Observational Study Open Access
Copyright ©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastrointest Endosc. Aug 16, 2024; 16(8): 462-471
Published online Aug 16, 2024. doi: 10.4253/wjge.v16.i8.462
Effectiveness of serological markers of gastric mucosal atrophy in the gastric precancer screening and in cancer prevention
Sergey M Kotelevets, Department of Therapy, North Caucasus State Academy, Cherkessk 369000, Karachay-Cherkess Republic, Russia
Sergey A Chekh, Department of Mathematics, North Caucasus State Academy, Cherkessk 369000, Karachay-Cherkess Republic, Russia
Sergey Z Chukov, Department of Pathological Anatomy, Stavropol State Medical University, Stavropol 355017, Russia
ORCID number: Sergey M Kotelevets (0000-0003-4915-6869); Sergey A Chekh (0000-0003-2586-3542); Sergey Z Chukov (0000-0001-6074-4229).
Author contributions: Kotelevets SM and Chekh SA designed the study; Kotelevets SM performed the research, and wrote the paper; Chekh SA performed the statistical processing; Chukov SZ performed the histological research and biopsy assessment; Chekh SA and Chukov SZ revised the manuscript for final submission.
Institutional review board statement: The Institutional Review Board provided approval for this study (IRB No. 20/23, 2023 October 16).
Informed consent statement: All patients provided informed written consent.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Data sharing statement: No additional data are available.
STROBE statement: The authors have read the STROBE Statement-checklist of items, and the manuscript was prepared and revised according to the STROBE Statement-checklist of items.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Sergey M Kotelevets, MD, Associate Professor, Department of Therapy, North Caucasus State Academy, Lenina Street, 75/32, Cherkessk 369000, Karachay-Cherkess Republic, Russia. smkotelevets@mail.ru
Received: March 13, 2024
Revised: June 30, 2024
Accepted: July 25, 2024
Published online: August 16, 2024
Processing time: 141 Days and 10.4 Hours

Abstract
BACKGROUND

New markers are needed to improve the effectiveness of serological screening for atrophic gastritis.

AIM

To develop a cost-effective method for serological screening of atrophic gastritis with a high level of sensitivity.

METHODS

Of the 169 patients with atrophic gastritis, selected by the visual endoscopic Kimura-Takemoto method, 165 showed histological mucosal atrophy using the updated Kimura-Takemoto method. All 169 patients were examined for postprandial levels of gastrin-17 (G17) and pepsinogen-1 (PG1) using GastroPanel® (Biohit Plc, Helsinki, Finland).

RESULTS

We used the histological standard of five biopsies of the gastric mucosa, in accordance with the Kimura-Takemoto classification system to assess the sensitivity of G17 in detecting gastric mucosal atrophy. We also compared the morpho-functional relationships between the detected histological degree of gastric mucosal atrophy and the serological levels of G17 and PG1, as the markers of atrophic gastritis. The sensitivity of postprandial G17 was 62.2% for serological levels of G17 (range: 0-4 pmol/L) and 100% for serological G17 (range: 0-10 pmol/L) for the detection of monofocal severe atrophic gastritis. No strong correlation was found between the levels of PG1 and degree of histological atrophy determined by the Kimura-Takemoto classification system to identify the severity of mucosal atrophy of the gastric corpus. In the presented clinical case of a 63-year-old man with multifocal atrophic gastritis, there is a pronounced positive long-term dynamics of the serological marker of atrophy - postprandial G17, after five months of rennet replacement therapy.

CONCLUSION

Serological screening of multifocal atrophic gastritis by assessment of postprandial G17 is a cost-effective method with high sensitivity. Postprandial G17 is an earlier marker of regression of atrophic gastritis than a morphological examination of a gastric biopsy in accordance with the Sydney system. Therefore, postprandial G17 is recommended for dynamic monitoring of atrophic gastritis after treatment.

Key Words: Updated Sydney system, Kimura-Takemoto classification, Prevention, Gastric cancer, Atrophic gastritis, Gastrin-17, Pepsonogen-1

Core Tip: A new assessment of serological markers of atrophic gastritis has been developed and confirmed with application of the updated Kimura-Takemoto morphological classification system. Serological markers of atrophic gastritis in this new interpretation of the classification system can more accurately detect atrophy of the gastric mucosa and complementarily increase the effectiveness of previous technologies for serological screening of precancerous changes in the stomach. Ultimately, this new model of serological screening is highly sensitive for detecting atrophic gastritis across mild, moderate and severe degrees of disease progression.



INTRODUCTION

Atrophic gastritis is a basic precancerous disease of the stomach[1-3]. Many studies have been carried out to determine the clinical utility of detecting precancerous atrophic gastritis via measurement of gastric pepsinogens[4,5]. Serological markers have already demonstrated success in use for effective screening for atrophic gastritis and prevention of gastric cancer. In particular, gastrin-17 (G17) is used as a marker of atrophic gastritis in addition to gastric pepsinogens. Anti-Helicobacter pylori (H. pylori) antibody titer is another very important marker for serological screening for atrophic gastritis for predicting the risk of cancer[6,7]. Kotelevets and Chekh[8] have reported the successful use of the GastroPanel® test panel for mass serological prophylactic screenings. Zagari et al[9] concluded in their review of serological screening for atrophic gastritis that a cost-effectiveness analysis is needed.

Gastroendomicroscopy with narrow-band imaging technology (confocal laser endomicroscopy) aims to detect early gastric cancer and is considered as a secondary approach to prevention of gastric cancer[10-15]. Use of serological markers in cancer prevention of stomach surveillance programs may improve risk stratification for such screenings[16]. However, the relevance of primary prevention of gastric cancer using serological screening for atrophic gastritis was confirmed by Japanese authors, whose results clearly indicated that gastric cancer develops mainly by the cascade of gastritis-atrophy-metaplasia-cancer processes[17]. Scientific research, therefore, needs to be continued. The search for the best serological screening models for atrophic gastritis is paramount considering the extreme importance of primary prevention in gastric cancer management. To develop an optimal method of serological screening and determine the criteria for serological markers that support accurate assessment of atrophic gastritis. The method must also be cost-effective.

MATERIALS AND METHODS
Study subjects

This study was designed and carried out according to the updated Declaration of Helsinki, in a group of 169 dyspeptic patients (58 males, 111 females; mean age: 66.44 ± 10.22 years) with atrophic gastritis who were diagnosed by endoscopy and the Kimura-Takemoto visual endoscopic classification system. This work was performed in accordance with the Declaration of Helsinki (2000) of the World Medical Association. This study also received approval by the Ethical Committee of North Caucasian State Academy (Minutes No. 14/20 dated 29.06.2020). All patients provided informed written consent to the examination. Any patients who had been treated with proton pump inhibitors, H2 antagonists and nonsteroidal anti-inflammatory drugs (commonly known as NSAIDs) at least one month before the study were excluded. Assessment of the type of mucosal atrophy, according to Kimura-Takemoto’s grading (i.e., visual endoscopic classification), was as follows: C-0, absence of atrophy; C-1, atrophy exclusively in the antrum; C-2, border of atrophy on the lesser curvature in the lower third of the gastric corpus; C-3, border of atrophy on the lesser curvature in the middle third of the gastric corpus; O-1, boundary between the lesser curvature and the anterior wall of the gastric corpus; O-2, border of atrophy within the anterior wall of the gastric corpus; and O-3, boundary between the posterior wall of the gastric corpus and large curvature. Biopsies were taken in addition to the visual assessment of atrophic gastritis and comprised six samples subsequently assessed by Kimura-Takemoto grading (C1, C2, C3, O1, O2, O3)[18,19].

Laboratory confirmation

Biopsy specimens were fixed in 10% formalin, embedded in paraffin, cut into sequential 5-μm sections, and stained with hematoxylin and eosin, PAS/alcian blue (pH = 2.5), and Giemsa stain. The grade of stomach mucosal atrophy was estimated from mild to severe, according to the Houston visual analogous scale[20]. In total, 169 persons underwent serological noninvasive screening for atrophic gastritis. The GastroPanel® (Biohit Plc, Helsinki, Finland) assay kit was used to identify parameters of postprandial G17 and pepsinogen-1 (PG1) in the fasting state. The levels of serological markers of mucosal atrophy (mild, moderate, and severe) were assessed according to levels of G17 in the antrum (mild, from 7 to 10 pmol/L; moderate, from 4 to 7 pmol/L; severe, from 0 to 4 pmol/L) and PG1 in the corpus (mild, from 15 to 25 μg/L; moderate, from 9 to 15 μg/L; severe, from 0 to 9 μg/L)[21].

Statistical analysis

In accordance with the purpose and objectives of the study, sensitivity indicators were used to perform comparative evaluations. For analyses of the various groups of mild, moderate and severe atrophy of atrophic gastritis, the percentage of each group among the total population was used. The threshold value of P ≤ 0.05 was set as statistical significance. Given these criteria, differences were identified among patients groups. To assess the relationship between the groups, we applied the nonparametric Spearman correlation coefficient.

RESULTS
Correlation relationship between histological atrophy and PG1 levels

Stomach corpus mucosa biopsy specimens were subjected to histological analysis, with each designated as С2, С3, О1, О2, or О3. Of the 169 patients with atrophic gastritis, selected by the visual endoscopic Kimura-Takemoto method, 165 showed histological mucosal atrophy using the updated Kimura-Takemoto method. Four patients did not show histological evidence of atrophy in any biopsy specimen. One hundred and twenty-one patients had at least one of their five biopsy specimens show severe histological mucosal atrophy. The serological markers of gastric corpus mucosal atrophy have known limitations for assessment because the area of the corpus of the stomach is greater than the area of the antrum. The histological atrophy of the gastric corpus was evaluated in five biopsies (C2, C3, O1, O2, O3) of the Kimura-Takemoto classification and was considered as the reference standard for comparison with serological markers. The severity of histological atrophy in every biopsy was evaluated in four grades, namely no atrophy and mild, moderate or severe atrophy. The findings were compared with patient-correspondent PG1 serum levels. The correlation coefficient was determined between the severity of histological atrophy and the serum levels of PG1 (Table 1).

Table 1 Correlation coefficients between degree of histological atrophy and level of pepsinogen-1.
Biopsy
Focus of a biopsy according to the Kimura-Takemoto classification
Spearman’s rank correlation coefficient
C2Border of atrophy on the lesser curvature in the lower third of the gastric corpus-0.03 (P > 0.05)
C3Border of atrophy on the lesser curvature in the middle third of the gastric corpus-0.13 (P > 0.05)
O1Boundary between the lesser curvature and the anterior wall of the gastric corpus-0.26 (P < 0.05)
O2Border of atrophy within the anterior wall of the gastric corpus-0.44 (P < 0.001)
O3Boundary between the posterior wall of the gastric corpus and large curvature-0.46 (P < 0.001)
Comparative characteristics of serological markers of atrophy of PG1 and G17

No strong negative correlation has been observed between the severity of histological atrophy in biopsy specimens of the gastric corpus and serological marker PG1 level. This underlies a low eligibility of the serological marker PG1 in the assessment of the severity of gastric corpus atrophy. Thus, statistical comparison of the serological marker PG1 of atrophy in the gastric corpus using the morphological standard according to the Kimura-Takemoto classification (five biopsies from the gastric corpus) is much more correct than using the updated Sydney system (two biopsies from the gastric corpus). This can explain the low level of correlation of severity of mucosal atrophy between PG1 and the histological standard of five biopsies of the gastric corpus (C2, C3, O1, O2, O3 according to the Kimura-Takemoto classification). We, thereafter, evaluated the serological marker of atrophy, G17, to detect the severity of mucosal atrophy of the gastric corpus based on a comparison with the histological standard of five biopsies according to the Kimura-Takemoto classification. Table 2 presents the data on PG1 and G17.

Table 2 Comparative characteristics of pepsinogen-1 and gastrin-17 markers of atrophic gastritis, n = 121.
PG1 criteria
PG1 (0-9 μg/L): Severe
PG1 (9-15 μg/L): Moderate
PG1 (15-25 μg/L): Mild
PG1 (> 25 μg/L): False negative
Detected, n (%)7 (5.8)5 (4.1)7 (5.8)102 (84.3)
G17 criteriaG17 (0-4 pmol/L): SevereG17 (4-7 pmol/L): ModerateG17 (7-10 pmol/L): MildG17 (> 10 pmol/L): False negative
Detected, n (%)88 (72.7)15 (12.4)10 (8.3)8 (6.6)
Significance of differencesP < 0.001P > 0.05P > 0.05P < 0.001

PG1 detection yielded 84.3% false-negative results upon comparison with the Kimura-Takemoto histological standard. G17, in contrast, yielded only 6.6% false-negative results. In the previous part of the study, we had analyzed the comparison of serological markers with histological multifocal severe atrophic gastritis of the gastric corpus in five biopsy specimens (C2, C3, O1, O2, O3). Next, we analyzed comparisons of serological markers with histological monofocal severe atrophic gastritis of the gastric corpus. Results of that analysis are presented in Table 3.

Table 3 Structure of monofocal severe atrophic gastritis of the gastric corpus, n = 37.
Monofocus of severe atrophy
С2
С3
О1
О2
С3
Number of patients207532
Percent54 19 13.5 8.1 5.4
Characteristics of the concept of monofocal atrophic gastritis

If severe histological mucosal atrophy was present in only one of five biopsy specimens (C2, C3, O1, O2, O3), then it was considered as monofocal atrophic gastritis of the gastric corpus. We have always rated such gastritis as severe corpus atrophic gastritis because it has a high risk of gastric cancer[22]. The postprandial G17 serological marker was used to detect monofocal severe atrophic gastritis of the gastric corpus. Analysis of these results is presented in Table 4. Receiver-operating characteristic - analysis for multifocal atrophic gastritis is shown in Figure 1.

Figure 1
Figure 1 Receiver-operating characteristic - analysis of serological marker (gastrin-17 from 0 to 10 pmol/L) for severe multifocal atrophic gastritis. TPR: True positive rate; FPR: False positive rate; AUC: Area under the receiver-operating characteristic curve.
Table 4 Use of the gastrin-17 marker for the detection of monofocal severe corpus atrophic gastritis.
Serological criterion G17
Patients, n
Sensitivity, %
False negative, %
0-4 pmol/L2362.237.8
0-10 pmol/L371000
Optimal boundaries of the serological marker of atrophy postprandial G17

Postprandial G17 is the best marker of severe monofocal corpus atrophic gastritis, indicating such in the range of 0-10 pmol/L. It has a sensitivity of 100%, supported by the complete absence of false-negative results. When the range of 0-4 pmol/L was considered, however, the sensitivity dropped to 62.2%. We did not find a strong correlation between severe intestinal metaplasia and severe dysplasia using the Kimura-Takemoto histological classification (correlation coefficient = 0.53; P > 0.05) (Table 5).

Table 5 Morphological structure of intestinal metaplasia and dysplasia.
IM specification
Patients, n
Intestinal metaplasia quota, %
None7443.843.8
Mild4224.856.2
Moderate3520.7
Severe1810.7
Total169100100
Dysplasia specificationPatients, nDysplasia quota, %
None8550.350.3
Mild3621.449.7
Moderate4224.8
Severe63.5
Total169100100
Case presentation

History of present illness: A 63–year–old man in 2017 underwent serological screening by means of a laboratory test panel “Gastropanel” with a preventive purpose for early detection of precancerous pathology of the stomach. The patient had no complaints.

Personal and family history: The patient’s father died of pancreatic cancer in 2014 at the age of 85. The patient’s mother died of breast cancer in 2013 at the age of 85.

Results of serological screening in 2017: Testing for anti-H. pylori immunoglobulin G (IgG): Positive, G17 postprandial: 7.2 pmol/L, PG1: 90 mkg/L. The results for anti-H. pylori IgG: Positive and G17 postprandial: 7.2 pmol/L were considered as H. pylori-associated, antrum-atrophic gastritis mild according to serological criteria by Kotelevets and Chekh[23]. Additional studies were prescribed.

Physical examination: On physical examination, the vital signs were as follows: Body mass index, 22.5; body temperature, 36.3 °C; blood pressure, 120/78 mmHg; heart rate, 62 beats per min; respiratory rate, 12 breaths per min; the abdomen is soft and painless.

Laboratory examinations: Antibodies to gastric parietal cells: Negative, vitamin B12: 227 pg/mL.

Esophagogastroduodenoscopy: Endoscopic symptoms of diffuse atrophic gastritis. Biopsy and morphological examination in accordance with the Sydney system are presented in Tables 6 and 7.

Table 6 Dynamics of multifocal atrophic gastritis of the patient.
Observa-tion time
Patient age
Histological atrophy (Sydney system)
Gastrin-17 pmol/L postprand
Biopsy 1: Antrum
Biopsy 2: Antrum
Biopsy 3: Incisura angul
Biopsy 4: Corpus
Biopsy 5: Corpus
201763MildAbsentMildMildAbsent7.2
201864MildAbsentMildMildAbsent8.6
201965MildMildMildAbsentAbsent7.4
202066MildAbsentAbsentAbsentMild10.9
202167MildMildMildAbsentAbsent17.5
202268MildMildMildMildAbsent15.5
202369-----14.6
Table 7 Dynamics of Helicobacter pylori status of the patient.
Observation time
Patient age
Anti-Helicobacter pylori IgG
C13 urease breath test
Histological test
201763Positive-Positive
201864NegativeNegativeNegative
201965NegativeNegativeNegative
202066NegativeNegativeNegative
202167NegativeNegativeNegative
202268NegativeNegativeNegative
202369NegativeNegative-

Final diagnosis:H. pylori-associated, multifocal atrophic gastritis mild.

Treatment: 14 - daily quadruple therapy: (1) Omeprazole 20 mg twice a day; (2) Bismuth tripotassium dicitrate (de-nol) 240 mg twice a day; (3) Tetracycline 500 mg four times a day; (4) Metronidazole 500 mg twice a day; and (5) Probiotic. After the eradication treatment, the gastroprotection was appointed: De-nol 240 mg twice a day in two weeks; after de-nol sucralfate 1 g three times a day for a month; after sucralfate taking medication plantaglucid (Plantago major) 1 g three times a day for a 6 month.

Outcome and follow-up: A year after serological screening and diagnostic procedures, the following examinations were repeated: Esophagogastroduodenoscopy with biopsy in accordance with the Sydney System and histological examination of biopsies with an assessment on a visual analog scale; G17 postprandial; three tests for H. pylori (anti-H. pylori IgG, C13 urease breath test, histological test).

Summary for 2018: As a result of anti-H. pylori therapy, effective eradication of H. pylori was obtained, which was confirmed by three tests (anti-H. pylori IgG, C13 urease breath test, histological test). The dynamics of multifocal atrophy of the gastric mucosa was absent after effective eradication and cytoprotective therapy. The results are presented in Tables 6 and 7.

After a dynamic examination in 2018, patient underwent gastrocytoprotective treatment with Rebagit (PRO.MED.CS Praha, a.s.) at a dose of 100 mg three times a day for four months. A year after the start of this treatment, a control annual examination was performed: Esophagogastroduodenoscopy with biopsy in accordance with the Sydney system and histological examination of biopsies with an assessment on a visual analog scale; G17 postprandial; three tests for H. pylori (anti-H. pylori IgG, C13 urease breath test, histological test). The results are presented in Tables 6 and 7.

Summary for 2019: The dynamics of multifocal atrophy of the gastric mucosa was absent after the four-month gastrocytoprotective therapy with Rebagit (PRO.MED.CS Praha, a.s.). After a dynamic examination in 2019, patient was started prolonged courses of atrophic gastritis replacement therapy with rennet received from baby calves and lambs. This therapy is similar to Abomin therapy, which the authors published in 2020[8]. The course of treatment continued for five months.

Summary for 2020-2023: Morphological dynamics of multifocal atrophy of the gastric mucosa was absent after five months of rennet replacement therapy. There is a pronounced positive long–term dynamics of the serological marker of atrophy – postprandial G17, after five months of rennet replacement therapy (Table 6). Normalization of the production of postprandial G17 indicates the restoration of the function of G-cells of the gastric antrum. Postprandial G17 is an earlier marker of regression of atrophic gastritis than morphological examination of gastric biopsy according to the Sydney system.

DISCUSSION

The correlation between the serological and histological criteria of mucosal atrophy in the antrum and in the gastric corpus has been studied using the updated Sydney system. The anatomical boundaries of serological markers of antral atrophic and corpus atrophic gastritis are established for mild, moderate, and severe atrophy. G17 is an established marker of antral atrophy, while PG1 is a marker of gastric corpus atrophy used during serological screening of gastric precancer[21,23]. Morphological-functional comparisons between histological grades determined by Kimura-Takemoto classification and the serological markers of G17 and PG1 have a fundamental difference. Accordingly, PG1 is not considered an accurate method for detecting corpus atrophic gastritis compared with the Kimura-Takemoto classification standard histological method.

The Kyoto consensus states that the detection of severity of mucosal atrophy of the stomach makes it possible to predict the development of gastric cancer[22]. Then, the question arises, how should we assess the severity of mucosal atrophy in multifocal atrophic gastritis? Many authors have characterized multifocal atrophic gastritis in accordance with the updated Sydney system[24-29]. At the same time, the updated Sydney system itself does not accurately characterize multifocal atrophic gastritis. It, unfortunately, cannot distinguish between mild, moderate and severe forms of multifocal atrophic gastritis and is only useful for the monofocal form of atrophic gastritis. Therefore, the term “multifocal atrophic gastritis” in accordance with the updated Sydney system cannot be used to predict the development of gastric cancer.

Sipponen et al[30] calculated the relative risk and cumulative risk of gastric cancer for different grades of atrophic gastritis of the antrum and corpus in accordance with the updated Sydney system; the calculations themselves were based on two biopsy samples from the corpus (other biopsies were from antrum). We are convinced that two biopsy specimens for the gastric corpus are not enough, since the gastric corpus is larger than the antrum. The histological Kimura-Takemoto classification more fully meets the conditions for stratification of the risk of developing gastric cancer in patients with atrophic gastritis. Moreover, for this morphological approach, five biopsy specimens should be taken from the gastric corpus. The antrum can also be subject to histological assessment according to Kimura-Takemoto classification.

The level postprandial G17 is an accurate marker of antral mucosal atrophy when using serological criteria: Mild atrophy is indicated by 7-10 pmol/L; moderate atrophy by 4-7 pmol/L; and severe atrophy by 0-4 pmol/L[21]. At the same time, a level from 0 to 10 pmol/L of postprandial G17 is a sensitive marker for the detection of severe mucosal atrophy in multifocal corpus atrophic gastritis. The results of our study allow us to recommend the use of postprandial G17 when performing serological screening of multifocal atrophic gastritis. This method of serological screening for atrophic gastritis is accurate, affordable, and low cost. The comparison of serological criteria for the postprandial G17 marker with histological criteria in accordance with the visual analogue scale of the updated Sydney system should always be correct.

If we compare severe atrophy of the antrum (level of postprandial G17 < 4 or 5 pmol/L) with histological mild, moderate and severe antral atrophy in total, then this result cannot be evaluated. This represents a methodological error, and sensitivity assessment will be very low (36.8%)[15,31,32]. Upon comparison of serological-histological antral atrophy three-quarters mild and mild, moderate and moderate, severe and severe, the sensitivity serological marker G17 increased to 64%, 59%, 96%, respectively[21]. The number of false-negative results when using such serological screening is minimal. This is very important for the detection of severe atrophy, which carries a high risk of developing gastric cancer. The high sensitivity of postprandial G17 (at 96%) for the detection of severe antral atrophy and the absolute sensitivity (at 100%) for the detection of mild, moderate and severe corpus-atrophic gastritis in total provides reason to use this marker for serological screening. The G17 marker has an advantage for identifying atrophic gastritis compared to PG1 and other atrophy markers (PG2, ratio between PG1 and 2)[33,34]. A large number of markers for identifying the risk of developing gastric cancer increases the financial costs of mass screening and makes it economically inaccessible. Some authors have suggested eliminating less effective serological markers from gastric cancer risk screening panels and adding effective prognostic markers[35-38]. The earliest precancerous changes in the stomach may indeed occur in early childhood[39]. Therefore, screening is necessary at a young age. Screening results obtained using serological markers must be confirmed by morphological methods to verify the diagnosis of atrophic gastritis[40-43]. Defining the correct marker criteria for assessing atrophic gastritis improves its sensitivity, specificity, and accuracy. The effectiveness of the marker increases significantly with a pronounced functional connection with the severity of mucosal atrophy, its localization in the stomach, and also in the absence of the influence of the inflammatory process of the gastric mucosa[44-46]. Postprandial G17 meets these requirements. We recommend that postprandial G17 be considered as the marker of choice for detecting atrophic gastritis. It is important to note that the developed fluorescent homogeneous assay (AlphaLISA) for G17 may be more suitable for large-scale screening of people at high risk of gastric cancer than traditional enzyme-linked immunosorbent assay[47]. Autoimmune gastritis, characterized with the presence of anti-parietal-cell antibodies, is an important risk factor for gastric cancer. Therefore, the use of a marker of autoimmune atrophic gastritis (anti-parietal-cell antibodies) is necessary for patients with a positive serological marker of atrophic gastritis[48]. Some authors suggest using gastroscopy to screen for atrophic gastritis, precancerous changes in the gastric mucosa, and gastric cancer. They recommend modern invasive, expensive methods for endoscopic screening: Confocal laser endomicroscopy, probe-based confocal laser endomicroscopy[49,50]. Mass population screening is not possible using invasive, expensive endoscopic technologies. These diagnostic methods are necessary at the second stage to verify the diagnosis for patients in whom a precancerous disease has been identified using serological markers of atrophic gastritis.

CONCLUSION

The new approach for serological screening of multifocal atrophic gastritis by assessment of serological levels of postprandial G17 is a cost-effective method with a high level of sensitivity. Postprandial G17 is an earlier marker of regression of atrophic gastritis than a morphological examination of a gastric biopsy in accordance with the Sydney system. Therefore, postprandial G17 is recommended for dynamic monitoring of atrophic gastritis after treatment.

Footnotes

Provenance and peer review: Invited article; Externally peer reviewed.

Peer-review model: Single blind

Specialty type: Gastroenterology and hepatology

Country of origin: Russia

Peer-review report’s classification

Scientific Quality: Grade A

Novelty: Grade A

Creativity or Innovation: Grade B

Scientific Significance: Grade A

P-Reviewer: Huang B S-Editor: Wang JJ L-Editor: A P-Editor: Che XX

References
1.  Crafa P, Russo M, Miraglia C, Barchi A, Moccia F, Nouvenne A, Leandro G, Meschi T, De' Angelis GL, Di Mario F. From Sidney to OLGA: an overview of atrophic gastritis. Acta Biomed. 2018;89:93-99.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in F6Publishing: 8]  [Reference Citation Analysis (0)]
2.  Kim N. Chemoprevention of gastric cancer by Helicobacter pylori eradication and its underlying mechanism. J Gastroenterol Hepatol. 2019;34:1287-1295.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 17]  [Cited by in F6Publishing: 31]  [Article Influence: 6.2]  [Reference Citation Analysis (0)]
3.  Yucel O. Interactions between Helicobacter pylori and gastroesophageal reflux disease. Esophagus. 2019;16:52-62.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 16]  [Cited by in F6Publishing: 12]  [Article Influence: 2.4]  [Reference Citation Analysis (0)]
4.  Huang YK, Yu JC, Kang WM, Ma ZQ, Ye X, Tian SB, Yan C. Significance of Serum Pepsinogens as a Biomarker for Gastric Cancer and Atrophic Gastritis Screening: A Systematic Review and Meta-Analysis. PLoS One. 2015;10:e0142080.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 82]  [Cited by in F6Publishing: 109]  [Article Influence: 12.1]  [Reference Citation Analysis (0)]
5.  Lee SY. Endoscopic gastritis, serum pepsinogen assay, and Helicobacter pylori infection. Korean J Intern Med. 2016;31:835-844.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 33]  [Cited by in F6Publishing: 38]  [Article Influence: 4.8]  [Reference Citation Analysis (0)]
6.  Syrjänen K. A Panel of Serum Biomarkers (GastroPanel®) in Non-invasive Diagnosis of Atrophic Gastritis. Systematic Review and Meta-analysis. Anticancer Res. 2016;36:5133-5144.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 34]  [Cited by in F6Publishing: 36]  [Article Influence: 5.1]  [Reference Citation Analysis (0)]
7.  Syrjänen K, Eskelinen M, Peetsalu A, Sillakivi T, Sipponen P, Härkönen M, Paloheimo L, Mäki M, Tiusanen T, Suovaniemi O, DiMARIO F, Fan ZP. GastroPanel® Biomarker Assay: The Most Comprehensive Test for Helicobacter pylori Infection and Its Clinical Sequelae. A Critical Review. Anticancer Res. 2019;39:1091-1104.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 10]  [Cited by in F6Publishing: 12]  [Article Influence: 2.4]  [Reference Citation Analysis (0)]
8.  Kotelevets SM, Chekh SA. Screening, Monitoring, and Treatment of Precancerous Atrophic Gastritis in the Prospective Study for Seven Years. Asian Pac J Cancer Prev. 2020;21:331-336.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 4]  [Cited by in F6Publishing: 3]  [Article Influence: 0.8]  [Reference Citation Analysis (0)]
9.  Zagari RM, Rabitti S, Greenwood DC, Eusebi LH, Vestito A, 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. 2017;46:657-667.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 84]  [Cited by in F6Publishing: 107]  [Article Influence: 15.3]  [Reference Citation Analysis (0)]
10.  Kollar M, Spicak J, Honsova E, Krajciova J, Vackova Z, Martinek J. Role of confocal laser endomicroscopy in patients with early esophageal neoplasia. Minerva Chir. 2018;73:417-427.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 4]  [Cited by in F6Publishing: 6]  [Article Influence: 1.0]  [Reference Citation Analysis (0)]
11.  Kim JW. Usefulness of Narrow-Band Imaging in Endoscopic Submucosal Dissection of the Stomach. Clin Endosc. 2018;51:527-533.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 9]  [Cited by in F6Publishing: 10]  [Article Influence: 1.7]  [Reference Citation Analysis (1)]
12.  Zuo XL, Li Z, Li CQ, Zheng YY, Xu LD, Chen J, Lin R, Song J, Yu CH, Yue M, Zhou Q, Liu ZY, Li YQ. Probe-based endomicroscopy for in vivo detection of gastric intestinal metaplasia and neoplasia: a multicenter randomized controlled trial. Endoscopy. 2017;49:1033-1042.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 16]  [Cited by in F6Publishing: 16]  [Article Influence: 2.3]  [Reference Citation Analysis (0)]
13.  Sumiyama K. Past and current trends in endoscopic diagnosis for early stage gastric cancer in Japan. Gastric Cancer. 2017;20:20-27.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 52]  [Cited by in F6Publishing: 53]  [Article Influence: 7.6]  [Reference Citation Analysis (0)]
14.  Li Z, Zuo XL, Li CQ, Liu ZY, Ji R, Liu J, Guo J, Li YQ. New Classification of Gastric Pit Patterns and Vessel Architecture Using Probe-based Confocal Laser Endomicroscopy. J Clin Gastroenterol. 2016;50:23-32.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 16]  [Cited by in F6Publishing: 15]  [Article Influence: 1.9]  [Reference Citation Analysis (0)]
15.  Pasechnikov V, Chukov S, Fedorov E, Kikuste I, Leja M. Gastric cancer: prevention, screening and early diagnosis. World J Gastroenterol. 2014;20:13842-13862.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in CrossRef: 247]  [Cited by in F6Publishing: 271]  [Article Influence: 27.1]  [Reference Citation Analysis (2)]
16.  den Hollander WJ, Holster IL, den Hoed CM, Capelle LG, Tang TJ, Anten MP, Prytz-Berset I, Witteman EM, Ter Borg F, Hartog GD, Bruno MJ, Peppelenbosch MP, Lesterhuis W, Doukas M, Kuipers EJ, Spaander MCW. Surveillance of premalignant gastric lesions: a multicentre prospective cohort study from low incidence regions. Gut. 2019;68:585-593.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 68]  [Cited by in F6Publishing: 86]  [Article Influence: 17.2]  [Reference Citation Analysis (0)]
17.  Yoshida T, Kato J, Inoue I, Yoshimura N, Deguchi H, Mukoubayashi C, Oka M, Watanabe M, Enomoto S, Niwa T, Maekita T, Iguchi M, Tamai H, Utsunomiya H, Yamamichi N, Fujishiro M, Iwane M, Takeshita T, Ushijima T, Ichinose M. Cancer development based on chronic active gastritis and resulting gastric atrophy as assessed by serum levels of pepsinogen and Helicobacter pylori antibody titer. Int J Cancer. 2014;134:1445-1457.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 96]  [Cited by in F6Publishing: 113]  [Article Influence: 10.3]  [Reference Citation Analysis (0)]
18.  Kodama M, Okimoto T, Ogawa R, Mizukami K, Murakami K. Endoscopic atrophic classification before and after H. pylori eradication is closely associated with histological atrophy and intestinal metaplasia. Endosc Int Open. 2015;3:E311-E317.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 18]  [Cited by in F6Publishing: 21]  [Article Influence: 2.3]  [Reference Citation Analysis (0)]
19.  Kimura K, Takemoto T. An Endoscopic Recognition of the Atrophic Border and its Significance in Chronic Gastritis. Endoscopy. 1969;1:87-97.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 612]  [Cited by in F6Publishing: 314]  [Article Influence: 19.6]  [Reference Citation Analysis (3)]
20.  Dixon MF, Genta RM, Yardley JH, Correa P. Classification and grading of gastritis. The updated Sydney System. International Workshop on the Histopathology of Gastritis, Houston 1994. Am J Surg Pathol. 1996;20:1161-1181.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 3221]  [Cited by in F6Publishing: 3404]  [Article Influence: 121.6]  [Reference Citation Analysis (3)]
21.  Mikhailovich S. Serological Criteria for Mild, Moderate and Severe Atrophy in Atrophic Gastritis. Biol Med. 2015;.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 2]  [Cited by in F6Publishing: 2]  [Article Influence: 0.2]  [Reference Citation Analysis (0)]
22.  Sugano K, Tack J, Kuipers EJ, Graham DY, El-Omar EM, Miura S, Haruma K, Asaka M, Uemura N, Malfertheiner P; faculty members of Kyoto Global Consensus Conference. Kyoto global consensus report on Helicobacter pylori gastritis. Gut. 2015;64:1353-1367.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 899]  [Cited by in F6Publishing: 1004]  [Article Influence: 111.6]  [Reference Citation Analysis (0)]
23.  Kotelevets SM, Chekh SA. A comparative study of two methods of serological screening of atrophic gastritis. Biol Med. 2014;6.  [PubMed]  [DOI]  [Cited in This Article: ]
24.  Lahner E, Zagari RM, Zullo A, Di Sabatino A, Meggio A, Cesaro P, Lenti MV, Annibale B, Corazza GR. Chronic atrophic gastritis: Natural history, diagnosis and therapeutic management. A position paper by the Italian Society of Hospital Gastroenterologists and Digestive Endoscopists [AIGO], the Italian Society of Digestive Endoscopy [SIED], the Italian Society of Gastroenterology [SIGE], and the Italian Society of Internal Medicine [SIMI]. Dig Liver Dis. 2019;51:1621-1632.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 63]  [Cited by in F6Publishing: 75]  [Article Influence: 15.0]  [Reference Citation Analysis (0)]
25.  Minalyan A, Benhammou JN, Artashesyan A, Lewis MS, Pisegna JR. Autoimmune atrophic gastritis: current perspectives. Clin Exp Gastroenterol. 2017;10:19-27.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 71]  [Cited by in F6Publishing: 80]  [Article Influence: 11.4]  [Reference Citation Analysis (0)]
26.  Correa P, Piazuelo MB. The gastric precancerous cascade. J Dig Dis. 2012;13:2-9.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 355]  [Cited by in F6Publishing: 442]  [Article Influence: 36.8]  [Reference Citation Analysis (0)]
27.  Rembiasz K, Budzynski A, Karcz D, Konturek PC, Konturek SJ, Stachura J. Multifocal atrophic gastritis: pathogenesis and therapeutic implications. Eur J Gastroenterol Hepatol. 2005;17:857-863.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 2]  [Cited by in F6Publishing: 2]  [Article Influence: 0.1]  [Reference Citation Analysis (0)]
28.  Rembiasz K, Konturek PC, Karcz D, Konturek SJ, Ochmanski W, Bielanski W, Budzynski A, Stachura J. Biomarkers in various types of atrophic gastritis and their diagnostic usefulness. Dig Dis Sci. 2005;50:474-482.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 20]  [Cited by in F6Publishing: 15]  [Article Influence: 0.8]  [Reference Citation Analysis (0)]
29.  Faraji EI, Frank BB. Multifocal atrophic gastritis and gastric carcinoma. Gastroenterol Clin North Am. 2002;31:499-516.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 23]  [Cited by in F6Publishing: 24]  [Article Influence: 1.1]  [Reference Citation Analysis (0)]
30.  Sipponen P, Kekki M, Haapakoski J, Ihamäki T, Siurala M. Gastric cancer risk in chronic atrophic gastritis: statistical calculations of cross-sectional data. Int J Cancer. 1985;35:173-177.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 254]  [Cited by in F6Publishing: 262]  [Article Influence: 6.7]  [Reference Citation Analysis (0)]
31.  Leja M, Kupcinskas L, Funka K, Sudraba A, Jonaitis L, Ivanauskas A, Janciauskas D, Kuidelis G, Chiu HM, Lin JT. Value of gastrin-17 in detecting antral atrophy. Adv Med Sci. 2011;56:145-150.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 20]  [Cited by in F6Publishing: 24]  [Article Influence: 1.8]  [Reference Citation Analysis (0)]
32.  Leja M, Kupcinskas L, Funka K, Sudraba A, Jonaitis L, Ivanauskas A, Janciauskas D, Kiudelis G, Chiu HM, Lin JT. The validity of a biomarker method for indirect detection of gastric mucosal atrophy versus standard histopathology. Dig Dis Sci. 2009;54:2377-2384.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 40]  [Cited by in F6Publishing: 47]  [Article Influence: 3.1]  [Reference Citation Analysis (0)]
33.  Sivandzadeh GR, Zadeh Fard SA, Zahmatkesh A, Anbardar MH, Lankarani KB. Value of Serological Biomarker Panel in Diagnosis of Atrophic Gastritis and Helicobacter pylori Infection. Middle East J Dig Dis. 2023;15:37-44.  [PubMed]  [DOI]  [Cited in This Article: ]  [Reference Citation Analysis (0)]
34.  Ye Q, Xu K, Tong Y, Zhao M. The role of gastrin 17 and pepsinogen I:pepsinogen II ratio in pathological diagnosis and endoscopic selection in gastritis patients. Lab Med. 2024;.  [PubMed]  [DOI]  [Cited in This Article: ]  [Reference Citation Analysis (0)]
35.  Fu XY, Mao XL, Wu HW, Lin JY, Ma ZQ, Liu ZC, Cai Y, Yan LL, Sun Y, Ye LP, Li SW. Development and validation of LightGBM algorithm for optimizing of Helicobacter pylori antibody during the minimum living guarantee crowd based gastric cancer screening program in Taizhou, China. Prev Med. 2023;174:107605.  [PubMed]  [DOI]  [Cited in This Article: ]  [Reference Citation Analysis (0)]
36.  Wang S, Qian M, Wu M, Feng S, Zhang K. The prediction model of operative link on gastric intestinal metaplasia stage III-IV: A multicenter study. Heliyon. 2023;9:e21905.  [PubMed]  [DOI]  [Cited in This Article: ]  [Reference Citation Analysis (0)]
37.  Huang RJ, Park S, Shen J, Longacre T, Ji H, Hwang JH. Pepsinogens and Gastrin Demonstrate Low Discrimination for Gastric Precancerous Lesions in a Multi-Ethnic United States Cohort. Clin Gastroenterol Hepatol. 2022;20:950-952.e3.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 8]  [Cited by in F6Publishing: 8]  [Article Influence: 4.0]  [Reference Citation Analysis (0)]
38.  Yanan Z, Juan W, Jun W, Xin M, Kejian W, Fangyu W. Application of serum gastric function markers and digestive tumor indices to the diagnosis of early gastric cancer and precancerous lesions. Saudi Med J. 2023;44:795-800.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1]  [Cited by in F6Publishing: 1]  [Article Influence: 1.0]  [Reference Citation Analysis (0)]
39.  Meliț LE, Mărginean CO, Borka Balas R. The Most Recent Insights into the Roots of Gastric Cancer. Life (Basel). 2024;14.  [PubMed]  [DOI]  [Cited in This Article: ]  [Reference Citation Analysis (0)]
40.  Yu H, Wang H, Pang H, Sun Q, Lu Y, Wang Q, Dong W. Correlation of chronic atrophic gastritis with gastric-specific circulating biomarkers. Arab J Gastroenterol. 2024;25:37-41.  [PubMed]  [DOI]  [Cited in This Article: ]  [Reference Citation Analysis (0)]
41.  Pei B, Wen Z, Yang Q, Wang J, Cao Q, Dai L, Li X. Risk Factors Analysis and Prediction Model Establishment of Intestinal Metaplasia or Dysplasia in Patients With Chronic Atrophic Gastritis: A Multi-Center Retrospective Study. Front Med (Lausanne). 2022;9:912331.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in F6Publishing: 5]  [Reference Citation Analysis (0)]
42.  Dondov G, Amarbayasgalan D, Batsaikhan B, Badamjav T, Batbaatar B, Tuvdenjamts B, Tumurbat N, Davaa B, Purevdorj E, Nyamaa B, Lonjid T. Diagnostic performances of pepsinogens and gastrin-17 for atrophic gastritis and gastric cancer in Mongolian subjects. PLoS One. 2022;17:e0274938.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in F6Publishing: 4]  [Reference Citation Analysis (0)]
43.  Xiao M, Zhang Z, Liao G, Liu M, Chen X. Analysis of the Value of Helicobacter pylori Test in Combination with the Determination of Plasma Propepsin and Gastrin 17 in Screening the Precancerous Status of Gastric Cancer. Cell Mol Biol (Noisy-le-grand). 2022;68:110-115.  [PubMed]  [DOI]  [Cited in This Article: ]  [Reference Citation Analysis (0)]
44.  Zhou JP, Liu CH, Liu BW, Wang YJ, Benghezal M, Marshall BJ, Tang H, Li H. Association of serum pepsinogens and gastrin-17 with Helicobacter pylori infection assessed by urea breath test. Front Cell Infect Microbiol. 2022;12:980399.  [PubMed]  [DOI]  [Cited in This Article: ]  [Reference Citation Analysis (0)]
45.  Zeng J, Shen Y, Xu S, Yang R. Analysis of gastrin-17 and its related influencing factors in physical examination results. Immun Inflamm Dis. 2023;11:e993.  [PubMed]  [DOI]  [Cited in This Article: ]  [Reference Citation Analysis (0)]
46.  Gašenko E, Bogdanova I, Sjomina O, Aleksandraviča I, Kiršners A, Ancāns G, Rudzīte D, Vangravs R, Sīviņš A, Škapars R, Tzivian L, Polaka I, Folkmanis V, Leja M. Assessing the utility of pepsinogens and gastrin-17 in gastric cancer detection. Eur J Cancer Prev. 2023;32:478-484.  [PubMed]  [DOI]  [Cited in This Article: ]  [Reference Citation Analysis (0)]
47.  Xiang Z, Zhou Y, Chen X, Qin Y, Zhou X, Zhao X, Wang Y, Huang B, Zhang Y. Development of amplified luminescent proximity homogeneous assay for quantitation of gastrin-17. Anal Biochem. 2023;662:115016.  [PubMed]  [DOI]  [Cited in This Article: ]  [Reference Citation Analysis (0)]
48.  Guo X, Schreurs MWJ, Marijnissen FE, Mommersteeg MC, Nieuwenburg SAV, Doukas M, Erler NS, Capelle LG, Bruno MJ, Peppelenbosch MP, Spaander MCW; Proregal study group, Fuhler GM. Increased Prevalence of Autoimmune Gastritis in Patients with a Gastric Precancerous Lesion. J Clin Med. 2023;12.  [PubMed]  [DOI]  [Cited in This Article: ]  [Reference Citation Analysis (0)]
49.  Bok GH, Jeon SR, Cho JY, Cho JH, Lee WC, Jin SY, Choi IH, Kim HG, Lee TH, Park EJ. The accuracy of probe-based confocal endomicroscopy versus conventional endoscopic biopsies for the diagnosis of superficial gastric neoplasia (with videos). Gastrointest Endosc. 2013;77:899-908.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 39]  [Cited by in F6Publishing: 44]  [Article Influence: 4.0]  [Reference Citation Analysis (0)]
50.  Li WB, Zuo XL, Li CQ, Zuo F, Gu XM, Yu T, Chu CL, Zhang TG, Li YQ. Diagnostic value of confocal laser endomicroscopy for gastric superficial cancerous lesions. Gut. 2011;60:299-306.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 95]  [Cited by in F6Publishing: 97]  [Article Influence: 7.5]  [Reference Citation Analysis (0)]