Gastric Cancer Research Articles

Textbook oncological outcome of locally advanced gastric cancer patients with preoperative sarcopenia: a multicenter clinical study.

The impact of postoperative sarcopenia on the Textbook Oncological Outcome (TOO) in locally advanced gastric cancer (LAGC) remains uncertain. This study investigates the relationship between sarcopenia and TOO, explores its long-term prognostic value, and develops a prognostic model incorporating sarcopenia and TOO for survival prediction. We performed a retrospective analysis of clinical and pathological data from patients with LAGC who underwent radical surgery at two Chinese tertiary referral hospitals. Sarcopenia was defined as an SMI < 36.4 cm2/m2 in males and < 28.4 cm2/m2 in females. TOO was defined as the addition of perioperative chemotherapy to the textbook outcomes (TO). A nomogram was developed to predict postoperative overall survival (OS) and recurrence-free survival (RFS) in LAGC patients. The study included 972 patients with LAGC. The overall TOO achievement rate was 67.1%. The TOO achievement rate was significantly higher in patients non-sarcopenia compared to those with sarcopenia (68.9% vs. 61.1%, P = 0.031). Logistic regression revealed that age ≥ 65, high ASA score, and sarcopenia were independent risk factors for TOO failure. Cox regression analysis identified TOO, sarcopenia, tumor size, differentiation, vascular invasion, pT stage, and pN stage as independent predictors of OS and RFS. Nomogram models based on sarcopenia and TOO accurately predicted the 3-year and 5-year OS and RFS. Preoperative sarcopenia was an independent predictor of TOO implementation. A prognostic prediction model that integrates preoperative sarcopenia and TOO, which outperforms the current staging system, can aid clinicians in effectively assessing the prognosis of patients with LAGC.

High neutrophil-to-lymphocyte ratio at Helicobacter pylori eradication increases the risk of eradication failure and post-eradication gastric cancer

Introduction Vonoprazan has been known to have a high Helicobacter pylori (H. pylori) eradication rate since its launch in 2015. Yet, the risk factors for eradication failure and development of post-eradication gastric cancer (GC) using VPZ regimen remain unclear. Methods This single-center cohort study included 934 consecutive patients who underwent H. pylori eradication using VPZ between February 2015 and June 2017 and were followed up for five years by the end of 2022. We examined several indicators of systemic immune, inflammatory, and nutritional status at the time of eradication to identify those indicators could predict eradication success, risk of post-eradication GC development, and long-term prognosis. Results The successful eradication rates were 92.6% (intention-to-treat) and 98.7% (per-protocol). Multivariate analysis showed that only a high peripheral blood neutrophil-to-lymphocyte ratio (NLR) was significantly associated with eradication failure. The 5-year GC incidence rate was 1.67%, and all GCs were stage IA. The mean (standard deviation [SD]) time from eradication to diagnosis was 40.5 (6.1) months. Multivariate analysis showed that high NLR and history of GC and hypertension were significantly associated with GC development. Patients with elevated NLR post-eradication had a higher risk of newly developed GC. Twelve patients died during the study period, and a high NLR was associated with a significantly higher mortality rate. Conclusions NLR has the potential to be a biomarker that predicts the failure of eradication and development of post-eradication GC. High NLR was also associated with poor long-term prognosis after H. pylori eradication.

Diagnosis and prognosis prediction of gastric cancer by high-performance serum lipidome fingerprints.

Early detection is warranted to improve prognosis of gastric cancer (GC) but remains challenging. Liquid biopsy combined with machine learning will provide new insights into diagnostic strategies of GC. Lipid metabolism reprogramming plays a crucial role in the initiation and development of tumors. Here, we integrated the lipidomics data of three cohorts (n = 944) to develop the lipid metabolic landscape of GC. We further constructed the serum lipid metabolic signature (SLMS) by machine learning, which showed great performance in distinguishing GC patients from healthy donors. Notably, the SLMS also held high efficacy in the diagnosis of early-stage GC. Besides, by performing unsupervised consensus clustering analysis on the lipid metabolic matrix of patients with GC, we generated the gastric cancer prognostic subtypes (GCPSs) with significantly different overall survival. Furthermore, the lipid metabolic disturbance in GC tissues was demonstrated by multi-omics analysis, which showed partially consistent with that in GC serums. Collectively, this study revealed an innovative strategy of liquid biopsy for the diagnosis of GC on the basis of the serum lipid metabolic fingerprints.

DNA hypomethylation of INHBA promotes tumor progression and predicts prognosis and immune status of gastric cancer.

Gastric cancer (GC) is characterized by its high malignancy and poor prognosis. However, the role of Inhibin subunit beta A (INHBA) in GC remains insufficiently understood. This study aims to comprehensively evaluate the clinical significance, biological roles, and possible mechanisms of INHBA in GC. Expression levels and survival analyses of the Inhibin beta family were assessed using online databases. A prediction model based on INHBA was developed. In addition, the associations between INHBA expression and immune status, and chemotherapy sensitivity were explored. In vitro experiments were conducted to investigate the biological impact of INHBA on GC cells. Pyrosequencing and the DNA methylation inhibitor, 5-AZA-2'-deoxycytidine (5-AZA-dC) were employed to elucidate the mechanisms underlying INHBA function. Our findings revealed that INHBA exhibited high expression in GC patients, and elevated INHBA expression correlated with worse outcomes. We developed a novel nomogram incorporating INHBA, age, and tumor node metastasis (TNM) stage to predict the prognosis of GC patients. Additionally, INHBA was found to be associated with suppressed infiltration of immune cells and chemosensitivity. Functionally, INHBA promoted the proliferation and invasiveness of GC cells. Mechanistically, pyrosequencing revealed DNA Hypomethylation of INHBA in the first exon region, and the effects of INHBA silencing were rescued by 5-AZA-dC treatment. Our study suggests that DNA hypomethylation of INHBA contributes to the progression of GC. Furthermore, INHBA holds promise as a valuable biomarker for prognostic evaluation and immune status prediction in GC patients.

Neutrophil-centric analysis of gastric cancer: prognostic modeling and molecular insights.

Gastric cancer remains a significant global health concern with poor prognosis. This study investigates the role of neutrophils in gastric cancer progression and their potential as prognostic indicators. Using multi-omics approaches, including Weighted Gene Co-expression Network Analysis (WGCNA), machine learning, and single-cell analysis, we identified neutrophil-associated gene signatures and developed a robust prognostic model. Our findings reveal distinct gastric cancer subtypes based on neutrophil-associated genes, with one subtype showing increased neutrophil infiltration and poorer prognosis. Single-cell analysis uncovered neutrophil-associated alterations in cell composition, gene expression profiles, and intercellular communication within the tumor microenvironment. Additionally, we explored the relationship between neutrophil-associated genes, microbiota composition, and alternative splicing events in gastric cancer. Furthermore, we identified QKI as a key regulator of alternative splicing and demonstrated its role in promoting malignant phenotypes and enhancing TGF-beta signaling and epithelial-mesenchymal transition in gastric cancer cells by wet experiment. Lastly, the role of QKI in the association with drug resistance and the identification of specific agents for treating QKI-associated drug resistance were also explored. This comprehensive study provides novel insights into the complex interplay between neutrophils, the tumor microenvironment, microbiota, alternative splicing and gastric cancer progression, offering potential new targets for therapeutic intervention.

MRI characteristics of ovarian metastasis: differentiation from stomach and colorectal cancer.

To evaluate the efficacy of MRI findings for differentiating between ovarian metastasis from stomach cancer (OMSC) and colorectal cancer (OMCC). Twenty-six patients with histopathologically proven ovarian metastasis (n = 8 with 12 OMSCs and n = 18 with 25 OMCCs) were enrolled in the study. All patients had undergone pelvic MRI before surgery. We retrospectively reviewed MRI findings and compared them between the two pathologies. The black scrunchie sign was defined as a thick (> 5mm) and lobulated hypointense rim (> 180°) with central hyperintense areas on T2-weighted images. Predominantly solid lesions (100% vs. 20%, p < 0.01), black scrunchie sign (33% vs. 0%, p < 0.01), and flow void (67% vs. 20%, p < 0.01) were frequently observed in OMSCs than in OMCCs. The signal intensity ratio of solid components on T2-weighted images (3.30 ± 0.70 vs. 2.52 ± 0.77, p < 0.01) and gadolinium-enhanced T1-weighted images (2.21 ± 0.57 vs. 1.43 ± 0.32, p < 0.01) were significantly higher in OMSCs than in OMCCs. Furthermore, hyperintense areas within cystic components on T1-weighted images (71% vs. 18%, p < 0.01) and stained-glass appearance (44% vs. 0%, p < 0.01) were frequently observed in OMCCs than in OMSCs. The black scrunchie sign was only observed in OMSCs. OMSCs always exhibited predominantly solid lesions and had higher signal intensity of solid components on T2- and gadolinium-enhanced T1-weighted images. OMCCs usually presented as cystic lesions, usually accompanied by hyperintense areas within the cystic components on T1-weighted images.

Prognostic impact of adipose tissue loss at 1month after surgery in patients with gastric cancer.

The postoperative impact of short-term changes in skeletal muscle loss (SML) and adipose tissue loss (ATL) on treatment outcomes is unclear in patients with gastric cancer (GC). We investigate the role of SML and ATL at 1month after surgery in determining postoperative survival and recurrence rates in patients with GC. We analyzed 540 patients with GC and assessed their skeletal muscle mass, visceral fat mass, and subcutaneous fat mass using computed tomography scans preoperatively and 1month postoperatively. Patients were categorized into high and low groups based on their levels of SML, visceral ATL (v-ATL), and subcutaneous ATL (s-ATL). Additionally, they were classified into three groups (high ATL, intermediate ATL, and low ATL) based on their v-ATL and s-ATL measurements. Patients with higher v-ATL and s-ATL had lower overall survival (OS) and recurrence-free survival (RFS) rates. High ATL was an independent prognostic factor for decreased OS (hazard ratio [HR] 2.27; 95% confidence interval [CI] 1.16-4.42; and P=0.02) and RFS (HR 2.51; 95% CI 1.34-4.71; and P=0.004) rates. A reduction in adipose tissue volume shortly after surgery (1month) could potentially indicate an increased risk of recurrence and mortality in patients with GC.

The LINC01094/miR-545-3p/SLC7A11 Signaling Axis Promotes the Development of Gastric Cancer by Regulating Cell Growth and Ferroptosis.

This study aimed to investigate the role and mechanism of action of LINC01094 in the development of gastric cancer (GC). The expression levels of LINC01094 in GC patients and healthy individuals were analyzed online using the Cancer Genome Atlas database. Quantitative real-time polymerase chain reaction (qRT-PCR) and Western blot analyses were performed to determine the expression of LINC01094/miR-545-3p/SLC7A11 in GC tissues and cells. Functional experiments (MTT assay, colony formation assay, and flow cytometry) were conducted to assess the effect of LINC01094 and miR-545-3p on cell proliferation, viability, apoptosis, cell cycle, and reactive oxygen species. Correlations between LINC01094 and miR-545-3p, as well as SLC7A11, were analyzed and validated using the dual-luciferase reporter assay and RNA immunoprecipitation. The levels of Fe2+, malondialdehyde, and glutathione in the cells were measured biochemically, and the protein expression levels of Bcl-2, cleaved caspase3, Cyclin D1, and p21 were detected by Western blotting. LINC01094 was significantly upregulated in the GC tissues and cells with a targeting relationship with miR-545-3p; the expression levels of LINC01094 and miR-545-3p were negatively correlated. Knockdown of LINC01094 notably inhibited the proliferation and viability of GC cells and promoted cell ferroptosis, which, however, was abrogated by the silencing of miR-545-3p. These findings indicate that miR-545-3p could target and positively correlate with SLC7A11 expression. Additionally, LINC01094 could promote GC cell progression and affect cellular ferroptosis by regulating the miR-545-3p/SLC7A11 signaling axis.

ARID1A is a Coactivator of STAT5 that Contributes to CD8+ T Cell Dysfunction and Anti-PD-1 Resistance in Gastric Cancer.

ARID1A deletion mutation contributes to improved treatment of several malignancies with immune checkpoint inhibitors (ICIs). However, its role in modulating of tumor immune microenvironment (TIME) of gastric cancer (GC) remains unclear. Here, we report an increase of CD8+ T cells infiltration in GC patients with ARID1A-mutation (MUT), which enhances sensitivity to ICIs. Kaplan-Meier survival analysis showed that ARID1A-mutation patients with gastrointestinal malignancies benefit from immunotherapy. Transcriptome analysis implicated that ARID1A regulates STAT5 downstream targets to inhibit T-cell mediated toxicity. Integrated dual luciferase assay and ChIP-qPCR analyses indicated that ARID1A coordinated with STAT5 to facilitate the transcription of the immunosuppressive factors TGF-β1 and NOX4. ARID1A recruited canonical BAF complex (cBAF) subunits, including SMARCB1 and SMARCD1, to sustain DNA accessibility. Downregulation of ARID1A reduced chromatin remodeling into configurations which make GC more sensitive to ICIs. In addition, targeting STAT5 effectively improved anti-PD-1 efficiency in ARID1A-wild type (WT) GC patients. Taken together, ARID1A is a coactivator of STAT5, function as a chromatin organizer in GC ICIs resistance, and targeting STAT5 is an effective strategy to improve the efficiency of ICIs in GC.

Selecting Targets for Molecular Imaging of Gastric Cancer: An Immunohistochemical Evaluation.

Tumor-targeted positron emission tomography (PET) and fluorescence-guided surgery (FGS) could address current challenges in pre- and intraoperative imaging of gastric cancer. Adequate selection of molecular imaging targets remains crucial for successful tumor visualization. This study evaluated the potential of integrin αvβ6, carcinoembryonic antigen-related cell adhesion molecule 5 (CEACAM5), epidermal growth factor receptor (EGFR), epithelial cell adhesion molecule (EpCAM) and human epidermal growth factor receptor-2 (HER2) for molecular imaging of primary gastric cancer, as well as lymph node and distant metastases. Expression of αvβ6, CEACAM5, EGFR, EpCAM and HER2 was determined using immunohistochemistry in human tissue specimens of primary gastric adenocarcinoma, healthy surrounding stomach, esophageal and duodenal tissue, tumor-positive and tumor-negative lymph nodes, and distant metastases, followed by quantification using the total immunostaining score (TIS). Positive biomarker expression in primary gastric tumors was observed in 86% for αvβ6, 72% for CEACAM5, 77% for EGFR, 93% for EpCAM and 71% for HER2. Tumor expression of CEACAM5, EGFR and EpCAM was higher compared to healthy stomach tissue expression, while this was not the case for αvβ6 and HER2. Tumor-positive lymph nodes could be distinguished from tumor-negative lymph nodes, with accuracy ranging from 82 to 93% between biomarkers. CEACAM5, EGFR and EpCAM were abundantly expressed on distant metastases, with expression in 88-95% of tissue specimens. Our findings show that CEACAM5, EGFR and EpCAM are promising targets for molecular imaging of primary gastric cancer, as well as visualization of both lymph node and distant metastases. Further clinical evaluation of PET and FGS tracers targeting these antigens is warranted.

A screen-and-treat strategy for eradication of Helicobacter pylori among patients with family history of gastric cancer in a diverse U.S. population.

Screening and eradication of Helicobacter pylori (H. pylori) reduce the risk of gastric cancer in patients with family history. We assessed patient perspectives on H. pylori screening and treatment within a diverse regional U.S. Between July and August 2022, we conducted a cross-sectional study among patients with ≥1 first-degree relative with gastric cancer. Eligible patients were between 18-75 years of age without history of H. pylori infection or gastric cancer. A survey assessed interest in testing and willingness to complete treatment for H. pylori. Interested patients were offered H. pylori testing and treatment. We examined interest and effectiveness of treatment by race and ethnicity. We identified 15,255 eligible patients and 1,500 patients were randomly selected for the survey; 280 (19%) patients, including 2 relatives not initially invited but asked to participate, responded following outreach. Respondents were 65% male and averaged 57 years (SD=13) with 36% Hispanic, 36% non-Hispanic White, 15% Asian/Pacific Islander, 9% non-Hispanic Black. Overall, 223 (80%) were interested in H. pylori screening; of these, 89% would take antibiotics as prescribed. Willingness to screen was consistent across racial and ethnic groups. Among 223 respondents interested in screening, 128 (57%) completed testing with 15 screen-detected cases; all 15 completed treatment and 11 had confirmed eradication. Patients with family history of gastric cancer had a high level of interest in H. pylori screening and successful eradication when detected. A screen-and-treat strategy for H. pylori may be considered for patients with family history of gastric cancer.

A predictive and prognostic model for metastasis risk and prognostic factors in gastrointestinal signet ring cell carcinoma.

This study aimed to predict metastasis risk and identify prognostic factors of gastrointestinal signet ring cell carcinoma (SRCC) using data from the SEER database, the largest cancer dataset in North America. Data were obtained from the SEER database, covering 17 cancer registries from 2004 to 2020. Demographic and clinical data included sex, age, race, tumor location, size, pathological grade, stage, overall survival time, and treatment modalities. Statistical analyses were conducted using SPSS and R software. Propensity Score Matching (PSM) ensured comparable baseline characteristics between gastric cancer (GC) and colorectal cancer (CRC) groups. LASSO regression analysis identified predictors of metastasis, leading to the construction of predictive models using the lrm function in R. Nomograms were visualized with the "rms" package and assessed via ROC curves, calibration curves, and decision curve analysis (DCA). Cox regression analyses identified prognostic indicators for overall survival (OS), and Kaplan-Meier curves compared OS between high-risk and low-risk groups. From 2004 to 2020, 7680 SRCC patients were identified, including 4980 GC and 2700 CRC patients. CRC patients were older and had larger tumors, higher staging, and worse differentiation. Nomograms demonstrated good discriminative ability, with AUCs of 0.704 and 0.694 for GC, and 0.694 and 0.701 for CRC in training and validation cohorts, respectively. The DCA curve indicates that this predictive model has a high gain in predicting metastasis and OS. The nomograms effectively predicted metastasis risk and OS in metastatic SRCC patients, offering clinical utility in stratifying patients and guiding treatment decisions, thereby enhancing personalized treatment approaches.

Analysis of immune status and prognostic model incorporating lactic acid metabolism-associated genes.

Cancer development is intricately linked with metabolic dysregulation, including lactic acid metabolism, which plays a pivotal role in tumor progression and immune evasion. However, its specific implications in gastric adenocarcinoma (STAD) remain unclear. This study introduces a novel methodology to evaluate lactic acid metabolism comprehensively in STAD, aiming to elucidate its prognostic significance and impact on immunotherapy efficacy. Targeted therapies directed at key lactic acid metabolism genes (LMGs) identified within the tumor microenvironment (TME) hold promise for personalized treatment strategies. Lactic acid metabolism patterns were assessed in 415 STAD patients using a panel of 21 LMGs. Cox regression and Lasso regression analyses were employed to develop a predictive risk model based on differentially expressed genes (DEGs). Validation of the model was conducted using independent cohorts from the GEO and TCGA databases, as well as additional datasets focused on immunotherapy responses. Further investigations into TME dynamics of lactic acid metabolism included functional assays targeting SLC16A3, a pivotal gene identified through our analyses. Patients were stratified into distinct risk groups based on their lactic acid metabolism profiles. Low-risk patients exhibited attenuated lactic acid metabolism, correlating with favorable clinical outcomes characterized by prolonged survival and enhanced responsiveness to immunotherapy. Notably, tumor cells within the TME demonstrated heightened levels of active lactic acid metabolism, particularly impacting tumor-infiltrating lymphocytes such as CD8 + T cells and regulatory T cells. Mechanistically, SLC16A3 emerged as a critical regulator promoting STAD cell proliferation, invasion, and migration while modulating the metabolic landscape. This study underscores the prognostic value of a lactic acid metabolism-based model in STAD, providing insights into its potential as a predictive biomarker for patient stratification and therapeutic targeting. The findings highlight SLC16A3 as a promising candidate for therapeutic intervention aimed at modulating lactic acid metabolism in the TME, thereby advancing personalized treatment strategies in gastric cancer management.

Antibiotic-Augmented Chemodynamic Therapy for Treatment of Helicobacter pylori Infection in the Dynamic Stomach Environment.

Helicobacter pylori (H. pylori) is one of the main causes of peptic ulcer disease and gastric cancer. The overuse of antibiotics leads to bacterial drug resistance and disruption to the gut microbiome. Herein, a nanoparticle (TA-FeHMSN@Amox) was developed, comprising amoxicillin (Amox)-loaded iron-engineered hollow mesoporous silica as the core and a metal-polyphenol shell formed by tannic acid (TA) and Fe3+. In acidic stomach conditions, TA-FeHMSN@Amox generates bactericidal ·OH through Fenton/Fenton-like reactions of the degraded product Fe2+ and hydrogen peroxide (H2O2) at the infection site, achieving chemodynamic therapy (CDT). Moreover, released amoxicillin enhances therapeutic efficacy by impeding the self-repair of the bacterial cell wall damaged by CDT, overcoming the limitations of ineffective CDT under conditions lacking sufficient acidity and H2O2. The acidity-responsive CDT combined with reduced antibiotic usage ensures superior in vivo therapeutic efficacy and biocompatibility with intestinal flora, providing a highly potent strategy for treating H. pylori infections in the dynamic stomach environment.

Commentary: Construction and validation of prognostic signatures related to mitochondria and macrophage polarization in gastric cancer

Commentary: Construction and validation of prognostic signatures related to mitochondria and macrophage polarization in gastric cancer

Interleukin-6 as a Risk and Prognostic Biomarker in Gastric Cancer: A Systematic Review and Meta-Analysis

Interleukin-6 as a Risk and Prognostic Biomarker in Gastric Cancer: A Systematic Review and Meta-Analysis

A genome-wide association study in Swedish colorectal cancer patients with gastric- and prostate cancer in relatives.

A complex inheritance has been suggested in families with colorectal-, gastric- and prostate cancer. Therefore, we conducted a genome-wide association study (GWAS) in colorectal cancer patients, who's relatives had prostate-, and/or gastric cancer. The GWAS analysis consisted of 685 cases of colorectal cancer and 4780 healthy controls from Sweden. A sliding window haplotype analysis was conducted using a logistic regression model.Thereafter, we performed sequencing to find candidate variants, finally to be tested in a nested case-control study. Candidate loci/genes on ten chromosomal regions were suggested with odds ratios between1.71-3.62 and p-values < 5 × 10-8 in the analysis. The regions suggested were 1q32.2, 3q29, 4q35.1, 4p15.31, 4q26, 8p23.1, 13q33.3, 13q13.3, 16q23.3 and 22q11.21. All regions, except one on 1q32.2, had protein coding genes, many already shown to be involved in cancer, such as ZDHHC19, SYNPO2, PCYT1A, MYO16, TXNRD2, COMT, and CDH13. Sequencing of DNA from 122 colorectal cancer patients with gastric- and/or prostate cancer in their families was performed to search for candidate variants in the haplotype regions. The identified candidate variants were tested in a nested case-control study of similar colorectal cancer cases and controls. There was some support for an increased risk of colorectal-, gastric-, and/or prostate cancer in all the six loci tested. This study demonstrated a proof of principle strategy to identify risk variants found by GWAS, and identified ten candidate loci that could be associated with colorectal, gastric- and prostate cancer.

Contribution of matrix metalloproteinases-1 genotypes to gastric cancer susceptibility in Taiwan

Contribution of matrix metalloproteinases-1 genotypes to gastric cancer susceptibility in Taiwan

ASO Author Reflections: Stage IB Gastric Cancer: More Attention Needed.

ASO Author Reflections: Stage IB Gastric Cancer: More Attention Needed.

OGC SO46 - Gastric Cancer: A Comprehensive Literature Review

Abstract Background Gastric cancer stands as a significant global health concern with high mortality rates urging urgent attention. This article comprehensively explores the epidemiology, anatomy, risk factors, pathophysiology, clinical presentation, diagnosis, staging, treatment modalities, prevention strategies, and survival rates associated with gastric cancer. Notably, Helicobacter pylori infection, dietary choices, and intricate stomach anatomy play pivotal roles in disease development. Early detection, utilizing staging, grading, and genetic testing for personalized treatment approaches is emphasized. Treatment modalities encompass surgery, chemotherapy, radiation therapy, targeted therapy, and immunotherapy. Prevention strategies involve lifestyle changes, and genetic counseling. Survival rates vary by stage, highlighting the need for individualized care. Method This comprehensive review was conducted by systematically analyzing a wide range of published literature on gastric cancer. The search strategy involved utilizing electronic databases such as PubMed, Google Scholar, and Scopus, with specific keywords including "gastric cancer," "stomach cancer," "epidemiology," "anatomy," "risk factors," "pathophysiology," "diagnosis," "treatment modalities," "prevention," and "survival rates." Results Risk Factors: Factors such as Helicobacter pylori infection, dietary choices, tobacco use, and genetic predispositions contribute to gastric cancer risk. Pathophysiology: Genetic alterations, chronic inflammation, and dysregulated signaling pathways drive the development of gastric cancer. Clinical Presentation: Symptoms vary &amp; diagnosis involves a combination of methods, including endoscopy and molecular profiling. Treatment Modalities: Treatment options include surgery, chemotherapy, radiation therapy, targeted therapy, and immunotherapy. Prevention Strategies: Prevention efforts focus on minimizing risk factors through lifestyle changes, screening, and genetic counseling. Survival Rates: Survival rates vary significantly by stage, ranging from 90-95% for stage 0 to less than 5% for stage IV Conclusion The intricate anatomy of the stomach plays a crucial role in disease localization, staging, and treatment planning, with genetic mutations and inflammation central to the pathophysiology. Early detection is underscored through clinical presentation and diagnosis processes, utilizing staging, grading, and genetic testing for personalized treatment approaches, including surgery, chemotherapy, radiation therapy, targeted therapy, and immunotherapy. Prevention strategies emphasize lifestyle changes and screening, while survival rates vary by stage, underscoring the need for individualized care. In conclusion, addressing gastric cancer requires a collaborative effort to reduce its impact and enhance outcomes on a global scale.