title: Stomach-specific Biomarkers (GastroPanel) Can Predict the Development of Gastric Cancer in a Caucasian Population: A Longitudinal Nested Case-Control Study in Siberia.
abstract: OBJECTIVE
  Atrophic gastritis (AG) is the most important risk condition for gastric cancer (GC). A panel of stomach-specific serum biomarkers: pepsinogen (PG) I, pepsinogen (PG) II, gastrin-17 (G-17), and IgG antibodies to H. pylori (HP-Ab) detects the extent and grade of AG. The aim of the present study was to assess the predictive value of this 4-biomarker panel (GastroPanel, Biohit Oyj, Helsinki, Finland) in a case-control setting nested within a cohort of Caucasian population in Western Siberia.
  
  
  METHODS
  Both the cases and controls for the study derived from a population-based cohort of 45-69-year-old subjects (n=9,360) in the HAPIEE (Health, Alcohol and Psychosocial Factors In Eastern Europe) study, enrolled in Novosibirsk, Siberia during 2003-2005. Cases represent all GCs reported to the Cancer Registry until 2012, being matched (1:2) with healthy controls (COs). Altogether 156 (52 GCs and 104 COs) serum samples collected at study entry were available for GastroPanel analysis. Conditional logistic regression models (uni- and multivariate) were used to analyze this matched case-control setting.
  
  
  RESULTS
  The biomarker levels below cut-off at baseline predicted the development of GC as follows: PGI (OR=2.9; 95%CI=1.3-6.4), PGII (OR=9.0; 95%CI=1.8-44.3), PGI/PGII (OR=3.3; 95%CI=1.5-7.3); G-17 (OR=1.8; 95%CI=0.7-4.8), and HP-Ab (OR=0.4; 95%CI=0.1-1.3). In the multivariate model adjusted for sex, age, and all GastroPanel markers, PGI/PGII ratio was the most powerful independent predictor of GC (OR=2.9; 95% CI=1.01-8.0).
  
  
  CONCLUSIONS
  For the first time in a Caucasian population, we demonstrated that PGI, PGII and PGI/PGII ratio are reliable longitudinal predictors of incidence of GC.
authors.affiliation: Federal State Budgetary of Scientific Institution «Institution of Internal and Preventive Medicine», Novosibirsk, Russian Federation Novosibirsk State Medical University, Novosibirsk, Russian Federation.
authors.forename: Svetlana
authors.initials: S
authors.lastname: Kurilovich
authors.affiliation: Federal State Budgetary of Scientific Institution «Institution of Internal and Preventive Medicine», Novosibirsk, Russian Federation.
authors.forename: Anna
authors.initials: A
authors.lastname: Belkovets
authors.affiliation: Federal State Budgetary of Scientific Institution «Institution of Internal and Preventive Medicine», Novosibirsk, Russian Federation.
authors.forename: Oleg
authors.initials: O
authors.lastname: Reshetnikov
authors.affiliation: Federal State Budgetary of Scientific Institution «Institution of Internal and Preventive Medicine», Novosibirsk, Russian Federation.
authors.forename: Tatyana
authors.initials: T
authors.lastname: Openko
authors.affiliation: Federal State Budgetary of Scientific Institution «Institution of Internal and Preventive Medicine», Novosibirsk, Russian Federation.
authors.forename: Sofja
authors.initials: S
authors.lastname: Malyutina
authors.affiliation: Federal State Budgetary of Scientific Institution «Institution of Internal and Preventive Medicine», Novosibirsk, Russian Federation.
authors.forename: Ylija
authors.initials: Y
authors.lastname: Ragino
authors.affiliation: Federal State Budgetary of Scientific Institution «Institution of Internal and Preventive Medicine», Novosibirsk, Russian Federation.
authors.forename: Lilija
authors.initials: L
authors.lastname: Scherbakova
authors.affiliation: Faculty of Medicine, University of Latvia, Riga, Latvia.
authors.forename: Marcis
authors.initials: M
authors.lastname: Leja
authors.affiliation: Department of Clinical Research, Biohit Oyj, Helsinki, Finland.
authors.forename: Lea
authors.initials: L
authors.lastname: Paloheimo
authors.affiliation: Department of Clinical Research, Biohit Oyj, Helsinki, Finland kari.syrjanen@biohit.fi.
authors.forename: Kari
authors.initials: K
authors.lastname: Syrjänen
authors.affiliation: Federal State Budgetary of Scientific Institution «Institution of Internal and Preventive Medicine», Novosibirsk, Russian Federation.
authors.forename: Mikhail
authors.initials: M
authors.lastname: Voevoda
mesh_terms: D015415:Biomarkers / Q000032:analysis / Q000097:blood*; D016022:Case-Control Studies; D015331:Cohort Studies; D005260:Female; D006801:Humans; D008137:Longitudinal Studies; D008297:Male; D008875:Middle Aged; D011446:Prospective Studies; D012800:Siberia; D013274:Stomach Neoplasms / Q000097:blood* / Q000473:pathology; D044465:White People
chemical_list: D015415:Biomarkers
keywords: Caucasian race; Gastric cancer; GastroPanel; H. pylori antibody; gastrin-17; longitudinal study; pepsinogen I and II; risk prediction; serum biomarkers