Establishment of rat liver cancer cell lines with different metastatic potential

Oral exosome-like nanovesicles from Phellinus linteus suppress metastatic hepatocellular carcinoma by reactive oxygen species generation and microbiota rebalancing

The biomedical application of nanotechnology in cancer treatment has demonstrated significant potential for improving treatment efficiencies and ameliorating adverse effects. However, the medical translation of nanotechnology-based nanomedicines faces challenges including hazardous environmental effects, difficulties in large-scale production, and possible excessive costs. In the present study, we extracted and purified natural exosome-like nanoparticles (ELNs) from Phellinus linteus. These nanoparticles (denoted as P-ELNs) had an average particle size of 154.1 nm, displayed a negative zeta potential of -31.3 mV, and maintained stability in the gastrointestinal tract. Furthermore, P-ELNs were found to contain a diverse array of functional components, including lipids and pharmacologically active small-molecule constituents. In vitro investigations suggested that they exhibited high internalization efficiency in liver tumor cells (Hepa 1-6) and exerted significant anti-proliferative, anti-migratory, and anti-invasive effects against Hepa 1-6 cells. Strikingly, the therapeutic outcomes of oral P-ELNs were confirmed in an animal model of metastatic hepatocellular carcinoma by amplifying reactive oxygen species (ROS) and rebalancing the gut microbiome. These findings demonstrate the potential of P-ELNs as a promising oral therapeutic platform for liver cancer treatment.

Long non-coding RNA CASC7 is a promising serum biomarker for hepatocellular carcinoma

BACKGROUND

At present, a large number of studies have found that long non-coding RNAs (lncRNAs) can be used as biomarkers for diagnosis and monitoring prognosis of hepatocellular carcinoma (HCC). The expression of lncRNA cancer susceptibility candidate 7 (CASC7) in HCC has rarely been studied. The purpose of this study was to explore the expression of CASC7 and its correlation with clinical features, and to further analyze its diagnostic value in HCC.

METHODS

Serum samples were collected from 80 patients with HCC, 80 patients with chronic hepatitis B (CHB), and 80 healthy people. The expression level of serum CASC7 was detected by droplet digital PCR. Appropriate parametric and nonparametric tests were used for data analysis.

RESULTS

The results showed that the expression of CASC7 in serum of patients with HCC was significantly higher than that of patients with CHB (median: 8.8 versus 2.2 copies/µl, p < 0.001) and healthy controls (median: 8.8 versus 3.8 copies/µl, p < 0.001). High expression of serum CASC7 was significantly correlated with tumor number (p = 0.005), intrahepatic metastasis (IM) (p < 0.001), tumor size (p = 0.007) and tumor-node-metastasis (TNM) stage (p = 0.008). The area under the curve (AUC) of CASC7 to distinguish HCC patients from CHB patients and healthy controls was 0.808 (95% CI: 0.742-0.874) at the cut-off value of 7.24 copies/µl with 63.8% sensitivity and 95.2% specificity.

CONCLUSIONS

This study suggested that CASC7 was significantly up-regulated in serum of patients with HCC and closely related to tumor number, IM, tumor size and TNM stage, which may serve as a promising diagnostic biomarker.

The distribution of liver cancer stem cells correlates with the mechanical heterogeneity of liver cancer tissue

The survival of cancer stem cells is usually limited to a specific tumor microenvironment, and this microenvironment plays a vital role in the development of tumors. The mechanical properties of the microenvironment differ in different regions of solid tumors. However, in solid tumors, whether the distribution of cancer stem cells relates to the mechanical microenvironment of different regions is still unclear. In this study, we undertook a biophysical and biochemical assessment of the changes in the mechanical properties of liver tissue during the progression of liver cancer and explored the distribution of liver cancer stem cells in liver cancer tissues. Our analysis confirmed previous observations that the stiffness of liver tissue gradually increased with the progress of fibrosis. In liver cancer tissues, we found obvious mechanical heterogeneity: the core of the tumor was soft, the invasive front tissue was the hardest, and the para-cancer tissue was in an intermediate state. Interestingly, the greatest number of liver cancer stem cells was found in the invasive front part of the tumor. We finally established that stroma stiffness correlated with the number of liver cancer stem cells. These findings indicate that the distribution of liver cancer stem cells correlates with the mechanical heterogeneity of liver cancer tissue. This result provides a theoretical basis for the development of targeted therapies against the mechanical microenvironment of liver cancer stem cells.