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International Journal of Molecular Sciences logoLink to International Journal of Molecular Sciences
. 2012 Oct 17;13(10):13308–13321. doi: 10.3390/ijms131013308

ABO Blood Group System and Gastric Cancer: A Case-Control Study and Meta-Analysis

Zhiwei Wang 1,†, Lei Liu 1,†, Jun Ji 1, Jianian Zhang 1, Min Yan 1, Jun Zhang 1, Bingya Liu 1, Zhenggang Zhu 1, Yingyan Yu 1,*
PMCID: PMC3497328  PMID: 23202954

Abstract

This study focuses on the association between the ABO blood group system and the risk of gastric cancer or Helicobacter pylori infection. The data for the ABO blood group was collected from 1045 cases of gastric cancer, whereby the patient underwent a gastrectomy in Ruijin Hospital, Shanghai. The information on the ABO blood group from 53,026 healthy blood donors was enrolled as control. We searched the Pubmed database on the relationship between ABO blood groups and gastric cancer risk for meta-analysis. In our case-control study, the risk of gastric cancer in blood group A was significantly higher than that in non-A groups (O, B and AB) (odd ratio, OR1.34; 95% confidential interval, CI 1.25–1.44). Compared with non-O groups (A, B and AB), individuals with blood group O demonstrated a reduced risk of gastric cancer (OR = 0.80; 95% CI 0.72–0.88). The proportion of H. pylori infection in blood group A individuals was significantly higher than that in non-A blood groups (OR = 1.42; 95% CI 1.05–1.93). We further combined our data with the published data of others, and crossreferenced the risk of gastric cancer with the blood type, finding consistent evidence that gastric cancer risk in the blood A group was higher than that in the non-A groups (OR = 1.11; 95% CI 1.07–1.15), and that blood type O individuals were consistently shown gastric cancer risk reduction (OR = 0.91; 95% CI 0.89–0.94). Our study concluded that there was a slightly increased risk of gastric cancer in blood group A individuals, and people with blood type A are more prone to be infected by H. pylori than other ABO blood type individuals, whereas, a slightly decreased risk of gastric cancer was identified in blood type O individuals.

Keywords: ABO blood group, gastric cancer, Helicobacter pylori, Asian cohort, meta-analysis

1. Introduction

Gastric cancer is the second most common cause of cancer death worldwide [1,2]. About one million patients are newly diagnosed with gastric cancer each year, with 700,000 deaths each year [1]. It is known that gastric cancer can be caused by the interaction between environmental factors and genetic variations [3–5]. As an environmental factor, Helicobacter pylori (H. pylori) infection plays an important role in the development of gastric cancer. However, only a small proportion of H. pylori carriers develop gastric cancers. Such clinical diversity indicates that there are likely to be other factors in gastric carcinogenesis, including genetic susceptibility of the host [6–8].

Aird et al. were the first to notice the correlation between gastric cancer and blood group A [9]. Since then, the relationship between ABO blood groups and carcinogenesis or progression of human tumors has been reported by many investigations, including increased breast cancer risk in blood group A [10]. In a hospital-based case-control study, increased pancreatic cancer risk among persons with blood type A [11], and increased ovarian cancer risk in women with blood group A than in others was reported [12]. However, the results regarding the relationship between blood group A and gastric cancer were inconsistent [9,13–15].

Meta-analysis is a well-established method that can pool the data from smaller inconclusive studies [16]. Compared to individual studies, the data yielded from meta-analysis disclosed greater statistical power and property for genetic risks analysis [17]. To understand the correlation between ABO blood groups and the risk of developing gastric cancer, we conducted a case-control study of 1,045 cases of gastric cancer from Shanghai Ruijin Hospital, and 53,026 healthy blood donors from Shanghai blood center. Moreover, we searched the Pubmed database and combined them with our own research data in order to perform an overall meta-analysis on the relationship between ABO blood groups and the gastric cancer risk. Current study provides a systematic knowledge on the correlation among human ABO blood groups, H. pylori susceptibility and gastric cancer risk.

2. Results

2.1. The Case-Control Study

A cohort case of 1,045 gastric cancer was collected from Shanghai Ruijin Hospital. Among them, 438 cases (41.91%) were blood group A, 233 cases (22.30%) group B, 289 cases (27.66%) group O and 85 cases (8.13%) group AB. As a control, a cohort of 53,026 healthy blood donors was collected from the local blood bank. Among them, 16,595 individuals (31.30%) were blood group A, 13,443 (25.35%) group B, 18,329 (34.57%) group O and 4,659 (8.78%) group AB. In comparing the gastric cancer group with the healthy controls, it becomes evident that the risk of gastric cancer in blood groups A was significantly higher than that in non-A groups (OR = 1.34, 95% CI 1.25–1.44). The individuals with blood group O showed a significant reduced risk of gastric cancer (OR = 0.80, 95% CI 0.72–0.88). The people with blood group B showed a significantly reduced risk of gastric cancer, relative to non-B group (OR = 0.88, 95% CI 0.78–0.99). The difference of gastric cancer risk between the blood group AB and the non-AB groups was not significant (OR = 0.93, 95% CI 0.75–1.14).

We compared the distribution of ABO blood groups in H. pylori positive cases and H. pylori negative cases in the gastric cancer group. In 67 cases of H. pylori positive gastric cancer patients, 35 cases (52.2%) were blood group A, 17 (25.4%) group B, 13 (19.4%) group O, and 2 (3.0%) group AB. By contrast, in 48 cases of H. pylori negative gastric cancer cases, 15 (31.3%) were blood group A, 11 (22.9%) group B, 16 (33.3%) group O, and 6 (12.5%) group AB. The ratio of H. pylori infection in blood group A cases was significantly higher than that in non-A blood group cases (OR = 1.42; 95% CI 1.05–1.93). Compared with non-O blood group, individuals with blood group O showed a reduced risk of H. pylori infection (OR = 0.71; 95% CI 0.46–1.10). People with blood group AB also showed a modestly reduced risk of H. pylori infection, compared with non-AB blood groups (OR = 0.41; 95% CI 0.12–1.38). The difference of H. pylori infection ratio between Blood group B and non-B blood groups was not significant (OR = 1.06; 95% CI 0.75–1.50).

2.2. Meta-Analysis

Through extensive research, a total of 24 original articles covered 15,843 gastric cancer cases and 1,421,740 controls were put into the meta-analysis. One of the articles contains two populations [18]. Meanwhile, our Asian cohort collected from Shanghai Ruijin Hospital was included in the meta-analysis (Figure 1, Table 1). The meta-analysis resulted in the following: the risk of gastric cancer in a blood group A individual was significantly higher than that in a non-A group (OR = 1.11, 95% CI 1.07–1.15), and the blood group O individuals showed a significant reduced risk of gastric cancer, compared with the non-O individuals (OR = 0.91, 95% CI 0.89–0.94). However, no significant difference was found when blood group B was compared with non-B groups (OR = 0.97, 95% CI 0.91–1.04) or when blood group AB was compared with non-AB groups (OR = 0.95, 95% CI 0.87–1.03). The forest plots for the relation between ABO blood groups and the risk of gastric cancer were presented in Figure 2 to Figure 5.

Figure 1.

Figure 1

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The flow diagram of the selection of studies.

Table 1.

The literature about ABO blood groups and gastric cancer included in the meta-analysis.

First author Publication year Study type Source of controls Reference Gastric cancer Healthy control
Cases No. Type A (%) Type B (%) Type O (%) Type AB (%) Controls No. Type A (%) Type B (%) Type O (%) Type AB (%)
Hollander * 1953 NA NA 22 704 53.1 7.5 36.2 3.12 4518 45.1 9 41.7 4.25
Aird 1953 CC Hospital/voluntary donors 9 3632 44.8 7.8 44.5 2.89 3632 39.8 8.3 48.6 3.19
Wallace 1954 CC Voluntary donors 23 299 34.8 10 53.2 2 7418 33.5 11 51.9 3.55
Koster 1955 CC Voluntary donors 24 413 51.3 11 34.1 3.87 14304 44 11 40.6 4.5
Buckwalter 1956 CC Voluntary donors 27 879 45.9 9.2 42.1 2.84 6313 41.6 9 45.8 3.58
Buckwalter 1958 CC Voluntary donors 25 908 45.8 9.3 42.2 2.75 49979 42.3 9.4 44.8 3.5
Eisenberg 1958 CC Voluntary donors 29 892 45 12 38.6 4.04 75904 40.3 12 43.7 4.3
Beasley 1960 CC NA 13 746 46.9 8.7 41.7 2.68 8084 41.1 9.7 45.4 3.8
Doll 1960 CC Hospital 30 857 45.7 8.8 42.2 3.26 10000 42.2 8.9 45.8 3.13
Doll 1961 CC Hospital/voluntary donors 34 229 37.6 9.6 52 0.87 860 39.3 11 47.7 2.44
McConnell 1961 NA NA 36 105 40 16 41.9 1.9 610 43 9.8 44.6 2.62
Newman 1961 CC Hospital/voluntary donors 31 118 51.7 8.5 36.4 3.39 1261 40.6 11 44.7 3.33
Hoskins 1965 CC Voluntary donors 26 146 34.9 16 46.6 2.74 5236 34.2 12 49.7 3.9
Hoskins 1965 CC Hospital/voluntary donors 26 223 36.3 10 47.5 5.83 4222 37.7 11 47.2 3.79
Glober 1971 CC Hospital/voluntary donors 37 1680 45.9 8.5 42 3.57 43026 42.2 8.9 45.8 3.09
Ray 1980 CC Voluntary donors 35 584 21.1 42 29.1 7.71 8821 24 34 33.9 8.15
Parsonnet 1997 NCC cohort members 38 103 41.8 13 43.7 1.94 139 31.7 12 50.4 5.76
Lossowska 1999 CC Voluntary donors 39 417 42.9 NA 30.2 NA 454 36.6 NA 35.9 NA
Klaamas 1999 CC Voluntary donors 32 171 42.7 23 26.9 7.02 298 35.2 21 34.9 9.4
Posilović 2003 CC Hospital 33 62 37.1 NA 30.7 NA 75 34.7 NA 46.7 NA
Sharara 2006 CC Voluntary donors 40 15 46.7 20 26.7 6.67 104 25 20 51 3.85
Hajj 2007 CC Hospital/voluntary donors 41 152 50 8.6 36.8 4.61 18972 35.6 14 47 3.88
Iodice 2010 CC Hospital 42 301 39.2 9.3 45.9 5.65 15058 40.2 12 43.9 4.2
Qiu 2010 CC Hospital 43 474 26.2 24 41.4 8.44 404 27.2 26 40.1 6.44
Edgren 2010 Cohort study Voluntary donors 28 688 48.1 9.6 35.8 6.54 1089022 44 11 39.4 5.31
this study CC Voluntary donors 1045 41.9 22 27.7 8.13 53026 31.3 25 34.6 8.79
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*

Note: The data was cited in Aird’s article; Abbreviations: not available (NA); case-control study (CC); nested case-control study (NCC).

Figure 2.

Figure 2

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The forest plot for the relation of non-A groups vs. blood group A based on meta-analysis.

Figure 5.

Figure 5

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The forest plot for the relation of blood group AB and non-AB groups based on meta-analysis.

2.3. Meta-Regression Analyses

To evaluate the heterogeneity among the parameters, we performed meta-regression analysis on publication time, country (geographical factor), study design, and the proportion of ABO blood group individuals in cases and controls (sample constitution factors) (Table 2). For blood group B, the geographic factor (Coef. = 0.17, p = 0.015) and sample constitution factor (Coef. = 2.39, p = 0.001) were the reasons for heterogeneity. For blood group O, sample constitution factor (Coef. = 2.39, p = 0.001) was the source of heterogeneity (Coef. =1.14, p = 0.017).

Table 2.

Meta-regression analysis of ABO blood groups with covariates of interest.

Variable Blood group A Blood group B Blood group O
Coef. 95% CI t P value Coef. 95% CI t P value Coef. 95% CI t P value
Publication year 0.001 (−0.001,0.002) 0.55 0.586 −0.003 (−0.01,0.001) −1.97 0.067 0.001 (−0.001,0.002) 1.29 0.261
Area −0.03 (−0.09,0.03) −1.09 0.292 0.17 (0.03,0.30) 2.74 0.015 −0.01 (0.06,0.04) −0.4 0.693
Study type 0.08 (−0.04,0.20) 1.4 0.181 −0.21 (−0.48,0.06) −1.64 0.122 −0.03 (−0.15,0.08) −0.61 0.548
Source of control −0.01 (−0.06,0.05) −0.28 0.785 0.08 (−0.04,0.20) 1.35 0.198 −0.01 (−0.06,0.04) −0.32 0.755
Sample constitution 0.88 (−0.06,1.83) 1.97 0.066 2.39 (1.11,3.66) 3.99 0.001 1.14 (0.23,2.06) 2.65 0.017
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Abbreviations: Coef., coefficient; CI, confidence interval.

Furthermore, we evaluated stratum-specific odds ratios, and the stratum-specific estimation for geographical region showed that OR for blood group B in Asian people is 1.141, 95% CI (1.065–1.122); in Europe, OR is 0.885, 95% CI (0.825–0.948); in America, OR is 0.981, 95% CI (0.887–1.085) and in mixed areas, OR is 0.928, 95% CI (0.757–1.138). Moreover, the overall OR for blood group B after stratum-specific analysis by geographical region is 0.978, 95% CI (0.929–1.029). The stratum-specific odds ratio for sample constitution in blood group B showed that, in Group One, OR is 4.822, 95% CI (4.505–5.160); while in Group Two, OR is 0.456, 95% CI (0.433–0.479). The overall OR for blood group B after stratum-specific analysis by sample constitution, then, is 0.978, 95% CI (0.929–1.029). Furthermore, the stratum-specific odds ratio for sample constitution in blood group O shows that, in Group One, OR is 6.443, 95% CI (6.315–6.575); in Group Two, OR is 0.265, 95% CI (0.254–0.276), and the overall OR for blood group O after stratum-specific analysis is 0.832, 95% CI (0.809–0.856).

2.4. Publication Bias

We used Begg’s test or Egger’s test to evaluate the publication bias. There were no significant publication bias for blood group A (Begg’s test, p = 0.83; Egger’s test, p = 0.77), blood group B (Begg’s test, p = 0.75; Egger’s test, p = 0.07), blood group O (Begg’s test, p = 0.08, Egger’s test, p = 0.27) and blood group AB (Begg’s test, p = 0.21; Egger’s test, p = 0.14). The Begg’s funnel plot for the relation between ABO blood groups and the risk of gastric cancer are shown in Figure 6.

Figure 6.

Figure 6

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The Begg’s funnel plot analysis for blood group A vs. non-A groups and gastric cancer risk (upper left), blood group B vs. non-B groups (upper right), blood group O vs. non-O groups (lower left) and blood group AB vs. non-AB groups (lower right). The vertical axis represents the log of OR. The horizontal axis represents the SE of log (OR). The funnel plots are drawn with 95% confidence limits. OR: odds ratio; SE: standard error.

3. Discussion

The relationship between the ABO blood group system and the incidence of tumor has been noticed for many years. Recently, Iodice et al. reported that the incidence risk of pancreatic cancer in blood group O individuals was significantly reduced compared with that in non-O group (RR = 0.79, 95% CI 0.70–0.90) in Europeans [19]. Meanwhile, they investigated the relationship between ABO blood groups and other kinds of cancer, but failed to confirm the relationship between ABO blood groups and gastric cancer. In our case-control study, we found a significant relationship between ABO blood groups and gastric cancer. The risk of gastric cancer in blood groups A was significantly higher than that in non-A groups.

A systematic meta-analysis helps researchers to summarize studies on specific topics. Since meta-analysis is a combination of multiple studies, it is less influenced by separate findings from a single study. In addition, meta-analyses reveal higher statistical power than traditional single studies. Regarding the effect of ABO blood groups on the risk of gastric cancer, we performed a meta-analysis combined with our case-control study from a large cohort. The meta-analysis indicated that the risk of gastric cancer in blood group A individuals was significantly higher than that in non-A group individuals (OR = 1.11, 95% CI 1.07–1.15), whereas the individuals with blood group O showed a significantly reduced risk of gastric cancer, compared with the non-O individuals (OR = 0.91, 95% CI 0.89–0.94). Odds ratios are commonly reported in the medical literature as the measure of association between exposure and outcome [20]. In this present study, the OR values of the relationship between blood group A and gastric cancer was in the range of 1.1–1.5, suggesting a weak association. The OR value of the relationship between blood group O and gastric cancer is in the range of 0.8–0.9, which also suggests a weak association. However, our meta-analysis failed to prove any relationship between blood group B or blood group AB with the gastric cancer risk. Regarding the heterogeneity of the publication language, data quality and data source, there are some limitations in meta-analysis. Therefore, the researchers need to search more articles including English articles and non-English articles in order to make their meta-analysis more reliable for guiding clinical work.

The association between blood group A and gastric cancer has been mentioned in the studies of several groups [9,13,14]. In regards to the possible explanations for the increased incidence of gastric cancer in blood group A individuals, Roberts et al. proposed that individuals with blood group A were more susceptible to pernicious anemia, compared with non-A blood group individuals [21]. A pernicious anemia individual is more prone to gastric cancer [18]. A clinical study demonstrated that altered gastric secretary function may be related to the ABO blood group. Compared to individuals with blood group A, the individuals of blood group O produced more free acid in their stomachs. The mean value of plasma pepsinogen in individuals with blood group O (564 units/mL) was higher than that in individuals with blood group A (494 units/mL) [22]. One study indicated that the immune-reaction to tumors in individuals with blood group A was reduced compared with the non-A blood group individuals [12,23]. Recently, one paper published in Nature journal indicated that the erythrocyte receptor-ligand pair is essential for erythrocyte invasion in the pathogenesis of malaria. They found that Ok blood group antigen, a kind of blood group antigen, is a receptor for erythrocyte invasion of the parasite [24]. This discovery suggested that individuals with the A blood group antigen may be more susceptible to H. pylori invasion. Therefore, we further analyzed the infection status in our gastric cancer cohort and found that the ratio of H. pylori infection in blood group A cases was significantly higher than that in non-A blood group cases. Recently, Nakao et al. analyzed the ABO genotype and the risk of gastric cancer, atrophic gastritis and H. pylori infection, and proposed that the risk for gastric cancer, atrophic gastritis and H. pylori infection was increased in AA genotype [25]. This finding is consistent with our data. H. pylori plays an important role in the development of gastric ulcer and gastric cancer. H. pylori is a Gram negative bacteria, which can be divided into cytotoxin-associated antigen (CagA) and vacuolating cytotoxin (VacA) positive strains, as well as CagA and VacA negative strains. CagA positive H. pylori suggest a considerably increased risk of gastric cancer [26]. The adhesion molecule system of H. pylori helps the bacteria colonizing in stomach mucosa. The most important adhesion molecular is blood group antigen-binding adhesion A (BabA). Adherence by H. pylori increases the risk of gastric disease. Animal experiments revealed that BabA could stimulate the inflammatory cells to release more interleukin-8, CCL5 proinflammatory cytokines and precancer-related factors (CDX2 and MUC2) [27]. Since inflammatory response to H. pylori infection plays an important role in cellular proliferation and gastric mucosal damage, the upregulation of proinflammatory cytokines in people with chronic gastritis may be an important clinical implication in gastric carcinogenesis.

4. Experimental Section

4.1. Case-Control Study

The ABO blood group information of 1,045 cases of hospitalized gastric cancer was from Shanghai Ruijin Hospital between 2002 and 2010, with age 25 to 90, median 60 years old. Among them, 709 cases are male and 336 cases are female. Of them, 115 cases obtained H. pylori infection information through 13C urea breath test before operation. The diagnosis of gastric cancer was confirmed histologically in all patients. The control group was composed of 53,026 healthy blood donors in 2010 from Shanghai central blood bank. Informed consent for participation in the study was obtained from all subjects with approval by the ethics committee of Ruijin Hospital.

Pearson’s chi-square test was used to compare the distribution of ABO blood groups between gastric cancer patients and controls. Odds ratios (OR) and 95% confidence intervals (CI) were used to evaluate the relationship between ABO blood groups and gastric cancer. All statistical analyses were performed with SPSS (Version 15.0; SPSS Inc.: Chicago, IL, USA). p < 0.05 indicated statistically significant differences.

4.2. Meta-Analysis and Statistics

We comprehensively searched the Pubmed database for all English literatures from 1953 to end of 2010. We combined the terms “stomach neoplasms [MeSH] OR gastric neoplasms [tiab] OR stomach cancer [tiab] OR gastric cancer[tiab] OR stomach carcinoma[tiab] OR gastric carcinoma [tiab] OR gastric tumor [tiab]” and “ABO blood group system [MeSH] OR Blood Group [tiab] OR Blood group antigens [tiab].” The selection of articles was accomplished independently by two researchers (Wang and Liu), and discrepancies were discussed with the third researcher (Yu), until consensus was reached. The literatures that meet the following criteria were included in the meta-analysis: (1) the study was either a case-control study, or a nested case-control study; (2) the study reported the definite numbers of individuals with blood groups A, B, O, and AB in gastric cancer cases and controls. Non-English articles, review articles, or articles which were involving the mechanism study were excluded from the study. We used a standardized protocol to extract the following data from each publication, including the first author, year of publication, study design, source of the control group, country in which the study was performed and the percentage of ABO blood groups in cases and controls (Table 1) [9,13,18,19,26,28–45].

Q and Higgins I2 statistics were used to examine heterogeneity among studies. In Q statistic, p value less than 0.05 means a heterogeneity. The extent of heterogeneity was evaluated by I2, which was documented as the percentage (I2 = 0%–25%, no heterogeneity; I2 = 25%–50%, moderate heterogeneity; I2 = 50%–75%, high heterogeneity; I2 = 75%–100%, extremely high heterogeneity) [46,47]. Fixed-effects model (Mantel Haenszel) or random-effects model (Dersimonian and Laird) was used depending on the heterogeneity between studies. The fixed-effects model was used if there was no significant heterogeneity, otherwise, the random-effects model was used [46]. To estimate the one or more covariates related to heterogeneity, meta-regression, as an extension to random-effects meta-analysis, was employed. Publication time is a continuous variable. Whole data are divided into two case-control studies and other studies. Geographical region is divided into Asia, Europe, America and other areas. As for a sample constitution, we first computed the mean of the proportion of people with different ABO blood groups in all individuals. The proportion of persons with different ABO blood groups was higher than the mean that was deemed as Group One, while the proportion of individuals with different ABO blood groups was lower than the mean that was deemed as Group Two. The overall effect was assessed by Z test. Funnel plots and Egger’s regression asymmetry test or Begg’s test were used to probe for publication bias [48,49]. Forest plots were used for graphic display. A p value of <0.05 was considered statistically significant. All data were analyzed with STATA (Version 11.0; Stata Corp.: College Station, TX, USA).

5. Conclusions

In conclusion, the present study confirmed that gastric cancer risk is increased in individuals with blood group A, as opposed to those in non-A blood groups. The individuals with blood group O showed a significant reduced risk of gastric cancer comparing with non-O blood groups. The susceptibility of blood group A individuals to gastric cancer may be partially attributed to an increased risk of H. pylori infection. This study implied that there must be a host genetic susceptibility for gastric cancer. However, the exact molecular mechanism underlying the relationship between ABO blood groups, H. pylori infection and gastric cancer needs to be further explored.

Figure 3.

Figure 3

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The forest plot for the relation of blood group B and non-B group based on meta-analysis.

Figure 4.

Figure 4

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The forest plot for the relation of blood group O and non-O group based on meta-analysis.

Acknowledgments

We give special thanks for the careful proofreading of this article, provided by Keqin Kathy Li from State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Rui Jin Hospital Affiliated with the Shanghai JiaoTong University School of Medicine. This work was supported by the National High Tech Program (2012AA02A504, 2012AA02A203 and 2011ZX09307-001-05); National Natural Science Foundation of China (81172329, 30973486), the Program of Shanghai Subject Chief Scientist (11XD1403600), Key Research Project from Shanghai Science and Technology Commission (09DZ1950101, 09JC1409600), and Innovation Fund Projects from Shanghai Jiao Tong University School of Medicine (BXJ 201210).

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