Unveiling the Role of SLC2A1 and MPST in Uterine Corpus Endometrial Carcinoma: Diagnostic and Prognostic Insights

Abstract

Abstract Background Uterine corpus endometrial carcinoma (UCEC) represents the prevailing neoplasm affecting the female reproductive system. The early diagnosis of UCEC is crucial for improving the survival rate of patients. In this study, we study the two specific genes: SLC2A1, which encodes the facilitated glucose transporter, and MPST, which encodes 3-mercaptopyruvate sulfurtransferase. SLC2A1 and MPST have been identified as important regulators in cancer. Nevertheless, it is still unknown how SLC2A1 and MPST function and operate within endometrial cancer. The objective of this study is to investigate the potential significance of SLC2A1 and MPST in terms of diagnosis and prognosis for UCEC. Methods Using data from the TCGA database, we analyzed the levels of expression for SLC2A1 and MPST in 33 various cancer types. Then we created a protein-protein interaction (PPI) network that incorporated SLC2A1, MPST, and relevant genes.Furthermore, we performed KEGG/GO pathway enrichment analysis on these genes. We utilized Spearman correlation analysis to examine the correlation between SLC2A1 and MPST expression and the infiltration of immune cells, as well as the association between immune checkpoint genes and TP53. We analyzed DNA methylation changes in the SLC2A1 and MPST genes and their impact on survival outcomes. We investigated the correlation between SLC2A1 and MPST expression and clinicopathological features of patients with endometrial cancer Additionally, we evaluated the diagnostic and prognostic predictive capabilities of SLC2A1 and MPST. Results In the tumor tissues, MPST and SLC2A1 expression levels increased significantly. Our research revealed a noteworthy association between the levels of expression of SLC2A1 and MPST, and the infiltration of immune cells, the presence of immune checkpoint genes, and TP53 in UCEC tissues. Furthermore, there was a remarkable association between the expression levels of SLC2A1 and MPST and the clinical stage, histological type, and histological grade in UCEC tissues. Our analysis using Kaplan-Meier survival curves and diagnostic subject operating characteristics (ROC) curves revealed that both SLC2A1 and MPST exhibit robust diagnostic and prognostic significance. Conclusions The study we conducted emphasizes the diagnostic and prognostic potential of SLC2A1 and MPST as biomarkers for UCEC. These findings offer encouraging prospects for targeted therapies.