The antitumor efficacy of various paclitaxel (PTX) and docetaxel (DTX) formulations in clinical applications is seriously affected by drug resistance. Cabazitaxel, a second-generation taxane, exhibits greater anticancer activity than PTX and DTX and has low affinity for the P-glycoprotein efflux pump because of its structure. Therefore, cabazitaxel has the potential to overcome taxane resistance. However, owing to the high systemic toxicity and hydrophobicity of cabazitaxel and the instability of its commercial preparation, Jevtana®, the clinical use of cabazitaxel is restricted to patients with metastatic castration-resistant prostate cancer who show progression after DTX-based chemotherapy. Nanomedicine is expected to overcome the limitations associated with cabazitaxel application and surmount taxane resistance. This review outlines the drug delivery systems of cabazitaxel published in recent years, summarizes the challenges faced in the development of cabazitaxel nanoformulations, and proposes strategies to overcome these challenges.
MicroRNAs (miRNAs/miRs) show great promise as novel cancer biomarkers. Several studies have revealed an association between abnormal miRNA expression and the risk of various cancer types. However, the diagnostic accuracy and reliability of miRNAs remains unclear. The present meta-analysis was performed to summarize the overall diagnostic performance of miR-195 for cancer. The PubMed, Cochrane Library, Wanfang and China National Knowledge Infrastructure databases were searched for associated literature published until December 10, 2017. Eligible studies were selected using multiple search strategies based on study selection criteria. Measures, including sensitivity and specificity, of the performance of miR-195 as a cancer diagnostic tool were pooled using bivariate meta-analysis models. All analyses were performed using Stata 14.0. The pooled analysis included 8 studies comprising 735 cases and 547 controls. The pooled diagnostic results calculated from all studies were as follows: Sensitivity, 0.79 [95% confidence interval (CI), 0.69–0.87]; specificity, 0.84 (95% CI, 0.68–0.93); positive likelihood ratio, 4.9 (95% CI, 2.50–9.50); negative likelihood ratio, 0.25 (95% CI, 0.18–0.35); diagnostic odds ratio, 20 (95% CI, 10.00–38.00); and area under the curve, 0.87 (95% CI, 0.84–0.90). Deeks' funnel plot asymmetry test suggested no potential publication bias (P=0.53). The present meta-analysis indicated that miR-195 could be a reliable non-invasive biomarker for the diagnosis of cancer. Further large-scale prospective studies are necessary to confirm the present findings and the clinical value of miR-195 for future diagnostics.
Breast cancer-specific gene 1 (BCSG1), also referred to as γ-synuclein (SNCG), is highly expressed in human infiltrating breast carcinomas, but not in normal or benign breast tissue. The present study aimed to evaluate the effects of BCSG1 siRNA delivered by lentiviral vector on breast cancer cells and investigate the underlying mechanisms. BCSG1 RNAi lentiviral vector was constructed and transfected into MDA-MB-231 cells. BCSG1 mRNA levels were determined by quantitative polymerase chain reaction analysis. Cell proliferation, migration and apoptosis were evaluated by using the cell counting kit‑8, Transwell assay and flow cytometry, respectively, followed by western blotting to determine the relative levels of AKT, extracellular signal‑regulated kinase (ERK), p-AKT and p-ERK expression. BCSG1 mRNA levels were significantly reduced in MDA-MB‑231 cells following transfection of BCSG1 siRNA delivered by lentiviral vector. Cell migration and proliferation were significantly decreased and the cell cycle was arrested. Western blot analysis indicated that the protein levels of p-AKT and p-ERK were significantly lower in the BCSG1 siRNA-treated groups compared with the control and negative control groups. Therefore, BCSG1 siRNA delivered by lentiviral vector was able to significantly reduce BCSG1 expression, suppress cell migration and proliferation, possibly through the reduction of the protein levels of p-AKT and p-ERK.
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