Identification of uridine phosphatase 1 as a potential therapeutic target in gastric cancer by integrated bioinformatics analysis and experimental validation
Bioinformatics analysis identified uridine phosphatase 1 as a key prognostic marker and potential therapeutic target in gastric cancer cohorts, suggesting novel treatment avenues.
Key Points
High expression of uridine phosphatase 1 indicates poor prognosis in gastric cancer patients, emphasizing its clinical relevance.
The developed prognostic model accurately predicted survival outcomes in gastric cancer patients, demonstrating significant predictive value.
Integrated bioinformatics and experimental approaches revealed immune-related gene modules linked to gastric cancer, enhancing understanding of its pathology.
Machine-learning diagnostic models were effective in differentiating gastric cancer patients from controls, indicating the utility of identified biomarkers.