Liver transplantation for hepatocellular carcinoma

Magnetic Resonance Imaging of Liver Transplant

MR imaging increasingly has been adopted for follow-up imaging post-liver transplantation and for diagnosis of its complications. These include vascular and biliary complications as well as post-transplant malignancies. Interpretation of postoperative MR imaging should take into account the surgical technique and expected post-transplant changes. Contrast-enhanced MR imaging has high sensitivity for identification of vascular complications. MR cholangiopancreatography on the other hand is the most accurate noninvasive method for evaluation of biliary complications.

Current updates in machine learning in the prediction of therapeutic outcome of hepatocellular carcinoma: what should we know?

With the development of machine learning (ML) algorithms, a growing number of predictive models have been established for predicting the therapeutic outcome of patients with hepatocellular carcinoma (HCC) after various treatment modalities. By using the different combinations of clinical and radiological variables, ML algorithms can simulate human learning to detect hidden patterns within the data and play a critical role in artificial intelligence techniques. Compared to traditional statistical methods, ML methods have greater predictive effects. ML algorithms are widely applied in nearly all steps of model establishment, such as imaging feature extraction, predictive factor classification, and model development. Therefore, this review presents the literature pertaining to ML algorithms and aims to summarize the strengths and limitations of ML, as well as its potential value in prognostic prediction, after various treatment modalities for HCC.

Underlying mechanisms of apoptosis in HepG2 cells induced by polyphyllin I through Fas death and mitochondrial pathways

Aims: Polyphyllin I, a steroidal saponin in Rhizoma paridis, which possess broad application prospects in cancer prevention and treatment. The purpose of this study was to determine the potential cytotoxicity and mechanism of Polyphyllin I in HepG2 cells.Main methods: In this study, we used MTT to evaluate cell survival. Cell apoptosis rate, cell cycle distribution, mitochondrial membrane potential and ros levels were measured by flow cytometry, and the expression of apoptosis-related proteins was determined by Western blot analysis.Key findings: Polyphyllin I significantly reduced cell viability and induced HepG2 cell apoptosis in a dose and time-dependent manner. Compared with the control group, it could induce reactive oxygen species (ROS) generation and depolarization of matrix metalloproteinases in liver cells. Polyphyllin I dose-dependent increased the release of mitochondrial cytochrome c, and levels of Fas, p53, p21, and Bax/Bcl-2 ratios, as well as the activation of cleaved caspase-3, -8, -9, and subsequent cleavage of the poly (ADP-ribose) polymerase (PARP). The G2/M phase cell cycle arrest was induced by increasing the expression of p21 and cyclin E1, and significantly reducing the expression of cyclin A2 and CDK2.Significance: Our results suggested that Polyphylin I inhibited cell proliferation and growth by triggering G2/M cell cycle arrest, and induced apoptosis through intracellular and extracellular apoptosis pathways to cause cell death by generating reactive oxygen species.

PCL–DOX microdroplets: an evaluation of the enhanced intracellular delivery of doxorubicin in metastatic cancer cells via in silico and in vitro approaches

A schematic diagram of HCC & TACE; injections of HepaSphere with DOX are made into the femoral artery, abdominal aorta, and hepatic artery to make the tumor shrink to a resectable size due to a shortage of nutrients and drug treatment.