Svetlana Kurilovich1, Anna Belkovets2, Oleg Reshetnikov2, Tatyana Openko2, Sofja Malyutina2, Ylija Ragino2, Lilija Scherbakova2, Marcis Leja3, Lea Paloheimo4, Kari Syrjänen5, Mikhail Voevoda2. 1. Federal State Budgetary of Scientific Institution «Institution of Internal and Preventive Medicine», Novosibirsk, Russian Federation Novosibirsk State Medical University, Novosibirsk, Russian Federation. 2. Federal State Budgetary of Scientific Institution «Institution of Internal and Preventive Medicine», Novosibirsk, Russian Federation. 3. Faculty of Medicine, University of Latvia, Riga, Latvia. 4. Department of Clinical Research, Biohit Oyj, Helsinki, Finland. 5. Department of Clinical Research, Biohit Oyj, Helsinki, Finland kari.syrjanen@biohit.fi.
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. Copyright
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. Copyright
Authors: M Song; M C Camargo; S J Weinstein; G Murphy; N D Freedman; J Koshiol; R Z Stolzenberg-Solomon; C C Abnet; S Männistö; D Albanes; C S Rabkin Journal: Aliment Pharmacol Ther Date: 2017-12-15 Impact factor: 8.171
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