BH3-only protein Bim predicts advanced stage of cutaneous melanoma

Apcin inhibits the growth and invasion of glioblastoma cells and improves glioma sensitivity to temozolomide

Glioblastoma (GBM) is the most common malignant primary brain tumor, and GBM patients have a poor overall prognosis. CDC20 expression is increased in a variety of tumors and associated with temozolomide (TMZ) resistance in glioma cells. Apcin specifically binds to CDC20 to inhibit APC/C-CDC20 interaction and exhibits antitumor properties. The purpose of this article was to assess whether apcin inhibits tumor growth in glioma cell lines and increases the sensitivity of GBM to TMZ. In this study, a series of biochemical assays, such as Cell Counting Kit-8 (CCK-8), wound healing, apoptosis and colony formation assays, were performed to determine the antitumor properties of apcin in glioma cells. GBM cell apoptosis was detected by western blotting analysis of related proteins. Apcin increased the sensitivity of glioma to TMZ, as confirmed by CCK-8 and western blotting analysis. The results showed that apcin significantly inhibited the proliferation of glioma cells in a time- and dose-dependent manner. The migration decreased with increasing apcin concentrations. Increased Bim expression indicated that apcin promotes the apoptosis of glioma cells. Furthermore, apcin improved glioma sensitivity to TMZ. The results showed that apcin can effectively inhibit GBM growth and improve TMZ sensitivity. Apcin has the potential to treat GBM and is expected to provide new ideas for individualized treatment.

Bcl-2-like Protein 11 (BIM) Expression Is Associated with Favorable Prognosis for Patients with Cervical Cancer

BACKGROUND/AIM

Bcl-2-like protein 11 (BIM) is a pro-apoptotic member of the Bcl-2 protein family. BIM elicits cell death by binding to pro-survival Bcl-2 proteins. Even though the association of BIM expression with cell death has been investigated, its clinical survival significance in cervical cancer has not. In the current study, the prognostic significance of BIM in cervical cancer was investigated.

PATIENTS AND METHODS

The study included normal cervical tissues (n=254), cervical intraepithelial neoplasia (CIN) tissues (n=275), and invasive cervical cancer (n=164). In order to identify BIM expression, immunohistochemistry (IHC) was performed, and IHC scoring by quantitative digital image analysis was determined. Then, the association of BIM with prognostic factors was investigated.

RESULTS

BIM expression was higher in cervical cancer than normal cervical tissues (p<0.001). Well and moderate differentiation indicated higher BIM expression than did poor differentiation (p=0.001). Also, BIM expression was high in radiation-sensitive cervical cancer relative to radiation-resistant cancer (p=0.049). High BIM expression showed better 5-year disease-free survival (DFS) and overall survival (OS) rates (p=0.049 and π=0.030, respectively) than did low expression. In a multivariate analysis, BIM was shown to be an independent risk factor for DFS and OS in cervical cancer, with hazard ratios of 0.22 (p=0.006) and 0.46 (p=0.046), respectively.

CONCLUSION

BIM is associated with favorable prognostic markers for prediction of DFS and OS in cervical cancer. High BIM expression is a potential prognostic marker as well as a chemotherapeutic target for cervical cancer.