KCNJ15 (Potassium Inwardly Rectifying Channel Subfamily J Member 15)

NET-related genes are useful for categorizing GC samples into different subtypes and potentially playing significant roles in forecasting prognosis and guiding immunotherapy in GC. Furthermore, the six-gene risk model may aid in personalized prognosis prediction for GC patients.

Experimental validation confirmed the significant overexpression of KCNJ15, FASN, and ADAMTS12 in BC tissues. The prognostic model established in this study provides a novel tool for risk stratification of BC patients while simultaneously establishing the foundation for in-depth exploration of PANoptosis mechanisms in BC.

Kir4.2 participates in cell electrotaxis chemotaxis by sensing extracellular electric fields and functions as a K + sensor in the proximal tubules of the kidney, playing a crucial role in maintaining acid-base and potassium balance. This article provides a comprehensive review of the main physiological characteristics of the Kir4.2 channel, the various pathological processes it is involved in, and the human diseases resulting from Kir4.2 dysfunction.

In summary, our data demonstrated that KCNJ15, as a novel epigenetic silencing tumor suppressor, regulates cell growth, invasion, and migration by binding to GNB1 protein mediating the Hippo-YAP signaling pathway during chemical-induced lung carcinogenesis and progression. It provides novel insights into epigenetic regulation mechanism during carcinogenesis induced by environmental pollutants.

The survival analysis showed the association of these 5 DEGs with poor survival of gastric cancer patients. To conclude, this study revealed a panel of 5 genes, which can be employed as diagnostic and prognostic biomarkers of gastric cancer patients.

Geographic-specific differentially expressed genes in low-incidence areas were highly correlated with KCNJ15, MMP26, KCNK3, and SCCB1A1, which play a major role in ion channel-related functions. This study suggests that geographic heterogeneity in PC incidence is associated with the expression levels of genes associated with amino acid metabolism, lipid metabolism, and ion channels.

Overall, this research identified a novel signature based on seven NETs-associated genes to predict prognosis and identify tumor microenvironment of GC. And high NE-DNA level may be a critical factor in the poor OS associated with NETs.