{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T18:08:38Z","timestamp":1778695718576,"version":"3.51.4"},"reference-count":55,"publisher":"Wiley","issue":"12","license":[{"start":{"date-parts":[[2025,12,17]],"date-time":"2025-12-17T00:00:00Z","timestamp":1765929600000},"content-version":"vor","delay-in-days":16,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["The Journal of Gene Medicine"],"published-print":{"date-parts":[[2025,12]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Gastric cancer (GC) is highly heterogeneous, and current prognostic models fail to fully capture tumor immune characteristics, limiting personalized treatment. This study introduces the Tumor Immune Environment Score (TIES), an immune\u2010based prognostic model designed to enhance risk stratification and predict response to immunotherapy.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Transcriptomic and clinical data from seven GC cohorts, comprising a total of 1487 patients, were analyzed. The training cohort included GSE15459, GSE62254, GSE84433, and GSE13861, while the validation cohort comprised GSE26899, GSE26901, and TCGA\u2010STAD. Immune\u2010related gene signatures were quantified using ssGSEA and subsequently analyzed via LASSO and Cox regression. Clinical applicability was quantified using decision\u2010curve analysis (DCA) and reclassification metrics (category\u2010free NRI\/IDI) for TIES versus TIES + pathological stage. Immunotherapy response was assessed using data from GSE183924, and its associations with immune characteristics, molecular alterations, and drug sensitivity were investigated. For experimental confirmation, we established a 12\u2010gene RT\u2010qPCR panel in 30 institutional GC specimens and computed a weighted qPCR surrogate (qTIES).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      A high TIES was associated with worse OS (HR\u2009=\u20092.44,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001) and DFS (HR\u2009=\u20092.25,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001). TIES was an independent prognostic factor and demonstrated superior predictive accuracy compared to TNM staging (AUC\u2009=\u20090.75\u20130.79 vs. 0.61\u20130.64,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001). Integrating clinical\u2010pathological features with TIES significantly enhanced predictive performance (AUC\u2009=\u20090.75\u20130.78 vs. 0.61\u20130.63,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.01). A low TIES was indicative of an immune\u2010inflamed subtype, characterized by a higher TMB (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.01) and a greater likelihood of response to immunotherapy (HR\u2009=\u20090.24,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.014). TIES outperformed TIDE in predicting immunotherapy outcomes, achieving a higher OS C\u2010index (0.780 vs. 0.743) and DFS C\u2010index (0.664 vs. 0.610). At 3\u2009years, TIES + stage yielded a greater net benefit than TIES alone across clinically relevant thresholds (DCA) and improved NRI\/IDI.The qPCR panel reproduced axis biology (CSR\/TGF\u2010\u03b2increased with NK\/Th2 decreased), correlated with pathological stage, stratified OS\/DFS by Kaplan\u2013Meier, and showed 3\u2010year discrimination.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>TIES represents a robust immune\u2010based prognostic tool for GC, facilitating improved risk stratification and immunotherapy response prediction. Its integration into clinical practice, particularly in combination with clinical\u2010pathological features, may enhance personalized treatment strategies and improve patient outcomes.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/jgm.70065","type":"journal-article","created":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T02:14:06Z","timestamp":1766024046000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Tumor Immune Contexture Model Predicts Prognosis and Immunotherapy Response in Gastric Cancer"],"prefix":"10.1002","volume":"27","author":[{"given":"Jiexuan","family":"Wang","sequence":"first","affiliation":[{"name":"Department of General Surgery, Tongji Hospital, School of Medicine Tongji University  Shanghai China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of General Surgery, Tongji Hospital, School of Medicine Tongji University  Shanghai China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuan","family":"Dai","sequence":"additional","affiliation":[{"name":"Department of General Surgery, Tongji Hospital, School of Medicine Tongji University  Shanghai China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiqian","family":"Hu","sequence":"additional","affiliation":[{"name":"Department of General Surgery, Tongji Hospital, School of Medicine Tongji University  Shanghai China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinxing","family":"Li","sequence":"additional","affiliation":[{"name":"Department of General Surgery, Tongji Hospital, School of Medicine Tongji University  Shanghai 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