Inclusion of memory effects in a dynamic model of electroporation in biological tissues.

This article presents experimental and computational results of electroporation in rat liver. The experiments were performed using different forms of electrodes and waveforms of applied electric pulses. For the numerical simulation, the electroporation model proposed by Ramos and Weinert in a previous publication was used. Dynamic adjustments were used for obtaining a good modeling of the electric current. A single set of model parameters was obtained to fit the simulated current response for different waveforms and electrodes. These parameters were obtained with the use of a genetic algorithm that minimized the error between the simulated and experimental currents. The electroporation model with dynamic adjustment proved to be an appropriate simulation tool to predict the tissue conductivity during stimulation by intense electrical fields.

Anti-tumor effects of nanosecond pulsed electric fields in a murine model of pancreatic cancer.

Nanosecond Pulsed Electric Fields (nsPEFs) treatment has demonstrated anti-tumor effects on various cancer cell lines. However, the use of this treatment in pancreatic cancer is limited. This study demonstrated that nsPEFs treatment effectively suppressed the proliferation and metastasis of pancreatic cancer cells, while also inducing DNA damage. Meanwhile, animal experiments have shown that nsPEFs effectively suppressed the growth of pancreatic cancer, even in cases where the tumor volume exceeded 500-600 mm3 at the initiation of treatment. Notably, a single treatment session was found to significantly inhibit tumor growth, while also showing no adverse effects on the main organs of the mice. RNA sequencing and bioinformatics revealed that seven key genes (CDK1, CENPA, UBE2C, CCNB2, PLK1, CCNA2, and CCNB14) were significantly correlated with the overall survival rate of patients with pancreatic cancer. Through the application of the competing endogenous RNA (ceRNA) hypothesis, two miRNAs (has-let-7b-5p and hsa-miR-193b-3p) and four lncRNAs (MIR4435-2HG, ZNF436-AS1, LINC01089, and MIR4435-2HG) were identified as significantly impacting the overall survival of pancreatic cancer patients. We have effectively developed an mRNA-miRNA-lncRNA network that has the potential to stimulate further investigation into the underlying mechanisms of nsPEFs on pancreatic cancer.