PRKACG as A Potential Diagnos tic Molecular Biomarkerfor Uterine Corpus Endometrial Carcinoma

Background: Uterine corpus endometrial carcinoma (UCEC)is one of the mos t common gynecological malignant tumorsand remains a major public health problem. Although importantefforts have been made in explaining the progression ofUCEC, it is s till warranted that molecular pathways and mechanismsunderlying the pathogenesis of UCEC are to be elucidated.Here, we aimed to inves tigate the relationship betweenProtein Kinase CAMP-Activated Catalytic Subunit Gamma(PRKACG), and UCEC for the firs t time.Materials and Methods: The bioinformatics tools, UALCANand gene expression profiling interactive analysis ۲ (GEPIA۲)were used to analyze differential expression and the relationshipof gene expression with tumor s tage in UCEC patients. Besides,to find microRNAs and metabolites associated with DEGs, TargetScanand HMDB were used, respectively. Additionally, thefunctional enrichment analysis was performed for PRKACGco‐expressed genes in UCEC using the Enrichr database.Results: We found that the mRNA expression of the PRKACGwas down-regulated in UCEC (P value=۰.۰۰۱۵). This low expressionwas also correlated with tumor s tage. MiRNAs analysisshowed that miR-۳۰۶۴-۵p, miR-۳۲۶, miR-۱۲۹۸-۵p, miR-۳۸۱-۳p, miR-۵۰۴-۵p.۱, miR-۱۴۹-۵p could target PRKACGsignificantly. The co‐expressed gene analysis using HMDB showed that PRKACG was linked to different metabolites suchas, ۱H-Indole-۳-acetaldehyde, ۵-hydroxy, Serotonin, and SAdenosylhomocysteine. The functional enrichment analysisrevealed the top related biological processes (cerebellar granulecell differentiation, cerebral neuron cell differentiation, andregulation of vascular smooth muscle contraction) in GO enrichmentanalysis, and also KEGG pathway analysis showedseveral pathways associated with UCEC.Conclusion: Taken together, PRKACG, miRNAs, and metabolitesmight be used as novel biomarkers for UCEC, as well asfor diagnosis and guiding therapeutic s trategies. However, furthers tudies are required to confirm these results.

کلیدواژه ها:

Bioinformatics ، Diagnosis ، Tumor Differentiation ، Uterine Corpus Endometrial Carcinoma