SNP rs2920280 in PSCA Is Associated with Susceptibility to Gastric Mucosal Atrophy and Is a Promising Biomarker in Japanese Individuals with Helicobacter pylori Infection.
Hajime IsomotoTakuki SakaguchiTatsuo InamineShintaro TakeshitaDaisuke FukudaKen OhnitaTsutomu KandaKayoko MatsushimaTetsuro HondaTakaaki SugiharaTatsuro HirayamaKazuhiko NakaoKazuhiro TsukamotoPublished in: Diagnostics (Basel, Switzerland) (2022)
Helicobacter pylori infection results in gastric cancer (GC) with gastric mucosal atrophy (GMA). Some single-nucleotide polymorphisms (SNPs) in the prostate stem cell antigen gene ( PSCA ) are associated with GC and duodenal ulcers. However, the relationship of other identified SNPs in PSCA with these diseases remains unclear. Herein, the association between PSCA SNPs and GMA among 195 Japanese individuals with H. pylori infection was evaluated. The definition of GMA or non-GMA was based on serum pepsinogen levels or endoscopic findings. Five tag PSCA SNPs were analyzed using PCR high-resolution melting curve analysis with nonlabelled probes. The frequencies of alleles and the genotypes of each tag SNP were compared between the GMA and non-GMA groups. Subsequently, a genetic test was performed using associated SNPs as biomarkers to detect patients developing GMA. Two tag PSCA SNPs (rs2920280 and rs2294008) were related to GMA susceptibility. Individuals with the rs2920280 G/G genotype or the rs2294008 T/T genotype in PSCA had 3.5- and 2.1-fold susceptibility to GMA, respectively. In conclusion, SNP rs2920280 is a possible biomarker for detecting individuals developing GMA. PSCA polymorphisms may be useful biomarkers for predicting GMA linked to GC risk and a screening endoscopy strategy to detect GC related to early stage H. pylori associated GMA.
Keyphrases
- genome wide
- helicobacter pylori infection
- early stage
- stem cells
- dna methylation
- high resolution
- helicobacter pylori
- end stage renal disease
- copy number
- prostate cancer
- chronic kidney disease
- genome wide association
- gene expression
- peritoneal dialysis
- mesenchymal stem cells
- prognostic factors
- gas chromatography
- bone marrow
- fluorescence imaging
- transcription factor
- data analysis
- high density
- rectal cancer
- tandem mass spectrometry