Current evidence and therapeutic implication of PANoptosis in cancer.

Regulated cell death (RCD) is considered a critical pathway in cancer therapy, contributing to eliminating cancer cells and influencing treatment outcomes. The application of RCD in cancer treatment is marked by its potential in targeted therapy and immunotherapy. As a type of RCD, PANoptosis has emerged as a unique form of programmed cell death (PCD) characterized by features of pyroptosis, apoptosis, and necroptosis but cannot be fully explained by any of these pathways alone. It is regulated by a multi-protein complex called the PANoptosome. As a relatively new concept first described in 2019, PANoptosis has been shown to play a role in many diseases, including cancer, infection, and inflammation. This study reviews the application of PCD in cancer, particularly the emergence and implication of PANoptosis in developing therapeutic strategies for cancer. Studies have shown that the characterization of PANoptosis patterns in cancer can predict survival and response to immunotherapy and chemotherapy, highlighting the potential for PANoptosis to be used as a therapeutic target in cancer treatment. It also plays a role in limiting the spread of cancer cells. PANoptosis allows for the elimination of cancer cells by multiple cell death pathways and has the potential to address various challenges in cancer treatment, including drug resistance and immune evasion. Moreover, active investigation of the mechanisms and potential therapeutic agents that can induce PANoptosis in cancer cells is likely to yield effective cancer treatments and improve patient outcomes. Research on PANoptosis is still ongoing, but it is a rapidly evolving field with the potential to lead to new treatments for various diseases, including cancer.

Incipient fault detection for nonlinear processes based on dynamic multi-block probability related kernel principal component analysis.

In order to detect the incipient faults of nonlinear industrial processes effectively, this paper proposes an enhanced kernel principal component analysis (KPCA) method, called multi-block probability related KPCA method (DMPRKPCA). First of all, one probability related nonlinear statistical monitoring framework is constructed by combining KPCA with Kullback Leibler divergence (KLD), which measures the probability distribution changes caused by small shifts. Second, in view of the problem that the traditional KLD ignores the dynamic characteristic of process data, the dynamic KLD component is designed by applying the exponentially weighted moving average approach, which highlights the temporal data changes in the moving window. Third, considering that the holistic KLD component may submerge the local statistical changes, a multi-block modeling strategy is designed by dividing the whole KLD components into two sub-blocks corresponding to the mean and variance information, respectively. Case studies on one numerical system and the simulated chemical reactor demonstrate the superiority of the DMPRKPCA method over the conventional KPCA method.

High RNA-Binding Motif Protein 3 (RBM3) Expression is Independently Associated with Prolonged Overall Survival in Intestinal-Type Gastric Cancer.

BACKGROUND High expression of the RNA-binding motif protein 3 (RBM3) has previously been described as a favorable clinicopathological factor in several cancers, including ovarian cancer, colorectal cancer, prostate cancer, and breast cancer. The aim of this study was to examine the prognostic implications of RBM3 expression in gastric cancer. MATERIAL AND METHODS Immunohistochemical analysis of RBM3 expression from 123 patients showed that upregulated RBM3 was mainly found in intestinal-type (n=78, case=59) cancer compared to diffuse-type (n=15, case=8) and mixed-type (n=30, case=17). There were no significant differences in RBM3 expression in subgroups of clinicopathological parameters. RBM3 expression was strongly associated with p53 but not with Ki-67. Cox univariate analysis revealed that high RBM3 expression was closely associated with prolonged overall survival time (HR 0.504, 95% CI: 0.300-0.845, P=0.009). Multivariate analysis remained supporting these associations when adjusted for age, sex, tumor size, differentiation grade, TNM stage, lymphatic invasion, and Ki-67 and p53 expression (HR 0.541, 95% CI: 0.308-0.952, P=0.033), where Lauren grade was not included. Lauren grade was the only factor with independent prognostic significance in a model adjusted for all factors. These results were confirmed by Kaplan-Meier analysis. RESULTS Therefore, together with the upregulated RBM3 expression observed in intestinal-type of Lauren grade, we suggest that upregulation of RBM3 is partially responsible for the favorable overall survival in cases with intestinal Lauren grade, which is demonstrated by the box diagram and Kaplan-Meier analysis. Our results showed that high RBM3 expression in gastric cancer is mainly found in intestinal-type of Lauren grade and is associated with longer overall survival time. CONCLUSIONS We found that RBM3 is a potential biomarker of good prognosis and deserves further validation.

Association between single nucleotide polymorphisms and wheat-dependent exercise-induced anaphylaxis in Chinese population.

BACKGROUND: Wheat-dependent exercise-induced anaphylaxis (WDEIA) is a complex disease resulting from interaction of environmental and genetic factors. The aim of this study was to investigate the association of three single nucleotide polymorphisms (SNPs) (IL-4-C590T, IL-4RA A1727G and IL-10-A627C) with WDEIA. METHODS: SNP genotyping was conducted among the case subset composing 51 patients with WDEIA and four control subsets by sequencing DNA yielded from polymerase chain reaction (PCR). Statistical analysis of genotype/allele's frequencies between cases and controls were carried out through Fisher's exact test with the software of SPSS16.0. RESULTS: For IL-4-C590T, there were statistically significant differences of genotype frequencies in case-control 1 (P = 0.03) and case-control 4 (P = 0.001) and statistically significant differences of allele frequencies in three case-control models (case-control 1: OR = 4.27 (95%CI = 1.40 - 13.07), P = 0.009; case-control 3: OR = 1.99 (95%CI = 1.13 - 3.50), P = 0.02; case-control 4: OR = 2.39 (95%CI = 1.49 - 3.84), P = 0.001). All other association studies showed no statistically significant (P > 0.05). CONCLUSIONS: IL-4-C590T may be related to the susceptibility of WDEIA, and the minor allele C might be a potential risk factor accounting for WDEIA. IL-4RA A1727G and IL-10-A627C might not be involved in the occurrence of WDEIA.