Literature DB >> 34449868

Lifetime incidence risk for gastric cancer in the Helicobacter pylori-infected and uninfected population in Japan: A Monte Carlo simulation study.

Sayo Kawai1, Chaochen Wang1, Yingsong Lin1, Tae Sasakabe1, Masumi Okuda2, Shogo Kikuchi1.   

Abstract

Helicobacter pylori (H. pylori) infection is considered the leading cause of gastric cancer. Gastric cancer is currently a common cancer with high incidence and mortality rates, but it is expected that the incidence rate will gradually decrease as the H. pylori infection prevalence decreases in the future. When evaluating the effectiveness of gastric cancer prevention strategies, it is essential to note the differences in long-term cumulative risks between H. pylori-infected and uninfected populations, but this has not yet been precisely evaluated. In our study, we aimed to estimate the cumulative incidence risks of developing gastric cancer from birth to 85 years among H. pylori-infected and uninfected populations by using population-based cancer registry data and birth year-specific H. pylori infection prevalence rates. Death from gastric cancer and other causes of death were considered in the estimations of the adjusted cumulative incidence risks stratified by sex and H. pylori infection status. After performing 5000 Monte Carlo simulations with repeated random sampling using observed cancer incidence in selected three prefectures (Fukui, Nagasaki, Yamagata) of prefectural population-based cancer registry in Japan, the mean adjusted cumulative incidence risk for gastric cancer in the H. pylori-infected population was 17.0% for males and 7.7% for females and 1.0% for males and 0.5% for females in the uninfected population. These results calculated with Japanese cancer registry data may be useful in considering and evaluating future prevention strategies for gastric cancer in Japan.
© 2021 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC.

Entities:  

Keywords:  Helicobacter pylori; cancer prevention strategies; cancer registry; cumulative incidence risk; gastric cancer

Mesh:

Year:  2021        PMID: 34449868      PMCID: PMC9292274          DOI: 10.1002/ijc.33773

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.316


confidence interval equation Helicobacter pylori International Classification of Diseases interquartile range Monitoring of Cancer Incidence in Japan risk ratio Surveillance, Epidemiology and End Results

INTRODUCTION

Gastric cancer is the fifth most frequent cancer and the fourth most common cause of cancer deaths worldwide. , Helicobacter pylori is known as the leading risk factor for gastric cancer. , , The virulence or carcinogenicity of H. pylori depends on the strain. East Asian type H. pylori strains, which prevail in Japan, have a stronger carcinogenic effect than European type H. pylori strains. In Japan, age‐standardized gastric cancer incidence and mortality have been decreasing over the past decades. The decrease is thought to be mainly because of decreasing H. pylori prevalence. , Gastric cancer incidence in those with H. pylori infection may be consistent unless a remarkable change occurs in the genetic background of the Japanese population or the H. pylori strains. Thus, the lifetime cumulative incidence risk for gastric cancer among those with H. pylori infection in a specific region is a good marker for the virulence of the H. pylori strains prevailing in that region and might help predict the future gastric cancer situation. We adopted the lifetime cumulative incidence risk instead of relative risk, mainly for the following reasons. Relative risk provides limited information on the absolute value of the risk. In contrast, lifetime cumulative incidence risk can show the absolute value concretely, which helps to directly predict an individual's gastric cancer risk in the future, and is useful and convenient in calculating the costs and benefits of a gastric cancer prevention program. Utilizing the causal relationship between H. pylori and the development of gastric cancer, several preventive strategies for gastric cancer have been put into practice. For example, several local Japanese governments have been practicing the “test and treat” approach for H. pylori infection among senior or junior high school students to prevent the future development of gastric cancer in not only the students themselves but also the next generations because the infection route of H. pylori in Japan is mainly from parents to their children. , When considering the effectiveness of these prevention strategies for gastric cancer, especially in cost‐effectiveness analyses, it is inevitable that the lifetime cumulative incidence risk of the H. pylori‐infected population in the region needs to be considered, and the risk ratio needs to be calculated depending on the presence or absence of infection. Nevertheless, few studies to date have directly evaluated these risks in H. pylori‐infected subjects, and the current national gastric cancer strategies are based on cancer statistics that do not consider H. pylori infection, including lifetime cumulative risk for gastric cancer. Our study aimed to calculate the long‐term cumulative risk of developing gastric cancer among H. pylori‐infected and uninfected Japanese populations using existing cancer registry data.

MATERIAL AND METHODS

In estimating the cumulative gastric cancer incidence risk, the distribution and mean of the estimated values were calculated by performing 5000 Monte Carlo simulations under the conditions described below. The simulation was performed using R version 4.0.3 (http://www.R-project.org/), and subsequent statistical analyses were performed with Stata16 (StataCorp LLC, Texas).

Source of gastric cancer incidence and mortality data

Japan consists of 47 prefectures, and each prefecture has collected and registered data on cancer patients. Until the start of the national cancer registry in 2016, the accuracy of regional cancer registries varied because the cooperation among the medical institutions in each prefecture differed. Gastric cancer (ICD‐10 code C16) incidence rates were obtained from observed cancer incidence of prefectural population‐based cancer registry in selected three prefectures (Fukui, Nagasaki, Yamagata) for trend analysis from 1985 to 2012 (Source A), , , national estimates of cancer incidence in Japan based on regional cancer registries from 9 to 32 prefectures from 1985 to 2012 (Source B), and Japan's national cancer registry established by the Act on Promotion of Cancer Registration (Law No. 111, issued on December 13, 2013) from 2016 to 2017 (Source C). Source A has been recommended for assessments of the year‐to‐year differences in the cancer incidence rate, but there are prefectures that are thought to have a relatively high prevalence of gastric cancer among the included prefectures. Therefore, we mainly performed the calculation using Source A, and Sources B and C were used to compare the resulting estimations. The data of all‐cause and gastric cancer (ICD‐10 code C16) death rates (per 100 000 population) from the 2018 Vital Statistics of Japan were used for adjustments.

Estimation of age‐specific infection prevalence

For the calculation of each gastric cancer incidence rate at a certain age among the H. pylori‐infected population, we used birth‐year specific H. pylori infection rates estimated from our previous meta‐analysis. According to the meta‐analysis, the prevalence of H. pylori infection in the population born in 1908 is lower than that in those born in 1928, which seems unnatural. The reasons for this may be the spontaneous disappearance of H. pylori due to the progression of gastric mucosal atrophy, which is common in the elderly population, , and the infection tests for those born before 1928 were performed when they became elderly. Since it was difficult to know the real H. pylori prevalence in this population, we hypothesized that the prevalence of H. pylori among the population born between 1908 and 1928 was uniformly distributed between 60% and 100%.

Estimation of gastric cancer incidence rates among specific populations

In addition to the distribution pattern of H. pylori prevalence, we hypothesized that the risk ratios of developing gastric cancer in H. pylori‐infected and uninfected populations were between 3 and 50. Uniformly distributed risk ratios were adopted in each simulation. The calculation formula used in the simulation is as follows. We estimated the gastric cancer incidence rate () at each age x by birth year based on the observed gastric cancer incidence rates from the three prefecture registries from 1985 to 2012. Since gastric cancer incidence rates from the cancer registries were obtained annually for the 5‐year age classes (), we estimated the incidence rate for each age x () as follows: where  = 5, 10, 15, …, 80, 85 and q = −2, −1, 0, 1, 2. For ages 0 to 2, where  = 0,  = 0 and q = 0, 1, 2. The groups of gastric cancer incidence rates for age x among the H. pylori‐infected () and uninfected () populations was calculated based on the predicted prevalence of the H. pylori infection rate () for each birth year y from 1908 to 2003. Based on the hypothesized gastric cancer risk ratios (uniformly distributed between 3 and 50) between those with and without H. pylori infection, and were calculated as follows: Since multiple and values were calculated for each age x from 0 to 85 years, their mean values and were used for further calculations. In practice, the number of values calculated for each age x, except for ages ≤8 or ≥78, was 28 (Figure 1).
FIGURE 1

Example of a simulation of gastric cancer prevalence in the male Helicobacter pylori‐infected population

Example of a simulation of gastric cancer prevalence in the male Helicobacter pylori‐infected population

Estimation of cumulative gastric cancer risk

Then, we estimated the two cumulative incidence risk values for gastric cancer among H. pylori‐infected and uninfected populations for each sex. The crude cumulative risks were calculated using the same method as described by Schouten et al, and the adjusted cumulative risks, which considered competing causes of death and gastric cancer death and incidence, were also calculated using the same method as described by Wun et al. The calculations were performed under the condition that the risk ratio did not differ depending on age. The crude cumulative incidence risk for gastric cancer from birth through age t (0 ≤ t ≤ 85) among the H. pylori‐infected population () was calculated as follows: The crude cumulative risk among the population with H. pylori infection () was given by Equation (1) with substituted for . The adjusted cumulative incidence risks for gastric cancer was calculated as follows based on a hypothetical cohort of 100 000 individuals. : number alive at the beginning of age x. : all‐cause mortality rate at age x. : gastric cancer mortality rate at age x. : gastric cancer incidence rate at age x among the H. pylori‐infected population. : gastric cancer incidence rate at age x among the uninfected population. : number of gastric cancer‐free population at the beginning of age x. : gastric cancer incidence rate at age x among a gastric cancer‐free population. : number of newly developed gastric cancers through age x among a gastric cancer‐free population. With and defined as 100 000 live births, In the case of the H. pylori‐infected population, was given as follows: Then, the cumulative incidence risk for gastric cancer (the probability of developing gastric cancer) through age t from age j (0 ≤ j < t ≤ 85) among the H. pylori‐infected population without a history of gastric cancer () was calculated as follows: The adjusted cumulative risk among the population without H. pylori infection () was obtained through and given by Equation (2) with substituted for . The above calculation was performed by Monte Carlo simulation randomly 5000 times for each of the three data sources and each sex, and the mean values and 95% confidence intervals (CIs) were calculated. Furthermore, we examined the relationship between the hypothesized risk ratio and the distribution of estimated cumulative risk values.

RESULTS

As a result of 5000 simulations based on selected three prefectures (Fukui, Nagasaki, Yamagata, 1985‐2012) cancer registry (Source A), the crude cumulative risk of developing gastric cancer from birth to 85 years of age among the H. pylori‐infected population was 22.26% (95% CI, 20.63‐23.21) for males and 8.74% (95% CI, 8.07‐9.14) for females. The adjusted cumulative risks estimated by the same data (Source A) were 17.03% (95% CI, 15.73‐17.72) for males and 7.66% (95% CI, 7.05‐8.00) for females. As shown in Figure 2, taking the male population as an example, the simulation's estimated values were not normally distributed and depended on the risk ratio setting. The mean values were slightly lower than the median values. For males, the median was 17.11%, and the interquartile range (IQR) was 16.84% to 17.34%; for females, the median was 7.70%, and the IQR was 7.57% to 7.81%. Among the population without H. pylori infection, the adjusted cumulative incidence risks for gastric cancer from birth to 85 years of age were 1.01% (95% CI, 0.36‐3.76) for males and 0.45% (95% CI, 0.16‐1.70) for females (Table 1). Similar simulations were performed to calculate cumulative incidence risks for gastric cancer among H. pylori‐infected and uninfected males and females based on the other two sources of data (Sources B and C), and their estimated values were slightly lower than those obtained from Source A (Table 1).
FIGURE 2

Scatter plots and histograms of estimated cumulative risk distribution for gastric cancer from 0 to 85 years among Japanese males determined by performing 5000 Monte Carlo simulations when various conditions for Helicobacter pylori infection rate and gastric cancer risk ratio were set. (A), Histogram for the H. pylori‐infected population; (B), scatter plot for the H. pylori‐infected population; (C), histogram for the population without H. pylori infection; (D), scatter plot for the population without H. pylori infection

TABLE 1

Cumulative incidence risks (%) of developing gastric cancer from birth to age 85 among Helicobacter pylori‐infected and uninfected populations (estimated by performing 5000 Monte Carlo simulations using three available data sets)

Gender H. pylori infectionData sources b Mean (95% CI)Estimated value at each percentile points
2.5th percentile25th percentileMedian75th percentile97.5th percentile
MalesPositiveA17.03 (15.73‐17.72)15.7316.8417.1117.3417.72
B15.23 (14.08‐15.83)14.0815.0715.3015.4915.83
C14.87 (13.22‐15.26)13.2214.7815.0815.2015.26
NegativeA1.01 (0.36‐3.76)0.360.460.651.153.76
B0.88 (0.32‐3.39)0.320.400.571.003.39
C0.85 (0.31‐3.17)0.310.400.560.973.17
FemalesPositiveA7.66 (7.05‐8.00)7.057.577.707.818.00
B6.66 (6.14‐6.94)6.146.596.706.786.94
C6.07 (5.36‐6.26)5.366.026.176.236.26
NegativeA0.45 (0.16‐1.70)0.160.200.290.521.70
B0.39 (0.14‐1.48)0.140.180.250.441.48
C0.35 (0.13‐1.24)0.130.160.230.401.24

Cumulative gastric cancer incidence risks adjusted for all cause of deaths and gastric cancer deaths and incidences.

Data source: A, observed cancer incidence in selected three prefectures (Fukui, Nagasaki, Yamagata) of prefectural population‐based cancer registry in Japan (1985‐2012); B, national estimates of cancer incidence based on prefectural population‐based cancer registries of 9 to 32 prefectures in Japan (1985‐2012); C, Japan's national cancer registry (2016‐2017).

Scatter plots and histograms of estimated cumulative risk distribution for gastric cancer from 0 to 85 years among Japanese males determined by performing 5000 Monte Carlo simulations when various conditions for Helicobacter pylori infection rate and gastric cancer risk ratio were set. (A), Histogram for the H. pylori‐infected population; (B), scatter plot for the H. pylori‐infected population; (C), histogram for the population without H. pylori infection; (D), scatter plot for the population without H. pylori infection Cumulative incidence risks (%) of developing gastric cancer from birth to age 85 among Helicobacter pylori‐infected and uninfected populations (estimated by performing 5000 Monte Carlo simulations using three available data sets) Cumulative gastric cancer incidence risks adjusted for all cause of deaths and gastric cancer deaths and incidences. Data source: A, observed cancer incidence in selected three prefectures (Fukui, Nagasaki, Yamagata) of prefectural population‐based cancer registry in Japan (1985‐2012); B, national estimates of cancer incidence based on prefectural population‐based cancer registries of 9 to 32 prefectures in Japan (1985‐2012); C, Japan's national cancer registry (2016‐2017). Table 2 shows the mean of the estimated cumulative incidence risks for gastric cancer based on Monte Carlo simulations at attained ages in certain age groups without gastric cancer among the H. pylori‐infected population. Among all age groups, males who survived without developing gastric cancer until the age of 30 had the highest cumulative incidence risk for gastric cancer at 85. In females, those who survived without gastric cancer until age 20 showed the highest risk at 85. No sex difference was observed under 40 years of age between males and females with or without H. pylori infection, while the H. pylori‐infected male population over 40 years showed a higher gastric cancer incidence. Figure 3 shows the median values and 95% central ranges (within the 2.5th and 97.5th percentiles) of the estimated cumulative incidence risks for gastric cancer from birth to attained age among H. pylori‐infected and uninfected populations based on 5000 Monte Carlo simulations.
TABLE 2

Subsequent cumulative incidence risks for gastric cancer in a gastric cancer‐free population at each age in the Helicobacter pylori‐infected population (estimated by performing 5000 Monte Carlo simulations with a risk ratio of 3 to 50 using the incident rates obtained from selected three prefecture cancer registry data in Japan [1985‐2012])

Gender H. pylori infectionCurrent age (years)Number of gastric cancer‐free population (±SD)Means and 95% central ranges (the 2.5th percentile to 97.5th percentile) of estimated risks at attained ages (years)
40455055606570758085
MalesPositive  0 (at birth)100 0000.36 (0.30‐0.38)0.72 (0.60‐0.75)1.30 (1.12‐1.35)2.30 (2.01‐2.37)3.85 (3.43‐3.96)5.97 (5.37‐6.14)8.59 (7.81‐8.87)11.64 (10.65‐12.04)14.63 (13.47‐15.18)17.03 (15.73‐17.72)
Positive10  99 654 (±0)0.36 (0.30‐0.38)0.72 (0.60‐0.75)1.30 (1.12‐1.35)2.30 (2.02‐2.37)3.86 (3.44‐3.97)5.99 (5.39‐6.16)8.62 (7.84‐8.90)11.68 (10.68‐12.08)14.68 (13.51‐15.23)17.09 (15.78‐17.78)
Positive2099 474 (±1)0.36 (0.29‐0.38)0.71 (0.60‐0.74)1.30 (1.12‐1.34)2.30 (2.02‐2.37)3.86 (3.44‐3.97)5.99 (5.40‐6.16)8.63 (7.85‐8.91)11.70 (10.70‐12.10)14.70 (13.53‐15.25)17.11 (15.80‐17.81)
Positive3098 960 (±6)0.30 (0.25‐0.32)0.66 (0.56‐0.68)1.25 (1.08‐1.29)2.26 (1.99‐2.32)3.82 (3.41‐3.93)5.96 (5.38‐6.14)8.62 (7.84‐8.89)11.70 (10.71‐12.10)14.72 (13.56‐15.27) 17.14 (15.84‐17.84)
Positive4098 042 (±20)0.41 (0.35‐0.42)1.01 (0.88‐1.04)2.02 (1.79‐2.08)3.60 (3.23‐3.70)5.76 (5.22‐5.93)8.44 (7.70‐8.71)11.55 (10.60‐11.95)14.60 (13.46‐15.15)17.05 (15.77‐17.74)
Positive5095 818 (±53)1.19 (1.07‐1.22)2.81 (2.54‐2.88)5.02 (4.57‐5.17)7.76 (7.10‐8.01)10.94 (10.06‐11.33)14.07 (13.00‐14.60)16.57 (15.36‐17.26)
Positive6090 030 (±121)2.75 (2.51‐2.85)5.67 (5.21‐5.88)9.05 (8.36‐9.42)12.38 (11.47‐12.91)15.04 (13.97‐15.73)
Positive7077 301 (±220)4.68 (4.33‐4.91)8.55 (7.92‐8.98)11.65 (10.82‐12.28)
Positive8055 018 (±302)5.39 (4.98‐5.75)
FemalesPositive0 (at birth)100 0000.36 (0.29‐0.38)0.61 (0.51‐0.64)0.94 (0.80‐0.98)1.36 (1.18‐1.41)1.94 (1.70‐1.99)2.67 (2.38‐2.75)3.63 (3.27‐3.75)4.87 (4.43‐5.05)6.30 (5.77‐6.55)7.66 (7.05‐8.00)
Positive1099 680 (±0)0.36 (0.29‐0.38)0.61 (0.51‐0.64)0.95 (0.81‐0.98)1.37 (1.18‐1.41)1.94 (1.71‐2.00)2.67 (2.38‐2.76)3.64 (3.28‐3.76)4.89 (4.44‐5.06)6.32 (5.79‐6.57)7.69 (7.08‐8.02)
Positive2099 567 (±1)0.35 (0.29‐0.37)0.61 (0.51‐0.63)0.94 (0.80‐0.97)1.36 (1.18‐1.41)1.94 (1.70‐1.99)2.67 (2.38‐2.75)3.64 (3.28‐3.75)4.88 (4.44‐5.06)6.32 (5.79‐6.57) 7.69 (7.08‐8.02)
Positive3099 289 (±6)0.29 (0.24‐0.30)0.55 (0.46‐0.57)0.88 (0.76‐0.91)1.30 (1.14‐1.34)1.88 (1.66‐1.93)2.61 (2.34‐2.69)3.58 (3.24‐3.70)4.83 (4.41‐5.01)6.27 (5.76‐6.52)7.65 (7.05‐7.98)
Positive4098 678 (±20)0.30 (0.26‐0.31)0.63 (0.55‐0.65)1.06 (0.94‐1.09)1.64 (1.46‐1.68)2.38 (2.15‐2.45)3.35 (3.05‐3.46)4.61 (4.23‐4.78)6.06 (5.58‐6.30)7.44 (6.89‐7.77)
Positive5097 285 (±42)0.51 (0.45‐0.52)1.09 (0.99‐1.12)1.84 (1.68‐1.90)2.83 (2.60‐2.93)4.11 (3.79‐4.26)5.58 (5.16‐5.81)6.98 (6.48‐7.30)
Positive6094 494 (±70)0.91 (0.83‐0.94)1.92 (1.78‐2.00)3.24 (3.00‐3.38)4.75 (4.42‐4.97)6.20 (5.77‐6.51)
Positive7089 013 (±107)1.64 (1.52‐1.72)3.25 (3.02‐3.42)4.78 (4.45‐5.05)
Positive8077 051 (±156)2.14 (1.99‐2.29)

Cumulative gastric cancer incidence risks adjusted for all cause of deaths and gastric cancer deaths and incidences.

FIGURE 3

Median values and 95% central ranges (within the 2.5th and 97.5th percentiles) of estimated cumulative incidence risks for gastric cancer from birth to attained age among male Helicobacter pylori‐infected and uninfected populations based on 5000 Monte Carlo simulations

Subsequent cumulative incidence risks for gastric cancer in a gastric cancer‐free population at each age in the Helicobacter pylori‐infected population (estimated by performing 5000 Monte Carlo simulations with a risk ratio of 3 to 50 using the incident rates obtained from selected three prefecture cancer registry data in Japan [1985‐2012]) Cumulative gastric cancer incidence risks adjusted for all cause of deaths and gastric cancer deaths and incidences. Median values and 95% central ranges (within the 2.5th and 97.5th percentiles) of estimated cumulative incidence risks for gastric cancer from birth to attained age among male Helicobacter pylori‐infected and uninfected populations based on 5000 Monte Carlo simulations

DISCUSSION

Summary of findings

As shown in Table 1, we calculated the cumulative incidence risks for developing gastric cancer from birth to age 85 among H. pylori‐infected and uninfected populations. In the male population, the mean cumulative incidence risks for gastric cancer were 17.0% for H. pylori‐infected individuals and 1.0% for uninfected individuals. The corresponding risks for females were 7.7% and 0.5%. For the cumulative risk of developing gastric cancer from a certain age to 85, males who survived without developing gastric cancer by age 30 had the highest cumulative risk. Among the female population, those who did not develop gastric cancer by age 20 had the highest cumulative risk. These results may be because there is less gastric cancer among those who die young.

Analysis methods and conditions

Since the relative risk of developing gastric cancer between individuals infected and uninfected with H. pylori is not yet clear, we estimated these values through extensive random simulations calculated from three available data sets. We also ran 20 000 simulations under the same conditions, but the results did not substantially change; therefore, we determined that 5000 iterations would be sufficient. In a Japanese cohort study, the relative risk between those with and without infection exceeded 15, and no incidence was observed in subjects without H. pylori infection, whereas a Swedish study showed a relative risk of approximately 20. Considering that the Japanese H. pylori strain is more virulent than the Swedish strain, the relative risk could possibly be as high as 30 to 50 in the Japanese population. In the main analysis, we set the risk ratio to be distributed between 3 and 50. We also performed calculations after restricting the risk ratios between 3 and 10, accounting for the possibility that the actual relative risk would be small, but the cumulative risks were similar to the main results. Regarding the unnatural change in H. pylori infection rate among people born before 1928, we hypothesized that the prevalence of H. pylori infection among the population born between 1908 and 1928 was uniformly distributed between 60% and 100% because spontaneous disappearance of H. pylori might be common in that age group. Although it is difficult to predict the true prevalence, we reestimated the cumulative risks with a hypothesis of a beta distribution with a median of 85%, 80%, 75% and 70% for age groups divided in 5‐year increments from 1908 to 1928. The risk value calculated by this method (17.27% for the H. pylori‐infected male population) was close to the estimated value based on a hypothesized uniform distribution of 60% to 100%.

Differences in results among data sources

The estimated cumulative incidence risks for gastric cancer calculated from selected three prefectures cancer registry for trend analysis (Source A) was slightly higher than the values calculated based on the other two sources: national estimates of cancer incidence in Japan based on regional cancer registries of 9 to 32 prefectures (Source B) and Japan's national cancer registry (Source C). The accuracy of cancer registries in Japan varied among prefectures in the past, and it is recommended that “high‐quality” data from three prefectures are used when examining year‐to‐year transitions. According to the latest report from the National Cancer Center's “Monitoring of Cancer Incidence in Japan” (MCIJ2015), the age‐standardized incidence rates of gastric cancer (male, female and overall) in Yamagata (63.5 per 100 000 population) and Fukui (54.7 per 100 000 population) were higher than the national average (45.3 per 100 000 population) and that in Nagasaki (43.0 per 100 000 population) was similar. This tendency has not changed for many years. The higher rates calculated in our study, which were from Source A, may be due to the higher accuracy of cancer registries and/or differences in risk factors other than H. pylori infection, as discussed later. Although it is difficult to understand the real effects of these reasons, the results of our study might slightly overestimate the risk value for the whole of Japan.

Comparisons with existing findings

To date, few studies have evaluated the lifetime risk of gastric cancer among the H. pylori‐infected population. The few Japanese studies considering H. pylori infection did not stratify patients by the prevalence of H. pylori. , The reported lifetime cumulative incidence risks for gastric cancer without considering H. pylori infections were 11.4% for males and 5.7% for females. Our results, estimated from the same data source, showed 17.0% in the H. pylori‐infected population, with the risk not exceeding 1.0% in the H. pylori‐uninfected population. From this result, it is clear that a consideration of H. pylori infection is indispensable. According to the cancer statistics from the Surveillance, Epidemiology and End Results (SEER) Program of the United States in 2015 to 2017, lifetime risks for gastric cancer among Asian Pacific/Islander inhabitants were 1.89% in males and 1.30% in females. This can be explained by the fact that the H. pylori prevalence in the United States is much lower than that in Japan. In addition, the weaker virulence of the H. pylori strains prevailing in the United States compared to that of the strains in East Asia, including Japan, may play a role.

Future developments based on the results of our study

Significant differences in the long‐term cumulative incidence risks for gastric cancer between H. pylori‐infected and uninfected populations suggest that tailored gastric cancer prevention strategies are needed. Since the effect of successful eradication of H. pylori infection on future gastric cancer risk has already been clarified, , the risk of gastric cancer in H. pylori‐infected individuals can be predicted in both cases: with and without eradication therapy. In addition, from the results of our study, it is possible to evaluate the effect of preventing parent‐to‐child transmissions of H. pylori infection on reducing the risk of gastric cancer in the next generation.

Study limitations

Because the calculations are based on many postulations and hypotheses, our study has several limitations. First, we assumed that the prevalence of H. pylori infection was determined by the year of birth, and the rate did not change until the age of 85. Most H. pylori infections occur in childhood and therefore, new infections in adulthood are rare. , Although the H. pylori infection rate in childhood is unstable, the effect of variations in the prevalence of H. pylori infection in childhood is negligible on the long‐term cumulative risk because the incidence of gastric cancer in childhood is very low. In the elderly population, persistent infection with H. pylori sometimes causes advanced atrophy of the gastric mucosa, which can cause H. pylori to spontaneously disappear. Some cohort studies have shown that those who experienced spontaneous disappearance of H. pylori had a higher risk for gastric cancer than those with persistent infection, , , seemingly indicating that the risk increased after disappearance. However, we think the spontaneous disappearance of H. pylori exerts little influence on the cumulative risk for gastric cancer. The severity of atrophic gastritis increases with age in H. pylori‐infected patients, and severity shows a positive relationship with gastric cancer risk. , , , , Those with a history of spontaneous disappearance of H. pylori have more severe gastric mucosal atrophy than those with persistent infection. The higher hazard ratio of gastric cancer in those with the spontaneous disappearance of H. pylori in the cohort study may be because those with spontaneous disappearance have a higher risk of developing gastric cancer due to severe gastric mucosal atrophy. Second, we postulated that the risk ratio of developing gastric cancer between H. pylori‐infected and uninfected populations is the same at all ages because no studies have reported such a relationship to date. A few studies have reported relationships of age and the magnitude of H. pylori infection with gastric carcinogenesis. In our previous studies, , the magnitude was more substantial in the younger population. This may be because more severe gastric mucosal atrophy and consequently more spontaneous disappearances of H. pylori occurred in older gastric cancer patients than in younger gastric cancer patients or control subjects. Third, we hypothesized that the mortality rates are the same between H. pylori‐infected and uninfected populations. Since gastric cancer may be the most common cause of H. pylori‐induced death, higher mortality is expected in the H. pylori‐infected population. However, the effect is diminished when the incidence of gastric cancer is treated as a censored variable. Fourth, we did not rule out the impacts of other risk factors for gastric cancer, including smoking. Fifth, we considered the cumulative incidence risk from birth to age 85 as the lifetime cumulative incidence risk here because examinations for gastric cancer, including endoscopy, are performed less frequently for those aged over 85, and the incidence rates in patients of those ages are not necessarily stable or reliable. The average healthy life expectancy is increasing year by year around the world, including in Japan. If stable and reliable data in age groups above 85 years are obtained, the lifetime cumulative incidence risk should be calculated to include ages older than 85.

Conclusion

Based on the considerations above, the estimated values in our study are similar to the actual values. In the future, the incidence of gastric cancer in this population will be expected to decrease steadily as the H. pylori prevalence decreases. Our study showed that the long‐term cumulative risk of gastric cancer differed substantially depending on the presence or absence of H. pylori infection and revealed that the cumulative risk in the population without H. pylori infection was low. These results may help us consider and evaluate prevention strategies for gastric cancer, including what screening programs should be applied in Japan.

CONFLICT OF INTEREST

The authors declare no potential conflict of interests.

ETHICS STATEMENT

Since we used official Japanese statistical data, ethical approval was not required for our study.
  35 in total

1.  Trend analysis of cancer incidence in Japan using data from selected population-based cancer registries.

Authors:  Kota Katanoda; Wakiko Ajiki; Tomohiro Matsuda; Yoshikazu Nishino; Akiko Shibata; Manabu Fujita; Hideaki Tsukuma; Akiko Ioka; Midori Soda; Tomotaka Sobue
Journal:  Cancer Sci       Date:  2011-12-15       Impact factor: 6.716

2.  Cancer incidence and incidence rates in Japan in 2009: a study of 32 population-based cancer registries for the Monitoring of Cancer Incidence in Japan (MCIJ) project.

Authors:  Megumi Hori; Tomohiro Matsuda; Akiko Shibata; Kota Katanoda; Tomotaka Sobue; Hiroshi Nishimoto
Journal:  Jpn J Clin Oncol       Date:  2015-07-03       Impact factor: 3.019

3.  An updated report on the trends in cancer incidence and mortality in Japan, 1958-2013.

Authors:  Kota Katanoda; Megumi Hori; Tomohiro Matsuda; Akiko Shibata; Yoshikazu Nishino; Masakazu Hattori; Midori Soda; Akiko Ioka; Tomotaka Sobue; Hiroshi Nishimoto
Journal:  Jpn J Clin Oncol       Date:  2015-01-30       Impact factor: 3.019

4.  Relationship between the diversity of the cagA gene of Helicobacter pylori and gastric cancer in Okinawa, Japan.

Authors:  Satoko Satomi; Akiyo Yamakawa; Shinsuke Matsunaga; Ryuho Masaki; Tomoko Inagaki; Tomoyuki Okuda; Hiroyuki Suto; Yoshiyuki Ito; Yukinao Yamazaki; Masaru Kuriyama; Yoshihide Keida; Hiromu Kutsumi; Takeshi Azuma
Journal:  J Gastroenterol       Date:  2006-07       Impact factor: 7.527

5.  Age at acquisition of Helicobacter pylori infection: a follow-up study from infancy to adulthood.

Authors:  Hoda M Malaty; Abdalla El-Kasabany; David Y Graham; Charles C Miller; Sidd G Reddy; Sathanur R Srinivasan; Yoshio Yamaoka; Gerald S Berenson
Journal:  Lancet       Date:  2002-03-16       Impact factor: 79.321

6.  Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries.

Authors:  Hyuna Sung; Jacques Ferlay; Rebecca L Siegel; Mathieu Laversanne; Isabelle Soerjomataram; Ahmedin Jemal; Freddie Bray
Journal:  CA Cancer J Clin       Date:  2021-02-04       Impact factor: 508.702

7.  Prediction of the 10-year probability of gastric cancer occurrence in the Japanese population: the JPHC study cohort II.

Authors:  Hadrien Charvat; Shizuka Sasazuki; Manami Inoue; Motoki Iwasaki; Norie Sawada; Taichi Shimazu; Taiki Yamaji; Shoichiro Tsugane
Journal:  Int J Cancer       Date:  2015-08-13       Impact factor: 7.396

8.  Estimating lifetime and age-conditional probabilities of developing cancer.

Authors:  L M Wun; R M Merrill; E J Feuer
Journal:  Lifetime Data Anal       Date:  1998       Impact factor: 1.588

Review 9.  Geographic differences in gastric cancer incidence can be explained by differences between Helicobacter pylori strains.

Authors:  Yoshio Yamaoka; Mototsugu Kato; Masahiro Asaka
Journal:  Intern Med       Date:  2008-06-16       Impact factor: 1.271

10.  U-shaped effect of drinking and linear effect of smoking on risk for stomach cancer in Japan.

Authors:  Shogo Kikuchi; Toshifusa Nakajima; Osamu Kobayashi; Tatsuo Yamazaki; Masahiro Kikuichi; Kiyoshi Mori; Shinsuke Oura; Hideaki Watanabe; Hirokazu Nagawa; Reiji Otani; Naoyuki Okamoto; Michiko Kurosawa; Haruyuki Anzai; Toshiro Konishi; Shunji Futagawa; Noboru Mizobuchi; Oichiro Kobori; Ruriko Kaise; Yutaka Inaba; Osamu Wada
Journal:  Jpn J Cancer Res       Date:  2002-09
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  2 in total

1.  Lifetime incidence risk for gastric cancer in the Helicobacter pylori-infected and uninfected population in Japan: A Monte Carlo simulation study.

Authors:  Sayo Kawai; Chaochen Wang; Yingsong Lin; Tae Sasakabe; Masumi Okuda; Shogo Kikuchi
Journal:  Int J Cancer       Date:  2021-09-04       Impact factor: 7.316

Review 2.  Gastric Cancer Screening in Japan: A Narrative Review.

Authors:  Kazuo Yashima; Michiko Shabana; Hiroki Kurumi; Koichiro Kawaguchi; Hajime Isomoto
Journal:  J Clin Med       Date:  2022-07-26       Impact factor: 4.964

  2 in total

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