Abstract
A hospital-based cross-sectional study in SIGES project was conducted during 2016.5–2017.5 in West China Hospital. It was aimed to observe the prevalence of atrophic gastritis (AG) in southwest China, and assess the diagnostic strength of serum gastrin-17 (G-17) in predicting AG in Chinese population. Asymptomatic healthy controls from health check-up, cancer-free patients with unspecific upper gastrointestinal symptoms, and histologically proven gastric cancer patients were eligible, if serum pepsinogen-I (PG-I), PG-II, and G-17 were detected. AG status was classified by the accredited cutoffs of PG-I (<70 ug/L) and PG-I/II ratio (<3). Totally, healthy controls (n = 9,425), symptomatic patients (n = 671) and gastric cancer patients (n = 305) were simultaneously observed, in which the prevalence of AG in southwest China were estimated as 15.9/1,000, 28.3/1,000, and 55.7/1,000 persons, respectively. The age-specific prevalence of AG in healthy controls showed a significantly uphill trend (p for trend <0.001). Higher level of serum G-17 was significantly associated with increased risk of AG in healthy population (15–30 pmol/L, aOR = 20.67, 95% CI 9.17–46.55; >30 pmol/L, aOR = 314.41, 95% CI 166.10–595.12). Throughout the progression of stomach diseases, the diagnostic strength of serum G-17 for AG showed a downhill trend across more advanced situations. In despite of that, serum G-17 displayed a good performance in predicting AG in the entire cross-sectional population (AUC = 0.92, 95% CI 0.89–0.94; SEN = 85.5%; SPE = 93.2%; LR+ = 12.55; LR− = 0.11). Population in southwest China had intermediate prevalence of AG, while the prevalence was increased over age or disease progression. High level of serum G-17 might be a reliable non-invasive measurement to predict AG in southwest Chinese population.
Subject terms: Predictive markers, Gastrointestinal diseases
Introduction
Atrophic gastritis is a well-established precursor of intestinal-type gastric cancer. The population prevalence of atrophic gastritis generally ranged from 2.1% to 8.2%1. The presence of atrophic gastritis was associated with the increased risk of gastric cancer during longitudinal observation in both the western and eastern populations2–4. Therefore, the China Consensus on Early Gastric Cancer Screening, Endoscopic Diagnosis and Treatment (2014) recommended to define patients with atrophic gastritis as a kind of high-risk candidates for gastric cancer screening5. The European Helicobacter Study Group agreed on the statement “Serologic screening is suitable for clinical use in countries with a relatively low incidence of gastric cancer, because it enables endoscopic follow-up of caseswith an abnormal serologic profile suggesting atrophic gastritis”6. However, nationwide massive screening programs for gastric cancer were established only in Japan and Korea, but not in China and other nations yet7,8. Regarding the great health burden from gastric cancer in China9,10, particularly the relatively low proportion of early gastric cancer7,11, it would be necessary to investigate the relevant screening strategy covering precancerous lesions based on Chinese population.
Serum pepsinogen was widely used in clinical practice as biomarkers of stomach inflammation and mucosal lesions, including atrophic changes12,13. Serologic diagnosis of atrophic gastritis by combination of pepsinogen-I (PG-I) and PG-I/II ratio demonstrated excellent performance as a preferable non-invasive measurement14–16. Particularly, pepsinogens was recommended as useful biomarkers to reflect gastric atrophy and identify high-risk subpopulation for gastric cancer by an Asia-Pacific consensus17. Additionally, gastrin-17 (G-17) was known as another non-invasive biomarker for atrophic gastritis18–20. G-17, a predominant form of antral hormone gastrins in plasma or tissue in antral mucosa, can regulate gastric acid secretion and growth of the gastric mucosa18,21. G-17 is almost exclusively produced by the antral G-cells, which can reflect the progression and severity of gastric mucosal diseases. Previous observational studies showed diverse results, and a meta-analysis found the diagnostic strength of G-17 for predicting atrophic gastritis was only 48% sensitivity and 79% specificity22. However, the relevant studies based on Chinese population were still sparse, and the extrapolation of serum G-17 test in Chinese massive screening requires further investigations.
Therefore, the SIGES project was aimed to investigate the prevalence of atrophic gastritis in southwest China, and simultaneously assess the diagnostic strength of serum G-17 in predicting atrophic gastritis in healthy persons, symptomatic cancer-free patients, and gastric cancer patients.
Methods
Study design
This was a retrospective hospital-based cross-sectional study, with the major mission of Sichuan Gastric Cancer Early Detection and Screening (SIGES) project. It was conducted in West China Hospital, Sichuan University, a central high-volume teaching hospital at Sichuan province in the southwest of China. The period of the study was between May 2016 and May 2017. The subjects covered healthy controls, symptomatic cancer-free patients, and gastric cancer patients, who were managed or treated in West China Hospital. A total of 10,401 observations were included in this SIGES study (Fig. 1).
Ethics
This hospital-based cross-sectional study retrospectively collected the participants' basic information and results of serum G-17, PG-I, and PG-II. The SIGES study was approved by the Biomedical Ethical Committee of West China Hospital, Sichuan University (id: 2015-151-V2). The informed consent was waived by the approval of the Biomedical Ethical Committee for the sake of retrospective nature, but the personal information was anonymised, when analyzing and reporting data.
Eligibility
The eligibility was reviewed and assessed thoroughly based on the electronic medical records reportedby general practioners, gastroenterologists, or gastrointestinal surgical oncologists: (1) The healthy controls were collected from the health checkup in the Center of Health Checkup. The general practitioners recorded them as the asymptomatic status and cancer-free status; (2) The symptomatic cancer-free patients were collected among the outpatients or inpatients from the Department of Gastroenterology and the Department of Gastrointestinal Surgery. These patients were diagnosed of chronic gastritis or functional dyspepsia due to unspecific upper gastrointestinal symptoms, and were recorded as cancer-free status by gastroenterologists or gastrointestinal surgical oncologists; (3) The gastric cancer patients were collected from the Department of Gastrointestinal Surgery. The diagnosis was proved by endoscopic biopsy and pathology, regardless of stage. Other kinds of malignancies were excluded, such as lymphoma and gastrointestinal stromal tumor. In addition, all the included observations should be tested the serum G-17, PG-I, and PG-II together. For the gastric cancer patients, the serologic tests should be performed preoperatively, while the postoperative tests would not be considered.
Serology
Fasting blood samples were obtained from all observations at health checkup, outpatient visit, or surgical ward. The fresh sample was transferred to the Department of Clinical Laboratory in time and the serum was tested in the same day. The serologic tests of G-17, PG-I, and PG-II were in-house determined by enzyme-linked immunosorbent assay (ELISA; BioHit) according to the manufacturer’s instructions. The in-house cutoffs of normal references were, PG-I 70–165 ug/L, PG-II 3–15 ug/L, PG-I/II ratio 7–20, and G-17 1–15 pmol/L, respectively. The atrophic gastritis was defined as PG-I < 70.0 ug/L and PG-I/II ratio < 3.0, which was a comprehensively accepted cutoff for both the western and eastern populations3,13,23,24. Among those, if PG-I < 20.0 ug/L and PG-I/II ratio < 3.0, they were defined as severe atrophy, while the others were mild-moderate atrophy.
Statistics
Demographic characteristics and serologic results of the observations were compared by Chi-square test for categorical variables, and Wilcoxon rank-sum test for ranked variables or continuous variables without normality distribution. Shapiro-Wilk test for normal data was used to check the normality of variables. Provided multi-group comparison, the Kruskal-Wallis rank test was performed initially. Spearman rho correlation test was used analyzed the association of G-17 with PG-I, PG-II, and PG-I/II ratio. The correlation coefficients were estimated, and relationship was classified by the absolute value of coefficients, as strong (0.7–1), moderate (0.5–0.7), weak (0.3–0.5), and none (0–0.3). The non-parametric trend test was used to test the changes of prevalence over age groups. Multivariate analyses were performed by Logistic regression, and adjusted odds ratio (aORs) with 95% confidence intervals (CIs) were estimated. Non-parametric ROC analysis without covariates was used to assess the capability of predicting atrophic gastritis status, while sensitivity (SEN), specificity (SPE), accurancy (ACC), positive likelihood ratio (LR+), and negative likelihood ratio (LR-) were additionally estimated. The LR+ > 10.0 or LR− < 0.1 presented a strong diagnostic power. The area under the curve (AUC) with standard error (SE) was calculated. The cutoffs of serum G-17 > 1 pmol/L, >15 pmol/L, and > 30 pmol/L were applied while estimating AUCs. Additionally, the maximal Youden index (=SEN + SPE) was calculated to determine the optimal cutoff of serum G-17. The strength of AUCs was classified as mild (0.5–0.7), moderate (0.7–0.9), and strong (0.9–1). The difference of AUCs were compared by the Z test. All statistical tests were two-sided and statistical significance was defined as p < 0.05. The STATA/SE 12.0 software was used for statistical analysis.
Results
In the SIGES study, 9,425 healthy controls, 671 symptomatic cancer-free patients, and 305 gastric cancer patients were included. The demography and results of serum PG-I, PG-II, PG-I/II ratio, and G-17 were displayed in the Table 1 and Supplementary Fig. 1. There was only weak-moderate correlation of serum G-17 with serum PG-I, PG-II, or PG-I/II ratio (Supplementary Fig. 2).
Table 1.
Healthy controls (n = 9,425) | Symptomatic cancer-free patients (n = 671) | Gastric cancer patients (n = 305) | p1 | p2 | |
---|---|---|---|---|---|
Sex | |||||
Males | 5,087 (54.0%) | 304 (45.3%) | 208 (68.2%) | <0.001 | <0.001 |
Females | 4,338 (46.0%) | 367 (54.7%) | 97 (31.8%) | ||
Age (year) | |||||
<20 | 21 (0.2%) | 1 (0.2%) | 0 | <0.001 | <0.001 |
20–39 | 2,372 (25.2%) | 110 (16.4%) | 27 (8.9%) | ||
40–59 | 5,781 (61.3%) | 371 (55.3%) | 121 (39.7%) | ||
60–79 | 1,210 (12.8%) | 185 (27.6%) | 149 (48.9%) | ||
80– | 41 (0.4%) | 4 (0.6%) | 8 (2.6%) | ||
PG-I (ug/L) | |||||
Normal (70–165) | 5,338 (56.6%) | 375 (55.9%) | 142 (46.6%) | <0.001 | <0.001 |
Very low (<20) | 99 (1.1%) | 11 (1.6%) | 6 (2.0%) | ||
Low (20, <70) | 3,657 (38.8%) | 155 (23.1%) | 49 (16.1%) | ||
High (>165) | 331 (3.5%) | 130 (19.4%) | 108 (35.4%) | ||
PG-II (ug/L) | |||||
Normal (3–15) | 7,633 (81.0%) | 466 (69.4%) | 149 (48.8%) | <0.001 | <0.001 |
Low (<3) | 189 (2.0%) | 16 (2.4%) | 2 (0.7%) | ||
High (>15) | 1,603 (17.0%) | 189 (28.2%) | 154 (50.5%) | ||
PG-I/II ratio | |||||
Normal (7–20) | 7,247 (76.9%) | 514 (76.6%) | 168 (55.1%) | 0.028 | <0.001 |
Very low (<3) | 214 (2.3%) | 22 (3.3%) | 23 (7.5%) | ||
Low (3, <7) | 1,827 (19.4%) | 109 (16.2%) | 104 (34.1%) | ||
High (>20) | 137 (1.5%) | 26 (3.9%) | 10 (3.3%) | ||
G-17 (pmol/L) | |||||
Normal (1–15) | 5,885 (62.4%) | 380 (56.6%) | 187 (61.3%) | <0.001 | <0.001 |
Low (<1) | 2,904 (30.8%) | 162 (24.1%) | 28 (9.2%) | ||
High (>15, 30) | 334 (3.5%) | 73 (10.9%) | 49 (16.1%) | ||
Very high (>30) | 302 (3.2%) | 56 (8.4%) | 41 (13.4%) |
Abbreviations: G-17, gastrin-17; PG-I, pepsinogen-I; PG-II, pepsinogen-II.
p1, for comparisons between symptomatic cancer-free patients and healthy controls.
p2, for comparisons between gastric cancer patients and healthy controls.
The prevalence of atrophic gastritis were 15.9 (95% CI 13.4–18.4) per 1,000 persons in healthy population, 28.3 (95% CI 15.8–40.9) per 1,000 persons in upper GI symptomatic patients, and 55.7 (95% CI 30.0–81.5) per 1,000 persons in gastric cancer patients, respectively (Fig. 2). In the healthy controls, the age-specific prevalence of atrophic gastritis showed a significantly uphill trend (p for trend < 0.001) (Fig. 2). The prevalence were 0, 5.1 (95% CI 2.2–7.9), 14.5 (95% CI 11.4–17.6), 41.3 (95% CI 30.1–52.5), and 97.6 (95% CI 6.7–188.4) per 1,000 persons in <20 years, 20–39 years, 40–59 years, 60–79 years, and ≥80 years age groups, respectively.
Sex was not associated with the risk of atrophic gastritis (Table 2). Concerning age, only ≥60 years was an independent risk factor in healthy population (aOR = 3.02, 95% CI 1.46–6.21). The serum G-17 level presented uphill trends over the severity of atrophic gastritis in different subjects (all p for trend < 0.05) (Fig. 3). Additionally, in healthy controls, high level (aOR = 20.67, 95% CI 9.17–46.55) and very high level (aOR = 314.41, 95% CI 166.10–595.12) of serum G-17 were associated with the increased risks of atrophic gastritis. However, low level of serum G-17 was not associated with the risk of atrophic gastritis (Table 2), and it was the reason why low and normal levels of serum G-17 were combined as one subgroup in the present study. Moreover, throughout the progression of stomach diseases, only very high level of serum G-17 was always associated with the increased risk of atrophic gastritis in symptomatic cancer-free patients (aOR = 42.40, 95% CI 11.63–154.66) and gastric cancer patients (aOR = 5.50, 95% CI 1.78–17.02), respectively.
Table 2.
Covariate | Healthy controls | Symptomatic cancer-free | Gastric cancer | |||
---|---|---|---|---|---|---|
CAG prevalence | aOR (95% CI) | CAG prevalence | aOR (95% CI) | CAG prevalence | aOR (95% CI) | |
Sex | ||||||
Female | 17.1‰ | ref. | 38.1‰ | ref. | 72.2‰ | ref. |
Male | 14.9‰ | 1.00 (0.68–1.49) | 16.4‰ | 0.44 (0.14–1.33) | 48.1‰ | 0.71 (0.25–2.05) |
Age (yrs) | ||||||
<40 | 5.0‰ | ref. | 0‰ | — | 0‰ | — |
40–59 | 14.5‰ | 1.82 (0.93–3.58) | 32.3‰ | ref. | 66.1‰ | ref. |
60– | 43.2‰ | 3.01 (1.46–6.21) | 37.0‰ | 1.20 (0.42–3.44) | 57.3‰ | 1.43 (0.50–4.10) |
Serum G-17 | ||||||
Normal | 1.9‰ | ref. | 7.9‰ | ref. | 37.4‰ | ref. |
Low | 1.7‰ | 0.96 (0.33–2.76) | 6.2‰ | 0.87 (0.09–8.53) | 0‰ | — |
High | 38.9‰ | 20.67 (9.17–46.55) | 13.7‰ | 1.97 (0.20–19.31) | 61.2‰ | 1.71 (0.42–6.98) |
Very high | 400.7‰ | 314.41 (166.10–595.12) | 250.0‰ | 42.40 (11.63–154.66) | 170.7‰ | 5.50 (1.78–17.02) |
Abbreviations: aOR, adjusted odds ratio; CAG, chronic atrophic gastritis; CI, confidence interval; G-17, gastrin-17; ref., reference.
Regarding none inverse risk of atrophic gastritis between low and normal levels of serum G-17, the optimal cutoff of prediction would be reasonable. The in-house upper limit of serum G-17 (≤15 pmol/L) demonstrated a good diagnostic performance, with SEN = 89.3%, SPE = 94.6%, ACC = 94.5%, LR+ = 16.51, LR− = 0.11, and AUC = 0.93 (95% CI 0.91–0.96) (Table 3). The optimal cutoff of G-17 by the maximal Youden index was 14.62 pmol/L, which was fairly close to the in-house upper limit and displayed similar diagnostic strength (AUC = 0.94, 95% CI 0.91–0.97, p = 0.294). Throughout the progression of stomach diseases, the diagnostic strength of serum G-17 for atrophic gastritis showed a downhill trend across symptomatic cancer-free patients (AUC = 0.85, p = 0.142) and gastric cancer patients (AUC = 0.70, p<0.001). Nevertheless, in the entire cross-sectional population, the diagnostic strength was still preserved well (AUC = 0.92, p = 0.648) (Fig. 4).
Table 3.
G-17 cutoffs(pmol/L) | SEN | SPE | ACC | LR+ | LR− | AUC (95% CI) | p |
---|---|---|---|---|---|---|---|
Healthy | 0.93 (0.91–0.96) | ref. | |||||
>1 | 96.7% | 31.3% | 32.3% | 1.41 | 0.11 | ||
>15 | 89.3% | 94.6% | 94.5% | 16.51 | 0.11 | ||
>30 | 80.7% | 98.1% | 97.8% | 41.34 | 0.20 | ||
Healthy (continuous variable of G-17) | 0.94 (0.91–0.97) | 0.294 | |||||
≥14.62 (Youden max) | 90.7% | 94.3% | 94.2% | 15.87 | 0.10 | ||
Symptomatic cancer-free | 0.85 (0.74–0.96) | 0.142 | |||||
>1 | 94.7% | 24.7% | 26.7% | 1.26 | 0.21 | ||
>15 | 79.0% | 82.5% | 82.4% | 4.52 | 0.26 | ||
>30 | 73.7% | 93.6% | 93.0% | 11.44 | 0.28 | ||
Gastric cancer | 0.70 (0.57–0.82) | <0.001 | |||||
>1 | 100% | 9.7% | 14.8% | 1.11 | 0 | ||
>15 | 58.8% | 72.2% | 71.5% | 2.12 | 0.57 | ||
>30 | 41.2% | 88.2% | 85.6% | 3.49 | 0.67 | ||
All observations | 0.92 (0.89–0.94) | 0.648 | |||||
>1 | 96.8% | 30.2% | 31.4% | 1.39 | 0.11 | ||
>15 | 85.5% | 93.2% | 93.1% | 12.55 | 0.16 | ||
>30 | 76.3% | 97.5% | 97.1% | 30.34 | 0.24 |
Abbreviations: ACC, accurancy; AUC, area under the curve; CI, confidence interval; G-17, gastrin-17; LR+, positive likelihood ratio; LR−, negative likelihood ratio; ref., reference; SEN, sensitivity; SPE, specificity.
Discussion
In this cross-sectional study, symptomatic patients and gastric cancer patients in addition to healthy population were simultaneously observed. The prevalence of atrophic gastritis in southwest China were estimated as 15.9/1,000 in healthy population, 28.3/1,000 in upper GI symptomatic patients, and 55.7/1,000 in gastric cancer patients, respectively. High level of serum G-17 (>15 pmol/L) was significantly associated with increased risk of atrophic gastritis in healthy population. Throughout the progression of stomach diseases, the diagnostic strength of serum G-17 for atrophic gastritis showed a downhill trend across more advanced situations. In despite of that, serum G-17 displayed a good performance in predicting atrophic gastritis in entire cross-sectional population.
The prevalence of atrophic gastritis was diverse in different populations in the world. In a Russian asymptomatic cohort, the prevalence of atrophic gastritis was much higher as 108/1,000 persons, while the prevalence of Helicobacter pylori (H. pylori) infection was as high as 76.7% in the cohort25. Similarly, in a Kazakhstan cohort (both asymptomatic and symptomatic), the prevalence of atrophic gastritis was up to 141/1,000 persons, with H. pylori infection infection (but no atrophy) in 62.3% of the cohort26. In a Cameroon small-sized dyspeptic series, the prevalence of atrophic gastritis was 66/1,000 persons, and the rate of H. pylori infection was 79.8%27. In Korea, one of the high-incidence nations of gastric cancer, a multicenter study found the prevalence of endoscopic atrophic gastritis was even up to 407/1,000 persons, and H. pylori seropositivity was a risk factor for intestinal metaplasia, a more advanced precancerous lesion28. Additionally, a Swedish long-term cross-sectional study revealed the prevalence of atrophic gastritis was associated with the H. pylori seropositivity29.
The information on the prevalence of atrophic gastritis was scarce in Chinese. In contrast, the healthy and symptomatic subjects in the SIGES study appeared only 15.9/1,000 and 28.3/1,000 persons had atrophic gastritis. Among the elder healthy persons, the prevalence were 41.3/1,000 and 97.6/1,000 persons in the age groups 60–79 years and ≥80 years, respectively. The lower prevalence in southwest China may attribute to the decreasing rate of H. pylori infection. Although China was a high-incidence nation of gastric cancer, the prevalence of H. pylori infection displayed a apparent geographic disparity9. In a longitudinal observation based on sequential cross-sectional studies in Sichuan, the rate of H. pylori infection declined dramatically from 56.6% to 41.1% between 2008 and 201430. Therefore, it can be inferred that the efforts in health education, screening and control of H. pylori in Sichuan province during the past decade makes the H. pylori-associated atrophic gastritis decreased. A study in two cities of Fujian province indicated the higher prevalence of H. pylori and atrophic gastritis might result in a higher risk condition for developing gastric cancer and a greater population mortality rate31. Therefore, these evidence based on Chinese population validated the value of massive screening of atrophic gastritis for the sake of gastric cancer control in China.
In the western populations, it was found the combination of serum PG-I, PG-II, G-17, and H. pylori antibody could obtain acceptable sensitivity and specificity to predict atrophic gastritis32. In a multicenter study, the combination had good agreement with endoscopic and biopsy findings in gastric histology of atrophy33. However, in contrast, another multicenter prospective study found the combination was not accurate enough to predict atrophic gastritis among dyspeptic patients with sensitivity 50% and specificity 80%34. Due to inconsistent results, a meta-analysis pooled twenty diagnostic studies on the combination, and found the summarized sensitivity was 74.7% (95% CI 62.0%-84.3%) and specificity was 95.6% (95% CI 92.6%-97.4%) for diagnosis of atrophic gastritis35. Another meta-analysis found the combination performed even better in the corpus atrophy than in the antrum atrophy36. Likewise, a cross-sectional analysis based on a northeast Chinese population (12,112 subjects) also proved the usefulness of the combination in identifying high-risk individuals for further diagnostic gastroscopy, and stratifying individuals' risk24. A recent updated meta-analysis reported the pooled sensitivity was 0.59 (95% CI 0.38–0.78), while on the other hand, the pooled specificity, diagnostic odds ratio, and AUC were 0.89 (95% CI 0.70–0.97), 12 (95% CI 6–25), and 0.81 (95% CI 0.77–0.84), respectively13.
In fact, there was no efficient biomarkers to directly diagnose precancerous lesions of gastric cancer till now37,38. However, in the pattern of massive screening, the application of serum pepsinogen assay may be reasonable as a primary classification standard. The present study was aimed to validate the predicting strength of serum G-17 in a massive setting. In the future, we plan to validate the combination of both pepsinogens and G-17 to predict atrophic gastritis in a histology-based setting, but in a smaller group of observations. Additionally, the combination of detecting H. pylori, Epstein-Barr virus, and other oncoviruses might be considerable to further investigate the predicting strength of precancerous lesions in a non-invasive pattern30,39–41. Therefore, the above findings warrant further investigation based the SIGES population to identify high-risk subpopulation with precancerous condition for endoscopic screening in a cost-effective manner.
Edkins JS first reported gastrin functioning in the chemical mechanism of gastric acid secretion42. The expression of gastrin can also be adjusted by the acid feedback43. Among the family of gastrin, G-17 particularly plays a critical role in the regulation of gastric acid secretion43. Some other researches similarly found high level of serum gastrin was associated with precancerous lesions and gastric cancer in Asians44–47. The results of the present study demonstrated that the prevalence of atrophic gastritis tended to increase from benign to malignant lesion. Atrophy might make acid secretion decreased, while the serum G-17 would be increased through acid feedback adjustment. Similarly, the proton pump inhibitor could make the acid secretion inhibited, and led to the elevated level of serum G-1748. It may be the mechanism why a high level of serum G-17 is potentially able to predict precancerous lesions of gastric cancer.
There were some limitations need consider with caution. First, this was a hospital-based cross-sectional population, rather than a natural population. There might be a certain sampling bias. Second, the classification of atrophic gastritis was dependent on serologic measurement, rather than endoscopy and histology. A minor part of misclassification might not be eliminated in this study. The upper GI endoscopy was not mandatory in the massive health checkup in China, so it was impossible to be improved in a cross-sectional study. The serologic classification by the combination of serum PG-I and PG-I/II ratio could achieve a good diagnostic accurancy, even as high as more than 90%1,23. However, the updated meta-analysis found the pooled sensitivity of serum pepsinogen assay was merely 59% to predict atrophic gastritis13. It means the prevalence of atrophic gastritis might be underestimated in the present study. Third, the health checkup did not involve endoscopic screening and confirmation of the absence of gastric cancer. However, the crude incidence of gastric cancer in China was 33.66/100,000 persons49, and the underestimated gastric cancer might be rare in the healthy controls. The sensitivity analysis including the entire cross-sectional population found the contamination with gastric cancer patients (305/10,401) did not impair the diagnostic strength of serum G-17 for prewarning of atrophic gastritis. Fourth, there was methodological concerns why low and normal levels of G-17 were combined. The prevalence of atrophic gastritis were quite close between normal and low levels of G-17, while the aORs were not significant in the healthy and symptomatic cancer-free controls, as well as null atrophic gastritis in low level of G-17 in gastric cancer patients (Table 2). Therefore, in the following analysis shown in the Table 3, the serum G-17 was analyzed as a continuous variable rather than a binary variable. Fifth, the administration of the proton pump inhibitor (PPI) was unclear at the baseline, especially in symptomatic and gastric cancer patients. Recent usage of PPI might lead to the elevated level of serum G-1748. It might be the reason why only very high level (>30 pmol/L) of G-17 was associated with atrophic gastritis status in symptomatic and gastric cancer patients. Finally, the consideration of the joint assessment along with H. pylori status in the following investigation of SIGES would be more informative to understand the high-risk subpopulation in southwest China for health policy decision-maker.
In conclusion, population in southwest China had intermediate prevalence of AG, while the prevalence was increased over age or disease progression. In the SIGES study, serum G-17 was found to be a reliable non-invasive measurement to predict AG in Chinese population. However, the decision-making based on serum G-17 in massive screening need further investigate in prospective epidemiologic studies.
Supplementary information
Acknowledgements
This study was conducted from the Sichuan Gastric Cancer Early Detection and Screening (SIGES) project. The 1·3·5 Project for Disciplines of Excellence, West China Hospital, Sichuan University (No. ZY2017304), and Wu Jieping Medical Foundation (No. 320.2710.1815), the funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. This study was partially represented in the Korea International Gastric Cancer (KINGCA) Week 2019, Incheon, Korea, April 11–13 2019.
Author contributions
R.W. for data retrieval, statistics and manuscript preparation. X.Z.C. for study registration, application of ethical approval, statistics and manuscript preparation.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
is available for this paper at 10.1038/s41598-020-61472-7.
References
- 1.Brenner H, Rothenbacher D, Weck MN. Epidemiologic findings on serologically defined chronic atrophic gastritis strongly depend on the choice of the cutoff-value. Int. J. Cancer. 2007;121:2782–2786. doi: 10.1002/ijc.22992. [DOI] [PubMed] [Google Scholar]
- 2.Song H, et al. Incidence of gastric cancer among patients with gastric precancerous lesions: observational cohort study in a low risk Western population. BMJ. 2015;351:h3867. doi: 10.1136/bmj.h3867. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Chen XZ, et al. Association of helicobacter pylori infection and chronic atrophic gastritis with risk of colonic, pancreatic and gastric cancer: A ten-year follow-up of the ESTHER cohort study. Oncotarget. 2016;7:17182–17193. doi: 10.18632/oncotarget.7946. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Ikeda F, et al. Combination of Helicobacter pylori Antibody and Serum Pepsinogen as a Good Predictive Tool of Gastric Cancer Incidence: 20-Year Prospective Data From the Hisayama Study. J. Epidemiol. 2016;26:629–636. doi: 10.2188/jea.JE20150258. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Digestive Endoscopy Group of Chinese Medical Association and Oncologic Endoscopy Committee of Chinese Anti-Cancer Association. China Consensus on Early Gastric Cancer Screening, Endoscopic Diagnosis and Treatment (2014. 4, Changsha). Chin J Gastroenterol. 19, 408–427. (Chinese) (2014).
- 6.Malfertheiner P, et al. Management of Helicobacter pylori infection–the Maastricht IV/Florence Consensus Report. Gut. 2012;61:646–664. doi: 10.1136/gutjnl-2012-302084. [DOI] [PubMed] [Google Scholar]
- 7.Chen XZ, Zhang WH, Hu JK. A difficulty in improving population survival outcome of gastric cancer in mainland China: low proportion of early diseases. Med. Oncol. 2014;31:315. doi: 10.1007/s12032-014-0315-y. [DOI] [PubMed] [Google Scholar]
- 8.Chen XZ, Hu JK, Yang K, Wang L, Lu QC. Short-term evaluation of laparoscopy-assisted distal gastrectomy for predictive early gastric cancer: a meta-analysis of randomized controlled trials. Surg. Laparosc. Endosc. Percutan Tech. 2009;19:277–284. doi: 10.1097/SLE.0b013e3181b080d3. [DOI] [PubMed] [Google Scholar]
- 9.Wang R, Chen XZ. High mortality from hepatic, gastric and esophageal cancers in mainland China: 40 years of experience and development. Clin. Res. Hepatol. Gastroenterol. 2014;38:751–756. doi: 10.1016/j.clinre.2014.04.014. [DOI] [PubMed] [Google Scholar]
- 10.Chen XZ, Liu Y, Wang R, Zhang WH, Hu JK. Improvement of cancer control in mainland China: epidemiological profiles during the 2004–10 National Cancer Prevention and Control Program. Lancet. 2016;388:S40. doi: 10.1016/S0140-6736(16)31967-5. [DOI] [Google Scholar]
- 11.Yang K, et al. Strategies to improve treatment outcome in gastric cancer: a retrospective analysis of patients from two high-volume hospitals in Korea and China. Oncotarget. 2016;7:44660–44675. doi: 10.18632/oncotarget.9378. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Miki K, Urita Y. Using serum pepsinogens wisely in a clinical practice. J. Dig. Dis. 2007;8:8–14. doi: 10.1111/j.1443-9573.2007.00278.x. [DOI] [PubMed] [Google Scholar]
- 13.Bang CS, Lee JJ, Baik GH. Prediction of Chronic Atrophic Gastritis and Gastric Neoplasms by Serum Pepsinogen Assay: A Systematic Review and Meta-Analysis of Diagnostic Test Accuracy. J. Clin. Med. 2019;8:E657. doi: 10.3390/jcm8050657. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Adamu MA, Weck MN, Rothenbacher D, Brenner H. Incidence and risk factors for the development of chronic atrophic gastritis: five year follow-up of a population-based cohort study. Int. J. Cancer. 2011;128:1652–1658. doi: 10.1002/ijc.25476. [DOI] [PubMed] [Google Scholar]
- 15.Wang X, et al. The correlation between histological gastritis staging- ‘OLGA/OLGIM’ and serum pepsinogen test in assessment of gastric atrophy/intestinal metaplasia in China. Scand. J. Gastroenterol. 2017;52:822–827. doi: 10.1080/00365521.2017.1315739. [DOI] [PubMed] [Google Scholar]
- 16.Lee JY, et al. Correlations among endoscopic, histologic and serologic diagnoses for the assessment of atrophic gastritis. J. Cancer Prev. 2014;19:47–55. doi: 10.15430/JCP.2014.19.1.47. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Fock KM, et al. Asia-Pacific consensus guidelines on gastric cancer prevention. J. Gastroenterol. Hepatol. 2008;23:351–365. doi: 10.1111/j.1440-1746.2008.05314.x. [DOI] [PubMed] [Google Scholar]
- 18.Rehfeld JF. The new biology of gastrointestinal hormones. Physiol. Rev. 1998;78:1087–1108. doi: 10.1152/physrev.1998.78.4.1087. [DOI] [PubMed] [Google Scholar]
- 19.Sipponen P, et al. Atrophic Gastritis Serum Levels of Amidated Gastrin-17 and Pepsinogen I in Atrophic Gastritis: An Observational Case-Control Study. Scand. J. Gastroenterology. 2009;37:785–791. doi: 10.1080/gas.37.7.785.791. [DOI] [PubMed] [Google Scholar]
- 20.Sun L, et al. A comprehensive evaluation of fasting serum gastrin-17 as a predictor of diseased stomach in Chinese population. Scand. J. Gastroenterol. 2014;49:1164–1172. doi: 10.3109/00365521.2014.950693. [DOI] [PubMed] [Google Scholar]
- 21.Rozengurt E, Walsh JH. Gastrin, CCK, signaling, and cancer. Annu. Rev. Physiol. 2001;63:49–76. doi: 10.1146/annurev.physiol.63.1.49. [DOI] [PubMed] [Google Scholar]
- 22.Wang X, et al. The Diagnostic Value of Gastrin-17 Detection in Atrophic Gastritis: A Meta-Analysis. Med. 2016;95:e3599. doi: 10.1097/MD.0000000000003599. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Yoshida T, et al. 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. doi: 10.1002/ijc.28470. [DOI] [PubMed] [Google Scholar]
- 24.Tu H, et al. A Serological Biopsy Using Five Stomach-Specific Circulating Biomarkers for Gastric Cancer Risk Assessment: A Multi-Phase Study. Am. J. Gastroenterol. 2017;112:704–715. doi: 10.1038/ajg.2017.55. [DOI] [PubMed] [Google Scholar]
- 25.Roman LD, et al. Prevalence of H. pylori Infection and Atrophic Gastritis in a Population-based Screening with Serum Biomarker Panel (GastroPanel(R)) in St. Petersburg. Anticancer. Res. 2016;36:4129–4138. [PubMed] [Google Scholar]
- 26.Benberin V, et al. Prevalence of H. pylori infection and atrophic gastritis among symptomatic and dyspeptic adults in Kazakhstan. A hospital-based screening study using a panel of serum biomarkers. Anticancer. Res. 2013;33:4595–4602. [PubMed] [Google Scholar]
- 27.Ebule IA, Longdoh AN, Paloheimo IL. Helicobacter pylori infection and atrophic gastritis. Afr. Health Sci. 2013;13:112–117. doi: 10.4314/ahs.v13i1.15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Joo YE, et al. Prevalence and risk factors of atrophic gastritis and intestinal metaplasia: a nationwide multicenter prospective study in Korea. Gut Liver. 2013;7:303–310. doi: 10.5009/gnl.2013.7.3.303. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Song H, et al. Increase in the Prevalence of Atrophic Gastritis Among Adults Age 35 to 44 Years Old in Northern Sweden Between 1990 and 2009. Clin. Gastroenterol. Hepatol. 2015;13:1592–1600 e1591. doi: 10.1016/j.cgh.2015.04.001. [DOI] [PubMed] [Google Scholar]
- 30.Wang R, Zhang MG, Chen XZ, Wu H. Risk population of Helicobacter pylori infection among Han and Tibetan ethnicities in western China: a cross-sectional, longitudinal epidemiological study. Lancet. 2016;388:S17. doi: 10.1016/S0140-6736(16)31944-4. [DOI] [Google Scholar]
- 31.Zheng KC, et al. Serum pepsinogens, gastrin-17 and Helicobacter pylori antibody in the residents of two cities in china with distinct mortality rates of gastric cancer. Tohoku J. Exp. Med. 2012;228:289–294. doi: 10.1620/tjem.228.289. [DOI] [PubMed] [Google Scholar]
- 32.Sipponen P, Harkonen M, Alanko A, Suovaniemi O. Diagnosis of atrophic gastritis from a serum sample. Clin. Lab. 2002;48:505–515. [PubMed] [Google Scholar]
- 33.Vaananen H, 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. 2003;15:885–891. doi: 10.1097/00042737-200308000-00009. [DOI] [PubMed] [Google Scholar]
- 34.McNicholl AG, et al. Accuracy of GastroPanel for the diagnosis of atrophic gastritis. Eur. J. Gastroenterol. Hepatol. 2014;26:941–948. doi: 10.1097/MEG.0000000000000132. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Zagari, R. M. et al. 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). [DOI] [PubMed]
- 36.Syrjanen K. A Panel of Serum Biomarkers (GastroPanel(R)) in Non-invasive Diagnosis of Atrophic Gastritis. Systematic Review and Meta-analysis. Anticancer. Res. 2016;36:5133–5144. doi: 10.21873/anticanres.11083. [DOI] [PubMed] [Google Scholar]
- 37.Chen XZ, et al. Correlation between serum CA724 and gastric cancer: multiple analyses based on Chinese population. Mol. Biol. Rep. 2012;39:9031–9039. doi: 10.1007/s11033-012-1774-x. [DOI] [PubMed] [Google Scholar]
- 38.Chen XZ, et al. Associations between serum CA724 and HER2 overexpression among stage II-III resectable gastric cancer patients: an observational study. Oncotarget. 2016;7:23647–23657. doi: 10.18632/oncotarget.8145. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Wang R, Liu K, Chen XZ. SIGES research group. Associations between gastric cancer risk and virus infection other than Epstein-Barr virus: The protocol of a systematic review and meta-analysis based on epidemiological studies. Med. 2019;98:e16708. doi: 10.1097/MD.0000000000016708. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Chen XZ, Chen H, Castro FA, Hu JK, Brenner H. Epstein-Barr virus infection and gastric cancer: a systematic review. Med. 2015;94:e792. doi: 10.1097/MD.0000000000000792. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Chen XZ, Wang R, Hu JK. Hepatitis B virus infection and gastric cancer risk: pitfalls in the potential association. Br. J. Cancer. 2015;112:1844. doi: 10.1038/bjc.2015.161. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Edkins JS. The chemical mechanism of gastric secretion. J. Physiol. 1906;34:133–144. doi: 10.1113/jphysiol.1906.sp001146. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Smith AM, Watson SA. Review article: gastrin and colorectal cancer. Aliment. Pharmacol. Ther. 2000;14:1231–1247. doi: 10.1046/j.1365-2036.2000.00842.x. [DOI] [PubMed] [Google Scholar]
- 44.Loong TH, et al. Serum pepsinogen and gastrin-17 as potential biomarkers for pre-malignant lesions in the gastric corpus. Biomed. Rep. 2017;7:460–468. doi: 10.3892/br.2017.985. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Wu KC, et al. Diagnosis of atrophic body gastritis in Chinese patients by measuring serum pepsinogen. Chin. J. Dig. Dis. 2004;5:22–27. doi: 10.1111/j.1443-9573.2004.00148.x. [DOI] [PubMed] [Google Scholar]
- 46.Cao Q, Ran ZH, Xiao SD. Screening of atrophic gastritis and gastric cancer by serum pepsinogen, gastrin-17 and Helicobacter pylori immunoglobulin G antibodies. J. Dig. Dis. 2007;8:15–22. doi: 10.1111/j.1443-9573.2007.00271.x. [DOI] [PubMed] [Google Scholar]
- 47.Yu G, Wang GX, Wang HG, Mo FF, Tang BB. The value of detecting pepsinogen and gastrin-17 levels in serum for pre-cancerous lesion screening in gastric cancer. Neoplasma. 2019;66:637–640. doi: 10.4149/neo_2018_180825N647. [DOI] [PubMed] [Google Scholar]
- 48.Agreus L, et al. Clinical use of proton-pump inhibitors but not H2-blockers or antacid/alginates raises the serum levels of amidated gastrin-17, pepsinogen I and pepsinogen II in a random adult population. Scand. J. Gastroenterol. 2009;44:564–570. doi: 10.1080/00365520902745062. [DOI] [PubMed] [Google Scholar]
- 49.Chen W, et al. Cancer incidence and mortality in China in 2013: an analysis based on urbanization level. Chin. J. Cancer Res. 2017;29:1–10. doi: 10.21147/j.issn.1000-9604.2017.01.01. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.