RT Journal Article SR Electronic T1 Prevalence of H. pylori Infection and Atrophic Gastritis in a Population-based Screening with Serum Biomarker Panel (GastroPanel®) in St. Petersburg JF Anticancer Research JO Anticancer Res FD International Institute of Anticancer Research SP 4129 OP 4138 VO 36 IS 8 A1 LASLO D. ROMAN A1 RUSLAN LUKYANCHUK A1 OLEG A. SABLIN A1 ELENA I. ARASLANOVA A1 CARITA EKLUND A1 PANU HENDOLIN A1 LEA PALOHEIMO A1 KARI SYRJÄNEN YR 2016 UL http://ar.iiarjournals.org/content/36/8/4129.abstract AB Background/Aim: Russian Federation is among the high-incidence countries for gastric cancer (GC), with the incidence being projected to continue increasing. Using a non-invasive blood test with four stomach-specific biomarkers (pepsinogen-I (PG-I) and –II (PG-II), amidated gastrin-17 (G-17) and Helicobacter pylori (HP) IgG antibodies) in a hospital-based screening setting, we aimed to determine the prevalence of GC risk conditions: HP-infection and atrophic gastritis (AG). Patients and Methods: A population-derived cohort of 918 asymptomatic subjects (646 women and 272 men) with a mean age of 51.8 years (range=26-83) was examined with the GastroPanel® (GP) test. GP results were verified by gastroscopy and biopsies (the Updated Sydney System (USS) classification for all test-positive AG cases and for random 5% test-negatives (n=263) to correct for the verification bias. Results: Of the 918 subjects, only 199 (21.7%) tested completely normal, while 76.7% (704/918) had HP-infection. Altogether, in 99 subjects (10.8%), GP suggested AG: atrophic gastritis in the antrum (AGA) (n=21), atrophic gastritis in the corpus (AGC) (n=69) or atrophic pangastritis (AGpan) (n=9). The overall concordance between GP and USS classification was 82.5% (217/263) with weighted kappa intra-class correlation coefficient (ICC)=0.875 (95% confidence interval (CI)=0.840-0.901). The sensitivity/specificity balance in receiver operating characteristic (ROC) analysis for PG-I as a marker of moderate/severe AGC (AGC2+) had area under the curve (AUC)=0.895 (95%CI=0.837-0.953). Using the AGC2+ end-point, verification bias-corrected specificity of PGI reached 96.4% (95%CI=94.7-97.9) and that of PGI/PGII ratio 94.6% (95%CI=92.6-96.3), with inevitable erosion in sensitivities. Conclusion: While capable of detecting the subjects at risk for GC (HP and/or AG), GP should be the cost-effective means to break the current ominous trend in GC incidence in Russian Federation.