MicroRNA-520d-3p suppresses melanoma cells proliferation by inhibiting the anti-silencing function 1B histone chaperone

MiR-520d-3p suppresses the proliferation and epithelial-mesenchymal transition of cervical cancer cells by targeting ZFP36L2

MiR-520d-3p has recently been reported to have anti-tumor function in several cancers, including glioma and gastric cancer. However, the biological function and its mechanism of action remain unclear in cervical cancer (CC). In this study, we observed that miR-520d-3p expression was lowly expressed in CC specimens compared with adjacent normal specimens using reverse transcription quantitative PCR. Moreover, low miR-520d-3p expression was correlated with FIGO stage and lymph node metastasis by Chi-square test. Functionally, overexpression of miR-520d-3p suppressed the proliferation and migration and invasion of two CC cell lines (HeLa and SiHa) using CCK-8 assay and wound healing assay. After target prediction, luciferase reporter assay showed that zinc finger protein 36 ring finger protein-like 2 (ZFP36L2) was a direct target of miR-520d-3p in CC cells. The expression levels of ZFP36L2 at protein and mRNA were significantly increased in CC tissues compared with adjacent tissues. The expression of ZFP36L2 was negatively correlated with miR-520d-3p in the patients with CC. Importantly, ZFP36L2 overexpression abolished the effects of miR-520d-3p on cell proliferation, migration and EMT process in CC cells. In conclusion, our findings indicate that targeting miR-520d-3p/ZFP36L2 axis might be a promising therapeutic target for CC treatment.

Identification of ASF1B as a prognostic marker for liver cancer by meta-analysis and its immune value revealed by a comprehensive pan-cancer analysis of 33 human cancers

Introduction

As one of the most common malignant tumours, liver cancer is difficult to detect in the early stage, with strong metastasis and poor prognosis. Anti-silencing function protein 1 was originally discovered in yeast as a histone H3-H4 chaperone, and studies have shown that ASF1B may be a target for inhibiting the growth of hepatocellular carcinoma cells.

Aim

To evaluate the diagnostic and prognostic significance of ASF1B expression in human LIHC on the basis of TCGA data.

Material and methods

A meta-analysis revealed that high ASF1B expression was strongly associated with better overall survival. A comprehensive pan-cancer analysis of 33 human cancers revealed the immunotherapeutic value of ASF1B.

Results

In this study, we observed a significant upregulation of ASF1B expression in LIHC samples compared to non-cancer samples. Clinical analysis showed that high expression of ASF1B was associated with age, tumour status, and clinical stage. Survival analysis showed that patients with high ASF1B expression had worse overall survival and progression-free survival than patients with low ASF1B expression. The AUCs of the 1-year, 3-year, and 5-year survival-related ROC curves were 0.672, 0.590, and 0.591, respectively.

Conclusions

Our study shows that ASF1B may provide new ideas for the diagnosis and prognosis of liver cancer patients, as well as providing a new direction for the application of ASF1B in tumour immunotherapy.

miR-767-3p suppresses melanoma progression by inhibiting ASF1B expression

BACKGROUND

Melanoma, the type of skin cancer considered as most malignant, and known to be linked with a high incidence as well as high mortality rate. Although the dysregulation of ASF1B and miR-767-3p expression is involved in the progression of various cancers, their biological function in melanoma remains unclear.

METHODS

Real-time qPCR was the primary source for determining the levels of ASF1B and miR-767-3p in melanoma. For the validation of association among miR-767-3p and ASF1B, luciferase activity assay was used. Quantification of cell apoptosis, proliferation, migration and viability in melanoma cells were carried out by flow cytometry, BrdU, transwell assays, and CCK-8, respectively. Further evaluation of tumor growth was achieved by xenograft in vivo.

RESULTS

Results showed an increased expression of ASF1B while declined expression of miR-767-3p in melanoma. ASF1B knockdown repressed cell migration, viability, proliferation, and tumor growth whereas boosted apoptosis in A375 as well as in A875 melanoma cells. Moreover, miR-767-3p attenuated the migration and proliferation of melanoma cells and encouraged cell apoptosis by reducing ASF1B levels.

CONCLUSION

In this study, miR-767-3p was shown to inhibit ASF1B which will attenuate melanoma tumorigenesis, and by this it can be a potential new effective biomarker for the treatment of melanoma.

Comprehensive Analysis Identified ASF1B as an Independent Prognostic Factor for HBV-Infected Hepatocellular Carcinoma

Purpose

Hepatitis B (HBV)-infected hepatocellular carcinoma is one of the most common cancers, and it has high incidence and mortality rates worldwide. The incidence of hepatocellular carcinoma has been increasing in recent years, and existing treatment modalities do not significantly improve prognosis. Therefore, it is important to find a biomarker that can accurately predict prognosis.

Methods

This study was analyzed using the The Cancer Genome Atlas (TCGA) database and validated by the International Cancer Genome Consortium (ICGC) database. The STRING database was used to construct a gene co-expression network and visualize its functional clustering using Cytoscape. A prognostic signature model was constructed to observe high and low risk with prognosis, and independent prognostic factors for HBV-infected hepatocellular carcinoma were identified by Cox regression analysis. The independent prognostic factors were then analyzed for expression and survival, and their pathway enrichment was analyzed using gene set enrichment analysis (GSEA).

Results

805 differentially expressed genes (DEGs) were obtained by differential analysis. Protein–protein interaction (PPI) showed that DEGs were mostly clustered in functional modules, such as cellular matrix response, cell differentiation, and tissue development. Prognostic characterization models showed that the high-risk group was associated with poor prognosis, while Cox regression analysis identified ASF1B as the only independent prognostic factor. As verified by expression and prognosis, ASF1B was highly expressed in HBV-infected hepatocellular carcinoma and led to a poor prognosis. GSEA showed that high ASF1B expression was involved in cell cycle-related signaling pathways.

Conclusion

Bioinformatic analysis identified ASF1B as an independent prognostic factor in HBV-infected hepatocellular carcinoma, and its high expression led to a poor prognosis. Furthermore, it may promote hepatocellular carcinoma progression by affecting cell cycle-related signaling pathways.