{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,29]],"date-time":"2026-08-29T13:15:56Z","timestamp":1788009356488,"version":"build-2784847793"},"reference-count":31,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2026,8,29]],"date-time":"2026-08-29T00:00:00Z","timestamp":1787961600000},"content-version":"vor","delay-in-days":240,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Genetics Research"],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Epstein\u2013Barr virus\u2013associated gastric cancer (EBVaGC) is a distinct molecular subtype of gastric cancer, but reliable biomarkers linking EBV\u2010related biology, prognosis, and microenvironmental remodeling remain limited.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Differentially expressed genes associated with EBVaGC were identified from TCGA and GEO datasets. Weighted gene co\u2010expression network analysis and machine learning were used to screen core genes. Functional enrichment, diagnostic and prognostic modeling, immune infiltration analysis, single\u2010cell transcriptomic analysis of a public scRNA\u2010seq dataset, cell\u2013cell communication analysis, drug sensitivity prediction, external cohort validation, and RT\u2010qPCR validation in gastric cancer cell lines were subsequently performed.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Five core genes (ASPA, CHODL, GNG7, P2RY14, and PI16) were identified. The combined classifier showed high apparent diagnostic performance in the discovery datasets (AUC\u2009=\u20091.000 in the EBV cohort and 0.981 in TCGA\u2013STAD) and retained value in GSE27342 (AUC\u2009=\u20090.771). RT\u2010qPCR confirmed differential expression of these genes between a gastric epithelial cell line and a gastric cancer cell line, providing general tumor\u2010versus\u2010normal experimental support rather than EBV\u2010specific validation. A five\u2010gene risk signature stratified overall survival, with 1\u2010, 2\u2010, and 3\u2010year AUCs of 0.634, 0.645, and 0.622, which improved to 0.716, 0.768, and 0.693 after integration with age and stage. Single\u2010cell analysis localized the strongest signature signal to fibroblasts and B cells and revealed enhanced MIF\u2010, PTN\u2010, and TNFSF13B\u2010related communication in tumors. High\u2010risk tumors showed higher predicted IC50 values for paclitaxel and 5\u2010fluorouracil.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>We identified a five\u2010gene signature with strong diagnostic value and biologically meaningful prognostic relevance in EBVaGC, highlighting fibroblast\u2010 and B\u2010cell\u2010associated microenvironmental programs in aggressive disease.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1155\/genr\/5991107","type":"journal-article","created":{"date-parts":[[2026,8,29]],"date-time":"2026-08-29T12:20:31Z","timestamp":1788006031000},"source":"Crossref","is-referenced-by-count":0,"title":["Integrated Bulk and Single\u2010Cell Transcriptomic Analyses Identify a Five\u2010Gene Signature Associated With Prognosis and the Tumor Microenvironment in Epstein\u2013Barr Virus\u2013Associated Gastric 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