Decidual protein induced by progesterone (DEPP1) was identified to exert heterogeneous functions in several cancers, whereas its role in gastric cancer (GC) remains elusive. In the present study, differential expression analysis was conducted using three Gene Expression Omnibus datasets (GSE54129, GSE26942 and GSE3438). Validation of DEPP1 expression was performed using reverse transcription‑quantitative PCR, western blotting and immunofluorescence. Kaplan‑Meier survival and Cox regression analyses were employed to assess the association between DEPP1 expression and the prognosis of patients with GC. Immune infiltration analysis was conducted to explore the correlation between DEPP1 and the tumor microenvironment. The potential of DEPP1 to promote oxaliplatin resistance was assessed using flow cytometry, western blotting, and subcutaneous mouse models. DEPP1 was found to be significantly upregulated in the aforementioned cohorts, which was consistent with the clinical specimens of the present study, and it emerged as an independent risk factor for poor overall survival in patients with GC. A prognostic nomogram was developed to improve prognosis prediction. High DEPP1 expression correlated with increased infiltration of cancer‑associated fibroblasts, endothelial cells, and M2 macrophages, contributing to the development of a stroma‑rich and immunosuppressive microenvironment in GC. Furthermore, high DEPP1 expression was associated with reduced sensitivity to chemotherapy drugs in patients with GC. In vitro and in vivo experiments highlighted DEPP1's crucial role in promoting oxaliplatin resistance in GC. In conclusion, DEPP1 is identified as a promising prognostic biomarker linked to a stroma‑rich and immunosuppressive microenvironment, and it is critical in driving oxaliplatin resistance in GC. These findings may inform personalized therapeutic strategies for patients with GC.

Gastric cancer (GC) is an aggressive malignancy among all Gastrointestinal cancer (GIC) types. Worldwide, among all cancer types, gastric cancer incidence and related mortality remain in fifth position. Multidrug resistance (MDR) in GC presents a major challenge to chemotherapy, and it significantly affects patient survival. A better understanding of the dynamic interaction of cellular factors contributing to MDR phenotype, e.g., the presence and expression of variants of MDR-related genes, including various drug-detoxifying and drug-efflux transporters, and expression of regulatory ncRNAs affecting the expression of MDR-related genes, is required to comprehend the molecular mechanisms for MDR development in GCs. This review article provides a holistic discussion of the cellular factors involved in the MDR development in GC cells, i.e., their roles and cross-talk between specific molecules that give rise to drug-sensitive and drug-resistant phenotypes. Moreover, the pharmacological perspective of drug resistance and the underlying biological processes that allow the escape of GC cells from the cytotoxic effects of drugs have also been discussed. Additionally, this review article provides an in-depth discussion on most potential candidates that can serve as MDR biomarkers in GIC cancer and the growing research interest in non-coding RNAs (ncRNAs) in GC. Notably, the miRNAs, circRNAs, and lncRNAs are not only emerging as crucial prognostic biomarkers of MDR in gastric cancers but also as potential targets for personalized medicine to combat the MDR challenge in GC patients.

Gastric cancer is still a prevalent and lethal cancer. Gastric hypoacidity and gastritis have long been recognized in the pathogenesis. The identification of Helicobacter(H.) pylori as the main cause of gastritis leading to peptic ulcer disease and gastric cancer was a breakthrough. H. pylori was the first bacterium accepted as a carcinogen. The mechanism was not found before H. pylori was shown to predispose to cancer only after having induced oxyntic atrophy incriminating reduced killing of microorganisms and/or secondary hypergastrinemia. H. pylori has an uncertain carcinogenic role in cardia cancer, making microbes more unlikely. Gastrin has a trophic effect on the oxyntic mucosa, particularly on the enterochromaffin like cell carrying the gastrin receptor. Every condition with long-term hypergastrinemia in whatever species predisposes to gastric neoplasia. All observations on gastric neoplasia connected to H. pylori gastritis (the protective effect of duodenal ulcer, increased risk with oxyntic atrophy and preserved risk after loss of H. pylori in complete oxyntic atrophy) may be explained by gastrin. The role of gastrin in gastric carcinogenesis is also reflected by autoimmune gastritis and profound long-term gastric acid inhibition.

Gastric cancer (GC) is a significant global health issue, with oxidative stress playing a pivotal role in its pathogenesis. Paraoxonase 1 (PON1), an enzyme with antioxidant properties, may modulate oxidative stress and cancer susceptibility. This study examined the association between two PON1 polymorphisms, rs662 (Q192R) and rs854560 (L55M), and their effects on GC risk and oxidative stress markers.

The study included 250 histopathologically confirmed GC patients and 210 healthy controls. PON1 polymorphisms were genotyped, and biochemical markers-including PON1 and arylesterase (ARE) activities, total antioxidant capacity (TAC), total oxidant status (TOS), and oxidative stress index (OSI)-were quantified.

The genotype frequencies of rs854560 and rs662 differed significantly between GC patients and controls. The rs854560 polymorphism was linked to GC risk in co-dominant and dominant inheritance models, while rs662 was associated in co-dominant, dominant, and recessive models. PON1 and ARE activities were significantly reduced in GC patients compared to controls (p = 0.001 and p < 0.001, respectively). TAC was higher in controls (p = 0.006), whereas TOS and OSI showed non-significant trends toward elevation in the GC group (p = 0.093 and p = 0.181, respectively). Genotype stratification revealed significant variations in PON1, ARE, TAC, TOS, and OSI levels across rs854560 and rs662 variants.

Our findings indicate that genetic polymorphisms in PON1, specifically rs662 and rs854560, influence susceptibility to gastric cancer by altering oxidative stress markers. These findings provide insights into how PON1 genetic variations affect oxidative stress and contribute to cancer risk.

The majority of patients with advanced esophageal or gastric cancer do not start palliative systemic treatment. To gain insight into the considerations underlying the decision not to start systemic treatment, we analyzed characteristics of patients starting and not starting systemic treatment, reasons for not starting systemic treatment, and receipt of local palliative treatments on a nationwide scale. Patients diagnosed with advanced esophageal or gastric cancer between 2015 and 2021 were included (n = 10,948). Survival was compared using propensity score matching on patient and disease characteristics. Most patients did not start systemic treatment (esophageal cancer 59%; gastric cancer 64%). These patients were generally older, more often female, had more comorbidities and a worse performance status. The main reason for not starting systemic treatment was patient or family preference (35%). Among patients who did not start systemic treatment, 47% (esophageal) and 19% (gastric), received local palliative treatment, most commonly radiotherapy. Patients who did not start systemic treatment had worse median overall survival compared to patients who did start (esophageal cancer 2.9 months vs. 8.9 months; gastric cancer 2.2 vs. 8.2 months). These findings indicate that patient condition and disease burden are important aspects in systemic treatment decisions. However, patient or family preference was the main reason for not starting systemic treatment, highlighting that their priorities also strongly influence the decision. Systemic treatment did show to be associated with improved overall survival in matched patients, and therefore adequately weighing treatment risks and benefits based on real world data against patient preferences is of utmost importance.

This study aims to integrate CT (Computed Tomography) radiomic features, gene expression profiles, and clinical data to identify radiogenomic biomarkers and improve overall survival prediction in gastric cancer (GC) patients.

Quantitative radiomic analysis was performed on 37 GC CT images, alongside gene expression and clinical data, to identify biomarkers associated with overall survival. Tumor segmentation and radiomic feature extraction were followed by Pearson correlation for feature selection. Gene Set Enrichment Analysis (GSEA) identified pathways linking gene expression changes with radiomic features. Regression models were applied to explore the relationships between these pathways, radiomic features, and clinical data in survival prediction.

A total of 107 radiomic features were extracted, with 46 radiomic features, 1,032 genes, and one clinical feature (age) selected for further analysis. GSEA identified 29 significant KEGG pathways, mainly involving immune, signal transduction, and catabolism pathways. In survival analysis, the SVM model performed best, identifying age, genes CSF1R and CXCL12, and image features ShortRunHighGrayLevelEmphasis and Idn (Inverse Difference Normalized) as independent predictors.

This study highlights the potential of integrating imaging, genomics, and clinical data for prognosis in GC patients, with identified genes suggesting new radiogenomic biomarker candidates for future evaluation.

Diffuse-type gastric cancer (DGC), characterized by poorly cohesive cells within fibrotic stroma, is associated with advanced disease and poor prognosis. Here, to identify distinct biomarkers for DGC compared with intestinal-type gastric cancer, we constructed a comprehensive large-scale signaling network using RNA-sequencing data from three genomic databases (The Cancer Genome Atlas, GSE62254 and GSE26253), developed a mathematical model and conducted simulation analyses. For validation, we used tissue microarray blocks of gastric cancers with immunohistochemical staining, single-cell RNA sequencing, primary cultures of cancer-associated fibroblasts (CAFs) and organoids, and a co-culture system involving CAFs and cancer cells. Signaling network analysis identified six differentially activated signaling components across the database, including BIRC5, TTK, NEK2, FHL1, NR2F1 and FBLN5. Among the differentially activated signaling components, high tumoral expression of fibulin-5 protein encoded by FBLN5 correlated with poor overall and disease-specific survival rates in patients with DGC, even after adjusting for the tumor, node, metastases (TNM) stage. Fibulin-5, derived from CAFs within DGC stroma, promoted organoid growth and epithelial-mesenchymal transition (EMT) in DGC cell lines via the cAMP response element-binding protein (CREB) pathway in a CAF co-culture system. FBLN5 knockdown in CAFs reduced the aggressive phenotype of co-cultured DGC cells, while CREB inhibitors reversed EMT. Furthermore, levels of secreted FBLN5 in patient blood samples correlated with its expression in primary tumors. In summary, fibulin-5 secreted by CAFs and interacted with DGC cells promotes EMT and is clinically associated with poor patient outcomes. These findings suggest fibulin-5 as a potential prognostic marker and therapeutic target in patients with DGC.

Gastric cancer (GC) poses a major global health challenge, underscoring the need for advanced diagnostic and therapeutic approaches. Non-coding RNAs (ncRNAs), including microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and circular RNAs (circRNAs), have emerged as pivotal regulators in GC, with their dysregulated expression driving key processes such as tumorigenesis, metastasis, immune evasion, and chemoresistance. The functional diversity of ncRNAs across different GC molecular subtypes highlights their potential as biomarkers for improved subtype classification and patient stratification. Beyond their diagnostic value, ncRNAs demonstrate critical regulatory functions in tumor biology, establishing these RNA molecules as promising targets for therapeutic development. Strategies based on RNA hold considerable promise for addressing critical challenges such as immune escape and drug resistance by modulating key signaling pathways. These approaches can enhance immune responses, reprogram the tumor microenvironment, and reverse resistance mechanisms that compromise treatment efficacy, thereby improving clinical outcomes. Although ncRNAs represent a promising frontier in GC precision medicine, further research is required to fully harness their clinical potential.

Gastric cancer (GC) is one of the most common cancers worldwide particularly in Asian populations, and certain diets have been associated with increased risk of GC. Recent advances in microbial profiling technology have facilitated investigations on microbes residing on the gastric mucosa and increasing evidence has revealed the critical roles of non-Helicobacter pylori gastric microbes in gastric tumorigenesis. On the other hand, diets can affect microbial communities, causing compositional and functional shift of the microbiota. In this review, we summarize the influence of various diets including processed meat, salt-preserved food, high-fat diet, and alcohol on the development and progression of GC. We also explore microbial metabolites and host-microbe interactions in gastric tumorigenesis, alongside dietary interventions targeting the microbiota for the prevention and management against GC.

Stomach cancer (SC) is the fifth most prevalent and deathly type of cancer worldwide. This is a multifactorial disease, and its development can be influenced by both genetic factors and dietary habits. On the other hand, a regular consumption of fruit and vegetables rich in bioactive compounds, such as polyphenols and flavonoids, has demonstrated anti-inflammatory, antioxidant, and chemopreventive effects on SC. Brazil, which has a vast plant diversity, appears to be a promising scenario for investigating species with potential anti-tumor action. Thus, the objective of this review is to present and discuss the chemopreventive aspects of native Brazilian species in SC. Less-explored fractions of native plants, such as açaí (Euterpe oleracea), araçá-do-campo (Psidium guineense), yellow araçá (Psidium cattleianum Sabine), cacao (Theobroma cacao), coriander (Eryngium foetidum), physalis (Physalis angulata), guava (Psidium guajava), jambu (Acmella oleracea), pitanga (Eugenia uniflora), and ubaia (Eugenia patrisii), have demonstrated the ability to slow down the progression of the disease, indicating suppression of cell proliferation and survival, induction of apoptosis, and regulation of the cell cycle, despite showing not mechanism of action in the great majority of these studies. Although, still little studied, Brazilian plant matrices could show a promising impact against SC.

Helicobacter pylori (H. pylori) is a known risk factor for gastric cancer, possibly via the PD-1/L1 pathway, and this infection may reduce the efficacy of immune checkpoint inhibitors (ICIs). This study explored the effects of H. pylori infection status on survival outcomes in patients with gastric cancer.

This single-center, retrospective study included patients with gastric adenocarcinoma between June 1985 and August 2022. Patients with different histological subtypes were excluded. Primary variables of interest included H. pylori infection status and treatment with ICIs. Other clinical information included demographics, cancer histology, the presence of other cancers, and vital status.

A total of 2930 patients were included, of whom 206 (7.0%) received ICIs, 196 (6.7%) had prior H. pylori infection, and 1037 (35.4%) had a diffuse subtype. Diffuse cancer subtypes were associated with better survival (P<0.05) at 3 and 5 years compared to intestinal-type adenocarcinomas. Diffuse cancers demonstrated better survival outcomes than intestinal cancers at 10 years, but only among H. pylori-positive patients (P=0.013). H. pylori positivity was associated with worse survival at 3 years (P=0.041) among patients taking ICIs, but not in those not receiving ICIs (P=0.325).

These findings suggest H. pylori infection may be an obstacle to successful immunotherapy, and may interact with cancer subtypes to differentially impact survival. Future studies are needed to validate the potential prognostic value of H. pylori positivity in gastric cancer.

Helicobacter pylori ( Hp ) and gastric atrophy represent significant risk factors for gastric cancer (GC). Nevertheless, to date, no nomogram has been developed to predict GC based on the specific combination of risk factors present in individual cases.

A retrospective cohort study was conducted using health screening data collected between 2003 and 2018. Subjects with positive results for anti- Hp antibody were enrolled. Individuals were classified into 4 groups: low-B (low titer without atrophy), high-B (high titer without atrophy), high-C (high titer with atrophy), and low-C (low titer with atrophy). Nomogram prediction models were developed for overall GCs as well as intestinal and diffuse cancers, with each type considered a competing event, by using both Cox proportional and subdistribution hazard models. Prediction performance was evaluated using the concordance index (c-index) and the area under the curve through 10-fold cross-validation.

During a median follow-up period of 5.7 years, 231 new GC cases developed among the total cohort of 28,311 subjects, including 159 intestinal type, 68 diffuse type, and 4 cases of unknown type. Multivariable analyses indicated that age, body mass index, family history, smoking, and classification into the high-C or low-C group were significant predictors of GC. The nomograms for intestinal type, diffuse type, and total GC demonstrated area under the curve values of 0.82, 0.62, and 0.75, respectively, and c-indices of 0.85, 0.54, and 0.76, respectively.

The nomograms for GC prediction would be useful in identifying high-risk individuals, particularly for intestinal type. This would facilitate the implementation of personalized eradication and intensive screening strategies to target those at higher risk for GC.

Within the tumor microenvironment (TME), the association of B lymphocytes (B cells) with prognosis and therapy response in gastric cancer (GC) remains poorly characterized. We investigated the predictive and prognostic value of B cells, including their spatial organization within the TME, in one of the largest multi-cohort studies to date.

Using CD20 immunohistochemistry, we evaluated B cell density in resection specimens from 977 patients with resectable GC across three cohorts, including the randomized phase III Korean CLASSIC trial. The relationship between CD20 density, clinicopathological characteristics, and overall survival (OS) was analyzed. Digital spatial profiling of 1063 regions of interest from 15 patients was performed to characterize B cell distribution within different regions of interest (ROIs) using the NanoString GeoMx platform.

CD20 density was significantly higher in diffuse-type GC compared to intestinal-type (p = 0.000012). Patients with CD20-low diffuse-type GC had the shortest OS in the CLASSIC trial (median OS: 49 vs 62 months, HR: 1.9, 95% CI: 1.2-3.0, p = 0.003) and in a Japanese cohort (median OS: 49 vs 67 months, HR: 2.2, 95% CI: 1.2-4.0, p = 0.011). This survival difference was not seen in patients treated with adjuvant chemotherapy (median OS: 62 vs 63 months, HR: 1.8, 95% CI: 0.88-3.5, p = 0.108). Spatial profiling revealed significant B cell enrichment within tumor ROIs compared to the stroma, particularly in diffuse-type GC.

Low CD20 positivity, especially in diffuse-type GC, is linked to poor prognosis and may identify patients who could benefit from chemotherapy. These findings underscore the role of B cells in GC.

At a population level, the European Society of Gastrointestinal Endoscopy (ESGE), the European Helicobacter and Microbiota Study Group (EHMSG), and the European Society of Pathology (ESP) suggest endoscopic screening for gastric cancer (and precancerous conditions) in high-risk regions (age-standardized rate [ASR] > 20 per 100 000 person-years) every 2 to 3 years or, if cost-effectiveness has been proven, in intermediate risk regions (ASR 10-20 per 100 000 person-years) every 5 years, but not in low-risk regions (ASR < 10).ESGE/EHMSG/ESP recommend that irrespective of country of origin, individual gastric risk assessment and stratification of precancerous conditions is recommended for first-time gastroscopy. ESGE/EHMSG/ESP suggest that gastric cancer screening or surveillance in asymptomatic individuals over 80 should be discontinued or not started, and that patients' comorbidities should be considered when treatment of superficial lesions is planned.ESGE/EHMSG/ESP recommend that a high quality endoscopy including the use of virtual chromoendoscopy (VCE), after proper training, is performed for screening, diagnosis, and staging of precancerous conditions (atrophy and intestinal metaplasia) and lesions (dysplasia or cancer), as well as after endoscopic therapy. VCE should be used to guide the sampling site for biopsies in the case of suspected neoplastic lesions as well as to guide biopsies for diagnosis and staging of gastric precancerous conditions, with random biopsies to be taken in the absence of endoscopically suspected changes. When there is a suspected early gastric neoplastic lesion, it should be properly described (location, size, Paris classification, vascular and mucosal pattern), photodocumented, and two targeted biopsies taken.ESGE/EHMSG/ESP do not recommend routine performance of endoscopic ultrasonography (EUS), computed tomography (CT), magnetic resonance imaging (MRI), or positron emission tomography (PET)-CT prior to endoscopic resection unless there are signs of deep submucosal invasion or if the lesion is not considered suitable for endoscopic resection.ESGE/EHMSG/ESP recommend endoscopic submucosal dissection (ESD) for differentiated gastric lesions clinically staged as dysplastic (low grade and high grade) or as intramucosal carcinoma (of any size if not ulcerated or ≤ 30 mm if ulcerated), with EMR being an alternative for Paris 0-IIa lesions of size ≤ 10 mm with low likelihood of malignancy.ESGE/EHMSG/ESP suggest that a decision about ESD can be considered for malignant lesions clinically staged as having minimal submucosal invasion if differentiated and ≤ 30 mm; or for malignant lesions clinically staged as intramucosal, undifferentiated and ≤ 20 mm; and in both cases with no ulcerative findings.ESGE/EHMSG/ESP recommends patient management based on the following histological risk after endoscopic resection: Curative/very low-risk resection (lymph node metastasis [LNM] risk < 0.5 %-1 %): en bloc R0 resection; dysplastic/pT1a, differentiated lesion, no lymphovascular invasion, independent of size if no ulceration and ≤ 30 mm if ulcerated. No further staging procedure or treatment is recommended.Curative/low-risk resection (LNM risk < 3 %): en bloc R0 resection; lesion with no lymphovascular invasion and: a) pT1b, invasion ≤ 500 µm, differentiated, size ≤ 30 mm; or b) pT1a, undifferentiated, size ≤ 20 mm and no ulceration. Staging should be completed, and further treatment is generally not necessary, but a multidisciplinary discussion is required. Local-risk resection (very low risk of LNM but increased risk of local persistence/recurrence): Piecemeal resection or tumor-positive horizontal margin of a lesion otherwise meeting curative/very low-risk criteria (or meeting low-risk criteria provided that there is no submucosal invasive tumor at the resection margin in the case of piecemeal resection or tumor-positive horizontal margin for pT1b lesions [invasion ≤ 500 µm; well-differentiated; size ≤ 30 mm, and VM0]). Endoscopic surveillance/re-treatment is recommended rather than other additional treatment. High-risk resection (noncurative): Any lesion with any of the following: (a) a positive vertical margin (if carcinoma) or lymphovascular invasion or deep submucosal invasion (> 500 µm from the muscularis mucosae); (b) poorly differentiated lesions if ulceration or size > 20 mm; (c) pT1b differentiated lesions with submucosal invasion ≤ 500 µm with size > 30 mm; or (d) intramucosal ulcerative lesion with size > 30 mm. Complete staging and strong consideration for additional treatments (surgery) in multidisciplinary discussion.ESGE/EHMSG/ESP suggest the use of validated endoscopic classifications of atrophy (e. g. Kimura-Takemoto) or intestinal metaplasia (e. g. endoscopic grading of gastric intestinal metaplasia [EGGIM]) to endoscopically stage precancerous conditions and stratify the risk for gastric cancer.ESGE/EHMSG/ESP recommend that biopsies should be taken from at least two topographic sites (2 biopsies from the antrum/incisura and 2 from the corpus, guided by VCE) in two separate, clearly labeled vials. Additional biopsy from the incisura is optional.ESGE/EHMSG/ESP recommend that patients with extensive endoscopic changes (Kimura C3 + or EGGIM 5 +) or advanced histological stages of atrophic gastritis (severe atrophic changes or intestinal metaplasia, or changes in both antrum and corpus, operative link on gastritis assessment/operative link on gastric intestinal metaplasia [OLGA/OLGIM] III/IV) should be followed up with high quality endoscopy every 3 years, irrespective of the individual's country of origin.ESGE/EHMSG/ESP recommend that no surveillance is proposed for patients with mild to moderate atrophy or intestinal metaplasia restricted to the antrum, in the absence of endoscopic signs of extensive lesions or other risk factors (family history, incomplete intestinal metaplasia, persistent H. pylori infection). This group constitutes most individuals found in clinical practice.ESGE/EHMSG/ESP recommend H. pylori eradication for patients with precancerous conditions and after endoscopic or surgical therapy.ESGE/EHMSG/ESP recommend that patients should be advised to stop smoking and low-dose daily aspirin use may be considered for the prevention of gastric cancer in selected individuals with high risk for cardiovascular events.

Despite a decline in global incidence, gastric cancer (GC) remains a major health concern. The development of GC is a sequential, multistage maladaptive process involving numerous different factors. Understanding the complexity of GC development is crucial for early detection, effective treatment, and, ultimately, prevention. In this respect, identifying the impact of risk factors contributing to the emergence or progression of GC, such as Helicobacter pylori infection, host and bacterial genetics, alcohol consumption, smoking, and preserved foods, will aid in combatting this disease. In this review, we focus on recent developments in understanding the role of the microbiome, dysfunctional molecular pathways, and immune evasion in gastric pathophysiology. We also highlight challenges and advances in treatment of GC.

To develop a nomogram based on clinical features and spectral quantitative parameters to preoperatively predict the Lauren classification for locally advanced gastric cancer (LAGC).

Patients diagnosed with LAGC by postoperative pathology who underwent abdominal triple-phase enhanced spectral computed tomography (CT) were prospectively enrolled in this study between June 2023 and December 2023. All the patients were categorized into intestinal- and diffuse-type groups according to the Lauren classification. Traditional characteristics, including demographic information, serum tumor markers, gastroscopic pathology, and image semantic features, were collected. Spectral quantitative parameters, including iodine concentration (IC), effective atomic number (Zeff), and slope of the energy spectrum curve from 40 keV to 70 keV (λ), were measured three times for each patient by two blinded radiologists in arterial/venous/delayed phases (AP/VP/DP). Differences in traditional features and spectral quantitative parameters between the two groups were compared using univariable analysis. Independent predictors of the Lauren classification of LAGC were screened using multivariable logistic regression analysis. Receiver operating characteristic (ROC) curve analysis was used to assess the discriminating capability. Ultimately, the nomogram, including clinical features and spectral CT quantitative parameters, was developed.

Gender, nIC in AP (APnIC), and λ in DP (λd) were independent predictors for Lauren classification. The nomogram based on these indicators produced the best performance with an area under the curve of 0.841 (95% confidence interval: 0.749-0.932), specificity of 85.3%, accuracy of 76.4%, and sensitivity of 68.4%.

The nomogram based on clinical features and spectral CT quantitative parameters exhibits great potential in the preoperative and non-invasive assessment of Lauren classification for LAGC.

Question Can the proposed nomogram, integrating clinical features and spectral quantitative parameters, preoperatively predict the Lauren classification in locally advanced gastric cancer (LAGC)? Findings The nomogram, based on gender, arterial phase normalized iodine concentration, and slope of the energy spectrum curve in the delayed phase showed satisfactory predictive ability. Clinical relevance The established nomogram could contribute to guiding individualized treatment strategies and risk stratification in patients by predicting the Lauren classification for LAGC before surgery.

Advancements in the management of gastric cancer (GC) and innovative therapeutic approaches highlight the significance of the role of biomarkers in GC prognosis. Machine-learning (ML)-based methods can be applied to identify the most important predictors and unravel their interactions to classify patients, which might guide prioritized treatment decisions.

A total of 140 patients with histopathological confirmed GC who underwent surgery between 2011 and 2016 were enrolled in the study. The inspired modification of the partial least squares (SIMPLS)-based model was used to identify the most significant predictors and interactions between variables. Predictive partition analysis was employed to establish the decision tree model to prioritize markers for clinical use. ML models have also been developed to predict TNM stage and different subtypes of GC. Latent class analysis (LCA) and principal component analysis (PCA) were carried out to cluster the GC patients and to find a subgroup of survivors who tended to die.

The findings revealed that the SIMPLS method was able to predict the mortality of GC patients with high predictabilities (Q2 = 0.45-0.70). The analysis identified MMP-7, P53, Ki67, and vimentin as the top predictors. Correlation analysis revealed different patterns of prognostic markers in the non-survivor and survivor cohorts and different GC subtypes. The main prediction models were verified via other ML-based analyses, with a high area under the curve (AUC) (0.84-0.99), specificity (0.82-0.99) and sensitivity (0.87-0.99). Patients were classified into three clusters of mortality risk, which highlighted the most significant mortality predictors. Partition analysis prioritizes the most significant predictors P53 ≥ 6, COX-2 > 2, vimentin > 2, Ki67 ≥ 13 in mortality of patients (AUC = 0.85-0.90).

The present study highlights the importance of considering multiple variables and their interactions to predict the prognosis of mortality and stage in GC patients through ML-based techniques. These findings suggest that the incorporation of molecular biomarkers may enhance patient prognosis compared to relying solely on clinical factors. Furthermore, they demonstrate the potential for personalized medicine in GC treatment by identifying high-risk patients for early intervention and optimizing therapeutic strategies. The partition analysis technique offers a practical tool for identifying cutoffs and prioritizing markers for clinical application. Additionally, providing Clinical Decision Support systems with predictive tools can assist clinicians and pathologists in identifying aggressive cases, thereby improving patient outcomes while minimizing unnecessary treatments. Overall, this study contributes to the ongoing efforts to improve patient outcomes by advancing our comprehension of the intricate nature of GC.

Despite radical surgery, gastric cancer (GC) survival rates remain low in Western countries. Randomised trials suggest that perioperative chemotherapy downstages disease, improving long-term survival without increasing complications. We compared outcomes for upfront surgery (US) versus surgery combined with perioperative EOX (epirubicin, oxaliplatin, capecitabine) therapy for short- and long-term survival.

We analysed 310 patients who underwent curative intent gastrectomy for GC at a single tertiary centre from 2006 to 2017. Patients were assigned to the EOX group (n = 105) or the US group (n = 205). Propensity score matching (PSM) was utilised to balance baseline characteristics, clinical stage, surgery type, and histology. Short-term outcomes included the Comprehensive Complication Index (CCI) and 30-day mortality, while long-term outcomes were overall survival (OS), disease-specific survival (DSS), and disease-free survival (DFS).

After PSM, 102 patients remained in each group. The EOX group exhibited significantly lower preoperative haemoglobin levels compared to the US group, but other baseline characteristics were comparable. Tumour-related outcomes favoured the EOX group, with significantly smaller tumours (P < 0.001), fewer metastatic lymph nodes (P = 0.004), and lower tumour stages overall. Splenectomy was more common in the US group (40.2% versus 23.5%, P = 0.011). Postoperative complications were similar between groups, although ICU admissions were more frequent in the EOX group (16.7% versus 6.9%, P = 0.030). Thirty-day mortality rates were low and comparable (1.0% in the EOX group versus 2.0% in the US group, P = 1.000). Long-term outcomes, including overall survival (OS), disease-specific survival (DSS), and disease-free survival (DFS), showed no significant differences between the groups.

Perioperative EOX therapy is as safe as upfront surgery and significantly reduces metastatic lymph nodes and tumour size, suggesting its role in downstaging the disease. However, despite these promising oncological responses, this benefit does not translate into improved long-term survival.

Alpha-fetoprotein-producing gastric carcinoma (AFPGC) is an aggressive subtype of gastric cancer characterized by a primitive cellular phenotype and poor prognosis. The tumor immunology of AFPGC remains largely unexplored. Given its embryonic-like properties, AFPGC is hypothesized to employ distinct immune evasion strategies, with the oncofetal protein human leukocyte antigen (HLA)-G-a key mediator of maternal-fetal immune tolerance-likely playing a pivotal role. To test this, we assessed the expression of HLA-G, along with other key immune evasion markers, including HLA class I (HLA-I) deficiency and PD-L1 expression, in 39 cases of AFPGC, and compared them with those of 44 Epstein-Barr virus (EBV)-positive, 57 microsatellite instability (MSI), 54 intestinal-type, and 45 diffuse-type gastric carcinomas. HLA-G expression was significantly higher in AFPGCs (71%) than in other subtypes (7-28%; P < 0.001). HLA-I deficiency (≥ 1% of tumor cells) was most prevalent in AFPGC (69%), followed by MSI tumors (56%), with lower rates in other subtypes (22-29%). PD-L1 positivity (combined positive score ≥ 5) was observed in 41% of AFPGCs, lower than in EBV-positive (77%) and MSI tumors (44%), but higher than in intestinal-type (13%) and diffuse-type (9%) carcinomas. Furthermore, CD8-positive T-cell infiltration was found to be lowest in AFPGC compared to the other subtypes. These findings suggest that AFPGC employs multiple immune evasion mechanisms, notably through increased HLA-G expression and HLA-I deficiency, likely linked to its primitive cellular phenotype and reactivation of immunogenic oncofetal antigens. Such immune evasion features may underlie the aggressiveness of AFPGC and present promising targets for immunotherapeutic interventions.

SMAD4 mutation and homozygous deletion represent the most prevalent genomic events driving aggressive biological behavior in gastric cancer (GC). However, clinical outcome and therapeutic response in GC patients with Smad4-loss remains obscure.

This study included 990 GC patients from four independent clinical centers including the Zhongshan Hospital (ZSHS) cohort, the Cancer Genomic Atlas (TCGA) cohort, the Samsung Medical Center (SMC) cohort and the Memorial Sloan Kettering Cancer Center (MSKCC) cohort.

In ZSHS cohort, 60/454 GC patients harbored Smad4-loss are characterized by lower pN stage, well histology differentiation, lower EBV infection, null p53 staining and lower tumor proliferation. Smad4-loss GC patients exhibit miserable overall survival across ZSHS cohort and TCGA cohort. Moreover, Smad4-loss GC patients yield no impact on adjuvant chemotherapy, poor outcome upon anti-PD-1 immunotherapy or anti-HER-2 therapy. Interestingly, Smad4-loss GC show more well and intermediate differentiation and lower Ki67 staining. Furthermore, Smad4-loss GC exhibit tumor immunosuppressive contexture characterized with enriched CXCL13+CD8+T cells, reduced IFN-γ+ cells and GZMB+ cells infiltration.

Smad4 loss yields poor clinical outcome, immunotherapy and anti-HER-2 treatment resistance and tumor immunosuppressive contexture in GC patients. Our findings provide clues for further detailed biological investigation and aggressive clinical management in Smad4-loss GC patients.

Mitochondria have their own genome (mtDNA), which in humans is a circular multi-copy genome consisting of 16 569 base pairs. Abnormalities in the mtDNA have been reported to correlate with various age-related pathophysiologies.

Based on a total of 182 DNA samples extracted from gastric cancer tissues, we measured mtDNA copy numbers (mtDNA-CN) using real-time polymerase chain reaction (PCR) and then examined alongside sex, age, tumor stage, Laurén classification, and the overexpression of Human Epidermal Growth Factor Receptor 2 (HER2).

We found no sex differences in mtDNA-CN and no correlation with age, but significant differences according to tumor stage. The mtDNAcn of intestinal type by Laurén classification was significantly larger than that of diffuse type. There was no significant difference in mtDNA-CN between HER2-positive and -negative tissues. Multiple regression analyses showed that only the tumor stage was a significant variable, while Laurén classification was not.

These results indicate that mitochondrial genomic abnormalities contribute the progression of gastric cancer independently of HER2 overexpression, and may shed light on the emerging role of mtDNA-CN in situ as a possible biomarker for estimating cancer progression.

Poorly differentiated gastric cancer (PDGC) is characterized by high invasiveness, rapid progression, and poor prognosis for patients. Differentiation therapy has long been a promising approach by manipulating the differentiation state of tumor cells to inhibit tumor growth, offering fewer side effects. Decitabine (DAC), is known as an inhibitor of DNA methylation, thus reactivating the transcription of previously methylated silenced genes associated with differentiation to induce a more differentiated state. This study used the differentiation-inducing agents DAC to treat two PDGC cell lines, MKN45 and NUGC4, and explored the impact of DAC on cell proliferation and influence of their sensitivity to Natural Killer cells (NK cells) mediated cytotoxicity. The results demonstrated a significant reduction in cell proliferation, migration, and invasion without affecting cell viability after DAC treatment. Additionally, transcriptomic analysis revealed that DAC-treated PDGC cells upregulated multiple immune-related genes, including the gene encoding for tumor necrosis factor alpha (TNF-α). Co-culture study of NK cells and PDGC cells showed that DAC treatment enhanced the sensitivity of these cancer cells to NK cell-mediated cytotoxicity, and TNF-α played a crucial role in promoting NK cell cytotoxicity. Following the subcutaneous implantation of tumors in nude mice, DAC administration significantly inhibited the growth of PDGC tumors and induced the upregulation of differentiation related genes. In summary, DAC effectively reduces the malignant characteristics of the PDGC cells by promoting their transition towards a higher state of differentiation and enhancing their sensitivity to NK cell-mediated killing, providing new insights for the mechanisms of the antitumor effects of DAC.

Helicobacter pylori infection and subsequent atrophic gastritis (AG) and intestinal metaplasia (IM) are regarded as precursor conditions for gastric cancer (GC). Though diverse mechanisms of carcinogenesis from AG and IM have been clarified using mouse models, few studies using human models have been reported. Here, we describe in vitro modeling of IM, as well as in vivo modeling of the oncogenic transformation from AG using human gastric organoids.

Organoids derived from patients with AG were established and characterized by immunohistochemistry and in situ hybridization. Niche factor withdrawal and genetic engineering using CRISPR/Cas9 were conducted for modeling IM, and manipulated organoids were xenografted subcutaneously in mice to establish a GC model.

AG organoids (AGOs) were maintained by Wnt niche factors; withdrawal of these factors led to differentiation toward foveolar cells. Knockout of Runt-related transcription factor 3 (RUNX3), or activation of bone morphogenetic protein (BMP) signaling, resulted in accumulation of the key IM markers caudal-type homeobox 2 (CDX2) and mucin 2 (MUC2) in AGOs; disruption of SMAD4 counteracted the induction of these markers. Organoids doubly deficient for TP53 and SMAD4 formed larger and more proliferative p21 -negative subcutaneous tumors than did RUNX3-deficient organoids, suggesting that induction of a senescent state is a key barrier in stepwise carcinogenesis from AG.

Wnt signaling is essential for homeostasis of AG, and SMAD4-dependent activation of BMP signaling promotes intestinal differentiation. Combined disruption of TP53 and SMAD4 confers tumorigenic potential to AGOs by inhibiting p21 induction.

This study aimed to define an optimal age cutoff for early-onset gastric cancer (EOGC) and compare its characteristics with those of late-onset gastric cancer (LOGC) using nationwide survey data.

Using data from a nationwide survey, this comprehensive population-based study analyzed data spanning 3 years (2009, 2014, and 2019). The joinpoint analysis and interrupted time series (ITS) methodology were employed to identify age cutoffs for EOGC based on the sex ratio and tumor histology. Clinicopathologic characteristics and surgical outcomes were compared between the EOGC and LOGC groups.

The age cutoff for defining EOGC was suggested to be 50 years, supported by joinpoint and ITS analyses. Early gastric cancer was predominantly present in the EOGC and LOGC groups. Patients with EOGC comprised 20.3% of the total study cohort and demonstrated a more advanced disease stage compared to patients with LOGC. However, patients with EOGC underwent more minimally invasive surgeries, experienced shorter hospital stays, and had lower postoperative morbidity and mortality rates.

This study proposes an age of ≤50 years as a criterion for defining EOGC and highlights its features compared to LOGC. Further research using this criterion should guide tailored treatment strategies and improve outcomes for young patients with gastric cancer.

KMT2C and KMT2D ( KMT2C/D ) are frequently mutated in gastric adenocarcinoma, yet their function in cancer initiation remains poorly understood. In this study, based on the observation that loss-of-function mutations of KMT2C and KMT2D are enriched and co-occur in gastric adenocarcinoma, we developed genetically engineered mouse models to selectively knock out Kmt2c and Kmt2d in gastric epithelial cells with Tmprss2-CreER T2 . Through histological staining and single-cell RNA sequencing, we observed that Kmt2c/d loss led to nuclear dysplasia and expansion of cells with mixed gastric lineage markers. When combined with Pten deletion, Kmt2c/d loss drove rapid development of muscle-invasive gastric adenocarcinoma as early as 3 weeks post Cre-mediated gene deletion. The adenocarcinoma exhibited decreased expression of gastric lineage markers and increased expression of intestinal differentiation markers, phenocopying human gastric adenocarcinoma. Kmt2c/d knockout reduced protein synthesis but upregulated transcription of ribosomal proteins, rendering sensitivity to mTORC1 inhibitors. Additionally, Kmt2c/d knockout increased MHC-I molecule expression and enhanced antigen presentation. Combination of mTROC1 inhibition and anti-PD1 immunotherapy significantly suppressed tumor growth in immune-competent mice. Together, these findings reveal the role of Kmt2c / d loss in gastric cancer initiation and suggest the potential therapeutic strategies for KMT2C/D -deficient gastric cancer.

The mechanism of tumor budding (TB) in gastric adenocarcinoma (GAC) and its relationship with biological indicators and prognostic significance, remains unclear. In this study, we conducted a comprehensive analysis using whole-slide imaging to evaluate TB in 75 cases of GAC. Our findings revealed the risk factors associated with TB in GAC and their impact on patient prognosis. The results indicate that the majority of cases exhibited a TB grade exceeding 10 (n=41), followed by 6-10 (n=15). Histologic grade (R=0.26, P =0.06), pT stage (R=0.56, P =0.00), neural invasion (R=0.29, P =0.01), marginal zone growth pattern (R=0.25, P =0.02), and basal zone growth pattern (R=0.38, P =0.001) are associated with TB in GAC. Logistic regression analysis revealed that the infiltrative growth pattern in both the marginal zone (odds ratio=5.90, 95% CI: 1.04-33.44, P =0.05) and basal zone (odds ratio=12.80, 95% CI: 2.03-80.68, P =0.01) were identified as risk factors for TB in GAC. Univariate analysis demonstrated a negative correlation between TB and TB grade with overall survival and progression-free survival in GAC patients. Furthermore, the multivariate COX analysis revealed that TB and TB grade, along with American Joint Committee on Cancer stage, lymph node metastasis, and pT stage, independently influenced the prognosis of GAC patients. In conclusion, a comprehensive evaluation of TB could serve as a significant histologic marker for risk stratification in GAC.

Specific types of gastric tumors, including gastric linitis plastica and lymphoma, may cause extensive deep-layer infiltration, impeding an accurate diagnosis with endoscopic biopsy. This study aims to evaluate the efficacy of endoscopic ultrasound (EUS)-guided bite-on-bite biopsy and EUS-guided fine-needle aspiration (EUS-FNA) in diagnosing gastric malignancies with negative endoscopic biopsies.

We retrospectively analyzed suspicious malignant gastric lesion cases in our hospital from October 2017 to August 2023. Clinical manifestations, radiographical examinations, endoscopic examinations, histopathological results, and therapeutic strategies were recorded and analyzed.

Forty malignant gastric tumor cases with negative endoscopic biopsies were incorporated into our study. EUS-guided bite-on-bite biopsy was performed in 16 cases exclusively, whereas 17 patients received EUS-FNA exclusively, and seven patients underwent both simultaneously. Among the 23 patients who received the EUS-guided bite-on-bite biopsy, 22 (95.7%) were diagnosed with malignancies. Among the 24 patients who received EUS-FNA, a total of 19 cases with malignancies (79.2%) were confirmed by EUS-FNA (p = 0.11): 13 gastric adenocarcinomas, five metastatic malignancies, and one malignant stromal tumor. No adverse events were observed in any of the cases.

EUS-guided bite-on-bite biopsy and EUS-FNA possess their advantages and disadvantages. EUS-guided bite-on-bite biopsy could serve as a reliable diagnostic method for shallow lesions with negative malignant endoscopic biopsies.

Gastric cancer remains a leading cause of cancer-related mortality worldwide. In the United States, gastric cancer incidence and mortality are substantially higher among non-White racial and ethnic groups and new immigrants from high-incidence countries. This is in large part related to the higher prevalence of Helicobacter pylori -associated gastric premalignant changes in these populations. Apart from primary prevention, early detection of gastric cancer is the principal strategy to reduce gastric cancer mortality and improve survival. Extensive evidence in Asian countries has demonstrated the benefits of endoscopic screening in detecting early-stage gastric cancer and reducing gastric cancer-related mortality. By contrast, direct, high-quality US-based data, such as from large clinical trials or observational studies, on important outcomes of gastric cancer screening are still lacking. In this review, we evaluate and summarize the latest global evidence on the epidemiology and predisposing factors of gastric cancer as well as the efficacy, benefits vs. risks, and cost-effectiveness of gastric cancer screening. We further discuss the critical knowledge gaps and challenges in promoting gastric cancer screening in the United States. Dedicated research is urgently needed to enrich the US-based data on gastric cancer primary and secondary prevention to inform clinical practice and reduce gastric cancer-related morbidity and mortality in a cost and resource efficient manner.

Gastric cancer is an inflammation-driven disease often associated with a bad prognosis. Upstream stimulatory factors USF1 and USF2 are pleiotropic transcription factors, with tumor suppressor function. Low expression of USF1 is associated with low survival in gastric cancer patients. USF1 genetic polymorphism -202G > A has been associated with cancer susceptibility. Our aim was to investigate USF1 gene polymorphism and serum level with the risk of gastric cancer.

USF1-202 G/A polymorphism was analyzed by sanger sequencing, with the measure of USF1/USF2 serum levels by ELISA in H. pylori-positive patients with chronic gastritis, gastric precancerous lesions, gastric cancer and in healthy controls.

Our results show that the presence of the USF1-202 A allele increased the risk of gastric cancer compared to G (OR = 2; 95% CI 1.07-3.9; P = 0.02). Genotypically and under the dominant mutation model, the combined USF1- GA/AA -202 genotypes corresponded to higher risk of gastric cancer (OR = 3.5; 95% CI 1.4-8.2; p-value = 0.005) than the GG genotype. Moreover, the G/A transition at USF1-202 was associated with lower USF1 serum level, and mostly observed in gastric cancer patients where the average serological level of USF1 were 2.3 and twofold lower for the AA and GA genotypes, respectively, compared to GG.

USF1-202 G/A polymorphism constitutes a gastric cancer genetic risk factor. Together with USF1/USF2 serum level, they can be proposed as promising biomarkers for gastric cancer detection/prevention.

Gastric adenocarcinoma (GAC) imposes a considerable global health burden. Molecular profiling of GAC from the tumor microenvironment perspective through a multi-omics approach is eagerly awaited in order to allow a more precise application of novel therapies in the near future.

To better understand the tumor-immune interface of GAC, we identified an internal cohort of 82 patients that allowed an integrative molecular analysis including mutational profiling by whole-exome sequencing, RNA gene expression of 770 genes associated with immune response, and multiplex protein expression at spatial resolution of 34 immuno-oncology targets at different compartments (tumorous cells and immune cells). Molecular findings were validated in 595 GAC from the TCGA and ACRG external cohorts with available multiomics data. Prediction of response to immunotherapies of the discovered immunophenotypes was assessed in 1039 patients with cancer from external cohorts with available transcriptome data.

Unsupervised clustering by gene expression identified a subgroup of GAC that includes 52% of the tumors, the so-called Inflamed class, characterized by high tumor immunogenicity and cytotoxicity, particularly in the tumor center at protein level, with enrichment of PIK3CA and ARID1A mutations and increased presence of exhausted CD8+ T cells as well as co-inhibitory receptors such as PD1, CTLA4, LAG3, and TIGIT. The remaining 48% of tumors were called non-inflamed based on the observed exclusion of T cell infiltration, with an overexpression of VEGFA and higher presence of TP53 mutations, resulting in a worse clinical outcome. A 10-gene RNA signature was developed for the identification of tumors belonging to these classes, demonstrating in evaluated datasets comparable clinical utility in predicting response to current immunotherapies when tested against other published gene signatures.

Comprehensive immunophenotyping of GAC identifies an inflamed class of tumors that complements previously proposed tumor-based molecular clusters. Such findings may provide the rationale for exploring novel immunotherapeutic approaches for biomarker-enriched populations in order to improve GAC patient's survival.

Gastric cancer (GC) is the 5th most common malignancy worldwide. Adenocarcinoma accounts for 95% of all GC. While most cases of gastric adenocarcinoma (GAC) arise in older age males, a significant proportion of biological disparity exists between different ages. In this study, we aim to compare the demographics and prognostic outcomes of different ages of patients with GAC.

This retrospective study utilized the GAC cases abstracted from the Surveillance, Epidemiology, and End Results Program's 17 registries dataset from 2000 to 2020. Cases were divided into different age group brackets to comparatively explore characteristics of GAC.

A total of 103,674 cases were identified. The median age was 69 years, with a significant proportion 39.7% (n = 41,154) falling within the 66-80 age bracket cases. Female proportions were higher in the ≤ 35 years age group 47.2% (n = 960) and ≥ 81 years age group 45.7% (n = 9,695). About 45.1% (n = 916) of ≤ 35 years age group cases were Hispanic, while 60% (n = 12,715) of ≥ 81 years age group cases were non-Hispanic White. Ages between 51-65 and 66-80 years had higher proportions of liver metastasis 17% and 16% than their younger and older peers. Age ≤ 35 years cases are more likely to present at cardia 20.5%. Male gender had the worst survival across all age groups, with the worst in the ≤ 35 age group hazard ratio (H.R) 1.22(1.007 - 1.250 p < 0.001). Black had the worst survival across all ages, with the worst in the ≤ 35 years age group H.R 1.405 (1.164 - 1.696 p < 0.001). When plotted against other races in each age group, Hispanics had poor survival at young ages H.R 1.224 (1.069 - 1.401) and superior survival at older ages, with H.R 0.944 (0.902 - 0.987) in the ≥ 81 age group. Tumors located in the greater curvature and overlapping lesions demonstrated worse prognosis compared to cardia. Conversely, tumors in the pylorus and lesser curvature generally exhibited better prognosis.

In the United States GAC predominantly affects older adults, but early-onset cases exhibit aggressive histologies and poor survival, particularly more common in Hispanics. Black individuals face the worst survival outcomes across all age groups. Gender inclination towards males shrinks at the extremes of ages. At different age brackets, the demographics and prognosis changes, necessitating customized interventions.

Gastric cancer (GC) is a highly heterogeneous tumour with high morbidity. Approximately 95% of GC cases are gastric adenocarcinomas, which are further categorized into two predominant subtypes: diffuse gastric cancer (DGC) and intestinal gastric cancer (IGC). These subtypes exhibit distinct pathophysiological and molecular characteristics, reflecting their unique tumorigenic mechanisms.

In this study, we employed a comprehensive approach to identify driver genes associated with DGC and IGC by focusing on copy number variation (CNV) genes within the competing endogenous RNA (ceRNA) network. The influence of driver CNV genes on the molecular, cellular, and clinical differences between DGC and IGC was subsequently analysed. Finally, therapeutic strategies for DGC and IGC were evaluated based on the status and functional pathways of the driver CNV genes.

A total of 17 and 22 driver CNV genes were identified in DGC and IGC, respectively. These genes drive subtype differences through the ceRNA network, resulting in alterations in the tumour microenvironment (TME). Based on these differences, personalized treatment strategies for DGC or IGC could be developed. Immune checkpoint inhibitors may be an effective treatment option in IGC. Additionally, DGC patients with homozygous deletion of PPIF might benefit from adjuvant chemotherapy, whereas those with high-level amplification of MTAP could respond to targeted therapy.

Driver CNV genes were identified to reveal the underlying cause of heterogeneity in DGC and IGC. Furthermore, specific driver CNV genes were identified as potential therapeutic targets, facilitating personalized treatment.

Lipid rafts are highly heterogeneous and dynamic microdomains involved in molecule trafficking and signaling transduction. This study investigates the role of lipid rafts in gastric cancer and their key regulators. Analyzing FFPE samples from 111 gastric cancer patients, we found that high lipid raft levels predict poor prognosis. Modulating these levels in gastric cancer cell lines significantly impacted cell proliferation, migration, and invasion. Weighted Gene Co-expression Network Analysis identified AXL as a hub gene associated with lipid rafts. AXL knockdown experiments revealed its interaction with Caveolin-1, a caveolae lipid raft protein, which regulates lipid raft levels and promotes AKT and ERK signaling, enhancing cancer development and metastasis. In vivo tumorigenesis assays and survival analyses further supported these findings. This study underscores the significance of lipid rafts in gastric cancer and identifies AXL as a novel regulator, offering new insights into the molecular mechanisms of cancer progression and suggesting potential therapeutic targets.

Gastric cancer (GC) burden is currently evolving with regional differences associated with complex behavioural, environmental, and genetic risk factors. The LEGACy study is a Horizon 2020-funded multi-institutional research project conducted prospectively to provide comprehensive data on the tumour biological characteristics of gastroesophageal cancer from European and LATAM countries.

Treatment-naïve advanced gastroesophageal adenocarcinoma patients were prospectively recruited in seven European and LATAM countries. Formalin-fixed paraffin-embedded primary tumour endoscopic biopsy samples were collected and submitted for central morphological and immunohistochemical characterization and TP53 molecular assessment and Helicobacter pylori infection.

A total of 259 patients were included in the study: 137 (53%) from LATAM and 122 (47%) from Europe. Significant biological differences were detected between European and LATAM patients. Low representation of chromosomal instability (CIN) and HER2 positive cases were found in LATAM. MUC6 and PD-L1 were more frequently overexpressed in European cases, showing a significant correlation across the entire study population, with this association being especially pronounced in MMRdeficient cases. Both TP53 mutation by next-generation sequencing and p53 immunohistochemical aberrant pattern were linked with features associated with chromosomal instability. No regional differences were observed in H. pylori prevalence or abundance, indicating that the afore mentioned variations cannot be attributed to this factor.

Our findings underscore a need for region-specific approaches in gastroesophageal cancer diagnosis and treatment. MUC6 emerges as a putative immune regulator that needs further investigation. Research tailored to the unique biological profiles in different global regions is crucial to effectively address the observed disparities.