored by western blot to illustrate the regulation mechanism of miR-493-5p on glioma development.

RESULTS

The results showed that miR-493-5p was significantly downregulated in pathological tissues and glioma cell lines, and the increased miR-493-5p effectively inhibited the malignant behavior and promoted the apoptosis of glioma cells.

CONCLUSIONS

E2F3 was confirmed as a target of miR-493-5p, and the effects of miR-493-5p on the phenotype of glioma cells could be partly reversed by E2F3. Besides, it was also found that miR-493-5p could effectively suppress the expression of E2F3 and then improve the dysfunctions of the P53 and PI3K/AKT pathways.

N6-Methylandenosine-Related lncRNAs in Tumor Microenvironment Are Potential Prognostic Biomarkers in Colon Cancer

Background

LncRNA dysregulation and the tumor microenvironment (TME) have been shown to play a vital role in the progression and prognosis of colon cancer (CC). We aim to reveal the potential molecular mechanism from the perspective of lncRNA in the TME and provide the candidate biomarkers for CC prognosis.

Methods

ESTIMATE analysis was used to divide the CC patients into high and low immune or stromal score groups. The expression array of lncRNA was re-annotated by Seqmap. Microenvironment-associated lncRNAs were filtered through differential analysis. The m6A-associated lncRNAs were screened by Pearson correlation analysis. Lasso Cox regression analyses were performed to construct the m6A- and tumor microenvironment-related lncRNA prognostic model (m6A-TME-LM). Survival analysis was used to assess the prognostic efficacy of candidate lncRNAs. Enrichment analyses annotated the candidate genes’ functions.

Results

We obtained 25 common differentially expressed lncRNAs (DELs) associated with immune microenvironment and m6A-related genes for subsequent lasso analysis. Four out of these DELs were selected for the m6A-TME-LM. All the four lncRNAs were related to overall survival, and a test set testified the result. Further stratification analysis of the m6A-TME-LM retained its ability to predict OS for male and chemotherapy adjuvant patients and performed an excellent prognostic efficacy in the TNM stage III and IV subgroups. Network analysis also found the four lncRNAs mediated co-expression network was associated with tumor development.

Conclusion

We constructed the m6A-TME-LM, which could provide a better prognostic prediction of CC.