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Based on the GC dataset in TCGA, we constructed a prognostic signature using M1 TAMs\u2010related genes and validated it using data from the GEO dataset. To evaluate the predictive power of the signature, the survival curves, ROC curves, Cox regression analysis, nomograms and calibration curves were constructed. Differences in immune infiltration, immunotherapy response, and chemotherapy sensitivity between the two risk groups were also analysed. Furthermore, by jointly using the string database and Cytoscape software, we identified the hub gene that differed between the two risk groups. In the end, the expression and function of the identified hub gene were validated using fresh tissue specimens and GC\u00a0cell lines. A six\u2010gene risk signature was developed based on M1 TAMs\u2010related genes. Furthermore, the ROC curve, nomogram, calibration plot of the nomogram and Cox regression analysis confirmed M1 TAMs co\u2010expressed genes have a strong predictive performance of the six\u2010gene risk signature. Immune infiltration analysis and the TIDE algorithm indicated that low\u2010risk GC patients may be more suitable for immunotherapy. Finally, fibronectin 1 (FN1), the hub gene with the highest degree of interaction between high\u2010 and low\u2010risk groups, indicated a significant correlation with survival differences in GC. Functional analysis demonstrated that FN1 promotes GC\u00a0cell proliferation, invasion, migration and EMT. The risk signature of six M1 TAMs co\u2010expressed genes can be used to evaluate the prognosis and treatment efficacy of patients with GC, providing a basis for selecting new therapies for patients. The FN1 gene is the hub gene with predictive value in this signature, and it is upregulated in GC and functions as an oncogene.<\/jats:p>","DOI":"10.1049\/syb2.70041","type":"journal-article","created":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T17:24:28Z","timestamp":1760117068000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Identification of an M1 Macrophages\u2010Related Signature for Predicting the Survival and Therapeutic Response in Gastric Cancer"],"prefix":"10.1049","volume":"19","author":[{"given":"Yue","family":"Wang","sequence":"first","affiliation":[{"name":"Department of General Surgery The First Affiliated Hospital of Anhui Medical University  Hefei China"},{"name":"Department of General Surgery Anhui No.2 Provincial People\u2019s Hospital Clinical College of Anhui Medical University  Hefei 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Hospital of Anhui Medical University  Hefei China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weisong","family":"Li","sequence":"additional","affiliation":[{"name":"Department of General Surgery The First Affiliated Hospital of Anhui Medical University  Hefei China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-5616-0407","authenticated-orcid":false,"given":"Wenyong","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of General Surgery Anhui No.2 Provincial People\u2019s Hospital Clinical College of Anhui Medical University  Hefei 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