Gastric Cancer Screening Research Articles

A feasibility study on utilizing machine learning technology to reduce the costs of gastric cancer screening in Taizhou, China.

To optimize gastric cancer screening score and reduce screening costs using machine learning models. This study included 228,634 patients from the Taizhou Gastric Cancer Screening Program. We used three machine learning models to optimize Li's gastric cancer screening score: Gradient Boosting Machine (GBM), Distributed Random Forest (DRF), and Deep Learning (DL). The performance of the binary classification models was evaluated using the area under the curve (AUC) and area under the precision-recall curve (AUCPR). In the binary classification model used to distinguish low-risk and moderate- to high-risk patients, the AUC in the GBM, DRF, and DL full models were 0.9994, 0.9982, and 0.9974, respectively, and the AUCPR was 0.9982, 0.9949, and 0.9918, respectively. Excluding Helicobacter pylori IgG antibody, pepsinogen I, and pepsinogen II, the AUC in the GBM, DRF, and DL models were 0.9932, 0.9879, and 0.9900, respectively, and the AUCPR was 0.9835, 0.9716, and 0.9752, respectively. Remodel after removing variables IgG, PGI, PGII, and G-17, the AUC in GBM, DRF, and DL was 0.8524, 0.8482, 0.8477, and AUCPR was 0.6068, 0.6008, and 0.5890, respectively. When constructing a tri-classification model, we discovered that none of the three machine learning models could effectively distinguish between patients at intermediate and high risk for gastric cancer (F1 scores in the GBM model for the low, medium and high risk: 0.9750, 0.9193, 0.5334, respectively; F1 scores in the DRF model for low, medium, and high risks: 0.9888, 0.9479, 0.6694, respectively; F1 scores in the DL model for low, medium, and high risks: 0.9812, 0.9216, 0.6394, respectively). We concluded that gastric cancer screening indicators could be optimized when distinguishing low-risk and moderate to high-risk populations, and detecting gastrin-17 alone can achieve a good discriminative effect, thus saving huge expenditures.

Comparing Participation and Interim Effectiveness of Endoscopy and Biomarker-Based Screening for Gastric Cancer: A Cluster Randomized Controlled Trial.

Background: To improve compliance with endoscopic screening for gastric cancer (GC), we assessed five biomarkers-pepsinogen I (PG I), pepsinogen II (PG II), PG I/II ratio, helicobacter pylori antibody (HP-Ab), and gastrin 17 (G17) - for secondary GC screening by comparing participation and effectiveness of traditional endoscopy and biomarker-based screening in a randomized trial with baseline results. Methods: Seventy-four communities were randomly assigned to traditional endoscopy arm (TEA) or biomarker-based endoscopy arm (BEA). TEA uses a questionnaire for risk assessment, and BEA combines a questionnaire with biomarker detection. High-risk individuals in both arms underwent endoscopic screening. Participation and interim screening effectiveness in two arms were reported with baseline analysis. Results: In total, 5,798 participants in TEA and 5,158 in BEA were recruited, with a participation rate of 26.9%. BEA showed a significantly lower high-risk rate than TEA (15.2% vs. 38.9%) and a higher endoscopic participation rate for high-risk individuals (64.9% vs. 53.0%). The endoscopic screening results showed that there was no significant difference in detection rate of GC abnormalities between the two arms. Education level, frequent drinking, hot, rough and hard food consumption, family history of GC, and history of reflux esophagitis or gastropathy influenced participation rates in biomarker-based screening. Age group, sex and regular consumption of meat, eggs and milk products were associated with stomach abnormalities.Cumulative incidence and specific death rates did not significantly differ in intention-to-screen and per-protocol analyses. Conclusions: Biomarker-based screening effectively identifies high-risk individuals and increases endoscopic participation, providing value insights for improving screening efficiency as a secondary procedure.

The Application and Challenges of Emerging Technologies in Early Diagnosis and Screening of Gastric Cancer: From Molecular Markers to Imaging Advances

The Application and Challenges of Emerging Technologies in Early Diagnosis and Screening of Gastric Cancer: From Molecular Markers to Imaging Advances

Genetic Polymorphism in Alcohol Metabolism and Drinking Behavior are Associated with Gastric Cancer Risk in Men.

Objective In recent years, there has been a growing focus on health risks associated with alcohol consumption. The present study investigated whether or not the genetic variant of aldehyde dehydrogenase 2 (ALDH2) influences the risk of gastric cancer among individuals identified as hazardous drinkers using the Alcohol Use Disorders Identification Test (AUDIT), which provides a comprehensive assessment of hazardous drinking behavior. Patients We enrolled men with hazardous drinking behavior (AUDIT score ≥ 8) who had undergone gastric cancer screening (either endoscopy or a barium X-ray examination of the upper gastrointestinal tract) between April 2013 and March 2020 within 1 year from entry and who had subsequently undergone at least one more gastric cancer screening up to March 2021. Functional single-nucleotide polymorphisms of ALDH2 (rs671) were measured using a direct TaqMan PCR method with unprocessed saliva. Results A total of 246 men were enrolled, comprising 193 individuals with active ALDH2 (ALDH2*1/*1) and 53 with less-active ALDH2 (ALDH2*1/*2). The cumulative incidence of gastric cancer in the less-active group was higher than in the active ALDH2 group (p=0.01, hazard ratio: 4.6, 95% confidence interval: 1.2-16.7). Alcohol consumption was lower in the less-active ALDH2 group than in the active ALDH2 group, although no marked difference was observed in the AUDIT score. Conclusion In individuals with hazardous drinking behavior, a heightened risk of gastric cancer was observed among those with less-active ALDH2 variants, even when their alcohol consumption was comparatively lower than in those with active ALDH2 variants.

Development and validation of the PERCEPT-PREVENT tool to determine risk perception and attitudes towards digestive cancer screening.

Colorectal cancer (CRC) screening is recommended worldwide, while gastric cancer (GC) screening may also be defendable in some settings. However, adherence rates and factors influencing participation are not well characterized. This study aimed to validate a tool to determine risk perception of CRC and GC and also of endoscopy-related complications. A questionnaire in CRC risk perception based on the Health Belief Model was used. Forward/backward translation (English-Portuguese) and cultural adaptation were performed. After revision by a panel of experts, the questionnaire was adapted to target GC risk perception and perceptions towards endoscopy-related complications. The final version of the questionnaire (PERCEPT-PREVENT tool) was applied to 44 individuals, through telephonic interview, at enrolment and at intervals ≤3 weeks. Test-retest reliability and agreement were assessed. Almost perfect reliability between test and retest was obtained for CRC symptom knowledge score (ICC = 0.88), risk factor knowledge score (ICC = 0.89), and perceived severity (ICC = 0.84). At least moderate agreement between test and retest was obtained for GC symptom knowledge score (ICC = 0.94), risk factor knowledge score (ICC = 0.92), and perceived severity (ICC = 0.58). Test-retest reliability was assessed for barrier domains [faecal occult blood test ICC = 0.63; colonoscopy ICC = 0.79; upper GI endoscopy (UGIE) ICC = 0.83]. A total of 91% and 98% of participants gave the same answer in the test and retest for preferred method of CRC screening and intention to undergo UGIE for GC screening combined with a screening colonoscopy, respectively. PERCEPT-PREVENT is a valid and reliable tool for CRC and GC risk perception evaluation.

Global progress and future prospects of early gastric cancer screening.

Gastric cancer is a prevalent malignancy that poses a serious threat to global health. Despite advances in medical technologies, screening methods, and public awareness, gastric cancer remains a significant cause of morbidity and mortality worldwide. Early gastric cancer frequently does not present with characteristic symptoms, while advanced stage disease is characterized by a dismal prognosis. As such, early screening in gastric cancer is of great importance. In recent years, advances have been made globally in both clinical and basic research for the screening of early gastric cancer. The current predominant screening methods for early gastric cancer include imaging screening, endoscopic screening and serum biomarker screening. Imaging screening encompasses upper gastrointestinal barium meal, multidimensional spiral computed tomography (MDCT), Magnetic resonance imaging (MRI), and ultrasonography. Endoscopic screening methods include white light endoscopy, chromoendoscopy, computed virtual chromoendoscopy, and other endoscopic techniques like endocytoscopy, confocal laser endomicroscopy, optical coherence tomography and so on. Biomarkers screening involves the assessment of conventional biomarkers such as CEA, CA19-9 and CA72-4 as well as more emerging biomarkers such as peptides (PG, G-17, GCAA, TAAs and others), DNA (cfDNA, DNA methylation, MSI), noncoding RNA (miRNA, lncRNA, circRNA, and tsRNA) and others. Each screening method has its strengths and limitations. This article systematically summarizes worldwide progress and future development of early gastric cancer screening methods to provide new perspectives and approaches for early diagnostic and treatment advancements in gastric cancer worldwide.

Circulating Gastric Cancer Stem Cells as Blood Screening and Prognosis Factor in Gastric Cancer.

Gastric cancer (GC) is the fourth leading cause of cancer-related death, associated with late diagnosis and treatment resistance. Currently, screening tests for GC are not cost-effective or have low accuracy. Previously, we described an extended phenotype of gastric cancer stem cells (GCSCs; CD24+CD44+CD54+EpCAM+) that is associated with metastasis and tumor stage in GC patients. The goal of the current research is to evaluate the presence of these GCSCs in the peripheral blood of GC patients and healthy volunteers. A total of 73 blood samples were collected from 32 GC patients and 41 healthy volunteers. After peripheral blood mononuclear cell (PBMC) extraction, multiparametric flow cytometry was performed looking for GCSCs. Using clustering data through artificial intelligence (AI), we defined high/low levels of circulating GCSCs (cGCSCs) and proceeded to evaluate its association with clinical and prognostic variables. Finally, a diagnostic test analysis was performed evaluating patients and healthy volunteers. We found that cGCSCs are present in most GC patients with a mean concentration of 0.48%. The AI clustering showed two groups with different cGCSC levels and clinical characteristics. Through statistical analysis, we confirmed the association between cGCSC levels and lymph node metastasis, distant metastasis, and overall survival. The diagnostic test analysis showed sensibility, specificity, and area under the curve (AUC) of 83%, 95%, and 0.911, respectively. Our results suggest that the assessment of cGCSCs CD24+CD44+CD54+EpCAM+ could be a potential noninvasive test, with prognostic value, as well as highly sensitive and specific for screening or diagnosis of GC; however, a larger scale study will be necessary to confirm this.

Predicting early gastric cancer risk using machine learning: A population-based retrospective study.

Early detection and treatment are crucial for reducing gastrointestinal tumour-related mortality. The diagnostic efficiency of the most commonly used diagnostic markers for gastric cancer (GC) is not very high. A single laboratory test cannot meet the requirements of early screening, and machine learning methods are needed to aid the early diagnosis of GC by combining multiple indicators. Based on the XGBoost algorithm, a new model was developed to distinguish between GC and precancerous lesions in newly admitted patients between 2018 and 2023 using multiple laboratory tests. We evaluated the ability of the prediction score derived from this model to predict early GC. In addition, we investigated the efficacy of the model in correctly screening for GC given negative protein tumour marker results. The XHGC20 model constructed using the XGBoost algorithm could distinguish GC from precancerous disease well (area under the receiver operating characteristic curve [AUC] = 0.901), with a sensitivity, specificity and cut-off value of 0.830, 0.806 and 0.265, respectively. The prediction score was very effective in the diagnosis of early GC. When the cut-off value was 0.27, and the AUC was 0.888, the sensitivity and specificity were 0.797 and 0.807, respectively. The model was also effective at evaluating GC given negative conventional markers (AUC = 0.970), with the sensitivity and specificity of 0.941 and 0.906, respectively, which helped to reduce the rate of missed diagnoses. The XHGC20 model established by the XGBoost algorithm integrates information from 20 clinical laboratory tests and can aid in the early screening of GC, providing a useful new method for auxiliary laboratory diagnosis.

Ultrasensitive fluorescence immunoassay of pepsinogen I based on enzyme-triggered decomposition of AuNCs/MnO2.

Gastric cancer is a prevalent malignant tumor of the gastrointestinal tract accompanied by a high mortality rate; therefore, early gastric cancer screening is critical for improving patient survival. In this study, we present a facile fluorescence immunoassay for highly sensitive screening of pepsinogen I (PG I) based on a one-pot biomimetic mineralization process for the synthesis of gold nanocluster-anchored manganese dioxide (AuNCs/MnO2) nanosheets. MnO2 first quenches the fluorescence of AuNCs through the Förster resonance energy transfer effect, whereas the introduction of ascorbic acid (AA) leads to the decomposition of MnO2 and rapidly recovers the fluorescence of AuNCs. Based on the above principles and phenomena, we developed a sensitive fluorescence immunoassay for the in situ generation of AA to detect PG I. Specifically, in the presence of PG I, the sandwich-type immunoreactivity-enriched alkaline phosphatase-labeled secondary antibody catalyzes the production of AA from the substrate, which enhances the fluorescence intensity. Under optimized conditions, the fluorescence intensity increased linearly with the concentration of PG I (0.05 to 200 ng mL-1) with a limit of detection (LOD) of 0.013 ng mL-1 (S/N = 3). The designed sensing platform has good stability (more than one year) and excellent anti-interference capability and demonstrates satisfactory accuracy for detection in real samples compared to commercial ELISA kits.

Clinical Significance of Disulfidptosis-related Genes and Functional Analysis in Gastric Cancer.

Background: Worldwide, gastric cancer (GC) remains intractable due to its poor prognosis and high morbidity and mortality. Disulfidptosis is a novel kind of cell death mediated by abnormal accumulation of intracellular disulphides. The correlation between disulfidptosis and GC is still unknown. Therefore, it is necessary to elucidate the pathogenesis and mechanism of disulfidptosis and GC for clinical diagnosis and intervention. Methods: RNA-sequencing data from several public data portals and clinical samples were collected. We compared the expression levels of four key genes of disulfidptosis, including SLC7A11, SLC3A2, RPN1, and NCKAP1, in GC and selected prognostic genes to build a novel GC prognosis-related nomogram model. The biological functions and immune landscape of the identified prognostic genes were explored. Results: Overexpressed NCKAP1 and SLC7A11 were prognostic disulfidptosis-related genes in GC. We combined these genes and several clinicopathological factors to build a prognostic nomogram model for GC. Meanwhile, the ROC curves showed that NCKAP1 and SLC7A11 were promising biomarkers for GC screening. The biological and cellular functions were focused on actin activities, GTPase and immunoreaction. The tumour immune microenvironment and immune therapy targets were identified. Competing endogenous RNA network was built to explore the downstream regulatory mechanisms. Finally, the elevated NCKAP1 and SLC7A11 expression in GC was validated via qRT-PCR in a cell line and tissue line. Conclusion: In conclusion, NCKAP1 and SLC7A11 are promising prognostic and diagnostic biomarkers for GC that correlate with the activities of actin, energy metabolism of GTPase, immune infiltration and immunotherapy.

Acting mechanism and clinical significance of hsa_circ_0005927 in the invasion and metastasis of gastric cancer.

Background: An increasing number of studies have demonstrated that differentially expressed circular RNAs (circRNAs) play critical roles in carcinogenesis. However, the biological function and clinical significance of hsa_circ_0005927 during gastric carcinogenesis remain unclear. The aim of this study was to investigate the acting mechanism and clinical significance of hsa_circ_0005927 in the invasion and metastasis of gastric cancer (GC). Methods: Hsa_circ_0005927 was detected in GC tissues, plasma and gastric juice from patients with GC, and its correlations with clinicopathological parameters were investigated. Receiver operating characteristic curves, Kaplan-Meier survival curves and a prognostic nomogram model were generated to analyze the diagnostic and prognostic value. Real-time cell analyzer, plate colony formation, and Transwell migration and invasion assays were utilized to assess GC cell proliferation, migration and invasion, respectively. Nucleoplasmic separation was applied to determine the distribution of hsa_circ_0005927 in cells. TargetScan and miRanda software were used for target microRNA (miRNA) prediction. Transcriptome sequencing and bioinformatics analysis were performed to annotate the functions of hsa_circ_0005927 in gastric carcinogenesis and metastasis from an RNomic perspective. Key target genes and immune cell infiltrations were analysed. Results: Hsa_circ_0005927 was found downregulated in high-grade intraepithelial neoplasia (HGIEN) tissues and GC tissues. Hsa_circ_0005927 levels in GC tissues were negatively correlated not only with lymphatic metastasis and distal metastasis but also with overall survival and disease-free survival. As a screening biomarker for GC, plasma hsa_circ_0005927 levels significantly increased in the early stages of GC, with a sensitivity and specificity of 52.38% and 76.19%, respectively. Hsa_circ_0005927 was mainly distributed in the cytoplasm, and structurally, it possesses multiple miRNA response elements (MREs) that interact with five miRNAs. A total of 421 downstream target genes of hsa_circ_0005927 were identified by transcriptome sequencing; and bioinformatics analysis suggested that these genes were involved mainly in the negative regulation of the T-cell apoptotic process, the interleukin-27-mediated signaling pathway, growth factor activity, guanylate cyclase activity, transcriptional misregulation in cancer, the cGMP-PKG signaling pathway, and the GnRH signaling pathway during gastric carcinogenesis and metastasis. GUCY1A2 and STK32A are key target genes significantly associated with immune infiltration. Conclusion: Our study revealed that hsa_circ_0005927 is a new player related to the invasion and metastasis of GC and is a potential indicator for early GC screening.

GASTRIC CANCER: EPIDEMIOLOGY AND PROSPECTS FOR THE DEVELOPMENT AND IMPLEMENTATION OF INNOVATIVE TECHNOLOGIES FOR EARLY DETECTION AND TREATMENT

Relevance: Gastric cancer is a heterogeneous group of malignant epithelial tumors arising from the cells of the gastric mucosa, one of the most common forms of malignant neoplasms in many countries of the world. But, despite repeated attempts, there are no convincing approaches to early large-scale (screening) detection technology for this form of cancer. This causes a high rate of late detection of advanced forms of gastric cancer in most countries of the world, a high one-year mortality rate of patients, and a low five-year survival rate. Currently, full screening for gastric cancer is carried out only in Japan, Korea, and China – countries with high incidence rates.
 The study aimed to assess the epidemiologically disadvantaged regions of Kazakhstan for cancer to select optimal early detection techniques to improve the treatment results.
 Methods:For the analysis, we used available epidemiological indicators on GC from the specialized literature, data obtained from annual reporting forms No. 7, approved by the Ministry of Health of the Republic of Kazakhstan, in the country code (ICD 10 – C16), publications with statistical and analytical materials on Kazakhstan. Morbidity and mortality rates were calculated based on data from the Bureau of National Statistics of the Agency for Strategic Planning and Reforms of the Republic of Kazakhstan website on the average annual population by region of Kazakhstan.
 Results: A long-term decrease in the incidence and mortality from gastric cancer in Kazakhstan since 2021 has been replaced by a stable increase in the incidence of gastric cancer against the backdrop of a high frequency of advanced forms, relatively high mortality, and low fiveyear survival of patients. At the same time, there is experience in the world of certain approaches to screening the population for early detection of gastric cancer.
 Conclusion: The high morbidity of gastric cancer in most regions of the country in recent years requires the search and development of optimal forms of screening for its early detection; this will reduce mortality from gastric cancer and increase the five-year survival rate of patients.

THE RESULTS OF THE JAPANESE GASTRIC CANCER ASSOCIATION MORPHOLOGICAL CLASSIFICATION ADAPTATION FOR THE KAZAKH POPULATION

Relevance: Gastric cancer is a heterogeneous group of malignant epithelial tumors arising from the cells of the gastric mucosa, one of the most common forms of malignant neoplasms in many countries of the world. But, despite repeated attempts, there are no convincing approaches to early large-scale (screening) detection technology for this form of cancer. This causes a high rate of late detection of advanced forms of gastric cancer in most countries of the world, a high one-year mortality rate of patients, and a low five-year survival rate. Currently, full screening for gastric cancer is carried out only in Japan, Korea, and China – countries with high incidence rates.
 The study aimed to was a retrospective analysis of literary data on the epidemiology of gastric cancer in the world, individual countries, but, above all, our own materials, summarized by specialists of the Joint Stock Company “Kazakh Research Institute of Oncology and Radiology” (JSC “KazNIIOiR”) on the situation with cancer stomach in Kazakhstan; analysis of information on the types and results of screenings for the early detection of gastric cancer in the world.
 Methods:For the analysis, we used available epidemiological indicators on GC from the specialized literature, data obtained from annual reporting forms No. 7, approved by the Ministry of Health of the Republic of Kazakhstan, in the country code (ICD 10 – C16), publications with statistical and analytical materials on Kazakhstan. Morbidity and mortality rates were calculated based on data from the Bureau of National Statistics of the Agency for Strategic Planning and Reforms of the Republic of Kazakhstan website on the average annual population by region of Kazakhstan.
 Results: A long-term decrease in the incidence and mortality from gastric cancer in Kazakhstan since 2021 has been replaced by a stable increase in the incidence of gastric cancer against the backdrop of a high frequency of advanced forms, relatively high mortality, and low fiveyear survival of patients. At the same time, there is experience in the world of certain approaches to screening the population for early detection of gastric cancer.
 Conclusion: The high morbidity of gastric cancer in most regions of the country in recent years requires the search and development of optimal forms of screening for its early detection; this will reduce mortality from gastric cancer and increase the five-year survival rate of patients.

Trends in gastric cancer incidence and mortality in Asia and association analysis with human development index, 1990-2019

ObjectivesTo describe the epidemiological time trends and gender, age and regional differences of gastric cancer in Asia during 1990–2019, and to analyze the association between the human development index (HDI) and the statistical indicators of the burden of disease. MethodsDescribing trends in age-standardized incidence rates (ASIR) and age-standardized mortality rate (ASMR) in Asia from 1990 to 2019 based on GBD-reported population-based surveillance of gastric cancer in Asia. Obtained ASIR, ASMR, and mortality to incidence ratios (MIR) for gastric cancer in different countries in 2019, with association analysis by Kruskal-Wallis nonparametric test. ResultsThe annual percentage change in ASIR and ASMR in Asia from 1990 to 2019 was − 1.20% and − 1.91%. Male gastric cancer patients have higher ASIR and ASMR than female gastric cancer patients. Decreasing trends in ASIR and ASMR for the total population in five Asian regions. From 1990 to 2019, the average annual change in ASMR was − 2.45%, − 1.43%, − 0.53%, − 0.62%, and − 0.27% for Central Asia, East Asia, high-income Asia-Pacific, South Asia, and Southeast Asia, respectively (p < 0.05). Both incidence and mortality were concentrated in the age groups of 85–89 and 89–94 years. Classifying Asian countries into different levels of HDI, only MIR was associated with HDI levels. ConclusionASIR and ASMR of gastric cancer in the total population, different regions, and countries in Asia from 1990 to 2019 showed an overall decreasing trend. The MIR index is suggestive of survival rates and the role of cancer care in individual countries. Asian countries should develop different strategies for gastric cancer screening and prevention according to high-risk age, high-risk gender and HDI.

Aptamer-Based Functionalized SERS Biosensor for Rapid and Ultrasensitive Detection of Gastric Cancer-Related Biomarkers.

Gastric cancer (GC) as is the second deadliest malignancy still lacks rapid, simple and economical detection and early clinical screening techniques. Surface-enhanced Raman spectroscopy (SERS) is a spectroscopic technique based on the surface plasmon resonance of precious metal nanoparticles, which can effectively detect low-abundance tumor markers. Combining SERS technology with sensors has high potential in the diagnosis and screening of GC. A novel Au/Si nano-umbrella array (Au/SiNUA) was prepared as a SERS substrate and the substrate was functionalized using the corresponding tumor marker aptamers for the detection of clinical biological samples using a one-step recognition release mechanism. Optimization of aptamer and complementary chain concentrations and detection time for optimal sensor preparation. Au/SiNUA were tested to have good SERS enhancement activity. The proposed aptamer biosensor has good specificity and stability, with a low detection time of 18 min and a limit of detection (LOD) at the fM level, which is superior to most of the methods reported so far; and the accuracy of the clinical assay is comparable to that of the ELISA method. The expression levels of PDGF-B and thrombin in the serum of GC patients and healthy individuals can be effectively detected and differentiated. The ultrasensitive and specific aptamer biosensor is highly feasible for the diagnosis and screening of GC and has good application prospects.

Evaluating STC2 gene RNA in peripheral blood serum of gastric cancer patients.

Cancer is one of the leading causes of death in the world. Invasive microscopic and endoscopic methods are not suitable for routine screening of gastric cancer. Therefore, the need for biomarkers that can detect quickly, efficiently, and with high sensitivity in the early stages of cancer is strongly felt. Stanniocalcin plays a role in regulating calcium and phosphorus in the body. In addition, it plays a role in neuron cell differentiation, angiogenesis, wound healing, fertility and embryo development, and cancer. This study investigated the level of expression of the Stanniocalcin 2 (STC2) gene in the serum of patients with gastric cancer. This case-control study was conducted on the samples of 60 patients with gastric cancer (cases) and 60 healthy individuals (controls). Peripheral blood samples from gastric cancer patients and volunteers as control groups were collected in tubes containing EDTA anticoagulant and were immediately subjected to serum separation. After centrifugation, serum RNA was extracted, and after cDNA synthesis, STC2 gene serum RNA level was measured by the Taq Man method and Real-time PCR using specific primers and probes. Then, the results of serum evaluations and clinicopathological information of patients and control group were collected along with the information obtained from reviewing patients' files and demographic findings, regulatory tables, and related charts. SPSS22 software was used to analyze descriptive data. According to the study results, the high expression of the STC2 gene was 31 cases in the case group and 13 cases in the control group. However, there was a significant relationship between the high expression of the STC2 gene and gastric cancer (p = 0.0001). However, there was no significant relationship between the gender of patients and high expression of the STC2 gene. However, the age of 35% of the patients was more than 65 years, and there was a significant relationship between the age of the patients and the high expression of the STC2 gene (P = 0.028). Although there was no significant relationship between the anatomical location of the cancer and the subtypes of the cancer and the high expression of the STC2 gene, there was a significant relationship between the degree of cancer differentiation and the high expression of STC2 gene (P<0.05). In general, STC2 can be used as a biomarker to determine the border and margins of the tumor. Analysis of STC2 gene expression during surgery can reduce surgical error in tumor removal and increase the success of surgery for tumor removal.

Helicobacter pylori Infection Status and Gastric Tumor Incidence According to the Year of Birth.

: The prevalence of Helicobacter pylori-naive status is increasing. Nonetheless, biennial gastroscopy is recommended for all Koreans aged 40 to 75 years. This study aimed to determine whether gastric cancer screening guidelines could be changed according to H. pylori infection status and year of birth. : Koreans who underwent serum assays and gastroscopy for gastric cancer screening between 2010 and 2016 were included if screening tests were followed up for ≥3 times. H. pylori infection was confirmed when invasive tests or 13C-urea breath tests were positive. In the case of negative test findings, eradication history, serologically detected atrophy, and intestinal metaplasia/atrophy were checked for past infection. If all were absent, H. pylori-naive status was confirmed. : Two-thousand and two (256 H. pylori-naive, 743 past-infected, and 1,003 infected) Koreans underwent screening tests for 95.5±28.4 months. The mean year of birth in the naive group (1969±7) differed from those of the past-infected (1957±10, p<0.001) and infected (1958±10, p<0.001) groups. H. pylori-naive status was correlated with recent year of birth (r=0.368, p<0.001). No gastric tumors were observed among the naive participants (p=0.007), whereas 23 adenomas, 18 adenocarcinomas, and two neuroendocrine tumors were detected in 1.9% (14/743) of past-infected and 2.5% (25/1,003) of infected participants, including four infected participants with metachronous tumors. : The prevalence of H. pylori-naive status is increasing in young Koreans, and gastric tumors are rare in this population. Hence, biennial gastroscopy could be waived after the confirmation of naive status.

Prevention and Screening of Gastric Cancer by Helicobacter pylori Management: Synthesis of Existing Data

Prevention and Screening of Gastric Cancer by <i>Helicobacter pylori</i> Management: Synthesis of Existing Data

The Effect of Nationwide Organized Cancer Screening Programs on Gastric Cancer Mortality: A Synthetic Control Study

Nationwide organized gastric cancer (GC) screening programs have been running for decades in South Korea and Japan. This study conducted a quasi-experimental analysis to assess the population impact of these programs on GC mortality. We used the flexible synthetic control method (SCM) to estimate the effect of the screening programs on age-standardized GC mortality and other upper gastrointestinal (UGI) diseases (esophageal cancer and peptic ulcer) among people aged ≥40 years. World Health Organization mortality data and country-level covariates from the World Bank and the Global Burden of Diseases study were used for the analyses. We compared postintervention trends in outcome with the counterfactual trend of the synthetic control and estimated average postintervention rate ratios (RRs) with associated 95% confidence intervals (CIs). A series of sensitivity analyses were conducted. The preintervention fits were acceptable for the analyses of South Korea and Japan's GC mortality but poor for Japan's other UGI disease mortality. The average postintervention RRs were 0.83 (95% CI, 0.71-0.96) for GC mortality and 0.72 (95% CI, 0.57-0.90) for other UGI disease mortality in South Korea. The RR reached 0.59 by the 15th year after the initiation of nationwide screening. For Japan, the average RRs were 0.97 (95% CI, 0.88-1.07) for GC mortality and 0.93 (95% CI, 0.68-1.28) for other UGI disease mortality. Sensitivity analysis reveals the result for Japan may potentially be biased. South Korea's nationwide GC screening has apparent benefits, whereas the Japanese program's effectiveness is uncertain. The experiences of South Korea and Japan could serve as a reference for other countries.

Combined gastric and colorectal cancer endoscopic screening may be cost-effective in Europe with the implementation of artificial intelligence: an economic evaluation.

Endoscopic screening for gastric cancer (GC) is not recommended in low-intermediate incidence countries. Artificial intelligence (AI) has high accuracy in GC detection and might increase the cost-effectiveness of screening strategies. We aimed to assess the cost-effectiveness of AI for GC detection in settings with different GC incidence and different accuracies of AI systems. Cost-effectiveness analysis (using Markov model) comparing different screening strategies (no screening versus single esophagogastroduodenoscopy (EGD) at 50 years versus stand-alone EGD every 5/10 years versus combined EGD and screening colonoscopy once or twice per decade in Netherlands, Italy and Portugal) with variable AI accuracy settings. The primary outcome was the incremental cost-effectiveness ratio of the different strategies versus no screening. Deterministic and probabilistic sensitivity analyses were conducted. Without AI, one single EGD at 50 years (Netherlands, Italy, Portugal), EGD combined with screening colonoscopy once per decade (Italy and Portugal) and EGD combined with screening colonoscopy twice per decade (Portugal) are cost-effective when compared with no screening. If AI increases the accuracy of EGD by at least 1% in comparison to the accuracy of white-light endoscopy accuracy (89%), combined screening twice per decade also becomes cost-effective in Italy. If AI accuracy reaches at least 96%, combined screening once per decade is also cost-effective in the Netherlands. In European countries, AI-assisted EGD may improve the cost-effectiveness of GC screening with combined EGD and screening colonoscopy. The actual effect of AI on cost-effectiveness may vary dependent on the accuracy and costs of the AI system.