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http://purl.uniprot.org/citations/37670284http://www.w3.org/1999/02/22-rdf-syntax-ns#typehttp://purl.uniprot.org/core/Journal_Citation
http://purl.uniprot.org/citations/37670284http://www.w3.org/2000/01/rdf-schema#comment"

Background

Gastric cancer (GC) is one of the most common malignancies, affected by several genetic loci in the clinical phenotype. This study aimed to determine the association between PTGER4 and PRKAA1 gene polymorphisms and the risk of GC.

Methods

A total of 509 GC patients and 507 age and sex-matched healthy controls were recruited to explore the association between PTGER4 and PRKAA1 genetic polymorphisms and GC susceptibility. Logistic regression analysis was used to study the correlation between these SNPs and GC, with odd ratio (OR) and 95% confidence interval (CI) as indicators. Multifactor dimensionality reduction was utilized to analyze the genetic relationships among SNPs. was conducted to predict gene expression, the impact of SNPs on gene expression, and the signaling pathways involved in PTGER4 and PRKAA1.

Results

Overall, rs10036575 in PTGER4 (OR = 0.82, p = 0.029), rs10074991 (OR = 0.82, p = 0.024) and rs13361707 (OR = 0.82, p = 0.030) in PRKAA1 were associated with susceptibility to GC. Stratification analysis revealed that the effects of these SNPs in PTGER4 and PRKAA1 on GC susceptibility were dependent on smoking and were associated with a reduced risk of adenocarcinoma (p < 0.05). Bioinformatics analysis showed an association between SNPs and corresponding gene expression (p < 0.05), and PRKAA1 may affect GC by mediating RhoA.

Conclusion

This study suggests that PTGER4 and PRKAA1 SNPs might affect the susceptibility of GC, providing a new biological perspective for GC risk assessment, pathogenesis exploration, and personalized treatment."xsd:string
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http://purl.uniprot.org/citations/37670284http://purl.uniprot.org/core/author"Chen Z."xsd:string
http://purl.uniprot.org/citations/37670284http://purl.uniprot.org/core/author"Li Y."xsd:string
http://purl.uniprot.org/citations/37670284http://purl.uniprot.org/core/author"Li P."xsd:string
http://purl.uniprot.org/citations/37670284http://purl.uniprot.org/core/author"Song J."xsd:string
http://purl.uniprot.org/citations/37670284http://purl.uniprot.org/core/author"Yu S."xsd:string
http://purl.uniprot.org/citations/37670284http://purl.uniprot.org/core/author"Zhang R."xsd:string
http://purl.uniprot.org/citations/37670284http://purl.uniprot.org/core/author"Hu F."xsd:string
http://purl.uniprot.org/citations/37670284http://purl.uniprot.org/core/author"Yuan G."xsd:string
http://purl.uniprot.org/citations/37670284http://purl.uniprot.org/core/author"Tu R."xsd:string
http://purl.uniprot.org/citations/37670284http://purl.uniprot.org/core/date"2023"xsd:gYear
http://purl.uniprot.org/citations/37670284http://purl.uniprot.org/core/name"BMC Med Genomics"xsd:string
http://purl.uniprot.org/citations/37670284http://purl.uniprot.org/core/pages"209"xsd:string
http://purl.uniprot.org/citations/37670284http://purl.uniprot.org/core/title"Association of PTGER4 and PRKAA1 genetic polymorphisms with gastric cancer."xsd:string
http://purl.uniprot.org/citations/37670284http://purl.uniprot.org/core/volume"16"xsd:string
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