KDELR3 (KDEL Endoplasmic Reticulum Protein Retention Receptor 3)

Depletion of CHST9 expression dramatically inhibited the proliferative capacity of UVM cells, concurrently suppressing their metastatic activity and invasive properties. GGRGs are promising predictors of UVM prognosis and may inform personalized treatment strategies, contributing to a deeper understanding of the molecular mechanisms driving this aggressive cancer.

Finally, rescue experiments demonstrated that FOXM1 inhibition-induced cell apoptosis and invasion could be reversed by KDELR3 overexpression. Overall, our findings indicated that KDELR3 is transcriptionally upregulated by FOXM1 and accelerates tumor growth and lung metastasis in LUAD by inhibiting ER stress-induced cell apoptosis.

Furthermore, gene set enrichment analysis unveiled potential signaling pathways associated with KDELR3 expression in glioma, primarily encompassing Cytokine-cytokine receptor interaction, extracellular matrix (ECM)-receptor interaction, and complement and coagulation cascades. In summation, our findings provide profound insights into the potential role of KDELR3 and its application as a novel and promising prognostic biomarker for glioma.

Our study finds a module and many important genes that are essential building blocks in the etiology of skin cancer, which may help us understand the molecular mechanisms of disease prevention.

Our multiple analyses suggested that the KDELRs are important signaling molecules in LUAD. These results provided novel insights for developing prognostic markers and novel therapies of LUAD.

The new prognostic prediction nomogram model of PSAT1 and clinicopathological variables combined was thus established, which may provide a new direction for individualized treatment for different-stage ccRCC patients.

ERS risk score greatly contributed to PAAD clinical assessment. KDELR3 and YWHAZ possessed cancer-promoting capacities, showing promise as a novel treatment target.

Our results revealed a distinct miR profile associated with dysregulated genes. The miRs and genes identified in this study may be used in the future as biomarkers and serve as potential therapeutic targets in EAC.

Among the ceRNA network, six highly expressed lncRNAs (AC005540.1, AC012146.1, AC073529.1, AC090772.3, AC138150.2, AL390728.6) and one highly expressed mRNA (PPFIA4) were the potential biomarkers of hepatocellular carcinoma which we firstly reported. The three predicted hypoxia-related regulatory axes may play a vital role in the progression of hepatocellular carcinoma.