Meta-analysis of the association of CYP1A1 polymorphisms with gastric cancer susceptibility and interaction with tobacco smoking

Dose-response association between cigarette smoking and gastric cancer risk: a systematic review and meta-analysis

This study aims at providing an accurate and up-to-date quantification of the dose-response association between cigarette smoking and gastric cancer (GC) risk, overall and by subsite. We conducted a systematic review and meta-analysis of case-control and cohort studies on the association between cigarette smoking and GC risk published up to January 2023. We estimated pooled relative risks (RR) of GC and its subsites according to smoking status, intensity, duration, and time since quitting. Among 271 eligible articles, 205 original studies were included in this meta-analysis. Compared with never smokers, the pooled RR for GC was 1.53 (95% confidence interval; CI 1.44-1.62; n = 92) for current and 1.30 (95% CI 1.23-1.37; n = 82) for former smokers. The RR for current compared with never smokers was 2.08 (95% CI 1.66-2.61; n = 21) for gastric cardia and 1.48 (95% CI 1.33-1.66; n = 8) for distal stomach cancer. GC risk nonlinearly increased with smoking intensity up to 20 cigarettes/day (RR:1.69; 95% CI 1.55-1.84) and levelled thereafter. GC risk significantly increased linearly with increasing smoking duration (RR: 1.31; 95% CI 1.25-1.37 for 20 years) and significantly decreased linearly with increasing time since quitting (RR: 0.65; 95% CI 0.44-0.95 for 30 years since cessation). The present meta-analysis confirms that cigarette smoking is an independent risk factor for GC, particularly for gastric cardia. GC risk increases with a low number of cigarettes up to 20 cigarettes/day and increases in a dose-dependent manner with smoking duration.

Performance evaluation of four prediction models for risk stratification in gastric cancer screening among a high-risk population in China

OBJECTIVE

Early detection of gastric cancer (GC) is a critical step for decreasing mortality. The aim of this study was to evaluate the performance of four prediction models for risk stratification in the screening of GC and precancerous lesions among a large, high-risk population in China.

DESIGN

This study was a retrospective analysis of data from the Provincial Gastric Cancer Screening Program (Zhejiang, China) spanning the period between October 2016 and April 2019, in which 97,541 individuals from the urban areas of 10 cities in Zhejiang province, China participated in this program. Demographic and clinical characteristics data were collected, and serum pepsinogens I and II, gastrin-17, and anti-H. pylori IgG antibody were detected. Participants were asked to voluntarily undergo gastroscopy. The performance of the ABC method, new ABC method, Tu's prediction model, and Li's prediction model, which stratified participants into low-, medium- and high-risk subgroups, were evaluated using the area under the receiver-operating characteristic (ROC) curve (AUC) and Youden index.

RESULTS

Among the participants, 6005 (3447 males and 2558 females, mean age of 58.35 years), voluntarily underwent gastroscopy. Overall, 72 (1.20%) GC cases (30 early and 42 advanced) and 2006 cases with precancerous lesions (270 atrophic gastritis, 1634 intestinal metaplasia, and 102 dysplasia/intraepithelial neoplasia) were identified. Notably, Li's prediction model achieved the greatest AUC and Youden index values (0.708 and 0.319, respectively) for predicting GC, and exhibited the greatest ability to detect precancerous lesions, especially intestinal metaplasia.

CONCLUSION

Li's prediction model performs the best for risk stratification in the screening, detection, and diagnosis of GC and precancerous lesions, whereas the overall performance of the other three models is similar ( www.chictr.org.cn , ChiCTR2100043363).

The rs9953490 polymorphism of DAL-1 gene is associated with gastric cancer risk in the Han population in Northeast China

Background

DAL-1 gene was reported to inhibit proliferation, migration, invasion, and epithelial to mesenchymal transition (EMT) of gastric cancer (GC) cells in our previous study. The association between the genomic variants in DAL-1 gene with risk of GC is still unclear.

Methods

In this study, 505 GC cases and 544 healthy controls (HCs) were collected to evaluate the association between six single nucleotide polymorphisms (SNPs) (rs7240736, rs73937194, rs3817466, rs8082898, rs73381527, rs9953490) of DAL-1 gene and GC risk in the Han population in Northeast China.

Results

The TA + AA genotypes of rs9953490 were significantly associated with an increased risk in N3 compared with N0 subgroup (adjusted OR = 4.56, 95% CI = 1.49–13.98, P = 0.008), and also showed evident association with an increased risk in TNM stage III compared with stage I-II (adjusted OR = 2.33, 95% CI = 1.16–4.67, P = 0.017).

Conclusion

The rs9953490 of DAL-1 gene may play an important role in the occurrence and development of GC in the Han population in Northeast China.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12876-021-01929-9.

XAB2 TagSNP Is Associated with the Risk of Gastric Cancer in Chinese Population: A Case-Control Study

XAB2 protein (xeroderma pigmentosum group A-binding protein 2) plays a significant role in the nucleotide excision repair pathway. Polymorphisms in the XAB2 gene may have an effect on the capability of DNA repair and further contribute to the risk of developing various cancers. In order to investigate the relationship between XAB2 genetic variants and the risk of gastric cancer, we performed a hospital-based case–control study. XAB2 tagSNPs were selected and then genotyped by iPlex Gold Genotyping Assay and Sequenom MassArray. By performing logistic regression analysis, odds ratio (OR) and 95% confidence interval (CI) were used to estimate the association of XAB2 tagSNPs with the risk of gastric cancer. Our results showed that XAB2 rs794078AA genotype was associated with a significantly lower risk of gastric cancer compared with GG genotype with OR (95% CI) of 0.33 (0.12–0.91). Stratified analysis indicated a significantly decreased risk for gastric cancer among smokers with rs794078AA genotype compared with nonsmokers with GG genotype (OR = 0.11, 95% CI = 0.01–0.91, p = 0.040). The gene–gene interactions by multifactor dimensionality reduction (MDR) showed that tagSNP rs794078 was the best predictive element for gastric cancers (Testing Bal. Acc = 51.68%, p = 0.055, cross-validation consistency = 9). Therefore, the XAB2 tagSNP rs794078 may play an important role in the development of gastric cancer.

Development and validation of a prediction rule for estimating gastric cancer risk in the Chinese high-risk population: a nationwide multicentre study

OBJECTIVE

To develop a gastric cancer (GC) risk prediction rule as an initial prescreening tool to identify individuals with a high risk prior to gastroscopy.

DESIGN

This was a nationwide multicentre cross-sectional study. Individuals aged 40-80 years who went to hospitals for a GC screening gastroscopy were recruited. Serum pepsinogen (PG) I, PG II, gastrin-17 (G-17) and anti-Helicobacter pylori IgG antibody concentrations were tested prior to endoscopy. Eligible participants (n=14 929) were randomly assigned into the derivation and validation cohorts, with a ratio of 2:1. Risk factors for GC were identified by univariate and multivariate analyses and an optimal prediction rule was then settled.

RESULTS

The novel GC risk prediction rule comprised seven variables (age, sex, PG I/II ratio, G-17 level, H. pylori infection, pickled food and fried food), with scores ranging from 0 to 25. The observed prevalence rates of GC in the derivation cohort at low-risk (≤11), medium-risk (12-16) or high-risk (17-25) group were 1.2%, 4.4% and 12.3%, respectively (p<0.001).When gastroscopy was used for individuals with medium risk and high risk, 70.8% of total GC cases and 70.3% of early GC cases were detected. While endoscopy requirements could be reduced by 66.7% according to the low-risk proportion. The prediction rule owns a good discrimination, with an area under curve of 0.76, or calibration (p<0.001).

CONCLUSIONS

The developed and validated prediction rule showed good performance on identifying individuals at a higher risk in a Chinese high-risk population. Future studies are needed to validate its efficacy in a larger population.

SNP interactions of PGC with its neighbor lncRNAs enhance the susceptibility to gastric cancer/atrophic gastritis and influence the expression of involved molecules

Multidimensional interactions of multiple factors are more important in promoting cancer initiation. Gene-gene interactions between protein-coding genes have been paid great attention, while rare studies refer to the interactions between encoding and noncoding genes. Our research group previously found encoding gene PGC polymorphisms could affect the susceptibility to atrophic gastritis (AG) and gastric cancer (GC). Interestingly, several SNPs in long noncoding RNA (lncRNA) genes, just adjacent to PGC, were found to be associated with AG risk and GC prognosis afterward. This study aims to explore the SNP interactions between PGC and its neighbor lncRNAs on the risk of AG and GC. Genotyping for seven PGC SNPs and seven lncRNA SNPs was conducted using Sequenom MassARRAY platform in a total of 2228 northern Chinese subjects, including 536 GC cases, 810 AG cases, and 882 controls. We found 15 pairwise PGC-lncRNAs SNPs had interactions: Five pairs were associated with AG risk, and ten pairs were associated with GC risk. Moreover, two GC-related interactions PGC rs6939861 with lnc-C6orf-132-1 rs7749023 and rs7747696 survived the Bonferroni correction (P_correction  = 0.049 and 0.007, respectively). Several combinations showed obvious epistasis and cumulative effects on disease risk. Some three-way interactions of SNPs with smoking and drinking could also be observed. Besides, a few interacting SNPs showed correlations with the expression levels of PGC protein and related lncRNAs in serum. Our study would provide research clues for further screening combination biomarkers uniting both protein-coding and noncoding genes with the potential in prediction of the susceptibility to GC and its precursor.

Polymorphisms in human telomerase reverse transcriptase (hTERT) gene, gene- gene and gene-smoking interaction with susceptibility to gastric cancer in Chinese Han population

Aims

To investigate the association of telomerase reverse transcriptase (TERT) gene polymorphisms and additional gene-gene and gene- environment interaction with gastric cancer (GC) risk.

Results

GC risk was significantly higher in carriers of G allele of rs2736100 than those with TT genotype (TG+ GG versus TT), adjusted OR (95%CI) =1.68 (1.26-2.17), and higher in carriers of G allele of rs2853669 than those with AA genotype (AG+ GG versus AA), adjusted OR (95%CI) = 1.72 (1.19-2.33). We also found that interaction between rs2736100 and smoking was associated with higher GC risk. Smokers with TG or GG of rs2736100 genotype have elevated GC risk, compared to never- smokers with TT of rs2736100 genotype, OR (95%CI) = 3.12 (1.82 -4.61). Pairwise linkage equilibrium (LD) analysis between SNPs was measured and the D’ value between rs2736100 and rs2736109 was more than 0.8. A haplotype containing the rs2736100- G and rs2736109- A alleles was associated with a statistically increased GC risk (OR= 2.66, 95%CI= 1.28 – 4.12, p<0.0001).

Materials and Methods

A total of 1088 participants (686 males, 402 females) were selected, including 360 GC patients and 728 normal participants. Logistic regression was performed to investigate association between single nucleotide polymorphisms (SNPs) within TERT gene and GC susceptibility. Generalized multifactor dimensionality reduction (GMDR) model was used to screen gene- gene and gene- environment interaction combinations.

Conclusions

We found that G allele of rs2736100 and G allele of rs2853669 in TERT gene, interaction between rs2736100 and smoking, and haplotype containing the rs2736100- G and rs2736109- A alleles were all associated with increased GC risk.

CYP1A1, GSTM1 and GSTT1 genetic polymorphisms and gastric cancer risk among Japanese: A nested case-control study within a large-scale population-based prospective study

Cytochrome P450 (CYP) 1A1 and glutathione S-transferases (GST) M1 and T1 are major enzymes in the carcinogen metabolizing pathway. We examined the association between single nucleotide polymorphisms (SNPs) of CYP1A1 (rs4646421, rs4646422 and rs1048943), GSTM1 and GSTT1 and gastric cancer risk in Japan. This is a nested case-control study (457 cases and 457 matched controls) of our population-based cohort involving 36,745 subjects who answered a baseline questionnaire and supplied blood samples. The odds ratios (ORs) and their corresponding 95% confidence intervals (CIs) were calculated using conditional logistic regression models. We found that CYP1A1 (rs4646422) variant allele was associated with a statistically significant increased risk of gastric cancer compared with the homozygous wild-type genotype (OR = 1.65; 95% CI = 1.17-2.32). GSTM1 null, GSTT1 null and GSTM1/T1 both or either null genotypes were associated with increased risk, but not statistically significantly. Combination of the CYP1A1 (rs4646422) variant allele and GSTM1/T1 both or either null genotypes was associated with a statistically significant increased risk compared with the combination of the CYP1A1 homozygous wild-type genotype and the GSTM1/T1 both active genotypes. In addition, compared with CYP1A1 (rs4646422) homozygous wild-type genotypes in those who were never-smokers, CYP1A1 variant alleles in those who smoked ≥30 pack-years were associated with an increased risk; neither gene-gene nor gene-environment interactions were significant. The CYP1A1 (rs4646422) polymorphism might be involved in gastric carcinogenesis among the Japanese population.

Meta-analysis of association studies of CYP1A1 genetic polymorphisms with digestive tract cancer susceptibility in Chinese

BACKGROUND

A great number of studies have shown that cytochrome P450 1A1 (CYP1A1) genetic polymorphisms, CYP1A1 Msp I and CYP1A1 Ile/Val, might be risk factors for digestive tract cancers, including esophageal cancer (EC), gastric cancer (GC), hepatic carcinoma (HC), as well as colorectal cancer (CC), but the results are controversial. In this study, a meta-analysis of this literature aimed to clarify associations of CYP1A1 genetic polymorphisms with digestive tract cancer susceptibility in Chinese populations.

MATERIALS AND METHODS

Eligible case-control studies published until December 2013 were retrieved by systematic literature searches from PubMed, Embase, CBM, CNKI and other Chinese databases by two investigators independently. The associated literature was acquired through deliberate search and selection based on established inclusion criteria. Fixed- effects or random-effects models were used to estimate odds ratios (ORs and 95%CIs). The meta-analysis was conducted using Review Manager 5.2 and Stata 12.0 softwares with stability evaluated by both stratified and sensitivity analyses. Moreover, sensitivity analysis and publication bias diagnostics confirmed the reliability and stability.

RESULTS

Eighteen case control studies with 1, 747 cases and 2, 923 controls were selected for CYP1A1 MspI polymorphisms, and twenty case-control studies with 3, 790 cases and 4, 907 controls for the CYP1A1 Ile/ Val polymorphisms. Correlation associations between CYP1A1 Ile/Val polymorphisms and digestive tract cancers susceptibility were observed in four genetic models in the meta-analysis (GG vs AA:OR= 2.03, 95%CI =1.52- 2.72; AG vs AA: OR=1.26, 95%CI =1.07-1.48; [ GG+AG vs AA] :OR =1.42, 95%CI=1.20-1.68, [GG vs AA+AG ]:OR=1.80, 95%CI =1.40-2.31). There was no association between CYP1A1 Msp I polymorphisms and digestive tract cancer risk. Subgroup analysis for tumor type showed a significant association of CYP1A1 Ile/Val genetic polymorphisms with EC in China. However, available data collected by the study failed to reveal remarkable associations of GC or HC with CYP1A1 Ile/Val genetic polymorphisms and EC, GC or CC with CYP1A1 MspI genetic polymorphisms.

CONCLUSIONS

Our results indicated that CYP1A1 Ile/Val genetic polymorphisms, but not CYP1A1 Msp I polymorphisms, are associated with an increased digestive tract cancer risk in Chinese population. Additional well-designed studies, with larger sample size, focusing on different ethnicities and cancer types are now warranted to validate this finding.

Biomarkers for gastric cancer: Progression in early diagnosis and prognosis (Review)

Gastric cancer is one of leading causes of cancer-related mortality worldwide and is a notable disease due to its heterogeneity. Recently, numerous studies have investigated the molecular basis of gastric cancer, involving the alteration of pathogenesis, and invasion and metastasis. With the development of modern technologies, various novel biomarkers had been identified that appear to possess diagnostic and prognostic value; therefore, the present review describes our current knowledge of biomarkers for the early diagnosis and prognosis of gastric cancer. Classic biomarkers for gastric cancer diagnosis include carcinoembryonic antigen and cancer antigen 19-9, while microRNA and DNA hypomethylation are proposed as novel biomarkers. Excluding classical biomarkers, biomarkers for determining the progression and prognosis of gastric cancer focus on targeting microRNAs, epigenetic alterations and genetic polymorphisms.

The effect of CYP1A1 and CYP1A2 polymorphisms on gastric cancer risk among different ethnicities: a systematic review and meta-analysis

Potential Cytochrome P450s (CYPs) 1A1 MspI, 1A1 Ile462Val, 1A2*1 F, and/or 1A2*1C polymorphisms have been implicated in gastric cancer risk among different ethnicities. We aimed to explore the effect of CYP 1A1 MspI, 1A1 Ile462Val, 1A2*1 F, and/or 1A2*1C polymorphisms on the susceptibility to gastric cancer among different ethnicities through a systematic review and meta-analysis. Each initially included article was scored for quality appraisal. Desirable data were extracted and registered into databases. A number of 11 studies were ultimately eligible for the meta-analysis of CYP1A1 MspI polymorphism, eight studies for the meta-analysis of 1A1 Ile462Val polymorphism, and two studies for the meta-analysis of 1A2*1 F polymorphism. None of genetic model was evidently suggested, and thus all the genetic models were presented. Potential sources of heterogeneity were sought out via subgroup and sensitivity analyses, and publication biases were estimated. In our meta-analysis, significant results could be found in mutational heterozygous CT genotype, compared with wild TT genotype, among large sample size subgroup for CYP1A1 MspI polymorphism. Regarding CYP1A1 Ile462Val polymorphism, no statistically significant results could be found. For CYP1A2*1 F polymorphism, mutational heterozygous AC genotype, compared with wild-type AA, has deleterious effects, whereas mutational homozygous CC genotype, compared with mutational heterozygous type AC, has protective effects but lacks statistically significant difference despite its a proximity to 0.05. Combined mutational homozygous CC genotype and wild-type homozygous AA, compared with mutational heterozygous AC genotype, has protective effects. Our meta-analysis suggests no associations between CYP1A1 Ile462Val polymorphism and gastric cancer, but possible associations between CYP1A1 MspI and CYP1A2*1 F polymorphisms and gastric cancer, which needs to be further reinforced or refuted among different ethnicities in well-designed large-scale high-quality studies.

Quantitative assessment of the influence of tumor necrosis factor alpha polymorphism with gastritis and gastric cancer risk

Tumor necrosis factor alpha (TNFA) is an important molecule in inflammatory, infectious, and tumoral processes. Inflammation is one of the early phases in the development of gastric cancer (GC). Therefore, several studies have examined the association of polymorphism in TNFA with gastritis and GC risk. A functional polymorphism, -308G>A (rs1800629), which is located in the promoter of TNFA gene, has been suggested to alter the production of TNF-α and influence cancer risk. To date, a number of studies have been carried out to investigate the relationship between the polymorphism and gastritis or GC susceptibility, but the results were conflicting. To investigate this inconsistency, we performed a meta-analysis of 36 studies for TNFA -308G>A polymorphism to evaluate the effect of TNFA on genetic susceptibility for gastritis and GC. An overall random-effects per-allele odds ratio of 1.16 (95 % confidence interval 1.04-1.29, P = 0.008) was found for the polymorphism. Significant results were also observed using dominant or recessive genetic models. In the subgroup analyses by ethnicity, significant results were found in Caucasians, whereas no significant associations were found among East Asians and other ethnic populations. No associations between the polymorphism and gastritis were observed. In addition, our data indicate that TNFA is involved in GC susceptibility and confers its effect primarily in diffuse type of tumors. Besides, -308G>A polymorphism was found to be significantly associated with both cardiac and noncardiac tumors. This meta-analysis demonstrated that the TNFA -308G>A polymorphism is a risk factor for developing GC, but the associations vary in different ethnic populations.