Open Access

Value of GastroPanel in the diagnosis of atrophic gastritis

  • Authors:
    • Cosmin Grad
    • Andrei Pop
    • Emil Gaborean
    • Simona Grad
    • Dan Dumitrascu
  • View Affiliations

  • Published online on: September 22, 2021     https://doi.org/10.3892/etm.2021.10782
  • Article Number: 1347
  • Copyright: © Grad et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )


Abstract

Analysis of serum biomarkers for the assessment of atrophic gastritis (AG), considered as precursor of the intestinal type of gastric cancer, is of growing interest. The combination of pepsinogen (PG), gastrin‑17 (G17) and anti‑Helicobacter pylori (H. pylori) antibody serological assays (panel test) is a non‑invasive tool for the diagnosis of atrophic gastritis. However, the diagnostic reliability of this test remains uncertain. The aim of our study was to assess the diagnostic performance of the serum panel test (GastroPanel) for the diagnosis of atrophic gastritis. From dyspeptic patients, endoscopic biopsy samples (two from the gastric corpus and two from the antrum) and blood samples were collected. The determination of sPGI, sPGII, sG17 and IgG antibodies to H. pylori (H.p IgG) was performed using an enzyme‑linked immunosorbent assay (GastroPanel; Biohit Oyj). Histopathology results were compared with GastroPanel values. Sixty patients were included: 35 (58.3%) females and 25 (41.66%) males; mean age 67.63±9.36 years; 45% H. pylori‑positive. A total of 65% of patients had atrophic gastritis. There were no significant differences between the levels of biomarkers and localization of atrophy. The ratio PG1/PG2 was lower in patients with multifocal atrophy; the difference being close to the threshold of statistical significance. In cases of intestinal metaplasia the values of G17, PG1, PG2, H.p IgG were not statistically altered compared to those without intestinal metaplasia; only the ratio PG1/PG2 was lower in intestinal metaplasia; the difference being almost of statistical significance. Our results revealed that, GastroPanel values did not differ depending on the severity of the atrophy. Biomarkers used by GastroPanel do not have enough accuracy for use in the diagnosis of atrophy in the population studied. A low accuracy only for the ratio PG1/PG2 in patients with multifocal atrophy was found. However, our data revealed a correlation in detecting intestinal metaplasia.

Introduction

Atrophic gastritis (AG) is the highest known independent risk factor (risk condition) for distal, noncardial gastric cancer (1-3).

Gastric carcinogenesis is a long and multistep process, known as the ‘Correa's Cascade’. In this model of gastric carcinogenesis, gastric cancer is preceded by gastric precancerous lesions: Atrophic gastritis (AG), intestinal metaplasia (IM), low-grade dysplasia, and high-grade dysplasia, developed successively following chronic infection with Helicobacter pylori (H. pylori) (4,5). Each of these lesions is associated with an increased risk of gastric cancer which correlates with the severity of the lesions, but AG and IM are the most common and the most widely studied (6-9).

For the early detection of gastric cancer and to reduce mortality, international guidelines recommend endoscopic follow-up and gastric biopsies for subjects with atrophic gastritis, even after H. pylori eradication (10,11).

A non-invasive tool able to easily identify individuals with atrophic gastritis, is essential for improving the early diagnosis of gastric cancer. To avoid numerous gastroscopies and increase patient adhesion to surveillance several strategies have been developed. Among them, serological markers are of growing interest to assess the presence of gastric atrophy (12).

Numerous and potential serological biomarkers such as serum pepsinogen 1 and 2 (PG1 and PG2, respectively), gastrin-17 (G17), antiparietal cell antibodies, IgG anti-H. pylori have been used, separately or combined, to predict gastric mucosa status (12).

PG1 is secreted only by oxintic glands of the corpus, PG2 is secreted by pyloric glands and proximal duodenal mucosa and G17 is only secreted by the G cells of the antral mucosa (13). Serum PG1 levels and/or the PG1/PG2 ratio appear to be lower in patients with corpus atrophic gastritis, and low G17 serum level, in combination with positive anti-H. pylori antibodies (H.p Ab), would indicate the presence of antrum atrophic gastritis (13).

Some studies have tested this serologic panel (GastroPanel) for the noninvasive diagnosis of atrophic gastritis and have obtained encouraging results (14-19); however, other studies do not support its usefulness (20-22).

Finally, experience with GastroPanel is limited; no study has been carried out in a Romanian population.

Materials and methods

Patients

This was a prospective study, carried out at a single tertiary center, namely the Second Medical Department and the Endoscopy Laboratory, Emergency Clinical County Hospital (Cluj-Napoca, Romania). Patient recruitment was from July 2017 to August 2018. A total of 60 patients were included in our study: 35 (58.3%) females and 25 (41.66%) males. The mean age of the patients was 67.63±9.36 years (range, 50-87 years). Inclusion criteria were as follows: Patients older than 50 years, with dyspepsia. After fulfilling this inclusion criteria, upper gastrointestinal endoscopy was performed.

Exclusion criteria were as follows: Hepatic, lung, renal, endocrine, metabolic, hematological or malignant diseases; history of chemotherapy or gastric surgery, history of H. pylori eradication; history of alcohol or drug abuse; pregnancy. A demographic questionnaire was completed including socio-demographic data and medical history. The Ethics Committee of Emergency Clinical County Hospital approved the study following European and local regulations. All admitted patients signed an informed consent.

Investigations

Upper gastrointestinal endoscopy was performed by gastroenterologists to all patients and biopsies were obtained (two from the gastric corpus and two from the antrum). Pathological examinations of biopsy samples were conducted by one single expert pathologist and the results were reported according to the updated Sydney system (23). Blood samples were obtained from all patients after 10 h of fasting. Two weeks before blood extraction, patients had ceased receiving proton pump inhibitors (PPIs). EDTA tubes were centrifuged at 2,000 x g, for 10-15 min, at 20-25˚C. Blood was stored at -20˚C until the assay was performed.

The determination of sPGI, sPGII, sG17 and IgG antibody to H. pylori (H.p IgG) was performed using an enzyme-linked immunosorbent assay (ELISA) (cat. no. 601 020.02 for PGII; cat. no. 601 035 for G17; cat. no. 601 010.01 for PGI; cat. no. 601 040.02 for H.p IgG; GastroPanel ELISA; Biohit Oyj). Recommended cut-off points for GastroPanel were (as reported by the manufacturer): sPGI: 30-120 mg/l, sPGII: 2-10 mg/l, sG17: 2-10 pmol/l and H.p IgG titre: -30 EIU. Accordingly, a value of 30 mg/l for sPGI was assumed as a biomarker of atrophic corpus gastritis, and a value of 2 pmol/l for sG17 was assumed to be a biomarker of antral atrophic gastritis, in the absence of hyperchlorhydria (22). All tests were performed at the centralized laboratory Bioclinica, Cluj Napoca, Romania. According to the pathological examination, subjects were classified into four groups: non-atrophic gastritis, corpus atrophy, antral atrophy, multifocal atrophy. Histopathology results were compared with GastroPanel values.

Statistical analysis

The distribution of parameters was evaluated using Kurtosis and Skewness. The normal distributed data were expressed as the mean ± standard deviation, and abnormal distributed data were expressed as median and 25 and 75th percentiles. Comparison between groups was performed using the Mann-Whitney U-test and Wilcoxon W-test for continuous and discrete variables, respectively. The comparisons between histologic features and sPGI, sPGII and sG17 were performed using Kruskal-Wallis test. P<0.05 was considered to indicate a statistically significant difference.

Receiver operating characteristic (ROC) curves were used to calculate the overall diagnostic performance of G17, PG1, PG2, and the PG1/PG2 ratio for the diagnosis of gastric atrophy. If the area under the ROC curve (AUC) was acceptable (0.70), the optimal cut-off points were assessed, and then sensitivity analysis was calculated. The accuracy of the algorithm of GastroPanel was assessed against histology (gold standard); sensitivity, specificity, and positive and negative predictive values were also calculated.

Results

A total of 60 patients were included in our study; 35 (58.3%) females and 25 (41.66%) males. (Table I). There were no significant differences between biomarker values depending on sex: G17 (P=0.969), PG1 (P=0.708), PG2 (P=0.263) or PG1/PG2 (P=0.472) (Table II).

Table I

Levels of biomarkers depending on sex.

Table I

Levels of biomarkers depending on sex.

BiomarkersSexMedian (IQ: 25-75%)
PG1M84.8 (36.15-136)
 F64.3 (44.6-111.4)
PG2M9.4 (3.6-18.25)
 F8.4 (1.6-10.7)
PG1/PG2M8.3 (5.49-14.1)
 F9.7 (6.1-28.1)
G17M5.5 (1-26.45)
 F5.3 (1-28.9)
Ac. H.p IgGM61.8 (18.1-96.65)
 F42.7 (15-85.5)

[i] IQ: 25-75%, interquartile range between 25 and 75th percentiles; PG1, pepsinogen 1; PG2, pepsinogen 2; G17, gastrin-17; Ac. H.p IgG, anti-Helicobacter pylori immunoglobulin G antibodies.

Table II

Statistical analysis of biomarkers depending on sex.

Table II

Statistical analysis of biomarkers depending on sex.

Statistical variablesG17PG1PG2PG1/PG2
Mann-Whitney U435.000412.500363.000389.500
Wilcoxon W1065.0001042.500993.000714.500
Z-0.039-0.375-1.120-0.720
Asymp. Sig. (two-tailed)0.9690.7080.2630.472

The mean age of patients was 67.63±9.36 years (range, 50-87 years), with 32 (51.61%) patients between 50 and 59 years, 13 (20.96%) patients between 60 and 69 years, and 15 (24.19%) patients older than 70 years (Table III).

Table III

Levels of biomarkers depending on age groups.

Table III

Levels of biomarkers depending on age groups.

 GastroPanel
BiomarkersAgeMedian (IQ: 25-75%)
PG150-5964.25 (42.95-107.17)
 60-69110.9 (43.2-150.9)
 >7054.4 (31.5-137.2)
PG250-598.05 (1.27-12.1)
 60-699.4 (7.25-18.65)
 >708 (0.9-28.1)
PG1/PG250-599.85 (6.17-32.82)
 60-698.8 (4.4-12.5)
 >708.3 (4.5-35)
G1750-591 (1-14.75)
 60-696.7 (1.5-66.25)
 >7010.3 (1-32.8)
Ac. H.p IgG50-5941.05 (16.08-87.68)
 60-6981.3 (12.05-99)
 >7057.1 (29.7-87.2)

[i] IQ: 25-75%, interquartile range between 25 and 75th percentiles; PG1, pepsinogen 1; PG2, pepsinogen 2; G17, gastrin-17; Ac. H.p IgG, anti-Helicobacter pylori immunoglobulin G antibodies.

There were no significant differences between biomarker values and age groups: G17 (P=0.121), PG1 (P=0.533), PG2 (P=0.259), PG1/PG2 (P=0.578) and ac H.p IgG (P=0.635) (Table IV).

Table IV

Statistical analysis of biomarkers depending on age groups.

Table IV

Statistical analysis of biomarkers depending on age groups.

Statistical variablesG17PGIPG2PG1/PG2Ac. H.p IgG
Chi-square4.2251.2602.7011.0980.907
Df22222
Asymp. Sig.0.1210.5330.2590.5780.635

[i] Kruskal Wallis Test was used. G17, gastrin-17; PG1, pepsinogen 1; PG2, pepsinogen; Ac. H.p IgG, anti-Helicobacter pylori immunoglobulin G antibodies.

There were no significant differences between levels of biomarkers and localization of atrophy: G17 (P=0.599), PG1 (P=0.270), PG2 (P=0.813), PG1/PG2 (P=0.175) and ac H.p IgG (P=0.782) (Tables V and VI).

Table V

Levels of biomarkers depending on localization of atrophy.

Table V

Levels of biomarkers depending on localization of atrophy.

 Corpus atrophyAntral atrophyMultifocal atrophy
BiomarkersPresence of atrophyCut-off valueMedian (IQ: 25-75%)Median (IQ: 25-75%)Median (IQ: 25-75%)
PG1No30-12065.25 (44.05-113.45)77.2 (42.2-126.75)64.25 (44.75-126.75)
 Yes 58.6 (33.15-222.75)58.7 (43.05-110.65)69.6 (34.55-106.8)
PG2No2-108.3 (1.75-15.45)8.55 (5.97-16.4)7.85 (1.75-11.85)
 Yes 9.2 (4.05-14.85)7.3 (0.95-12.4)11.5 (1.8-16.6)
PG1/PG2NoN/A9.25 (6.02-17.02)9.25 (5.64-15.05)10.25 (6.8-29.67)
 Yes 8.3 (5.85-34.23)8.8 (6.65-35.55)6.28 (3.11-10.4)
G17No2-103.25 (1-29.55)5.3 (1-21.9)3.85 (1-29.55)
 Yes 15.8 (3.2-37.55)1 (1-52.75)5.5 (1-20.1)
Ac. H.p IgGNo3048 (15.52-93.18)61 (18.18-93.18)37.75 (15.52-86.23)
 Yes 61.2 (22.85-86.95)34.9 (16.1-84.65)82.4 (42.45-97.25)

[i] IQ: 25-75%, interquartile range between 25 and 75th percentiles; PG1, pepsinogen 1; PG2, pepsinogen 2; G17, gastrin-17; Ac. H.p IgG, anti-Helicobacter pylori immunoglobulin G antibodies.

Table VI

Statistical analysis of biomarkers depending on atrophy.

Table VI

Statistical analysis of biomarkers depending on atrophy.

Statistical variablesG17PGIPG2PG1/PG2Ac. H.p IgG
Chi-Square1.0242.6150.4133.4830.491
Df22222
Asymp. Sig.0.5990.2700.8130.1750.782

[i] G17, gastrin-17; PG1, pepsinogen 1; PG2, pepsinogen 2; Ac. H.p IgG, anti-Helicobacter pylori immunoglobulin G antibodies.

GastroPanel values were not significantly altered in patients with antral atrophy or corpus atrophy compared to those without atrophy (Tables VII and VIII).

Table VII

Statistical analysis of biomarkers depending on antral atrophy.

Table VII

Statistical analysis of biomarkers depending on antral atrophy.

Statistical variablesG17PGIPG2PG1/PG2Ac. H.p IgG
Mann-Whitney U392.500346.000324.500363.000351.000
Wilcoxon W1133.500577.000555.5001104.000582.000
Z-0.108-0.839-1.182-0.570-0.760
Asymp. Sig. (two-tailed)0.9140.4010.2370.5690.447

[i] G17, gastrin-17; PG1, pepsinogen 1; PG2, pepsinogen 2; Ac. H.p IgG, anti-Helicobacter pylori immunoglobulin G antibodies.

Table VIII

Statistical analysis of biomarkers depending on corpus atrophy.

Table VIII

Statistical analysis of biomarkers depending on corpus atrophy.

Statistical variablesG17PGIPG2PG1/PG2Ac. H.p IgG
Mann-Whitney U87.000130.000126.500125.500124.500
Wilcoxon W1572.0001615.0001611.5001610.5001609.500
Z-1.366-0.136-0.232-0.259-0.286
Asymp. Sig. (two-tailed)0.1720.8920.8170.7960.775
Exact Sig. [2*(1-tailed Sig.)]0.2030.9060.8230.8020.782

[i] G17, gastrin-17; PG1, pepsinogen 1; PG2, pepsinogen 2; Ac. H.p IgG, anti-Helicobacter pylori immunoglobulin G antibodies.

In addition, in cases of multifocal atrophy the values of G17, PG1, PG2, H.p IgG were not statistically altered compared to those without atrophy: G17 (P=0.894), PG1 (P=0.370), PG2 (P=0.415), PG1/PG2 (P=0.060) and ac H.p IgG (P=0.139). However, the ratio PG1/PG2 was lower in patients with multifocal atrophy; the difference being close to the threshold of statistical significance 6,2 (3,1; 10,4) vs. 10,2 (6,8; 29,6) P=0.060 (Table IX).

Table IX

Statistical analysis of biomarkers depending on multifocal atrophy.

Table IX

Statistical analysis of biomarkers depending on multifocal atrophy.

Statistical variablesG17PG1PG2PG1/PG2Ac. H.p IgG
Mann-Whitney U292.000250.000254.500196.000218.000
Wilcoxon W383.000341.0001335.500287.0001299.000
Z-0.134-0.896-0.816-1.884-1.481
Asymp. Sig. (two-tailed)0.8940.3700.4150.0600.139

[i] G17, gastrin-17; PG1, pepsinogen 1; PG2, pepsinogen 2; Ac. H.p IgG, anti-Helicobacter pylori immunoglobulin G antibodies.

A cut-off value for PG1/PG2 of <6.59 was calculated to differentiate multifocal atrophy patients from the other patients [AUC 0.672; Se 61.5% (95% CI 31.6-86.1), Sp 76% (95% CI 61.2-87.4); P=0.04] (Table IX and Fig. 1).

Furthermore in cases of intestinal metaplasia the values of G17, PG1, PG2, H.p IgG were not statistically altered compared to those without intestinal metaplasia: G17 (P=0.791), PG1 (P=0.532), PG2 (P=0.962), PG1/PG2 (P=0.083) an ac H.p IgG (P=0.806); only the ratio PG1/PG2 was lower in intestinal metaplasia; the difference being almost statistically significant [7,4 (4,4; 12,4) vs. 11 (6,4; 29,6); P=0.083] (Tables X and XI).

Table X

Levels of biomarkers depending on intestinal metaplasia.

Table X

Levels of biomarkers depending on intestinal metaplasia.

BiomarkersPresence of intestinal metaplasiaCut-off valueIntestinal metaplasia median (IQ: 25-75%)
PG1No30-12065.25 (44.87-120.02)
 Yes 58.6 (32.75-128.1)
PG2No2-108.45 (1.7-14.62)
 Yes 7.7 (3.3-16.1)
PG1/PG2NoN/A11 (6.47-29.67)
 Yes 7.4 (4.44-12.4)
G17No2-105.3 (1-21.9)
 Yes 2 (1-56)
Ac. H.p IgGNo3041.05 (14.68-93.18)
 Yes 57.1 (18.85-83.95)

[i] IQ: 25-75%, interquartile range between 25 and 75th percentiles; PG1, pepsinogen 1; PG2, pepsinogen 2; G17, gastrin-17; Ac. H.p IgG, anti-Helicobacter pylori immunoglobulin G antibodies.

Table XI

Statistical analysis of biomarkers depending on intestinal metaplasia.

Table XI

Statistical analysis of biomarkers depending on intestinal metaplasia.

Statistical variablesG17PG1PG2PG1/PG2Ac. H.p IgG
Mann-Whitney U383.000359.500396.000289.500383.500
Wilcoxon W1124.000590.5001137.000520.5001124.500
Z-0.265-0.626-0.048-1.734-0.245
Asymp. Sig. (two-tailed)0.7910.5320.9620.0830.806

[i] Grouping variable, intestinal metaplasia. G17, gastrin-17; PG1, pepsinogen 1; PG2, pepsinogen 2; Ac. H.p IgG, anti-Helicobacter pylori immunoglobulin G antibodies.

A cut-off value for PG1/PG2 of <8.8 was calculated to differentiate intestinal metaplasia patients from the other patients [AUC 0.637; Se 66.6% (95% CI 43.0-85.4), Sp 60.5% (95% CI 43.4-76.0); P=0.07] (Table XI and Fig. 2).

Patients included in the study were divided into 2 groups: patients without gastric atrophy (n=21) 35%; and patients with gastric atrophy (n=39) 65%. Those with atrophy (n=39) were divided into 2 subgroups with mild atrophy (n=26) and moderate atrophy (n=13). No patients with severe atrophy were found. In the non-atrophic group there were patients with spotty gastritis and erosive gastritis. H. pylori infection was found in 45% of patients (n=27).

GastroPanel values did not differ depending on the severity of the atrophy: G17 (P=0.599), PG1 (P=0.270), PG2 (P=0.813), PG1/PG2 (P=0.175) and ac H.p IgG (P=0.782) (Tables VI and XII).

Table XII

Levels of biomarkers depending on histological grading (severity of atrophy).

Table XII

Levels of biomarkers depending on histological grading (severity of atrophy).

Histological gradingnPG1 median (IQ: 25-75%)PG2 median (IQ: 25-75%)PG1/PG2 median (IQ: 25-75%)G17 median (IQ: 25-75%)Ac. H.p IgG median (IQ: 25-75%)
No activity21100.6 (44.85-136)8.4 (6.4-16.5)11.5 (5.85-15.1)2 (1-23.9)39.4 (13.55-90.90)
Mild2658.85 (37-113.45)7.75 (1.32-16.55)9.35 (5.98-34.42)7.1 (1-37.52)56.8 (18.68-87.5)
Moderate1355.2 (21.5-107.05)8.8 (2.9-14.65)6.59 (3.27-8.5)1 (1-34.2)60.8 (17.95-96.65)

[i] IQ: 25-75%, interquartile range between 25 and 75th percentiles; PG1, pepsinogen 1; PG2, pepsinogen 2; G17, gastrin-17; Ac. H.p IgG, anti-Helicobacter pylori immunoglobulin G antibodies.

Discussion

Several authors have suggested a non-invasive test defined as a ‘serological biopsy’, aimed at providing a gastric function serum profile, especially of gastric atrophy (17,19,24,25).

The results of a recent meta-analysis suggest that the combination of pepsinogen, G17 and anti-H. pylori antibody serum assays is a reliable tool for the diagnosis of the presence and site of atrophic gastritis (26).

Thus, GastroPanel could be a useful noninvasive method to reduce unnecessary gastroscopies. The results of our study did not support this theory.

In our study it was demonstrated that GastroPanel values (biomarkers G17, PG1, PG2) were not significantly altered in patients with antral atrophy or corpus atrophy compared to those without atrophy. The measurement of G17 and PG2 for the diagnosis of antral atrophy had an unacceptably low accuracy.

In addition, in cases of multifocal atrophy the values of G17, PG1, PG2, H.p IgG were not statistically altered compared to those without atrophy: However, the ratio PG1/PG2 was lower in patients with multifocal atrophy; the difference being close to the threshold of statistical significance.

In the cases of multifocal atrophy, a sensitivity of 61.5% and specificity of 76% were determined (P=0.04).

In this regard, our results are supported by another study, which found discouraging results. The study revealed that PG1 differences between patients with or without corpus atrophy were not significant (112 vs. 117 µg/l), and no statistically significant differences for PG1/PG2 for the localization of the atrophy were reported; but, compared to our results, they found that the mean levels of G17 were significantly reduced in patients with atrophy in the antrum (5 vs. 13 pmol/l; P<0.01) (27).

The ratio PG1/PG2 (in our study) was lower in patients with intestinal metaplasia; the difference being almost statistically significant (P=0.083) with a sensitivity of 66.6% and a specificity of 60.5% (P=0.07).

According to our findings, PG and G17 were not valid enough to differentiate between patients with or without atrophic gastritis. Nasrollahzadeh et al similarly reported a relatively low validity for PG and G17 to distinguish non-atrophic gastritis (28).

The suboptimal accuracy of GastroPanel (and the individual biomarkers) may be negatively affected by some other variables, but these unknown altering variables (such as a possible spotty gastritis with ‘normal function’) arise from real clinical practice experience.

The main limitation of the present study is that we did not find patients with severe atrophy in the study population. This theory is supported by a group of French researchers who claim that GastroPanel has an insufficient diagnostic performance in case of mild gastric atrophy. However, it can be useful in selected groups of patients at high risk for gastric cancer, in particular to detect severe atrophy and corpus atrophy (29).

In conclusion, our study indicated that biomarkers used by GastroPanel do not have enough accuracy for use in the diagnosis of atrophy in the population studied.

An association was only revealed for the ratio PG1/PG2 which was lower in patients with multifocal atrophy. However, our present data exhibited low accuracy in detecting intestinal metaplasia.

These results suggest that the serological approach may not be the best method to screen for gastric mild atrophy or gastric cancer in people from low prevalence areas, such as Romania.

The present results are contrary to expectations and contrary to some authors who claim that GastroPanel is ‘even more reliable than a histology biopsy’ (30).

Acknowledgements

Not applicable.

Funding

Funding: No funding was received.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Authors' contributions

CG, EG and AP performed the literature search for relevant publications on the topic. CG and SG performed endoscopies with biopsy. CG and SG collected the data. EG and AP analyzed the data. CG and SG were responsible for original draft preparation. DD conceived this study, surveyed its progress and contributed to the writing. All the authors read, verified and approved the final version of the manuscript.

Ethics approval and consent to participate

The Ethics Committee of Emergency Clinical Hospital Cluj County approved the study following European and local regulations. Emergency Clinical Hospital Cluj County is a University hospital and all admitted patients signed an informed consent by which they agree that their data are available for academic and scientific purposes.

Patient consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

References

1 

Sipponen P, Kekki M, Haapakoski J, Ihamäki T and Siurala M: Gastric cancer risk in chronic atrophic gastritis: Statistical calculations of cross-sectional data. Int J Cancer. 35:173–177. 1985.PubMed/NCBI View Article : Google Scholar

2 

Ohata H, Kitauchi S, Yoshimura N, Mugitani K, Iwane M, Nakamura H, Yoshikawa A, Yanaoka K, Arii K, Tamai H, et al: Progression of chronic atrophic gastritis associated with Helicobacter pylori infection increases risk of gastric cancer. Int J Cancer. 109:138–143. 2004.PubMed/NCBI View Article : Google Scholar

3 

Varis K, Sipponen P, Laxén F, Samloff IM, Huttunen JK, Taylor PR, Heinonen OP, Albanes D, Sande N, Virtamo J and Härkönen M: Implications of serum pepsinogen I in early endoscopic diagnosis of gastric cancer and dysplasia. Helsinki Gastritis Study Group. Scand J Gastroenterol. 35:950–956. 2000.PubMed/NCBI View Article : Google Scholar

4 

Correa P: A human model of gastric carcinogenesis. Cancer Res. 48:3554–3560. 1988.PubMed/NCBI

5 

de Vries AC, van Grieken NC, Looman CW, Casparie MK, de Vries E, Meijer GA and Kuipers EJ: Gastric cancer risk in patients with premalignant gastric lesions: A nationwide cohort study in the Netherlands. Gastroenterology. 134:945–952. 2008.PubMed/NCBI View Article : Google Scholar

6 

Song H, Ekheden IG, Zheng Z, Ericsson J, Nyrén O and Ye W: Incidence of gastric cancer among patients with gastric precancerous lesions: Observational cohort study in a low risk western population. BMJ. 351(h3867)2015.PubMed/NCBI View Article : Google Scholar

7 

Chapelle N, Péron M, Mosnier JF, Quénéhervé L, Coron E, Bourget A, Cauchin E, Touchefeu Y and Matysiak-Budnik T: Prevalence, characteristics and endoscopic management of gastric premalignant lesions in France. Dig Dis. 38:286–292. 2020.PubMed/NCBI View Article : Google Scholar

8 

den Hoed CM, Holster IL, Capelle LG, de Vries AC, den Hartog B, Ter Borg F, Biermann K and Kuipers EJ: Follow-up of premalignant lesions in patients at risk for progression to gastric cancer. Endoscopy. 45:249–256. 2013.PubMed/NCBI View Article : Google Scholar

9 

den Hollander WJ, Holster IL, den Hoed CM, Capelle LG, Tang TJ, Anten MP, Prytz-Berset I, Witteman EM, Ter Borg F, Hartog GD, et al: Surveillance of premalignant gastric lesions: A multicentre prospective cohort study from low incidence regions. Gut. 68:585–593. 2019.PubMed/NCBI View Article : Google Scholar

10 

Dinis-Ribeiro M, Areia M, de Vries AC, Marcos-Pinto R, Monteiro-Soares M, O'Connor A, Pereira C, Pimentel-Nunes P, Correia R, Ensari A, et al: Management of precancerous conditions and lesions in the stomach (MAPS): Guideline from the European society of gastrointestinal endoscopy (ESGE), European helicobacter study group (EHSG), European society of pathology (ESP), and the sociedade portuguesa de endoscopia digestiva (SPED). Endoscopy. 44:74–94. 2012.PubMed/NCBI View Article : Google Scholar

11 

Malfertheiner P, Megraud F, O'Morain CA, Gisbert JP, Kuipers EJ, Axon AT, Bazzoli F, Gasbarrini A, Atherton J, Graham DY, et al: Management of Helicobacter pylori infection the maastricht V/florence consensus report. Gut. 66:6–30. 2017.PubMed/NCBI View Article : Google Scholar

12 

di Mario F and Cavallaro LG: Non-invasive tests in gastric diseases. Dig Liver Dis. 40:523–530. 2008.PubMed/NCBI View Article : Google Scholar

13 

Agréus L, Kuipers EJ, Kupcinskas L, Malfertheiner P, Di Mario F, Leja M, Mahachai V, Yaron N, van Oijen M, Perez Perez G, et al: Rationale in diagnosis and screening of atrophic gastritis with stomach-specific plasma biomarkers. Scand J Gastroenterol. 47:136–147. 2012.PubMed/NCBI View Article : Google Scholar

14 

Di Mario F, Moussa AM, Caruana P, Merli R, Cavallaro LG, Cavestro GM, Dal Bò N, Iori V, Pilotto A, Leandro G, et al: ‘Serological biopsy’ in first-degree relatives of patients with gastric cancer affected by Helicobacter pylori infection. Scand J Gastroenterol. 38:1223–1227. 2003.PubMed/NCBI View Article : Google Scholar

15 

Germaná B, Di Mario F, Cavallaro LG, Moussa AM, Lecis P, Liatoupolou S, Comparato G, Carloni C, Bertiato G, Battiestel M, et al: Clinical usefulness of serum pepsinogens I and II, gastrin-17 and anti-Helicobacter pylori antibodies in the management of dyspeptic patients in primary care. Dig Liver Dis. 37:501–508. 2005.PubMed/NCBI View Article : Google Scholar

16 

Graham DY, Nurgalieva ZZ, El-Zimaity HM, Opekun AR, Campos A, Guerrero L, Chavez A and Cardenas V: Noninvasive versus histologic detection of gastric atrophy in a Hispanic population in North America. Clin Gastroenterol Hepatol. 4:306–314. 2006.PubMed/NCBI View Article : Google Scholar

17 

Hartleb M, Wandzel P, Waluga M, Matyszczyk B, Bołdys H and Romañczyk T: Non-endoscopic diagnosis of multifocal atrophic gastritis; efficacy of serum gastrin-17, pepsinogens and Helicobacter pylori antibodies. Acta Gastroenterol Belg. 67:320–326. 2004.PubMed/NCBI

18 

Nardone G, Rocco A, Staibano S, Mezza E, Autiero G, Compare D, De Rosa G and Budillon G: Diagnostic accuracy of the serum profile of gastric mucosa in relation to histological and morphometric diagnosis of atrophy. Aliment Pharmacol Ther. 22:1139–1146. 2005.PubMed/NCBI View Article : Google Scholar

19 

Väänänen H, Vauhkonen M, Helske T, Kääriäinen I, Rasmussen M, Tunturi-Hihnala H, Koskenpato J, Sotka M, Turunen M, Sandström R, et al: Non-endoscopic diagnosis of atrophic gastritis with a blood test. Correlation between gastric histology and serum levels of gastrin-17 and pepsinogen I: A multicentre study. Eur J Gastroenterol Hepatol. 15:885–891. 2003.PubMed/NCBI View Article : Google Scholar

20 

Masci E, Pellicano R, Mangiavillano B, Luigiano C, Stelitano L, Morace C, Viale E, Freschi M, Locatelli M, Ieri R, et al: GastroPanel® test for non-invasive diagnosis of atrophic gastritis in patients with dyspepsia. Minerva Gastroenterol Dietol. 60:79–83. 2014.PubMed/NCBI

21 

Peitz U, Wex T, Vieth M, Stolte M, Willich S, Labenz J, Jaspersen D, Lind T and Malfertheiner P: Correlation of serum pepsinogens and gastrin-17 with atrophic gastritis in gastroesophageal reflux patients: A matched-pairs study. J Gastroenterol Hepatol. 26:82–89. 2011.PubMed/NCBI View Article : Google Scholar

22 

Koivusalo AI, Pakarinen MP and Kolho KL: Is GastroPanel serum assay useful in the diagnosis of Helicobacter pylori infection and associated gastritis in children? Diagn Microbiol Infect Dis. 57:35–38. 2007.PubMed/NCBI View Article : Google Scholar

23 

Dixon MF, Genta RM, Yardley JH and Correa P: Classification and grading of gastritis. The updated sydney system. International workshop on the histopathology of gastritis, Houston 1994. Am J Surg Pathol. 20:1161–1181. 1996.PubMed/NCBI View Article : Google Scholar

24 

Bodger KI, Wyatt JI and Heatley R: Variation in serum pepsinogens with severity and topography of Helicobacter pylori-associated chronic gastritis in dyspeptic patients referred for endoscopy. Helicobacter. 6:216–224. 2001.PubMed/NCBI View Article : Google Scholar

25 

Urita Y, Hike K, Torii N, Kikuchi Y, Kanda E, Sasajima M and Miki K: Serum pepsinogens as a predicator of the topography of intestinal metaplasia in patients with atrophic gastritis. Dig Dis Sci. 49:795–801. 2004.PubMed/NCBI View Article : Google Scholar

26 

Zagari RM, Rabitti S, Greenwood DC, Eusebi LH, Vestito A and Bazzoli F: Systematic review with meta-analysis: Diagnostic performance of the combination of pepsinogen, gastrin-17 and anti-Helicobacter pylori antibodies serum assays for the diagnosis of atrophic gastritis. Aliment Pharmacol Ther. 46:657–667. 2017.PubMed/NCBI View Article : Google Scholar

27 

McNicholl AG, Forné M, Barrio J, De la Coba C, González B, Rivera R, Esteve M, Fernandez-Bañares F, Madrigal B, Gras-Miralles B, et al: Accuracy of GastroPanel for the diagnosis of atrophic gastritis. Eur J Gastroenterol Hepatol. 26:941–948. 2014.PubMed/NCBI View Article : Google Scholar

28 

Nasrollahzadeh D, Aghcheli K, Sotoudeh M, Shakeri R, Persson EC, Islami F, Kamangar F, Abnet CC, Boffetta P, Engstrand L, et al: Accuracy and cut-off values of pepsinogens I, II and gastrin 17 for diagnosis of gastric fundic atrophy: Influence of gastritis. PLoS One. 6(26957)2011.PubMed/NCBI View Article : Google Scholar

29 

Chapelle N, Petryszyn P, Blin J, Leroy M, Le Berre-Scoul C, Jirka I, Neunlist M, Moussata D, Lamarque D, Olivier R, et al: A panel of stomach-specific biomarkers (GastroPanel®) for the diagnosis of atrophic gastritis: A prospective, multicenter study in a low gastric cancer incidence area. Helicobacter. 25(e12727)2020.PubMed/NCBI View Article : Google Scholar

30 

Storskrubb T, Aro P, Ronkainen J, Sipponen P, Nyhlin H, Talley NJ, Engstrand L, Stolte M, Vieth M, Walker M and Agréus L: Serum biomarkers provide an accurate method for diagnosis of atrophic gastritis in a general population: The Kalixanda study. Scand J Gastroenterol. 43:1448–1455. 2008.PubMed/NCBI View Article : Google Scholar

Related Articles

Journal Cover

November-2021
Volume 22 Issue 5

Print ISSN: 1792-0981
Online ISSN:1792-1015

Sign up for eToc alerts

Recommend to Library

Copy and paste a formatted citation
x
Spandidos Publications style
Grad C, Pop A, Gaborean E, Grad S and Dumitrascu D: Value of GastroPanel in the diagnosis of atrophic gastritis. Exp Ther Med 22: 1347, 2021
APA
Grad, C., Pop, A., Gaborean, E., Grad, S., & Dumitrascu, D. (2021). Value of GastroPanel in the diagnosis of atrophic gastritis. Experimental and Therapeutic Medicine, 22, 1347. https://doi.org/10.3892/etm.2021.10782
MLA
Grad, C., Pop, A., Gaborean, E., Grad, S., Dumitrascu, D."Value of GastroPanel in the diagnosis of atrophic gastritis". Experimental and Therapeutic Medicine 22.5 (2021): 1347.
Chicago
Grad, C., Pop, A., Gaborean, E., Grad, S., Dumitrascu, D."Value of GastroPanel in the diagnosis of atrophic gastritis". Experimental and Therapeutic Medicine 22, no. 5 (2021): 1347. https://doi.org/10.3892/etm.2021.10782