# Precancerous Gastric Lesions withHelicobacter pylori vacA+/babA2+/oipA+ Genotype Increase the Risk of Gastric Cancer

Authors: Theeraya Simawaranon Bartpho; Wareeporn Wattanawongdon; Taweesak Tongtawee; Chatchanok Paoin; Kokiet Kangwantas; Chavaboon Dechsukhum
Journal: BioMed Research International
 (2020)

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## Abstract

Objective. The clinical outcomes of gastric diseases such as chronic gastritis, peptic ulcer, and gastric cancer have been attributed to the interplay of virulence factors of Helicobacter pylori (H. pylori), host genetic susceptibility, and host immune responses. This study investigated the presence of cagA, vacA, iceA2, babA2, and oipA genes and their association with clinical outcomes. Methods. Chronic gastritis, atrophic gastritis, and intestinal metaplasia specimens were obtained from patients who underwent endoscopy and surgical resection between January 2017 and December 2018; specimens from gastric cancer patients treated between January 2014 and December 2018 were also added. H. pylori infection and virulence genes (cagA, vacA, iceA2, babA2, and oipA) were determined using real-time PCR. The association between H. pylori genotypes and clinical outcomes were evaluated using multivariate regression model analysis. The overall survival of gastric cancer patients was compared between genotype combinations. Results. H. pylori was positive in 166 patients with chronic gastritis, precancerous gastric lesions, and gastric cancer. The genes vacA, babA2, and oipA were most prevalent in chronic gastritis (73%), precancerous gastric lesions (62%), and gastric cancer (91%), respectively. The vacA, babA2, and oipA genes were associated with increased risk of gastric cancer (OR = 1.23; 95% CI = 1.13–3.32; P=0.033, OR = 2.64; 95% CI = 1.44–4.82, P=0.024, and OR = 2.79; 95% CI = 1.58–5.41; P=0.031, respectively). Interestingly, H. pylori vacA+/babA2+/oipA+ genotype infection was associated with increased risk of gastric cancer (OR = 3.85, 95% CI = 1.67–5.77, P=0.014). Conclusion. In this present study, we reported on the virulence genes of H. pylori infection to reveal their association with increased risk of chronic gastritis, precancerous gastric lesions, and gastric cancer. Precancerous gastric lesions with H. pylori vacA+/babA2+/oipA+ genotype increased the risk of gastric cancer.


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## Body

## 1. Introduction

Helicobacter pylori (H. pylori) is a spiral-shaped Gram-negative bacterium that selectively colonizes the gastric mucosa of the humans in more than half of the world’s population [1]. H. pylori infection has been proven to be highly associated with the development of a variety of gastric diseases such as chronic gastritis, peptic ulcer disease (PUD), mucosal associated lymphoid tissue (MALT), and gastric cancer (GC) [2–4]. These different clinical outcomes have been attributed to the interplay of several factors, including virulence factors of H. pylori, host genetic susceptibility, and host immune responses to H. pylori infection [5–7]. Several virulence factors have been proposed for H. pylori infections; they include adapting to different tissues like urease and flagella, using adhesins such as blood-antigen binding protein A (BabA) and outer inflammatory protein A (OipA), and toxins that damage host tissues such as cytotoxin-associated gene A (CagA) and vacuolating cytotoxin (VacA). Another putative virulence factor is that induced by contact with epithelium A (IceA) [8, 9].The BabA is a protein for Lewis b binding activity on human gastric epithelial cells. Threebab alleles; babA1, babA2, and babB genes have been identified, but only the babA2 gene product is functional [10, 11]. BabA2 is associated with an increased risk of PUD and GC [12–14]. The OipA is one of the porin proteins and proinflammatory proteins associated with severe neutrophil infiltration in IL-8 induction and gastric colonization [15]. It contributes to the pathogenesis and is associated with the elevated risks of PUD and GC [16–18]. The cagA gene is located at the end of the cag pathogenicity island (cagPAI), encodes a type IV secretion system (T4SS) that is functional for translocating bacterial effectors into host cytoplasm, and triggers the manipulation of cell signaling pathways and also the induction of the proinflammatory cytokines, specifically interleukin IL-8 [19, 20]. It is associated with severe clinical diseases in PUD and GC [21–24]. The VacA is a pore-forming toxin, which causes progressive vacuolation and injury to the gastric epithelium [25]. It is associated with an increased risk of PUD and GC [26, 27]. Specific allelic types in the vacA gene are signal (s1, s2) and the middle regions (m1, m2) due to sequence heterogeneity [28]. The variation in cytotoxic activities in relation to H. pylori-related diseases and gastric mucosal changes is considered the cause of different strains [29]. The iceA gene is induced by contact with epithelium and has been considered as a marker for PUD [30]. It has two main allelic variants, iceA1 and iceA2 [31]. It has been found that iceA1 is the predominant subtype in East Asia, while iceA2 is the predominant subtype in the USA and Columbia [32]. Although several studies have reported different results, the iceA2 gene was detected to be the predominant genotype [33, 34].In intestinal types of GC,H. pylori infection triggers a multistep progression from chronic gastritis, atrophic gastritis (AG), intestinal metaplasia (IM), and finally to GC [35]. Several studies suggest that AG and IM are the major precursor gastric lesions of intestinal-type GC and elevate the risk of GC [36–38]. Moreover, AG and IM increased the risk of intestinal-type GC exponentially when compared with other risk factors [39]. From this background, H. pylori infection is thought to be involved in chronic gastritis, precancerous gastric lesions, and GC; however, the relationship between virulence status and its association with these clinical outcomes has not been well reported and are not fully understood in Asian countries. Thus, the aim of this study was to investigate the H. pylori virulence genes including cagA, vacA, iceA2, babA2, and oipA of patients with chronic gastritis, precancerous gastric lesions, and GC, and to determine whether the virulence genes are associated with the risk of chronic gastritis, precancerous gastric lesions, and GC.


## 2. Material and Methods

### 2.1. Patients and Specimens

Patients were subjected to esophagogastroduodenoscopy (EGD) (Olympus Corp., Tokyo, Japan), which was carried out using an upper GI video endoscope (Olympus EVIS EXERA III, CV-190). Gastric tissue biopsies of chronic gastritis, AG, and IM were obtained between January 2017 and December 2018, and GC biopsies were obtained between January 2014 and December 2018. Surgical resection was performed at the Suranaree University of Technology Hospital, Buriram Hospital Medical center, or Surin Hospital Medical center in the Northeastern region of Thailand. Written informed consent was obtained from all patients, and the study protocol was approved by the Ethics Committee for Research Involving Human Subjects, Suranaree University of Technology (EC-59-45 and EC 16-2560). The whole stomach was examined and biopsies were conducted using the site-specific biopsy technique [40]. All biopsies were directly tested for H. pylori infection by using the rapid urease test (RUT) kit (Pentland Medical, Edinburgh, UK). The methods were carried out in accordance with good clinical practice and the guidelines of the Declaration of Helsinki [41]. Histological determinations were subsequently examined by a pathologist. The patient retrospective cohort included 70 cases, which were used to analyze the association between overall survival (OS) and genotype combinations.


### 2.2. DNA Extraction

DNA extraction from fresh tissues of chronic gastritis, AG, and IM was performed using the QIAamp DNA mini kit (Qiagen, Düsseldorf, Germany), and the tissues of GC were formalin-fixed and paraffin-embedded (FFPE) using xylene and hydrate in 100% ethanol and subsequently by using QIAamp DNA FFPE tissue kit (Qiagen, Düsseldorf, Germany) according to the manufacturer’s instructions. Genomic DNA was purified from the tissue lysate using the QIAamp spin column and eluted. The DNA concentration and purity were determined using a DS-11+ spectrophotometer (Denovix, Wilmington, Delaware, USA) and stored at −20°C.


### 2.3. Real-Time Polymerase Chain Reaction (Real-Time PCR)

H. pylori infection 16s rRNA and ureA genes were identified. H. pylori-positive samples were used to determine the virulence genes (cagA, vacA, iceA2, babA2, and oipA) using real-time PCR. The primers for 16s rRNA, ureA, cagA, vacA, iceA2, babA2, and oipA (Integrated DNA Technologies, Coralville, IA, USA) are shown in Table 1. Briefly, DNA samples were used as templates in the amplification reactions. The real-time PCR was performed according to the manufacturer’s protocol in a final volume of 20 μL containing DNA template, 2X SYBR Green PCR Master Mix (Roche Applied Science, Mannheim, Germany), and 50 pmol of each primer using a Light Cycler® 480 Instrument (Roche diagnostics, Neuilly sur Seine, France). The PCR conditions used in this study were as follows: preincubation at 95°C for 5 min, 45 cycles of amplification (10 s of denaturation at 95°C, 10 s of annealing at Tm of specific primer, and 10 s of extension at 72°C). Each sample was performed in duplicates reactions for standard. All data were analyzed using the Light Cycler 480 software, version 1.5 (Roche diagnostics, Neuilly sur Seine, France).Table 1
Primers used for the amplification ofH. pylori genes.
Primer
Forward
Reverse
Reference
16s rRNA
GGAGTACGGTCGCAAGATTAAA
CTAGCGGATTCTCTCAATGTCAA
[42]
UreA
CGTGGCAAGCATGATCCAT
GGGTATGCACGGTTACGAGTTT
[43]
CagA
GAGTCATAATGGCATAGAACCTGAA
TTGTGCAAGAAATTCCATGAAA
[44]
VacA
CTCCAGAAGGCACACCAATAA
TGGCTTCCACTTCCCCATTAA
[45]
IceA2
GTTGTCGTTGTTTTAATGAA
GTCTTAAACCCCACGATTAAA
[46]
BabA2
CCAAACGAAACAAAAAGCGT
GCTTGTGTAAAAGCCGTCGT
[47]
OipA
GTTTTTGATGCATGGGATTT
GTGCATCTCTTATGGCTTT
[48]


### 2.4. Statistical Analysis

The differences between the virulence genes ofH. pylori infection for the patient’s demographic data were determined using ANOVA. The associations between virulence genes and clinical outcomes and risks of GC were evaluated using the univariate regression model analysis. Odds ratios (OR) and 95% confidence intervals (CI) were calculated using the multivariate regression model analysis. Survival analysis was performed using the Kaplan–Meier method and the overall survival differences were analyzed using the log-rank test. A P value of less than 0.05 was considered statistically significant. All statistical analyses were carried out using SPSS for Windows (version 20.0; IBM Corp., Armonk, NY, USA).


## 2.1. Patients and Specimens

Patients were subjected to esophagogastroduodenoscopy (EGD) (Olympus Corp., Tokyo, Japan), which was carried out using an upper GI video endoscope (Olympus EVIS EXERA III, CV-190). Gastric tissue biopsies of chronic gastritis, AG, and IM were obtained between January 2017 and December 2018, and GC biopsies were obtained between January 2014 and December 2018. Surgical resection was performed at the Suranaree University of Technology Hospital, Buriram Hospital Medical center, or Surin Hospital Medical center in the Northeastern region of Thailand. Written informed consent was obtained from all patients, and the study protocol was approved by the Ethics Committee for Research Involving Human Subjects, Suranaree University of Technology (EC-59-45 and EC 16-2560). The whole stomach was examined and biopsies were conducted using the site-specific biopsy technique [40]. All biopsies were directly tested for H. pylori infection by using the rapid urease test (RUT) kit (Pentland Medical, Edinburgh, UK). The methods were carried out in accordance with good clinical practice and the guidelines of the Declaration of Helsinki [41]. Histological determinations were subsequently examined by a pathologist. The patient retrospective cohort included 70 cases, which were used to analyze the association between overall survival (OS) and genotype combinations.


## 2.2. DNA Extraction

DNA extraction from fresh tissues of chronic gastritis, AG, and IM was performed using the QIAamp DNA mini kit (Qiagen, Düsseldorf, Germany), and the tissues of GC were formalin-fixed and paraffin-embedded (FFPE) using xylene and hydrate in 100% ethanol and subsequently by using QIAamp DNA FFPE tissue kit (Qiagen, Düsseldorf, Germany) according to the manufacturer’s instructions. Genomic DNA was purified from the tissue lysate using the QIAamp spin column and eluted. The DNA concentration and purity were determined using a DS-11+ spectrophotometer (Denovix, Wilmington, Delaware, USA) and stored at −20°C.


## 2.3. Real-Time Polymerase Chain Reaction (Real-Time PCR)

H. pylori infection 16s rRNA and ureA genes were identified. H. pylori-positive samples were used to determine the virulence genes (cagA, vacA, iceA2, babA2, and oipA) using real-time PCR. The primers for 16s rRNA, ureA, cagA, vacA, iceA2, babA2, and oipA (Integrated DNA Technologies, Coralville, IA, USA) are shown in Table 1. Briefly, DNA samples were used as templates in the amplification reactions. The real-time PCR was performed according to the manufacturer’s protocol in a final volume of 20 μL containing DNA template, 2X SYBR Green PCR Master Mix (Roche Applied Science, Mannheim, Germany), and 50 pmol of each primer using a Light Cycler® 480 Instrument (Roche diagnostics, Neuilly sur Seine, France). The PCR conditions used in this study were as follows: preincubation at 95°C for 5 min, 45 cycles of amplification (10 s of denaturation at 95°C, 10 s of annealing at Tm of specific primer, and 10 s of extension at 72°C). Each sample was performed in duplicates reactions for standard. All data were analyzed using the Light Cycler 480 software, version 1.5 (Roche diagnostics, Neuilly sur Seine, France).Table 1
Primers used for the amplification ofH. pylori genes.
Primer
Forward
Reverse
Reference
16s rRNA
GGAGTACGGTCGCAAGATTAAA
CTAGCGGATTCTCTCAATGTCAA
[42]
UreA
CGTGGCAAGCATGATCCAT
GGGTATGCACGGTTACGAGTTT
[43]
CagA
GAGTCATAATGGCATAGAACCTGAA
TTGTGCAAGAAATTCCATGAAA
[44]
VacA
CTCCAGAAGGCACACCAATAA
TGGCTTCCACTTCCCCATTAA
[45]
IceA2
GTTGTCGTTGTTTTAATGAA
GTCTTAAACCCCACGATTAAA
[46]
BabA2
CCAAACGAAACAAAAAGCGT
GCTTGTGTAAAAGCCGTCGT
[47]
OipA
GTTTTTGATGCATGGGATTT
GTGCATCTCTTATGGCTTT
[48]


## 2.4. Statistical Analysis

The differences between the virulence genes ofH. pylori infection for the patient’s demographic data were determined using ANOVA. The associations between virulence genes and clinical outcomes and risks of GC were evaluated using the univariate regression model analysis. Odds ratios (OR) and 95% confidence intervals (CI) were calculated using the multivariate regression model analysis. Survival analysis was performed using the Kaplan–Meier method and the overall survival differences were analyzed using the log-rank test. A P value of less than 0.05 was considered statistically significant. All statistical analyses were carried out using SPSS for Windows (version 20.0; IBM Corp., Armonk, NY, USA).


## 3. Results

### 3.1. Detection ofH. pylori cagA, vacA, iceA2, babA2, and oipA Virulence Genes in Chronic Gastritis, Precancerous Gastric Lesions, and Gastric Cancer

A total of 200H. pylori-positive samples was examined for 16s rRNA and ureA gene detection; out of which 166 patients (83%) were positive for both 16s rRNA and ureA genes. These patients were divided into three groups: chronic gastritis (n = 44), precancerous gastric lesions including AG and IM (n = 52), and GC (n = 70). All patients were not significantly different in age and gender. The patient’s demographic data are summarized in Table 2. The vacA (73%) gene was mainly present in chronic gastritis followed by cagA (68%), babA2 (59%), oipA (27%), and iceA2 (9%). The babA2 (62%) gene was mainly present in precancerous gastric lesions followed by cagA and oipA (46%), vacA (27%), and iceA2 (19%). Interestingly, babA2 and oipA (91%) were almost present in GC followed by vacA (60%), cagA (26%), and iceA2 (16%). The iceA2 gene was the lowest frequency of detection in all clinical outcomes. The frequency of cagA, vacA, iceA2, babA2, and oipA genes is shown in Figure 1. The presence of vacA, babA2, and oipA genes was significantly different between clinical outcomes (P=0.036, 0.042 and 0.039, respectively).Table 2
Demographic characteristics.
Chronic
Precancerous lesions
Gastric cancer
P value
(n = 44)
(n = 52)
(n = 70)
Age: mean
43 ± 1.6
46 ± 2.4
52 ± 1.2
0.192
Gender: male/female (%)
63.6/32.4
46.2/43.8
45.2/44.8
0.082
Pathological characteristic of gastric cancer patients (n = 70)
Location of tumorn (%)
Upper
12 (17.15)
Middle
36 (51.42)
Lower
22 (31.43)
Tumor sizen (%)
<70 mm
18 (25.72)
≥70 mm
52 (74.28)
Histologic typen (%)
Differentiated
54 (77.14)
Undifferentiated
16 (22.86)
Lymphatic invasionn (%)
Absent
46 (65.71)
Present
24 (34.29)
Vascular invasionn (%)
Absent
62 (88.57)
Present
8 (11.43)
Pathological T stagen (%)
T1-T2
22 (31.43)
T3-T4
48 (68.57)
Pathological TNM stagen (%)
I
8 (11.43)
II
14 (20.0)
III
36 (51.43)
IV
12 (17.14)
Residual tumorn (%)
No residual tumor
52 (74.28)
Microscopic
6 (8.57)
Gross (unresectable)
12 (17.14)
CEAn (%)
<5.0 (ng/ml)
42 (60.0)
≥5.0 (ng/ml)
28 (34.29)
Comparisons between the groups were done by using ANOVA.P<0.05 considered as statistically significant.Figure 1
The frequency of cagA, vacA, iceA2, babA2, and oipA genes in each clinical outcome.


### 3.2. Association between the Presence ofvacA, babA2, and oipA Genes and Clinical Outcomes

The association between the presence ofvacA, babA2, and oipA genes and clinical outcomes was assessed. Among chronic gastritis, vacA was present in H. pylori infection and was associated with significantly increased risk of chronic gastritis (OR = 2.14, 95% CI = 1.62–4.46, P=0.036). The vacA, babA2, and oipA genes were present in patients, but they were not associated with increased risk of precancerous gastric lesions. Additionally, vacA, babA2, and oipA genes were associated with increased risk of GC (OR = 1.23; 95% CI = 1.13–3.32; P=0.033, OR = 2.64; 95% CI = 1.44–4.82, P=0.024 and OR = 2.79; 95% CI = 1.58–5.41; P=0.031, respectively) (Table 3).Table 3
Virulence gene in association with clinical outcomes.
Gastric mucosa pathology/Virulence gene
Chronic
Precancerous
OR; 95% CI
P value
Precancerous
GC
OR (95% CI)
P value
(n = 44)
(n = 52)
(n = 52)
(n = 70)
VacA
32 (73%)
14 (27%)
2.14 (1.62–4.46)
0.036
14 (27%)
42 (60%)
1.23 (1.13–3.32)
0.033
BabA2
26 (59%)
32 (62%)
0.77 (0.56–0.94)
0.833
32 (62%)
64 (91%)
2.64 (1.44–4.82)
0.024
OipA
12 (27%)
24 (46%)
0.69 (0.49–0.82)
0.546
24 (46%)
64 (91%)
2.79 (1.58–5.41)
0.031
Multivariate regression model analysis used to analyze the data. OR: odds ratio; CI: confidence interval. Significance is set atP<0.05.


### 3.3.H. pylori vacA+/babA2+/oipA+ Genotype Conferred Increased Risk of GC

We examined the virulence combinations based on the analysis ofvacA, babA2, and oipA genotypes. Precancerous gastric lesions infected with vacA+/babA2+, vacA+/oipA+, babA2+/oipA+, and vacA+/bibA2+/oipA+ genotypes were 3.85%, 3.85%, 26.92%, and 11.54%, whereas GC were 2.86%, 2.86%, 34.29%, and 51.43%, respectively (Table 4). Interestingly, precancerous gastric lesions infected with H. pylori genotype combination of vacA+/bibA2+/oipA+ were highly significantly associated with increased risk of GC (OR = 3.85, 95% CI = 1.67–5.77, P=0.021), but not vacA+/babA2+, vacA+/oipA+, and bibA2+/oipA+ genotypes. Chronic gastritis was not associated with the development of precancerous gastric lesions or GC when infected with any H. pylori genotype combination (data not shown).Table 4
Virulence genotype combination in association with clinical outcomes.
Virulence gene
Precancerous gastric lesion (%)
GC (%)
OR (CI 95%)
P value
VacA
BabA2
OipA
+
+
−
2 (3.85)
2 (2.86)
0.72 (0.42–0.97)
0.634
+
−
+
2 (3.85)
2 (2.86)
0.72 (0.42–0.97)
0.634
−
+
+
14 (26.92)
24 (34.29)
0.7 (0.37–0.96)
0.091
+
+
+
6 (11.54)
36 (51.43)
4.28 (1.82–7.41)
0.021
Multivariate regression model analysis used to analyze the data. OR: odds ratio; CI: confidence interval. Significance is set atP<0.05.


### 3.4. Overall Survival of GC Patients withH. pylori Genotype Combination Infections

We examined the overall survival of GC patients that were infected withH. pylori two-genotype strains (vacA+/babA2+, vacA+/oipA+, and babA2+/oipA+) and H. pylori three-genotype strain (vacA+/babA2+/oipA+). The mean survival time for patients with H. pylori two-genotype infection was 69.52 ± 3.72 months and with H. pylori three-genotype infection was 56.16 ± 3.23 months. However, the overall survival of patients infected with vacA+/babA2+/oipA+ genotype strain was decreased, but there was no statistically significant difference between the two groups (P=0.148; Figure 2).Figure 2
Overall survival time of gastric cancer patients infected withH. pylori two-genotypes combination (vacA+/babA2+, vacA+/oipA+ and babA2+/oipA+) and H. pylori three-genotypes combination (vacA+/babA2+/oipA+).


## 3.1. Detection ofH. pylori cagA, vacA, iceA2, babA2, and oipA Virulence Genes in Chronic Gastritis, Precancerous Gastric Lesions, and Gastric Cancer

A total of 200H. pylori-positive samples was examined for 16s rRNA and ureA gene detection; out of which 166 patients (83%) were positive for both 16s rRNA and ureA genes. These patients were divided into three groups: chronic gastritis (n = 44), precancerous gastric lesions including AG and IM (n = 52), and GC (n = 70). All patients were not significantly different in age and gender. The patient’s demographic data are summarized in Table 2. The vacA (73%) gene was mainly present in chronic gastritis followed by cagA (68%), babA2 (59%), oipA (27%), and iceA2 (9%). The babA2 (62%) gene was mainly present in precancerous gastric lesions followed by cagA and oipA (46%), vacA (27%), and iceA2 (19%). Interestingly, babA2 and oipA (91%) were almost present in GC followed by vacA (60%), cagA (26%), and iceA2 (16%). The iceA2 gene was the lowest frequency of detection in all clinical outcomes. The frequency of cagA, vacA, iceA2, babA2, and oipA genes is shown in Figure 1. The presence of vacA, babA2, and oipA genes was significantly different between clinical outcomes (P=0.036, 0.042 and 0.039, respectively).Table 2
Demographic characteristics.
Chronic
Precancerous lesions
Gastric cancer
P value
(n = 44)
(n = 52)
(n = 70)
Age: mean
43 ± 1.6
46 ± 2.4
52 ± 1.2
0.192
Gender: male/female (%)
63.6/32.4
46.2/43.8
45.2/44.8
0.082
Pathological characteristic of gastric cancer patients (n = 70)
Location of tumorn (%)
Upper
12 (17.15)
Middle
36 (51.42)
Lower
22 (31.43)
Tumor sizen (%)
<70 mm
18 (25.72)
≥70 mm
52 (74.28)
Histologic typen (%)
Differentiated
54 (77.14)
Undifferentiated
16 (22.86)
Lymphatic invasionn (%)
Absent
46 (65.71)
Present
24 (34.29)
Vascular invasionn (%)
Absent
62 (88.57)
Present
8 (11.43)
Pathological T stagen (%)
T1-T2
22 (31.43)
T3-T4
48 (68.57)
Pathological TNM stagen (%)
I
8 (11.43)
II
14 (20.0)
III
36 (51.43)
IV
12 (17.14)
Residual tumorn (%)
No residual tumor
52 (74.28)
Microscopic
6 (8.57)
Gross (unresectable)
12 (17.14)
CEAn (%)
<5.0 (ng/ml)
42 (60.0)
≥5.0 (ng/ml)
28 (34.29)
Comparisons between the groups were done by using ANOVA.P<0.05 considered as statistically significant.Figure 1
The frequency of cagA, vacA, iceA2, babA2, and oipA genes in each clinical outcome.


## 3.2. Association between the Presence ofvacA, babA2, and oipA Genes and Clinical Outcomes

The association between the presence ofvacA, babA2, and oipA genes and clinical outcomes was assessed. Among chronic gastritis, vacA was present in H. pylori infection and was associated with significantly increased risk of chronic gastritis (OR = 2.14, 95% CI = 1.62–4.46, P=0.036). The vacA, babA2, and oipA genes were present in patients, but they were not associated with increased risk of precancerous gastric lesions. Additionally, vacA, babA2, and oipA genes were associated with increased risk of GC (OR = 1.23; 95% CI = 1.13–3.32; P=0.033, OR = 2.64; 95% CI = 1.44–4.82, P=0.024 and OR = 2.79; 95% CI = 1.58–5.41; P=0.031, respectively) (Table 3).Table 3
Virulence gene in association with clinical outcomes.
Gastric mucosa pathology/Virulence gene
Chronic
Precancerous
OR; 95% CI
P value
Precancerous
GC
OR (95% CI)
P value
(n = 44)
(n = 52)
(n = 52)
(n = 70)
VacA
32 (73%)
14 (27%)
2.14 (1.62–4.46)
0.036
14 (27%)
42 (60%)
1.23 (1.13–3.32)
0.033
BabA2
26 (59%)
32 (62%)
0.77 (0.56–0.94)
0.833
32 (62%)
64 (91%)
2.64 (1.44–4.82)
0.024
OipA
12 (27%)
24 (46%)
0.69 (0.49–0.82)
0.546
24 (46%)
64 (91%)
2.79 (1.58–5.41)
0.031
Multivariate regression model analysis used to analyze the data. OR: odds ratio; CI: confidence interval. Significance is set atP<0.05.


## 3.3.H. pylori vacA+/babA2+/oipA+ Genotype Conferred Increased Risk of GC

We examined the virulence combinations based on the analysis ofvacA, babA2, and oipA genotypes. Precancerous gastric lesions infected with vacA+/babA2+, vacA+/oipA+, babA2+/oipA+, and vacA+/bibA2+/oipA+ genotypes were 3.85%, 3.85%, 26.92%, and 11.54%, whereas GC were 2.86%, 2.86%, 34.29%, and 51.43%, respectively (Table 4). Interestingly, precancerous gastric lesions infected with H. pylori genotype combination of vacA+/bibA2+/oipA+ were highly significantly associated with increased risk of GC (OR = 3.85, 95% CI = 1.67–5.77, P=0.021), but not vacA+/babA2+, vacA+/oipA+, and bibA2+/oipA+ genotypes. Chronic gastritis was not associated with the development of precancerous gastric lesions or GC when infected with any H. pylori genotype combination (data not shown).Table 4
Virulence genotype combination in association with clinical outcomes.
Virulence gene
Precancerous gastric lesion (%)
GC (%)
OR (CI 95%)
P value
VacA
BabA2
OipA
+
+
−
2 (3.85)
2 (2.86)
0.72 (0.42–0.97)
0.634
+
−
+
2 (3.85)
2 (2.86)
0.72 (0.42–0.97)
0.634
−
+
+
14 (26.92)
24 (34.29)
0.7 (0.37–0.96)
0.091
+
+
+
6 (11.54)
36 (51.43)
4.28 (1.82–7.41)
0.021
Multivariate regression model analysis used to analyze the data. OR: odds ratio; CI: confidence interval. Significance is set atP<0.05.


## 3.4. Overall Survival of GC Patients withH. pylori Genotype Combination Infections

We examined the overall survival of GC patients that were infected withH. pylori two-genotype strains (vacA+/babA2+, vacA+/oipA+, and babA2+/oipA+) and H. pylori three-genotype strain (vacA+/babA2+/oipA+). The mean survival time for patients with H. pylori two-genotype infection was 69.52 ± 3.72 months and with H. pylori three-genotype infection was 56.16 ± 3.23 months. However, the overall survival of patients infected with vacA+/babA2+/oipA+ genotype strain was decreased, but there was no statistically significant difference between the two groups (P=0.148; Figure 2).Figure 2
Overall survival time of gastric cancer patients infected withH. pylori two-genotypes combination (vacA+/babA2+, vacA+/oipA+ and babA2+/oipA+) and H. pylori three-genotypes combination (vacA+/babA2+/oipA+).


## 4. Discussion

Our study was a cross-sectional study, which investigated the presence ofcagA, vacA, iceA2, babA2, and oipA genes in H. pylori infected patients with chronic gastritis, precancerous gastric lesions, and GC. The rate of H. pylori infection in this study was 83%, which was comparable with a retrospective study in the Northeastern region of Thailand [49] and a prospective study in Japan [36]. This study was the first report on the associations between virulence genes and the risk of chronic gastritis, precancerous gastric lesions, and GC in Thailand. Our results revealed that the vacA gene was associated with chronic gastritis whereas vacA, babA2, and oipA genes were associated with increased risk of GC. These indicated that vacA and babA2 genes influenced chronic gastritis and precancerous gastric lesions, respectively. Meanwhile, the babA2 and oipA genes had virulence potential on GC development. The babA2 and oipA genes were present mostly in H. pylori-positive GC; it seems vacA, babA2, and oipA genes exhibited different levels of virulence. It is probable that vacA alone was not directly associated with gastric carcinogenesis. Although, vacA effects on disruption of gastric epithelial barrier function and modulation of the inflammatory response, vacA also suppresses the activation of ERK1/2 mitogen-activated protein (MAP) kinase suggesting that H. pylori can avoid the induction of excess cellular damage and maintain long-term colonization [5]. Therefore, vacA individual may develop chronic gastritis.H. pylori infection induced cell-mediated immunity. Th1 cells play a central role in H. pylori immune response. Predominant Th17 expression was positively correlated with the degree of immunopathologic reactions resulting in peptic ulcers [6]. Furthermore, increasing of T-bet + cells and the mucosal INF-γ expression related to the degree of H. pylori density in infected patients can lead to ulcer or GC [7]. In addition, the roles of babA2 and oipA proteins might have the potential to exert pressure on H. pylori by enhancing the production of free radicals that cause mutations in target cells and the neoplastic clones are established [39]. Tumor necrosis factor alpha (TNF-α) plays major roles in the growth, invasion, and metastasis of neoplasm called a perigenetic pathway [50]. The TNF-α inducing protein (Tipα) from H. pylori binds to and enters the nucleus through a specific binding molecule, which acts as a carcinogen [51] and contributes to GC. Although, cagA is recognized as an oncoprotein and confers oncogenesis, the presence of cagA was not associated with any clinical outcome, suggesting that the cagA gene present in East Asian strains might not be influential of its risk enough.Interestingly, genotype combination was associated with GC. The precancerous gastric lesions withH. pylori vacA+/babA2+/oipA+ genotype infection had high association with 4.3-fold increased risk of GC development. The babA2 gene has been strongly associated with vacA and increased risk of GC development [24]; however, in this study, the babA2+/vacA+ genotype did not have increased risk of GC. Taken together, oipA was associated with higher neutrophil activity and IL-8 secretion and showed toxic effects by an apoptosis-triggered cascade via signaling that affected the Bax/Bcl-2 protein ratio and cleaved-caspase 3 level, leading to a mitochondrial apoptotic cascade [52–54]. These findings suggest that the vacA+/babA2+/oipA+genotype may contribute to the genotoxicity caused by DNA damage and aberrant methylation of genes in H. pylori-related gastric carcinogenesis. A cohort study with long-term follow-up demonstrated that infection with cagA genotype was associated with increased risk of precancerous gastric lesions progression [55, 56]. Therefore, vacA, babA2, and oipA have been implicated in the development of GC. Regarding precancerous gastric lesions after H. pylori eradication, H. pylori-induced chronic inflammation can provide the seed of cascade leading to GC, which can continuously progress even in the absence of H. pylori [57]. The patients with H. pylori and IM have more than 6.4-fold increased risk of GC than that of the patients with H. pylori but without IM [36]. However, 2.9% GC was developed in individuals during the mean follow-up of 7.8 years [36]. Therefore, precancerous gastric lesions patients infected with the H. pylori vacA+/babA2+/oipA+ genotype were prone to developing GC compared with patients infected with other combination genotypes. However, in the present study, the overall survival time of GC patients with the H. pylori vacA+/babA2+/oipA+ genotype infection was not reduced.The limitations of the present study were that subanalysis for the precancerous gastric lesions was not performed and the number of patients involved was small and there was no regular follow-up on them. Furthermore, several virulence factors ofH. pylori were not investigated. The expression of vacA, babA2, and oipA protein should be evaluated in a future study of GC carcinogenesis to determine the underlying mechanisms associated with GC development in precancerous gastric lesions patients.


## 5. Conclusion

This study provided important information regarding the presence of virulence genes in different clinical outcomes ofH. pylori infection. Precancerous gastric lesions of patients infected with H. pylori vacA+/babA2+/oipA+ genotype infection have an increased risk of GC. The H. pylori vacA+/babA2+/oipA+ genotype might prove helpful in predicting individuals in the high-risk group of GC in the Thai population.



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*Source: 7243029-2020-02-19.xml*