Introduction: This study aimed to update the association between Helicobacter pylori (H. pylori) infection and gastric cancer (GC).Methods: We searched PubMed, Embase, and Cochrane Library from 1990 to December 2021 to identify prospective studies. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were summarized to validate the relationship between H. pylori infection and GC.Results: Including 27 studies, findings indicated a strong link between H. pylori and non-cardia gastric cancer (NCGC) in both Europe/North America (OR=5.37, 95%CI:4.39-6.57) and Asia (OR = 2.50, 95%CI:1.89-3.32), and a positive association with cardia gastric cancer (CGC) in Asia (OR = 1.74, 95%CI:1.38-2.19), but an inverse association in European/American populations (OR = 0.64, 95%CI: 0.51 to 0.79). Furthermore, the strength of association was greater in studies that detected H. pylori by immunoblotting versus ELISA, and also in studies testing for H. pylori detection further back in time prior to cancer diagnosis (Ptrend<0.05). Approximately 79% of NCGC in Asia and 87% in Europe/North America, along with 62% of CGC in Asia, could be attributable to H. pylori infection.Conclusions: The meta-analysis supports the significant attributable risk of H. pylori infection for GC and underscores the potential impact of targeting H. pylori in GC prevention programs.

Risk prediction models for gastric cancer could identify high-risk individuals in the general population. The objective of this study was to systematically review the available evidence about the construction and verification of gastric cancer predictive models. We searched PubMed, Embase, and Cochrane Library databases for articles that developed or validated gastric cancer risk prediction models up to November 2021. Data extracted included study characteristics, predictor selection, missing data, and evaluation metrics. Risk of bias (ROB) was assessed using the Prediction model Risk Of Bias Assessment Tool (PROBAST). We identified a total of 12 original risk prediction models that fulfilled the criteria for analysis. The area under the receiver operating characteristic curve (AUC) ranged from 0.73 to 0.93 in derivation sets (n = 6), 0.68 to 0.90 in internal validation sets (n = 5), 0.71 to 0.92 in external validation sets (n = 7). The higher-performing models usually include age, salt preference, Helicobacter pylori, smoking, body mass index, family history, pepsinogen, and sex. According to PROBAST, at least one domain with a high ROB was present in all studies mainly due to methodologic limitations in the analysis domain. In conclusion, although some risk prediction models including similar predictors have displayed sufficient discriminative abilities, many have a high ROB due to methodologic limitations and are not externally validated efficiently. Future prediction models should adherence to well-established standards and guidelines to benefit gastric cancer screening.Prevention Relevance: Through systematical reviewing available evidence about the construction and verification of gastric cancer predictive models, we found that most models have a high ROB due to methodologic limitations and are not externally validated efficiently. Future prediction models are supposed to adherence to well-established standards and guidelines to benefit gastric cancer screening.

BACKGROUND: The critical role of thioredoxin-interacting protein (TXNIP) in cellular sulfhydryl redox homeostasis and inflammasome activation is already widely known, however, no pan-cancer analysis is currently available.; METHODS: We thus first explored the potential roles of TXNIP across thirty-three tumors mainly based on The Cancer Genome Atlas and Gene Expression Omnibus datasets.; RESULTS: TXNIP is lowly expressed in most cancers, and distinct associations exist between TXNIP expression and the prognosis of tumor patients. TXNIP expression was associated with tumor mutational burden, microsatellite instability, mismatch repair genes, tumor infiltrating immune cell abundance as well as cancer-associated fibroblasts. Moreover, ubiquitin mediated proteolysis, protein post-translational modification and other related pathways were involved in the functional mechanisms of TXNIP.; CONCLUSIONS: Our first pan-cancer study comprehensively revealed the carcinostatic role of TXNIP across different tumors. And this molecule may be considered as a potential immunological and prognostic biomarker. © 2022. The Author(s).

Risk prediction models for gastric cancer could identify high-risk individuals in the general population. The objective of this study was to systematically review the available evidence about the construction and verification of gastric cancer predictive models. We searched PubMed, Embase, and Cochrane Library databases for articles that developed or validated gastric cancer risk prediction models up to November 2021. Data extracted included study characteristics, predictor selection, missing data, and evaluation metrics. Risk of bias (ROB) was assessed using the Prediction model Risk Of Bias Assessment Tool (PROBAST). We identified a total of 12 original risk prediction models that fulfilled the criteria for analysis. The area under the receiver operating characteristic curve (AUC) ranged from 0.73 to 0.93 in derivation sets (n = 6), 0.68 to 0.90 in internal validation sets (n = 5), 0.71 to 0.92 in external validation sets (n = 7). The higher-performing models usually include age, salt preference, Helicobacter pylori, smoking, body mass index, family history, pepsinogen, and sex. According to PROBAST, at least one domain with a high ROB was present in all studies mainly due to methodologic limitations in the analysis domain. In conclusion, although some risk prediction models including similar predictors have displayed sufficient discriminative abilities, many have a high ROB due to methodologic limitations and are not externally validated efficiently. Future prediction models should adherence to well-established standards and guidelines to benefit gastric cancer screening.Prevention Relevance: Through systematical reviewing available evidence about the construction and verification of gastric cancer predictive models, we found that most models have a high ROB due to methodologic limitations and are not externally validated efficiently. Future prediction models are supposed to adherence to well-established standards and guidelines to benefit gastric cancer screening.

The oral cavity contains the highest density and the most species of microorganisms compared with other parts of the body. Recent studies have determined that the species and abundance of oral microflora are closely associated with the development of upper gastrointestinal tumors, including oral, esophageal and gastric cancer. Additionally, differential abundant microbiota in patients with cancer and abnormal microorganisms inside the tumor tissue have been identified as critical markers of tumorigenesis. There is evidence to suggest that certain genera, including Firmicutes, along with various species, such as Porphyromonas, can increase the risk of oral cancer. Furthermore, Porphyromonas gingivalis is a risk factor for esophageal carcinoma, while Helicobacter pylori infections are a main cause of gastric cancer. Currently, as far as carcinogenic mechanisms of oral microorganisms are concerned, it has been hypothesized that the production of carcinogenic substances, chronic inflammation and altered cell metabolisms may be mechanisms by which oral microorganisms influence the development of upper gastrointestinal cancer. Certain phrases, including 'oral microbes', 'oral microorganism', 'oral microbiology', 'oral microflora', 'oral cancer', 'oral carcinoma', 'carcinoma of mouth', 'esophagus cancer', 'esophageal cancer', 'esophageal carcinoma', 'carcinoma of esophagus', 'gastric cancer', 'gastric carcinoma', 'stomach cancer', 'cancer of the stomach', 'carcinogenic mechanism' and 'carcinogenesis', were searched as key words in PubMed and Web of Science for articles published between 1975 to 2020. A total of 1,512 studies were obtained. After further searching the abstracts for key words, such as oral microorganisms, oral cancer, esophagus cancer, gastric cancer and carcinogenic mechanisms, 137 studies were selected. The current review systematically and comprehensively summarized the association between the oral microbiota and oral, esophageal and gastric cancer. Additionally, the current review described the carcinogenic mechanisms of oral microbes and attempted to identify common molecular mechanisms among different types of tumor. The association between upper gastrointestinal cancer therapy and oral microflora was also assessed. The present review may be used as a reference for future diagnosis and therapeutics for upper gastrointestinal tumors.

Objective: To analyze the effects of esophageal cancer screening in Henan rural areas with cancer screening program from 2014 to 2018. Methods: From July 2014 to June 2019, according to the National Early Diagnosis and Treatment of Upper Gastrointestinal Cancer in Rural Areas Project, cluster sampling method was adopted in 16 counties/county-level cities in rural areas with high incidence of esophageal cancer in Henan province. Endoscopic iodine staining and indicative biopsy were used to screen esophageal cancer. The patients with mild and moderate dysplasia confirmed in screening were followed up. The distribution of esophageal diseases in the screening population was calculated, and Chi-square test was used to compare the differences of detection rate and early diagnosis rate between the primary screening population and the follow-up population. Results: The age of 116 630 primary screening population was (54.29±7.70) years old, and the proportion of males was 41.2% (48 108). In the primary screening population, patients with normal esophagus, mild to moderate dysplasia, severe dysplasia and above accounted for 92.91% (108 363), 6.03% (7 035) and 1.06% (1 232), respectively. The detection rate of esophageal cancer was 1.06% (1 232/116 630), and the rate of early diagnosis was 85.80% (1 057). Among the follow-up population of 6 154 people, those with normal esophagus, mild to moderate dysplasia, severe dysplasia and above diseases accounted for 63.45% (3 905), 33.13% (1 519) and 3.41% (210), respectively. The detection rate of esophageal cancer was 3.41% (210/6 154), and the rate of early diagnosis was 91.90% (1 939). Compared with the primary screening population, the risk of esophageal cancer was higher in the overall follow-up population, people either with mild or with moderate dysplasia diagnosed in primary screening, with OR values (95%CI) of 3.23 (2.78, 3.75), 1.85 (1.49, 2.29) and 8.13 (6.69, 9.88), respectively. Conclusion: From 2014 to 2018, in the early diagnosis and early treatment of upper digestive tract cancer project in rural areas of Henan Province, the detection rate of the follow-up population is significantly higher than that of the primary screening population. Improving follow-up rate and paying more attention to the screening of people who need follow-up could further improve the screening effect.

The oral cavity contains the highest density and the most species of microorganisms compared with other parts of the body. Recent studies have determined that the species and abundance of oral microflora are closely associated with the development of upper gastrointestinal tumors, including oral, esophageal and gastric cancer. Additionally, differential abundant microbiota in patients with cancer and abnormal microorganisms inside the tumor tissue have been identified as critical markers of tumorigenesis. There is evidence to suggest that certain genera, including Firmicutes, along with various species, such as Porphyromonas, can increase the risk of oral cancer. Furthermore, Porphyromonas gingivalis is a risk factor for esophageal carcinoma, while Helicobacter pylori infections are a main cause of gastric cancer. Currently, as far as carcinogenic mechanisms of oral microorganisms are concerned, it has been hypothesized that the production of carcinogenic substances, chronic inflammation and altered cell metabolisms may be mechanisms by which oral microorganisms influence the development of upper gastrointestinal cancer. Certain phrases, including 'oral microbes', 'oral microorganism', 'oral microbiology', 'oral microflora', 'oral cancer', 'oral carcinoma', 'carcinoma of mouth', 'esophagus cancer', 'esophageal cancer', 'esophageal carcinoma', 'carcinoma of esophagus', 'gastric cancer', 'gastric carcinoma', 'stomach cancer', 'cancer of the stomach', 'carcinogenic mechanism' and 'carcinogenesis', were searched as key words in PubMed and Web of Science for articles published between 1975 to 2020. A total of 1,512 studies were obtained. After further searching the abstracts for key words, such as oral microorganisms, oral cancer, esophagus cancer, gastric cancer and carcinogenic mechanisms, 137 studies were selected. The current review systematically and comprehensively summarized the association between the oral microbiota and oral, esophageal and gastric cancer. Additionally, the current review described the carcinogenic mechanisms of oral microbes and attempted to identify common molecular mechanisms among different types of tumor. The association between upper gastrointestinal cancer therapy and oral microflora was also assessed. The present review may be used as a reference for future diagnosis and therapeutics for upper gastrointestinal tumors.

Objective: The risk prediction model is an effective tool for risk stratification and is expected to play an important role in the early detection and prevention of esophageal cancer. This study sought to summarize the available evidence of esophageal cancer risk predictions models and provide references for their development, validation, and application.Methods: We searched PubMed, EMBASE, and Cochrane Library databases for original articles published in English up to October 22, 2021. Studies that developed or validated a risk prediction model of esophageal cancer and its precancerous lesions were included. Two reviewers independently extracted study characteristics including predictors, model performance and methodology, and assessed risk of bias and applicability with PROBAST (Prediction model Risk Of Bias Assessment Tool).Results: A total of 20 studies including 30 original models were identified. The median area under the receiver operating characteristic curve of risk prediction models was 0.78, ranging from 0.68 to 0.94. Age, smoking, body mass index, sex, upper gastrointestinal symptoms, and family history were the most commonly included predictors. None of the models were assessed as low risk of bias based on PROBST. The major methodological deficiencies were inappropriate date sources, inconsistent definition of predictors and outcomes, and the insufficient number of participants with the outcome.Conclusions: This study systematically reviewed available evidence on risk prediction models for esophageal cancer in general populations. The findings indicate a high risk of bias due to several methodological pitfalls in model development and validation, which limit their application in practice.

Esophageal squamous cell carcinoma (ESCC) is the predominant subtype of esophageal cancer in China, and this neoplasm is associated with high morbidity and mortality as well as clear geographical heterogeneity. Since primary prevention for ESCC lacks a clear intervention target, secondary prevention, also known as screening and early diagnosis and early treatment, has become the mainstay of ESCC prevention and control in China. ESCC screening in China has been subject to decades of evaluation and practice. However, the ESCC screening strategy currently adopted in China has encountered a developmental bottleneck. In this review, we have summarized studies and significant findings for ESCC screening and proposed advancement of screening strategies as follows: 1) evidence from randomized controlled trials is needed to support the effectiveness and health economic value of endoscopic screening for ESCC; 2) the current traditional screening and surveillance strategies warrant reform, and a risk-prediction-based precision strategy should be established; and 3) a deeper understanding of the value of opportunistic screening in the prevention and control of ESCC in China is called for. Due to the low absolute prevalence of precancerous lesions, substantial investment of resources and nonnegligible risks of invasive screening techniques, precision and individualization should be the main direction of cancer screening programs for the future. We advocate cooperation on the part of Chinese scientists to solve this major China-specific health problem in the next decades.

As extracellular vesicles, exosomes are released from most cells to perform cell-cell communication. Recent studies have shown that exosomes could be released into tumor microenvironment and blood to promote tumor progression through packaging and transmitting various bioactive molecules, such as cholesterol, proteins, lipids, miRNAs, mRNAs, and long non-coding RNAs (lncRNAs) to distant cells. LncRNAs have emerged as a major class of non-coding transcripts. A lot of LncRNAs have been discovered during the past few years of research on genomics. They have been proven to participate in various biological functions and disease processes through multiple mechanisms. In this review, we analyzed the role of exosome-derived lncRNAs in lung carcinogenesis and metastasis. We also highlight opportunities for the clinical potential of exosomes with specific lncRNAs as biomarkers and therapeutic intervention in lung cancer.