Kaempferol-induced mitochondrial damage promotes NF-κB-NLRP3-caspase-1 signaling axis-mediated pyroptosis in gastric cancer cells.

GC is a gastrointestinal tumor with high morbidity and mortality. Owing to the high rate of postoperative recurrence associated with GC, the effectiveness of radiotherapy and chemotherapy may be compromised by the occurrence of severe undesirable side effects. In light of these circumstances, KP, a flavonoid abundantly present in diverse herbal and fruit sources, emerges as a promising therapeutic agent with inherent anti-tumor properties. This study endeavors to demonstrate the therapeutic potential of KP in the context of GC while unraveling the intricate underlying mechanisms. Notably, our investigations unveil that KP stimulation effectively promotes the activation of NLRP3 inflammatory vesicles within AGS cells by engaging the NF-κB signaling pathway. Consequently, the signal cascade triggers the cleavage of Caspase-1, culminating in the liberation of IL-18. Furthermore, we ascertain that KP facilitate AGS cell pyroptosis by inducing mitochondrial damage. Collectively, our findings showcase KP as a compelling candidate for the treatment of GC-related diseases, heralding new possibilities for future therapeutic interventions.

Baicalin Induces Gastric Cancer Cell Pyroptosis through the NF-κB-NLRP3 Signaling Axis.

Pyroptosis, a highly regulated form of cell death, could hold the key to revolutionizing cancer treatment. With cancer posing a significant global health challenge due to its high morbidity and mortality rates, exploring unconventional therapeutic approaches becomes imperative. Chinese medicine, renowned for its holistic principles, presents intriguing possibilities for treating gastric cancer (GC). Notably, baicalin, a prominent component found in the traditional Chinese herb Scutellaria baicalensis Georgi, has shown promising clinical potential in gastric cancer treatment.To shed light on this intriguing phenomenon, a multidisciplinary approach was undertaken, combining systems biology, bioinformatics, and in vitro studies. The primary objective was to unravel the intricate workings underlying baicalein's ability to promote gastric cancer cell pyroptosis.The findings from this comprehensive study unveiled an essential signaling axis involving NF-κB-NLRP3, which plays a pivotal role in the process of baicalein-induced pyroptosis in gastric cancer cells. As the investigation progressed, it became evident that baicalein exhibited a remarkable capability to reverse the effects of the NLRP3 inhibitor, MCC950 Sodium. Excitingly, the efficacy of cell pyroptosis induction by baicalein demonstrated a discernible dose-dependent relationship, showcasing its potential as a valuable therapeutic agent.The complex nature of these findings underscores the intricate interplay between baicalein, NF-κB-NLRP3 signaling, and gastric cancer cell pyroptosis. As the scientific community delves deeper into the world of Pyroptosis and its therapeutic implications, baicalein's potential as a game-changer in the fight against gastric cancer becomes increasingly evident.

Identification of immune-related gene signature for predicting prognosis in uterine corpus endometrial carcinoma.

The objective of this study is to develop a gene signature related to the immune system that can be used to create personalized immunotherapy for Uterine Corpus Endometrial Carcinoma (UCEC). To classify the UCEC samples into different immune clusters, we utilized consensus clustering analysis. Additionally, immune correlation algorithms were employed to investigate the tumor immune microenvironment (TIME) in diverse clusters. To explore the biological function, we conducted GSEA analysis. Next, we developed a Nomogram by integrating a prognostic model with clinical features. Finally, we performed experimental validation in vitro to verify our prognostic risk model. In our study, we classified UCEC patients into three clusters using consensus clustering. We hypothesized that cluster C1 represents the immune inflammation type, cluster C2 represents the immune rejection type, and cluster C3 represents the immune desert type. The hub genes identified in the training cohort were primarily enriched in the MAPK signaling pathway, as well as the PD-L1 expression and PD-1 checkpoint pathway in cancer, all of which are immune-related pathways. Cluster C1 may be a more suitable for immunotherapy. The prognostic risk model showed a strong predictive ability. Our constructed risk model demonstrated a high level of accuracy in predicting the prognosis of UCEC, while also effectively reflecting the state of TIME.