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Sigma‐1 receptor (S1R) regulates reactive oxygen species (ROS) accumulation via nuclear factor erythroid 2‐related factor 2 (NRF2), which plays a vital role in ferroptosis. Sorafenib is a strong inducer of ferroptosis but not of apoptosis. However, the mechanism of sorafenib‐induced ferroptosis in hepatocellular carcinoma (HCC) remains unclear. In this study, we found for the first time that sorafenib induced most of S1Rs away from nucleus compared to control groups in Huh‐7 cells, and ferrostatin‐1 completely blocked the translocation. S1R protein expression, but not mRNA expression, in HCC cells was significantly up‐regulated by sorafenib. Knockdown of NRF2, but not of p53 or hypoxia‐inducible factor 1‐alpha (HIF1α), markedly induced S1R mRNA expression in HCC cells. Inhibition of S1R (by RNAi or antagonists) increased sorafenib‐induced HCC cell death in vitro and in vivo. Knockdown of S1R blocked the expression of glutathione peroxidase 4 (GPX4), one of the core targets of ferroptosis, in vitro and in vivo. Iron metabolism and lipid peroxidation increased in the S1R knockdown groups treated with sorafenib compared to the control counterpart. Ferritin heavy chain 1 (FTH1) and transferrin receotor protein 1 (TFR1), both of which are critical for iron metabolism, were markedly up‐regulated in HCC cells treated with erastin and sorafenib, whereas knockdown of S1R inhibited these increases. In conclusion, we demonstrate that S1R protects HCC cells against sorafenib and subsequent ferroptosis. A better understanding of the role of S1R in ferroptosis may provide novel insight into this biological process.

Background and Aim:  A number of studies have shown that hepatitis virus infections may be associated with cholangiocarcinoma (CC). However, the relationship between hepatitis B virus (HBV) infection and CC, especially intrahepatic cholangiocarcinoma (ICC), is still controversial. Methods:  Relevant studies were identified by searching PUBMED, EMBASE and Web of Science Datebases up to September 2011. Pooled risk estimates were calculated using a random‐effects model. Potential sources of heterogeneity were performed by subgroup analyses. A total of 18 papers were included in this meta‐analysis. Results:  The pooled risk estimate of all studies showed a statistically significant increased risk of CC among individuals with HBV infection (rate ratio [RR]: 2.66; 95% confidence interval [CI]: 1.97, 3.60). Compared with those without HBV infection, persons with HBV infection had an increased risk of intra‐CC (ICC) (RR: 3.42; 95% CI: 2.46, 43.74), extrahepatic CC (OR: 1.46; 95% CI: 0.98, 2.17), and CC (OR: 2.03; 95% CI: 1.15, 3.56). In a subgroup analysis of HBV infection and risk of ICC, the pooled risk estimate of studies in Asians (RR: 3.63; 95% CI: 2.56, 5.13) was higher than that in non‐Asians (RR: 1.93; 95% CI: 0.78, 4.76). A Begg funnel plot and Egger test revealed no evidence for publication bias. Conclusions:  This meta‐analysis shows that HBV is associated with increased risk of CC, especially for ICC. Further investigation is needed to focus on the mechanism by which HBV may be involved in the pathogenesis of CC.

Primary liver cancer is the second most frequent cause of cancer‐related deaths. Ferroptosis, a recognized form of regulated cell death, recently gains attention. MicroRNA‐214‐3p (miR‐214) plays a regulatory role in hepatocarcinogenesis. However, the role of miR‐214 in cellular ferroptosis is unclear. This study aimed at elucidating whether miR‐214 could regulate ferroptosis of liver cancer. In vitro, HepG2 and Hep3B cancer cells were treated with erastin, a ferroptosis inducer, and then erastin was demonstrated to suppress the cell viability. Moreover, pre‐miR‐214 overexpression caused that HepG2 and Hep3B cells were more susceptible to erastin, whereas anti‐miR‐214 sponge showed the opposite effect. Additionally, pre‐miR‐214 overexpression increased the malondialdehyde and reactive oxygen species levels, upregulated Fe2+ concentration, and decreased glutathione levels in cancer cells exposed to erastin. Further, erastin enhanced the activation of transcription factor 4 (ATF4) in HepG2 and Hep3B cells, and pre‐miR‐214 overexpression inhibited ATF4 expression. The luciferase reporter data validated ATF4 as a direct target of miR‐214. Cancer cells transfected with ATF4 overexpression plasmid rendered lower susceptible to miR‐214‐induced ferroptotic death. In vivo, erastin significantly reduced the size and weight of xenografted tumors, and miR‐214 elevated the ferroptosis‐promoting effects of erastin and decreased ATF4 expression. In summary, our study demonstrates that the ferroptosis‐promoting effects of miR‐214 in hepatoma cells are attributed at least to its inhibitory effects on ATF4, which may provide a new target for therapy of hepatoma regarding ferroptosis.

Liver X receptors (LXRs) are nuclear receptors that play a central role in cholesterol metabolism. When activated, LXRs induce a series of genes that are involved in cholesterol efflux, absorption, transport and excretion. In recent studies, LXRs have also been shown to play an important role in inflammatory signaling. LXR agonists show promise as potential therapeutics, given their anti-atherogenic and anti-inflammatory properties. The function of LXRs in cholesterol efflux and inflammatory signaling make them attractive as therapies for cardiovascular and inflammatory diseases.

Numerous research efforts have been conducted to simulate crowd movements, while relatively few of them are specifically focused on multi-hazard situations. In this paper, we propose a novel crowd simulation method by modeling the generation and contagion of panic emotion under multi-hazard circumstances. In order to depict the effect from hazards and other agents to crowd movement, we first classify hazards into different types (transient and persistent, concurrent and nonconcurrent, static and dynamic) based on their inherent characteristics. Second, we introduce the concept of perilous field for each hazard and further transform the critical level of the field to its invoked-panic emotion. After that, we propose an emotional contagion model to simulate the evolving process of panic emotion caused by multiple hazards. Finally, we introduce an Emotional Reciprocal Velocity Obstacles (ERVO) model to simulate the crowd behaviors by augmenting the traditional RVO model with emotional contagion, which for the first time combines the emotional impact and local avoidance together. Our experiment results demonstrate that the overall approach is robust, can better generate realistic crowds and the panic emotion dynamics in a crowd. Furthermore, it is recommended that our method can be applied to various complex multi-hazard environments.

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