1. Introduction
This article describes the diagnosis of gastric cancer risk with DNA methylation as an indicator, using gastric mucosa tissue from endoscopic biopsy, which has been studied by the authors as a molecular biological gastric cancer risk marker. Also discussed is the significance of serum pepsinogen (PG) as a marker of gastric cancer risk, as recently reported by the authors, and discusses the groups at high risk for gastric cancer based on more detailed evaluation of
2. Aberrant DNA methylation in chronic gastritis and application of gastric cancer risk diagnosis
2.1. Concept of DNA methylation
Genetic defects in cancer include both abnormalities in genetic makeup, such as mutations or chromosomal deletions, and epigenetic abnormalities. Deoxyribonucleic acid (DNA) methylation is one type of epigenetic process. DNA methylation occurs physiologically, and is observed in CpG sites where guanine (G) follows cytosine (C) in the gene sequence. CpG sites exist with a low frequency in the genome, but there are exceptional regions where CpG sites are clustered, called CpG islands (CGI). When a CGI is in a gene promoter region, transcription to messenger ribonucleic acid (mRNA) of downstream genes is strongly inhibited (silencing) if that entire CGI is methylated. DNA methylation, along with mutations and chromosomal deletions, is a major factor in the gene inactivation in many cancers [27-29].
Cancer cells show lower methylation of the entire genome and more localized high methylation than normal cells. Low methylation of the entire genome contributes to carcinogenesis through elicitation of genomic instability [30]. Localized high methylation means abnormal methylation in certain CGIs among CGIs that are not normally methylated. Elicitation of high methylation in promoter region CGIs of tumor suppressor genes causes inactivation of that gene. This elicits cell cycle or proliferation signal abnormalities and accumulation of mutations, and contributes to the onset and progression of cancer.
In gastric cancer and other gastrointestinal cancers, silencing of many important tumor suppressor genes has been reported. In gastric cancer in particular, cadherin 1 (
2.2. Contribution of aberrant DNA methylation in carcinogenesis
Mutations in tumor suppressor genes are a genetic abnormality, and are a cause (driver) of the onset and progression of cancer. In addition, it has been found that many secondary mutations (passengers) are also present in cancer cells with monoclonal proliferation of these cancer cells [32]. Epigenetic abnormalities in DNA methylation play a large role in gastric cancer, and similarly to genetic abnormalities, DNA methylation of tumor suppressor genes can also be a driver (driver methylation) of carcinogenesis. In addition, it has been shown that aberrant methylation in cancer cells also occurs in numerous genes other than tumor suppressor genes (passenger methylation) [33]. Many genes with passenger methylation are genes that originally have low levels of transcription or no transcription and are thought to be an accompanying phenomenon to cancer development. Such aberrant DNA methylation in genes is seen in cancer cells, and it has also been shown to be elicited in non-cancerous tissue as well. Numerous studies have thus been conducted on this topic.
2.3. Induction of aberrant DNA methylation in H. pylori -related chronic gastritis
In gastrointestinal organs, precancerous conditions are closely related to chronic infection from viral or bacterial infections [34]. Chronic inflammation has also been shown to be an important inducing factor for aberrant DNA methylation [35]. For example, greater accumulation of aberrant DNA methylation is seen in liver tissue of patients with chronic hepatitis C, which is a background factor for hepatocellular carcinoma, than in normal liver tissue [36]. High-level aberrant DNA methylation exists in colon mucosa tissue of patients with ulcerative colitis, which is a background factor for colon cancer [37]. In the pancreas as well, analysis of endoscopically collected pancreatic juice showed accumulation of aberrant DNA methylation associated with the level of abnormality on pancreatic duct images [38].
When evaluating aberrant DNA methylation in non-cancerous regions, it is extremely important to be mindful of the differences between cancerous and non-cancerous tissue [39]. In non-cancerous tissue, which is polyclonal, quantitative evaluation that asks the question “What is the proportion of the existence of aberrant DNA methylation in specific genes?” is important. In other words, measuring the proportion of molecules with aberrant DNA methylation in non-cancerous specimens (DNA methylation level) and estimating the proportion of cells in which aberrant DNA methylation has been induced will lead to accurate evaluation of aberrant DNA methylation in non-cancerous regions. Therefore, quantitative analysis of methylation levels is necessary to evaluate aberrant DNA methylation in the gastric mucosae, a non-cancerous region. Quantitative methylation-specific polymerase chain reaction (MSP) is a very effective means of resolving such problems [40].
The authors conducted a detailed investigation with quantitative MSP to evaluate aberrant DNA methylation in

Figure 1.
Relationship between
Mean methylation level of cyclin-dependent kinase inhibitor 2A (
2.4. Hypomethylation of repetitive elements in H. pylori -infected gastric mucosae
Global hypomethylation during gastric carcinogenesis remains unclear, not only when but also where in the genome it takes place. Repetitive elements such as LINE, Alu, and Satα, which occupy some 40% of the entire genome, have abundant CpG and a physiologically high DNA methylation state in normal cells. In cancer cells, however, all of these repetitive elements have a low methylation state. As a result, the overall genome has low methylation (low total amount of 5-methylcytosine), which is thought to lead to genome instability. In
2.5. Accumulation of aberrant DNA methylation in gastric mucosae and gastric cancer risk
The DNA methylation levels of gastric mucosae of healthy individuals and non-cancerous gastric mucosae of gastric cancer patients were investigated with respect to the relationship between aberrant DNA methylation and gastric cancer risk (Fig. 1). The results showed that while the methylation levels were high and there were no significant differences between those who were positive for
As shown above, passenger genes and microRNA genes are methylated in many cells in gastric mucosae by
2.6. Progress of gastric mucosae DNA methylation level and gastric cancer risk diagnosis
A model such as in Fig. 2 is assumed if the DNA methylation that disappeared with

Figure 2.
Model of the course of DNA methylation in
DNA methylation is assumed to include temporary methylation, which is induced only during the time
3. Identification of gastric cancer risk group by serum PG test
3.1. Evaluation of H. pylori -related chronic gastritis by PG test
PG is an inactive precursor of the digestive enzyme pepsin produced exclusively in the stomach. Immunologically, there are two isoenzymes [59]. PG I is produced by chief cells and mucous neck cells of the fundic gland region. PG II, in addition to chief cells and mucous neck cells, is produced in the cardiac glands, pyloric glands and Brunner’s glands, with producing cells located over a wide range from the stomach through the duodenum. The majority of PG produced (about 99%) is secreted in the gastric lumen and acts as a digestive enzyme, but a very small amount of PG (about 1%) is also located in the blood and can be measured and evaluated as serum PG. There is general agreement that serum PG levels reflect the morphological and functional status of the stomach mucosa [60, 61].
When the gland margin elevates with the progression of gastric mucosal atrophy diagnosed with chromoendoscopy using Congo red, a high correlation is seen in the incremental decrease in serum PG I levels and PG I/II ratio [62]. Thus, by measuring serum PG I levels and PG I/II ratio, it is possible to objectively evaluate the progress of CAG, which is the bed where gastric cancer develops [63]. In addition, elevated serum PG I and PG II levels and decreased PG I/II ratio are observed at the time of
Various criteria are used in the serum PG test. As criteria for the purpose of gastric cancer screening, a combination of PG I ≤70 ng/ml and PG I/II of ≤3.0, the reference value by Miki et al., has generally been adopted (PG index 1+) [63, 65]. When levels below the reference value are observed, the PG test is judged to be positive. In addition to this reference value, criteria such as PG I ≤50 ng/ml and PG I/II ratio ≤3.0 (PG index 2+), or PG I ≤30 ng/ml and PG I/II ratio ≤2.0 (PG index 3+), are the main criteria used to identify more highly advanced CAG. Since 1992, when PG assay kits became commercially available, a number of screening services provided by workplace or community health services adopted this serum test as a filter test [21, 66-71]. However, the long-term prognosis of subjects with extensive CAG identified by PG filter test is not fully known.
3.2. Accuracy of detecting gastric cancer using the serum PG test
Using a cohort of healthy middle-aged males, the authors conducted a 10-year follow-up survey of gastric cancer development [72-74]. Based on the results, the accuracy of each criterion for the serum PG test for gastric cancer with onset in the observation period was investigated [73]. With the best reference value (PG index 1+), sensitivity was 58.7%, specificity was 73.4%, and the positive predictive value was 2.6%. The low value for the overall sensitivity was conspicuous. Compared with a report from a meta-analysis of the accuracy of the PG test [75], these results were obviously poorer, with the low value for sensitivity in particular standing out.
One reason for this low sensitivity is thought to be that the patients in past reports of the above-mentioned meta-analysis were groups in which analysis had been performed soon after the start of the PG test and conventional stomach examinations by barium stomach x-ray. In other words, the subjects were groups with gastric cancer prevalence that did not fit well with conventional methods. The low sensitivity in the authors’ investigation was thought to be because patients who developed gastric cancer soon after the start of the PG test were excluded, and the observations were of individuals who developed cancer over a longer period of 10 years. From the results of this study, even when performed with the PG test criteria having the best sensitivity, barium stomach x-ray test or some other type of stomach examination was thought to be essential, even for PG test-negative patients, to avoid overlooking gastric cancer, as about 40% of developed gastric cancer was excluded from the subjects of the accuracy test.
3.3. Gastric cancer risk in serum PG test-positive group
As one part of an investigation of the natural history of gastric cancer development, the authors investigated the gastric cancer risk in cohorts identified using each of the serum PG tests [73]. When the subjects were healthy middle-aged males, the annual gastric cancer incidence from the atrophy-negative group was 0.07%, when compared with 0.28% in the PG index 1+ group, 0.32% in the PG index 2+ group, and 0.42% in the PG index 3+ group. The gastric cancer incidence rose incrementally and significantly with the progression of CAG (Fig. 3). The above results thus show that the PG test-positive group is a high risk group for gastric cancer, and even if the development of gastric cancer is not seen at this time, the possibility that they will be affected with gastric cancer in the future is high, and therefore these subjects should continue to undergo detailed examinations and be carefully observed. Thus, the results show again that the PG test is useful as a marker for high risk of gastric cancer.

Figure 3.
Kaplan-Meier analysis of gastric cancer development in subjects classified using the criteria of the serum PG test
The annual incidence of gastric cancer in cohorts identified using each serum PG test cut-off value (PG I ≤70 ng/ml and PG I/II of ≤3.0 (PG index 1+), PG I ≤50 ng/ml and PG I/II ratio ≤3.0 (PG index 2+), or PG I ≤30 ng/ml and PG I/II ratio ≤2.0 (PG index 3+)) in healthy middle-aged males is shown. Gastric cancer incidence increases in a stepwise fashion and significantly with the progression of chronic atrophic gastritis.
3.4. Identification of high risk for gastric cancer based on staging of H. pylori -related chronic gastritis
The relationship between the risk of developing gastric cancer and
The results of a 10-year follow-up survey showed that the annual gastric cancer incidence in each group with this staging was 0% in Group A (no occurrence of gastric cancer in 10 years in this group), 0.11% in Group B (1 in 1,000 individuals developed gastric cancer each year), 0.24% in Group C (1 in 400 individuals developed gastric cancer each year) and 1.31% in Group D (1 in about 80 individuals developed gastric cancer each year). Similar results were observed in a study by Watabe et al.[76]. The above shows that gastric cancer incidence rises incrementally together with the stage progression of

Figure 4.
Gastric cancer risk based on
3.5. Gastric cancer risk in serum PG test-negative group
Even though the serum PG test was shown to be a very useful test as a marker of gastric cancer risk, gastric cancer (particularly diffuse type gastric cancer) was seen in the PG test-negative group. In the authors’ investigation, about 40% of gastric cancers were found to be PG test-negative gastric cancers, even using the PG test criteria (PG index 1+) that are thought to have the best balance for test accuracy. This needs to be kept fully in mind when diagnosing gastric cancer risk with the serum PG test. Even in the PG test-negative group, there is thought to be one group in which gastric cancer occurs with a high frequency in Group B of the
Reviewing the PG-negative group based on this result, it was found to consist of three groups with different risks. Specifically, the PG test-negative group was further divided into three groups: Group α (serum PG I ≤70 ng/ml and PG I/II >3); Group β (serum PG I >70 ng/ml and PG I/II >3); and Group γ (serum PG I >70 ng/ml and PG I/II ≤3). The gastric cancer incidence in Group γ, which showed high serum PG II levels and is thought to have strong inflammation in the gastric mucosae, reached 0.2%, meaning this was a new high-risk group, in which mainly undifferentiated gastric cancer occurs (Fig. 5) [73]. Although the percentage in Group γ was not particularly high in the PG test-negative group, it is a subgroup that should be kept fully in mind. Furthermore, similarly to serum PG II levels, the group with high anti-

Figure 5.
Group determination based on serum PG test and gastric cancer incidence
Schematic presentation of the atrophy-positive criterion and pepsinogen index, which are widely used for the PG filter test in Japan. PG index is used to detect subjects with severe gastric atrophy by subdividing the atrophy-positive criterion identified by PG I of ≤70 ng/mL and PG I/II ratio of ≤3.0 into three groups (PG index 1+ to 3+). Gastric cancer incidence increases in a stepwise fashion and significantly with the progression of chronic atrophic gastritis. In addition, the figure illustrates three subgroups, groups α, β, and γ, in the atrophy-negative criterion. The gastric cancer incidence in Group γ reached 0.2%, meaning this was a new high-risk group, in which mainly undifferentiated gastric cancer occurs.
3.6. Points to bear in mind in diagnosing gastric cancer risk from serum PG test
In the PG test-negative group, the development of cancer in Group A in the
4. Conclusion
Diagnosis of gastric cancer risk using the accumulation of aberrant DNA methylation in the gastric mucosae in endoscopic biopsy tissue and identification of high-risk gastric cancer groups based on serum PG test is discussed (Fig. 6). More effective measures for the prevention of gastric cancer may be possible with specific predictions of gastric cancer risk in individuals based on the natural history of

Figure 6.
Schematic presentation of gastric cancer risk diagnosis based on
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