{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,12]],"date-time":"2026-04-12T06:45:06Z","timestamp":1775976306266,"version":"3.50.1"},"reference-count":40,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2025,9,15]],"date-time":"2025-09-15T00:00:00Z","timestamp":1757894400000},"content-version":"vor","delay-in-days":14,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T00:00:00Z","timestamp":1756684800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J Biochem &amp;amp; Molecular Tox"],"published-print":{"date-parts":[[2025,9]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>Vesicle\u2010mediated transport plays a role in intercellular communication in tumor microenvironment, affecting tumor development and prognosis. This study attempted to establish risk markers for gastric cancer (GC) based on vesicle\u2010mediated transport\u2010related genes, providing a new perspective for evaluating immunotherapeutic response and prognosis in GC patients. We used TCGA\u2010STAD data set for training set and performed differential analysis and Cox regression analysis to establish a vesicle\u2010mediated transport\u2010related GC prognostic risk model to predict survival rate of GC patients. GC prognostic model was verified through TCGA\u2010STAD and GSE84426 datasets. ROC curve presented that GC prognostic model had reliable prediction results, and the Kaplan\u2010Meier survival curve presented that high\u2010risk (HR) GC patients had unfavorable prognoses. The Cox regression analysis results reported that GC prognostic model had independent predictive ability for prognosis. Clinical feature analysis revealed that the majority of HR group patients were male and under 60 years old, with a high degree of malignancy. Using GC prognostic risk scores and clinical factors, we constructed a nomogram. Calibration, ROC, and DCA curves presented that nomogram had excellent predictive ability for patient prognosis. Immune infiltration analysis showed that HR GC patients had a lower overall proportion of immune cell infiltration and poorer immune function. Prediction of immunotherapeutic response showed that low\u2010risk (LR) GC patients may be prone to benefit from immunotherapy. In conclusion, GC prognostic risk model had potential to forecast prognosis and immunotherapeutic efficacy of GC patients.<\/jats:p>","DOI":"10.1002\/jbt.70508","type":"journal-article","created":{"date-parts":[[2025,9,15]],"date-time":"2025-09-15T15:56:42Z","timestamp":1757951802000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["The Prognostic Significance of Vesicle\u2010Mediated Transport\u2010Related Genes as Risk Markers in Gastric Cancer"],"prefix":"10.1002","volume":"39","author":[{"given":"Yunjie","family":"Wan","sequence":"first","affiliation":[{"name":"Department of Abdominal Oncology Surgery Anyang Tumor Hospital Anyang China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ganshu","family":"Xia","sequence":"additional","affiliation":[{"name":"Department of Abdominal Oncology Surgery Anyang Tumor Hospital Anyang 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