Association of Helicobacter pylori babA2 gene and gastric cancer risk: a meta-analysis

Kpoghomou, Marce-Amara; Wang, jinchen; Wang, Tianpei; Jin, Guangfu

doi:10.1186/s12885-020-06962-7

Cited by 22 publications

(14 citation statements)

References 48 publications

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“…The East Asian type of H. pylori , which is popular in Japan, is more carcinogenic than the European-type H. pylori [ 38 , 39 ]. In addition, the presence of H. pylori with a positive babA2 gene may contribute to an increased risk of GC, especially in the Asian population [ 39 , 40 ]. In Japan, the eradication treatment for gastric and duodenal ulcers was covered by the National Health Insurance in 2000, and H. pylori -infected gastritis was added as an indication in 2013 [ 41 ].…”

Section: Gastric Cancer In Japanmentioning

confidence: 99%

Gastric Cancer Screening in Japan: A Narrative Review

Yashima

Shabana

Kurumi

et al. 2022

JCM

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Gastric cancer is the second leading cause of cancer incidence in Japan, although gastric cancer mortality has decreased over the past few decades. This decrease is attributed to a decline in the prevalence of H. pylori infection. Radiographic examination has long been performed as the only method of gastric screening with evidence of reduction in mortality in the past. The revised 2014 Japanese Guidelines for Gastric Cancer Screening approved gastric endoscopy for use in population-based screening, together with radiography. While endoscopic gastric cancer screening has begun, there are some problems associated with its implementation, including endoscopic capacity, equal access, and cost-effectiveness. As H. pylori infection and atrophic gastritis are well-known risk factors for gastric cancer, a different screening method might be considered, depending on its association with the individual’s background and gastric cancer risk. In this review, we summarize the current status and problems of gastric cancer screening in Japan. We also introduce and discuss the results of gastric cancer screening using H. pylori infection status in Hoki-cho, Tottori prefecture. Further, we review risk stratification as a system for improving gastric cancer screening in the future.

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Section: Gastric Cancer In Japanmentioning

confidence: 99%

Gastric Cancer Screening in Japan: A Narrative Review

Yashima

Shabana

Kurumi

et al. 2022

JCM

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“…The following examples of proof are provided: in addition, (a) cagW contains 6 transmembrane helices, which is similar to the VirB6 family members; (b) the amino acid content of the last predicted transmembrane helix in cagW is rich in valine/leucine/isoleucine, which is considered to be essential for VirB6 function; (c) both cagW and VirB6 contain a significant tryptophan residue within a conserved motif preceding the last predicted trans. As a result, it has been postulated that the cagW performs a role similar to that of the VirB6 protein (Chehelgerdi & Doosti, 2020 ; Kpoghomou et al, 2020 ; Martín-Núñez et al, 2020 ). Toll-like receptors (TLRs) are the most extensively studied pathogen recognition receptors (PRRs) (Khanmohammadi & Rezaei, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Immunoinformatic prediction of potential immunodominant epitopes from cagW in order to investigate protection against Helicobacter pylori infection based on experimental consequences

Chehelgerdi

Heidarnia

Dehkordi

et al. 2023

Funct Integr Genomics

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Helicobacter pylori is a leading cause of stomach cancer and peptic ulcers. Thus, identifying epitopes in H. pylori antigens is important for disease etiology, immunological surveillance, enhancing early detection tests, and developing optimal epitope-based vaccines. We used immunoinformatic and computational methods to create a potential CagW epitope candidate for H. pylori protection. The cagW gene of H. pylori was amplified and cloned into pcDNA3.1 (+) for injection into the muscles of healthy BALB/c mice to assess the impact of the DNA vaccine on interleukin levels. The results will be compared to a control group of mice that received PBS or cagW-pcDNA3.1 (+) vaccinations. An analysis of CagW protein antigens revealed 8 CTL and 7 HTL epitopes linked with AYY and GPGPG, which were enhanced by adding B-defensins to the N-terminus. The vaccine’s immunogenicity, allergenicity, and physiochemistry were validated, and its strong activation of TLRs (1, 2, 3, 4, and 10) suggests it is antigenic. An in-silico cloning and immune response model confirmed the vaccine’s expression efficiency and predicted its impact on the immune system. An immunofluorescence experiment showed stable and bioactive cagW gene expression in HDF cells after cloning the whole genome into pcDNA3.1 (+). In vivo vaccination showed that pcDNA3.1 (+)-cagW-immunized mice had stronger immune responses and a longer plasmid DNA release window than control-plasmid-immunized mice. After that, bioinformatics methods predicted, developed, and validated the three-dimensional structure. Many online services docked it with Toll-like receptors. The vaccine was refined using allergenicity, antigenicity, solubility, physicochemical properties, and molecular docking scores. Virtual-reality immune system simulations showed an impressive reaction. Codon optimization and in-silico cloning produced E. coli-expressed vaccines. This study suggests a CagW epitopes-protected H. pylori infection. These studies show that the proposed immunization may elicit particular immune responses against H. pylori , but laboratory confirmation is needed to verify its safety and immunogenicity.

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“…GC is a multifactorial disease caused by a combination of environmental factors and genetic changes [ 4 , 5 ]. Environmental risk factors for this disease include smoking [ 6 ], alcohol [ 7 ], high salt intake [ 8 ], nitrite and nitrate in some foods [ 9 ], including processed meats, high consumption of red meat smoked foods, low consumption of raw fruits and vegetables containing vitamin C and antioxidants [ 10 , 11 ], overweight and obesity [ 12 , 13 ], Helicobacter pylori [ 14 , 15 ] and low socioeconomic conditions [ 16 ], including low education and low income [ 17 – 19 ]. Approximately 90% of gastric cancers are adenocarcinomas.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of CSTB and DMBT1 expression in saliva of gastric cancer patients and controls

et al. 2022

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Background Gastric cancer (GC) is the fifth most common cancer and the third cause of cancer deaths globally, with late diagnosis, low survival rate, and poor prognosis. This case-control study aimed to evaluate the expression of cystatin B (CSTB) and deleted in malignant brain tumor 1 (DMBT1) in the saliva of GC patients with healthy individuals to construct diagnostic algorithms using statistical analysis and machine learning methods. Methods Demographic data, clinical characteristics, and food intake habits of the case and control group were gathered through a standard checklist. Unstimulated whole saliva samples were taken from 31 healthy individuals and 31 GC patients. Through ELISA test and statistical analysis, the expression of salivary CSTB and DMBT1 proteins was evaluated. To construct diagnostic algorithms, we used the machine learning method. Results The mean salivary expression of CSTB in GC patients was significantly lower (115.55 ± 7.06, p = 0.001), and the mean salivary expression of DMBT1 in GC patients was significantly higher (171.88 ± 39.67, p = 0.002) than the control. Multiple linear regression analysis demonstrated that GC was significantly correlated with high levels of DMBT1 after controlling the effects of age of participants (R2 = 0.20, p < 0.001). Considering salivary CSTB greater than 119.06 ng/mL as an optimal cut-off value, the sensitivity and specificity of CSTB in the diagnosis of GC were 83.87 and 70.97%, respectively. The area under the ROC curve was calculated as 0.728. The optimal cut-off value of DMBT1 for differentiating GC patients from controls was greater than 146.33 ng/mL (sensitivity = 80.65% and specificity = 64.52%). The area under the ROC curve was up to 0.741. As a result of the machine learning method, the area under the receiver-operating characteristic curve for the diagnostic ability of CSTB, DMBT1, demographic data, clinical characteristics, and food intake habits was 0.95. The machine learning model’s sensitivity, specificity, and accuracy were 100, 70.8, and 80.5%, respectively. Conclusion Salivary levels of DMBT1 and CSTB may be accurate in diagnosing GCs. Machine learning analyses using salivary biomarkers, demographic, clinical, and nutrition habits data simultaneously could provide affordability models with acceptable accuracy for differentiation of GC by a cost-effective and non-invasive method.

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Association of Helicobacter pylori babA2 gene and gastric cancer risk: a meta-analysis

Cited by 22 publications

References 48 publications

Gastric Cancer Screening in Japan: A Narrative Review

Gastric Cancer Screening in Japan: A Narrative Review

Immunoinformatic prediction of potential immunodominant epitopes from cagW in order to investigate protection against Helicobacter pylori infection based on experimental consequences

Evaluation of CSTB and DMBT1 expression in saliva of gastric cancer patients and controls

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