Stomach-specific Biomarkers (GastroPanel) Can Predict the Development of Gastric Cancer in a Caucasian Population: A Longitudinal Nested Case-Control Study in Siberia.

Abstract:

BACKGROUND/AIM: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. PATIENTS AND 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). CONCLUSION: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.

journal_name

Anticancer Res

journal_title

Anticancer research

authors

Kurilovich S,Belkovets A,Reshetnikov O,Openko T,Malyutina S,Ragino Y,Scherbakova L,Leja M,Paloheimo L,Syrjänen K,Voevoda M

subject

Has Abstract

pub_date

2016-01-01 00:00:00

pages

247-53

issue

1

eissn

0250-7005

issn

1791-7530

pii

36/1/247

journal_volume

36

pub_type

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