Risk Of Noncardia Gastric Cancer Research Articles

Association Study between SNPs in MST1 and MST2 and H. pylori Infection as well as Noncardia Gastric Carcinogenesis

Introduction: Gastric cancer (GC) remains a global health challenge, and H. pylori infection is a main risk factor for noncardia GC. The present study aimed to investigate the association between single nucleotide polymorphisms (SNPs) in mammalian sterile 20-like kinase 1 (MST1) and MST2, H. pylori (H. pylori) infection, and the risk of noncardia gastric cancer (GC). Methods: A case-control study was conducted using enzyme-linked immunosorbent assay (ELISA) and TaqMan method to detect the titer of anti-H. pylori antibody in normal human serum and genotype 9 SNPs of MST1 and MST2 genes among 808 samples. Unconditional logistic regression was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) for the association between SNPs and H. pylori infection, as well as the risk of noncardia gastric cancer in codominant, dominant, overdominant, recessive, and log-additive genetic models. Haplotypes were constructed using the Haploview 4.2 software. Results: The CC genotype of MST2 SNP rs10955176 was associated with a reduced risk of H. pylori infection compared to the TT + CT genotype. None of other SNPs were associated with H. pylori infection. The TT genotype of MST2 SNP rs7827435 was associated with a reduced risk of noncardia gastric cancer compared to the AA + AT genotype. None of the SNPs were associated with noncardia gastric cancer. There were no associations between haplotypes and H. pylori infection or the risk of noncardia gastric cancer. Conclusions: The CC genotype of rs10955176 and the TT genotype of rs7827435 may serve as protective factors against H. pylori infection and noncardia gastric cancer risk, respectively.

Polyphenol intake and gastric cancer: A case-control study in the Brazilian Amazon region

BackgroundPolyphenol intake has been associated with a decreased risk of some types of cancer, including gastric cancer (GC). However, few studies address this topic in the Latin American population. In the present study, we evaluated the association between polyphenol intake and the risk of GC in the Brazilian Amazon region. MethodsA case-control study was conducted in Belém (Amazon region) from July 2017 to February 2021. A total of 193 GC cases and 194 controls of both sexes, between 18 and 75 years old, were included in the study. Dietary data were collected using a validated food-frequency questionnaire and polyphenol intake identified using the Phenol-Explorer database. Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CI), with adjustement for potential confounders. ResultsCases and controls had similar total polyphenol intake (356.4 mg/1000 kcal/d and 331.1 mg/1000 kcal/d, respectively; p = 0.086). After adjusting for potential confounders, high consumption of flavan-3-ols (highest vs. lowest tertile: OR 0.41, 95% CI 0.18–0.94) and hydroxybenzoic acids (highest vs. lowest tertile: OR 0.24, 95% CI 0.10–0.56) was associated with a decreased risk of GC. The opposite was true regarding the intake of flavones (OR 2.46, 95% IC 1.17–5.18) and other polyphenols (OR 2.54, 95% IC 1.16–5.54). When stratifying according to anatomical topography, we observed that the intake of total flavonoids, flavan-3-ols, and flavanones reduced the risk of cardia GC while that of hydroxybenzoic acids reduced the risk of non-cardia GC. In addition, the intake of flavones and other polyphenols was associated with an increased risk of non-cardia GC. According to histologic subtypes, hydroxybenzoic acid intake was associated with a reduced risk of intestinal-type GC (OR 0.21, 95% IC 0.07–0.64), while flavone consumption was associated with an increased risk of diffuse-type GC (OR 2.59, 95% IC 1.05–6.42). ConclusionsOur findings suggest that in the Brazilian Amazon region the high intake of flavan-3-ols and hydroxybenzoic acids is associated with a reduced risk of GC, suggesting a potential beneficial role of these compounds against GC.

Circulating hormones and risk of gastric cancer by subsite in three cohort studies

BackgroundObesity has been positively associated with gastric cancer. Excess fat impacts hormones, which have been implicated in carcinogenesis. We investigated obesity-related hormones and cardia gastric cancer (CGC) and non-cardia gastric cancer (NCGC) risk.MethodsNested case–control studies were conducted within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort (61 CGCs, and 172 NCGCs and matched controls) and the Alpha-Tocopherol, Beta-Carotene Cancer Prevention (ATBC) study (100 CGCs and 65 NCGCs and matched controls); serum hormones were measured. In UK-Biobank (n = 458,713), we included 137 CGCs and 92 NCGCs. Sex-specific analyses were conducted. For EPIC and ATBC, odds ratios (ORs), and for UK-Biobank hazard ratios (HRs), were estimated using conditional logistic regression and Cox regression, respectively.ResultsInsulin-like growth-factor-1 was positively associated with CGC and NCGC in EPIC men (ORper 1-SD increase 1.94, 95% CI 1.03–3.63; ORper 1-SD increase 1.63, 95% CI 1.05–2.53, respectively), with similar findings for CGC in UK-Biobank women (HRper 1-SD increase 1.76, 95% CI 1.08–2.88). Leptin in EPIC men and C-peptide in EPIC women were positively associated with NCGC (ORT3 vs. T1 2.72, 95% CI 1.01–7.34 and ORper 1-SD increase 2.17, 95% CI 1.19–3.97, respectively). Sex hormone-binding globulin was positively associated with CGC in UK-Biobank men (HRper 1-SD increase 1.29, 95% CI 1.02–1.64). Conversely, ghrelin was inversely associated with NCGC among EPIC and ATBC men (ORper 1-SD increase 0.53, 95% CI 0.34–0.84; ORper 1-SD increase 0.22, 95% CI 0.10–0.50, respectively). In addition, dehydroepiandrosterone was inversely associated with CGC in EPIC and ATBC men combined.ConclusionsSome obesity-related hormones influence CGC and NCGC risk.

Helicobacter pylori multiplex serology and risk of non-cardia and cardia gastric cancer: a case-cohort study and meta-analysis.

Helicobacter pylori infection is a major cause of non-cardia gastric cancer (NCGC), but uncertainty remains about the associations between sero-positivity to different H. pylori antigens and risk of NCGC and cardia gastric cancer (CGC) in different populations. A case-cohort study in China included ∼500 each of incident NCGC and CGC cases and ∼2000 subcohort participants. Sero-positivity to 12 H. pylori antigens was measured in baseline plasma samples using a multiplex assay. Hazard ratios (HRs) of NCGC and CGC for each marker were estimated using Cox regression. These were further meta-analysed with studies using same assay. In the subcohort, sero-positivity for 12 H. pylori antigens varied from 11.4% (HpaA) to 70.8% (CagA). Overall, 10 antigens showed significant associations with risk of NCGC (adjusted HRs: 1.33 to 4.15), and four antigens with CGC (HRs: 1.50 to 2.34). After simultaneous adjustment for other antigens, positive associations remained significant for NCGC (CagA, HP1564, HP0305) and CGC (CagA, HP1564, HyuA). Compared with CagA sero-positive only individuals, those who were positive for all three antigens had an adjusted HR of 5.59 (95% CI 4.68-6.66) for NCGC and 2.17 (95% CI 1.54-3.05) for CGC. In the meta-analysis of NCGC, the pooled relative risk for CagA was 2.96 (95% CI 2.58-3.41) [Europeans: 5.32 (95% CI 4.05-6.99); Asians: 2.41 (95% CI 2.05-2.83); Pheterogeneity<0.0001]. Similar pronounced population differences were also evident for GroEL, HP1564, HcpC and HP0305. In meta-analyses of CGC, two antigens (CagA, HP1564) were significantly associated with a higher risk in Asians but not Europeans. Sero-positivity to several H. pylori antigens was significantly associated with an increased risk of NCGC and CGC, with varying effects between Asian and European populations.

Exposure to Commonly Used Drugs and the Risk of Gastric Cancer: An Umbrella Review of Meta-Analyses.

Recently, attention has been paid to some medications and gastric cancer (GC) risk. This review aimed to evaluate associations between commonly used drugs and GC risk and to grade evidence from published systematic reviews and meta-analyses. This umbrella review was registered in PROSPERO (CRD42022320276). The systematic reviews and meta-analyses of observational studies were retrieved by searching Embase, PubMed, and Web of Science. The evidence strength of commonly used drugs and GC risk was categorized into four grades: weak, suggestive, highly suggestive, and strong. Of 19 associations between commonly used drugs and GC risk and its subtypes, none was supported by convincing or highly suggestive evidence. The risk of GC related to non-steroidal anti-inflammatory drugs (NSAIDs), non-aspirin NSAIDs, and acid-suppressive drugs, as well as the risk of non-cardia GC related to NSAIDs and aspirin, was supported by suggestive evidence. The results showed that a reduced GC risk was associated with two drug types (NSAIDs and non-aspirin NSAIDs), and an increased GC risk was associated with acid-suppressing drugs at the suggestive evidence level. Moreover, NSAIDs and aspirin reduced non-cardia GC risk as supported by suggestive evidence. However, the evidence supporting statins or metformin in reducing GC risk was weak, and thus future studies are required to clarify these associations.

Use of proton pump inhibitors for the risk of gastric cancer.

This study aimed to systematically analyze the association between long-term use of proton pump inhibitors (PPIs) and the risk of gastric cancer (GC). We performed a systematic search of articles on the relationship between long-term use of PPIs and the risk of GC from PubMed and EMBASE. We calculated the pooled odds ratio of GC in PPI users compared to non-PPI users using random-effects models. This meta-analysis included 18 studies from 20 different databases with 4348,905 patients enrolled. In the random effects model, we found that an increased risk of GC among PPI users (OR = 1.94; 95% CI [1.43, 2.64]). The long-term use of PPIs compared with histamine-2 receptor antagonist users did not increase the risk of GC (OR = 1.65; 95% CI [0.92, 2.97]). Stratified analysis showed that PPI users had a significantly increased risk of noncardia GC (OR = 2.53; 95% CI [2.03, 3.15]), but had a relatively small relationship with the risk of gastric cardia cancer. (OR = 1.79; 95% CI [1.06, 3.03]). With the extension of PPI use time, the estimated risk value decreases (<1 year: OR = 6.33, 95% CI [3.76, 10.65]; 1-3 years: OR = 1.82, 95% CI [1.30, 2.55]; >3 years: OR = 1.25, 95% CI [1.00, 1.56]). Despite Helicobacter pylori eradication, the long-term use of PPIs did not alter the increased risk of GC (OR = 2.29; 95% CI [1.57, 3.33]). Our meta-analysis found that PPI use may be associated with an increased risk of GC. Further research on the causal relationship between these factors is necessary.

A Comparison of Logistic Regression Against Machine Learning Algorithms for Gastric Cancer Risk Prediction Within Real-World Clinical Data Streams.

Noncardia gastric cancer (NCGC) is a leading cause of global cancer mortality, and is often diagnosed at advanced stages. Development of NCGC risk models within electronic health records (EHR) may allow for improved cancer prevention. There has been much recent interest in use of machine learning (ML) for cancer prediction, but few studies comparing ML with classical statistical models for NCGC risk prediction. We trained models using logistic regression (LR) and four commonly used ML algorithms to predict NCGC from age-/sex-matched controls in two EHR systems: Stanford University and the University of Washington (UW). The LR model contained well-established NCGC risk factors (intestinal metaplasia histology, prior Helicobacter pylori infection, race, ethnicity, nativity status, smoking history, anemia), whereas ML models agnostically selected variables from the EHR. Models were developed and internally validated in the Stanford data, and externally validated in the UW data. Hyperparameter tuning of models was achieved using cross-validation. Model performance was compared by accuracy, sensitivity, and specificity. In internal validation, LR performed with comparable accuracy (0.732; 95% CI, 0.698 to 0.764), sensitivity (0.697; 95% CI, 0.647 to 0.744), and specificity (0.767; 95% CI, 0.720 to 0.809) to penalized lasso, support vector machine, K-nearest neighbor, and random forest models. In external validation, LR continued to demonstrate high accuracy, sensitivity, and specificity. Although K-nearest neighbor demonstrated higher accuracy and specificity, this was offset by significantly lower sensitivity. No ML model consistently outperformed LR across evaluation criteria. Drawing data from two independent EHRs, we find LR on the basis of established risk factors demonstrated comparable performance to optimized ML algorithms. This study demonstrates that classical models built on robust, hand-chosen predictor variables may not be inferior to data-driven models for NCGC risk prediction.

Serum Pepsinogen as a Biomarker for Gastric Cancer in the United States: A Nested Case-Control Study Using the PLCO Cancer Screening Trial Data.

Gastric cancer lacks specific symptoms, resulting in diagnosis at later stages and high mortality. Serum pepsinogen is a biomarker for atrophic gastritis, a gastric cancer precursor, and may be useful to detect persons at increased risk of gastric cancer. The Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial was conducted in the United States between 1993 and 2001. ELISA-based pepsinogen tests were conducted on prediagnostic serum samples of 105 PLCO participants who developed gastric cancer and 209 age, sex, and race-matched controls. Pepsinogen positive (PG+) was defined as pepsinogen I ≤ 70 μg/L and pepsinogen I/II ratio ≤3.0. Results of conditional logistic regression models, and sensitivity and specificity, of PG+ for gastric cancer are reported. Gastric cancer cases were more likely to be PG+ (31.4% vs. 5.5%, P < 0.001) at baseline than controls. Compared to PG-, PG+ was associated with an 8.5-fold increased risk for gastric cancer [95% confidence interval (CI) = 3.8-19.4]. This risk remained significant after adjusting for Helicobacter pylori, family history of gastric cancer, education, smoking, and BMI (aOR, 10.6; 95% CI, 4.3-26.2). In subgroup analysis, PG+ individuals were 11-fold more like to develop non-cardia gastric cancer (OR, 11.1; 95% CI, 4.3-28.8); conversely, they were not significantly more likely to develop cardia gastric cancer (OR, 2.0; 95% CI = 0.3-14.2). PG+ status yielded low sensitivity but high specificity for both noncardia (44.3%; 93.6%) and cardia gastric cancer (5.7%; 97.2%). Prediagnostic serum pepsinogen levels from a large, prospective cohort study were associated with risk of gastric cancer, particularly noncardia gastric cancer. PG status may identify individuals at higher risk of noncardia gastric cancer for targeted screening or interventions. See related commentary by Zhou and Huang, p. 1257.

"True" Helicobacter pylori infection and non-cardia gastric cancer: A pooled analysis within the Stomach Cancer Pooling (StoP) Project.

Helicobacter pylori is the most important risk factor for non-cardia gastric cancer (NCGC); however, the magnitude of the association varies across epidemiological studies. This study aimed to quantify the association between H. pylori infection and NCGC, using different criteria to define infection status. A pooled analysis of individual-level H. pylori serology data from eight international studies (1325 NCGC and 3121 controls) from the Stomach Cancer Pooling (StoP) Consortium was performed. Cases and controls with a negative H. pylori infection status were reclassified as positive considering the presence of anti-Cag A antibodies, gastric atrophy, or advanced stage at diagnosis, as available and applicable. A two-stage approach was used to pool study-specific adjusted odds ratios (OR), and 95% confidence intervals (95% CI). A meta-analysis of published prospective studies assessing H. pylori seropositivity in NCGCs was conducted. The OR for the association between serology-defined H. pylori and NCGC was 1.45 (95% CI: 0.87-2.42), which increased to 4.79 (95% CI: 2.39-9.60) following the reclassification of negative H. pylori infection. The results were consistent across strata of sociodemographic characteristics, clinical features and lifestyle factors, though significant differences were observed according to geographic region-a stronger association in Asian studies. The pooled risk estimates from the literature were 3.01 (95% CI: 2.22-4.07) for ELISA or EIA and 9.22 (95% CI: 3.12-27.21) for immunoblot or multiplex serology. The NCGC risk estimate from StoP based on the reclassification of H. pylori seronegative individuals is consistent with the risk estimates obtained from the literature. Our classification algorithm may be useful for future studies.

Association between Helicobacter pylori antibodies determined by multiplex serology and gastric cancer risk: A meta-analysis.

Previous studies have reported the association between limited number of Helicobacter pylori (H. pylori) antigens and gastric cancer (GC) risk. The present study evaluated the association between serum antibodies against 15 different H.pylori proteins measured by using multiplex serologyassay and GC risk. We searched PubMed databases, Embase, Web of Science, and Cochrane Library for relevant articles. A meta-analysis was used to pool studies and to estimate odds ratios (ORs) with 95% confidence intervals (95%CIs) of different H.pylori antigens associated with GC risk. Heterogeneity was investigated using Cochran's Q test and I-squared statistic. Nine studies were identified, with a total of 3209 GC cases and 6964 controls. Five H.pylori virulence factors were significantly associated with non-cardia GC risk at p-value <0.0033 including: CagA (OR=3.22, 95%CI: 2.10-4.94), HP0305 (OR=1.72, 95%CI: 1.32-2.25), HyuA (OR=1.42, 95%CI: 1.13-1.79), Omp (OR=1.83, 95%CI: 1.30-2.58), and VacA (OR=2.05, 95%CI: 1.67-2.52). However, none of the 15 antigens was associated with cardia GC risk. In subgroup analysis by ethnicity, we identified 7 antigens associated with the risk of non-cardia GC among East Asian while only two antigens were identified in European population. Nevertheless, CagA and GroEL showed a stronger association in Caucasian (CagA OR=5.83, 95%CI: 3.31-10.26; GroEL OR=3.66, 95%CI: 1.58-8.50) compared with East Asian (CagA OR=2.20, 95% CI: 1.85-2.61; GroEL OR=1.47, 95%CI: 1.29-1.68). This study determined that H.pylori infection increases the risk of non-cardia GC with differential effects by its virulence factors and with different patterns among East Asian and European populations. These results advance the understanding of the effect of H.pylori on GC.

Geographical variation and factors associated with gastric cancer in Manitoba

ObjectivesWe investigated the spatial disparities and factors associated with gastric cancer (GC) Incidence in Manitoba.MethodsWe combined information from Manitoba Cancer registry and Census data to obtain an age-sex adjusted relative risk (IRR) of GC incidence. We geocoded the IRR to the 96 regional health authority districts (RHADs) using the postal code conversion file (PCCF). Bayesian spatial and spatio-temporal Poisson regression models were used for the analysis.ResultsAdjusting for the effect of socio-economic score index (SESI), Indigenous, and immigrant population, 25 districts with high overall GC risk were identified. One unit increase in SESI was associated with reduced risk of cardia GC (CGC) by 14% (IRR = 0.859; 95% CI: 0.780–0.947) and the risk of non-cardia GC (NCGC) by approximately 10% (IRR = 0.898; 95% CI: 0.812–0.995); 1% increase in regional Indigenous population proportion reduced the risk of CGC by 1.4% (IRR = 0.986; 95% CI: 0.978–0.994). In the analysis stratified by sex, one unit increase in SESI reduced the risk of CGC among women by 26.2% (IRR = 0.738; 95% CI: 0.618–0.879), and a 1% increase in Indigenous population proportion reduced the risk of CGC among women by 1.9% (IRR = 0.981; 95% CI: 0.966–0.996).ConclusionOur results support a significant association between SESI and NCGC. We report regional variation of GC IRR and a varying temporal pattern across the RHADs. These results could be used to prioritize interventions for regions with high and progressive risk of GC.

Circulating immune- and inflammation-related biomarkers and early-stage noncardia gastric cancer risk.

In Helicobacter pylori-driven gastric cancer, mucosal colonization induces chronic inflammation that may variably progress to cancer. Prospective studies of circulating inflammation-related proteins have suggested weak associations with gastric cancer risk. To assess potential utility as a screening tool in clinical settings, we examined circulating levels of a wide range of key inflammation molecules for associations with early-stage gastric cancer. We used pretreatment EDTA plasma from 239 individuals with early-stage noncardia gastric cancer (203 stage I and 36 stage II) and 256 age-frequency-matched H. pylori-seropositive cancer-free controls within the Hospital-based Epidemiologic Research Program at Aichi Cancer Center. Levels of 92 biomarkers were measured by proximity extension assays using Olink's Proseek Immuno-oncology Panel. Odds ratios (ORs) for association with gastric cancer risk were calculated for quantiles (two to four categories) of each biomarker from unconditional logistic regression models, adjusted for age, sex, smoking and alcohol consumption. Two-sided P values <0.05 were considered as significant. The false discovery rate (FDR) was used to correct for multiple comparisons. Of 83 evaluable biomarkers, lower levels of TNFRSF12A (per quartile OR, 0.82; nominal P-trend = 0.02) and ADGRG1 (per quartile OR, 0.84; nominal P-trend = 0.03) were associated with early-stage gastric cancer but were not statistically significant after FDR correction. Our study did not identify any inflammation-related biomarkers that may be useful for early disease detection. To date, this is the first assessment of circulating inflammation-related proteins in early-stage gastric cancer. Given the complex inflammation processes preceding malignant transformation, further investigation of other biomarkers is warranted.

Circulating Levels of Sex Steroid Hormones and Gastric Cancer

Men develop gastric cancer more frequently than women, yet little is known about the mechanisms underlying this sex difference. Sex steroid hormones may influence gastric cancer risk. We therefore assessed whether major circulating adrenal precursors, androgens and estrogens were associated with gastric cancer in a high-risk Mexican population. Blood samples were collected at time of diagnosis from 50 noncardia gastric cancer patients and 50 histologically confirmed non-atrophic gastritis controls. Serum levels of estradiol, testosterone and dehydroepiandrosterone (DHEA) measured with a validated mass spectrometry method were categorized in tertiles as low (T1), middle (T2), and high (T3). Unconditional logistic regression models were used to calculate odds ratios (ORs) and 95% confidence intervals (CI), adjusting for age, sex, and education. Levels of DHEA were inversely associated with gastric cancer (p-trend per tertile increase: <0.0001), with adjusted ORs (95% CI) of T2 and T3 (vs. T1) of 0.25 (0.09-0.70) and 0.10 (0.03-0.34), respectively. Levels of estradiol and testosterone were not significantly associated with gastric cancer. Our study provides evidence that higher concentration of circulating DHEA may be associated with lower risk of noncardia gastric cancer. Longitudinal studies are needed to evaluate the temporality of this association and investigate mechanisms of disease pathogenesis.

Serum Levels of Androgens, Estrogens, and Sex Hormone Binding Globulin and Risk of Primary Gastric Cancer in Chinese Men: A Nested Case-Control Study.

Gastric cancer shows a strong male predominance, and sex steroid hormones have been hypothesized to explain this sex disparity. Previous studies examining the associations between sex hormones and sex hormone binding globulin (SHBG) and risk of gastric cancer come primarily from western populations and additional studies in diverse populations will help us better understand the association. We performed a nested case-control study in Linxian Nutrition Intervention Trials cohorts to evaluate the associations among Chinese men, where we had sufficient cases to perform a well-powered study. Using radioimmunoassays and immunoassays, we quantitated androgens, estrogens, and SHBG in baseline serum from 328 men that developed noncardia gastric cancer and matched controls. We used multivariable unconditional logistic regression to calculate ORs and 95% confidence intervals (CI) and explored interactions with body mass index (BMI), age, alcohol drinking, smoking, and follow-up time. Subjects with SHBG in the highest quartile, as compared with those in the lowest quartile, had a significantly increased risk of gastric cancer (OR = 1.87; 95% CI, 1.01-3.44). We found some evidence for associations of sex steroid hormones in men with lower BMI. Our study found a novel association suggesting that higher serum concentrations of SHBG may be associated with risk of gastric cancer in men. We found no overall associations with sex hormones themselves, but future studies should expand the scope of these studies to include women and further explore whether BMI modifies a potential association. PREVENTION RELEVANCE: It was the first study to investigate the association of gastric cancer with prediagnostic sex steroid hormones and SHBG in an Asian male population. Although there were no overall associations for sex steroid hormone concentrations, higher concentrations of SHBG was associated with increased risk of noncardia gastric cancer.

Serum pepsinogen as a biomarker for gastric cancer: A nested case-control study using the prostate, lung, colorectal, and ovarian (PLCO) cancer screening trial data.

188 Background: Gastric cancer (GC) lacks specific symptoms, resulting in diagnosis at later stages and high mortality. Serum pepsinogen is a biomarker for atrophic gastritis, which is an intermittent phase in the development of GC. A serum based biomarker that indicates increased risk of GC would be useful for targeted prevention strategies. Methods: The Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial is a large randomized trial conducted over 10 centers in the US between 1993 and 2001. Serum samples were collected at baseline and participants were followed for development of incident GC. ELISA-based pepsinogen tests were conducted on pre-diagnostic serum samples of patients who developed GC and age, sex, and race-matched controls. Pepsinogen negative (PG-) and positive (PG+) status was determined using pepsinogen I (PGI) and pepsinogen I to II ratio (PGR). Those with PGR ≥ 3 and PGI &gt; 70µg/L were considered PG- while those with lower levels on either or both were considered PG+. Cox proportional hazard models were used to determine the hazard ratio (HR) and 95% confidence intervals (95%CI) of PG+ for GC. To examine the association of PG with non-cardia and cardia GC separately, propensity matching was used to create control subsets matched on age, sex, and race. Results: Pepsinogen test results were available on 105 GC cases (70 non-cardia and 35 cardia) and 220 matched controls. Median and range of time from pepsinogen measurement to incident GC diagnosis was 78.6 and 3.0-152.2 months, respectively. GC patients were more likely to be PG+ (31.4% vs 5.5%, p &lt; 0.001) and current smokers (20.0% vs 7.7%, p = 0.004) at baseline than controls. Compared to PG-, PG+ were at an increased risk of any GC (HR = 3.77; 95%CI = 2.50-5.71). After adjusting for family history of GC, smoking, and BMI, PG+ were still at a significantly increased risk of GC compared to PG- (adjusted HR = 4.42; 95%CI = 3.14-6.21). For 138 controls matched to 70 non-cardia cancers, PG+ were at an increased risk of non-cardia GC compared to PG- (HR = 5.65, 95%CI = 3.67-8.70; adjusted HR = 7.26, 95%CI = 4.84-10.90). For 70 controls matched to 35 cardia cancers, PG+ were not at greater risk of cardia GC compared to PG- (HR = 1.79, 95%CI = 0.72-4.44; adjusted HR = 1.95, 95%CI = 0.81-5.37). Conclusions: Pre-diagnostic serum pepsinogen levels from a large prospective cohort study predicted development of non-cardia GC but not cardia GC. PG could be considered as a potential risk biomarker to identify individuals at higher risk of non-cardia GC for targeted screening or interventions.

Modifying Effect of Chronic Atrophic Gastritis on Radiation Risk for Noncardia Gastric Cancer According to Histological Type.

The findings from previously published studies have suggested that radiation exposure is associated with increased mortality and incidence of gastric cancer. However, few cohort studies have incorporated risk factors such as Helicobacter pylori (H. pylori) infection or chronic atrophic gastritis (CAG). The current study is aimed at evaluating the modifying effect of CAG on radiation risk of noncardia gastric cancer by histological type, by reanalyzing data from a nested case-control study conducted within the longitudinal clinical cohort of atomic bomb survivors. The analysis was restricted to 297 intestinal- or diffuse-type noncardia cases and 873 controls rematched to the cases on gender, age, city, and time and type of serum storage, and countermatched on radiation dose. Multivariable-adjusted relative risks [95% confidence interval (CI)] of noncardia gastric cancer were 3.9 (2.1-7.2) for H. pylori IgG seropositivity with cytotoxin-associated gene A (CagA) IgG low titer, 2.6 (1.9-3.6) for CAG, 1.9 (1.3-2.8) for current smoking, and 1.4 (1.1-1.9) for 1 Gy irradiation. Among subjects without CAG, the relative risk (95% CI) of noncardia gastric cancer at 1 Gy was 2.3 (1.4-3.7), whereas relative risk (95% CI) at 1 Gy was 1.1 (0.8-1.5) among subjects with CAG (for the overall interaction, P = 0.012). By histological type, the risk at 1 Gy was high for diffuse type without CAG, with adjusted relative risk (95% CI) of 3.8 (2.0-7.6), but was not high for diffuse type with CAG or for intestinal-type irrespective of CAG status. The results indicate that radiation exposure is associated with increased risk of diffuse-type noncardia gastric cancer without CAG, and this association exists despite adjustment for H. pylori infection and smoking habit.

Five Serum Trace Elements Associated with Risk of Cardia and Noncardia Gastric Cancer in a Matched Case-Control Study.

BackgroundSerum trace elements have for some time been suggested to influence the development of gastric cancer, but evidence is still lacking.MethodsAll newly diagnosed patients with gastric cancer were compared with healthy controls 1:1 matched by sex, age (±3 years), and place of residence during 2013–2015. The serum concentration of all trace elements was analyzed using inductively coupled plasma mass spectrometry. Heliobacter pylori infections in cases were diagnosed using the rapid urease test, while in controls were detected using the colloidal gold method.ResultsA total of 122 cases of gastric cardia cancer (GCC) and 177 gastric noncardia cancer (NCGC), and 299 matched healthy controls were included. Positive associations were found between serum copper and copper/zinc ratio and risk of overall gastric cancer (OR4th vs 1st quartile: 2.42, 95% CI: 1.10–5.32 for copper; OR4th vs 1st quartile: 11.7, 95% CI: 3.83–35.6 for copper/zinc ratio), and for both GCC and NCGC subtypes. Serum selenium was inversely associated with the risk of NCGC (OR4th vs 1st quartile: 0.18, 95% CI: 0.07–0.51), while molybdenum seems to reduce the risk of GCC (OR4th vs 1st quartile: 0.12, 95% CI: 0.03–0.47). Strong inverse associations were also detected between serum calcium and risk of all groups of gastric cancer (all p for trend<0.05).ConclusionThe current study indicated statistically significant positive associations between serum copper, copper/zinc ratio, and gastric cancer, as well as inverse associations among selenium, molybdenum, and calcium. The results shall be carefully interpreted before further in vivo animal studies show definitive evidence.

Association analysis between SNPs in LATS1 and LATS2 and non-cardia gastric cancer

BackgroundMany studies have found that large tumor suppressor kinase 1 (LATS1) and LATS2 play important roles in many diseases, but studies have been rare on the relationship between these genes and non-cardia gastric cancer (GC). We performed a case-control association study to investigate the associations between single nucleotide polymorphisms (SNPs) in LATS1 and LATS2 genes and Helicobacter pylori (H. pylori) infection as well as the risk of non-cardia GC.MethodsFirst, H. pylori infection was determined by the serological test using enzyme-linked immunoassay. Then genotyping of SNPs was performed for 808 samples by the Taqman method. Finally, unconditional logistic regression was used to calculate the odds ratios (ORs) and 95% confidence intervals (CIs), adjusted for age and gender, for the association of each SNP with the infection of H. pylori, the risk of non-cardia gastric cancer, as well as the expression of LATS1 and LATS2 proteins in non-cardia GC tissues, using the codominant, dominant, recessive, overdominant, and log-additive inheritance models, respectively.ResultsThe statistical results showed that LATS2 rs9552315 was associated with H. pylori infection, and the CC + CT genotype could reduce the risk of H. pylori infection (odds ratio [OR]: 0.549, 95% confidence interval [CI]: 0.339–0.881, P < 0.05) compared with the TT genotype in a dominant model. LATS1 rs9393175 was associated with the risk of non-cardia GC, and the AG genotype reduced the risk of non-cardia GC (OR: 0.702, 95% CI: 0.516–0.952, P < 0.05) compared with the GG + AA genotype in an overdominant model. LATS2 rs9509492 was associated with the risk of GC in an log-additive model. No associations were found between five SNPs and expression of LATS1 and LATS2 proteins in non-cardia GC tissue.ConclusionsLATS2 rs9552315 CT genotype may be a protective factor against infection of H. pylori. LATS1 rs9393175 AG genotype and LATS2 rs9509492 GG genotype may be protective factors for non-cardia GC.

Polymorphisms of TLR9 gene are associated with a decreased risk of H. pylori infection in a Chinese population.

BackgroundA series of evidence suggests that genetic variation in toll-like receptor (TLR) 9 might influence the outcome of Helicobacter pylori (H. pylori) infection and play an important role in gastric carcinogenesis.MethodsWe conducted a case-control study to evaluate TLR9 polymorphisms on the risk of H. pylori infection and non-cardia gastric cancer (GC) in a Chinese population. We genotyped a tagging single-nucleotide polymorphism (SNP), rs164640, and a potentially functional SNP, rs187084, by TaqMan technique among 288 patients with non-cardia GC and 281 controls. Unconditional logistic regression (LR) was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for SNPs in association with H. pylori infection and non-cardia GC risk.ResultsOur results indicated that among normal controls, the minor allele homozygotes of both SNPs were significantly associated with a decreased risk of H. pylori infection when compared with their major allele homozygotes (for rs164640: OR =0.41, 95% CI, 0.18–0.93; for 187084: OR =0.38, 95% CI, 0.17–0.85). However, neither of the two SNPs demonstrated a significant association with non-cardia GC risk.ConclusionsOur results revealed that TLR9 polymorphisms might have effects on the risk of H. pylori infection, but they do not seem to contribute to the risk of non-cardia GC in our studied population.

Demographic and Lifestyle Risk Factors for Gastric Intestinal Metaplasia Among US Veterans.

The risk of noncardia gastric cancer is increased in the presence of gastric intestinal metaplasia. We aimed to identify demographic and lifestyle factors independently associated with the risk of gastric intestinal metaplasia. We used data from a cross-sectional study of patients attending primary care and endoscopy clinics at the Michael E. DeBakey VA Medical Center in Houston, Texas, between February 2008 and August 2013. All patients completed standardized questionnaires and underwent endoscopy with gastric mapping biopsies. Gastric intestinal metaplasia cases included patients with intestinal metaplasia on any noncardia gastric biopsy; we defined extensive gastric intestinal metaplasia as antrum and corpus involvement. We estimated odds ratios (ORs) and 95% confidence intervals (CIs) using multivariate logistic regression models. We identified 423 cases with gastric intestinal metaplasia and 1,796 controls without gastric intestinal metaplasia. Older age (vs <60 years: 60-69 years AdjOR, 1.50; 95% CI, 1.17-1.93; ≥70 years AdjOR, 2.12; 95% CI, 1.48-3.04), male sex (AdjOR, 2.76; 95% CI, 1.50-5.10), nonwhite race/ethnicity (vs non-Hispanic white: Hispanic, AdjOR, 2.66; 95% CI, 1.89-3.76; black, AdjOR, 2.36; 95% CI, 1.85-3.02), and current smoking status (AdjOR, 1.78; 95% CI, 1.29-2.48) were independently associated with gastric intestinal metaplasia. These risk factors remained statistically significantly associated with gastric intestinal metaplasia after adjusting for Helicobacter pylori infection, and their effect sizes were larger for associations with extensive gastric intestinal metaplasia compared with focal gastric intestinal metaplasia. Older age, male sex, nonwhite race/ethnicity, and current smoking status were the nonendoscopic factors independently associated with gastric intestinal metaplasia in a predominantly nonimmigrant US population.