{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,10]],"date-time":"2026-09-10T17:44:02Z","timestamp":1789062242729,"version":"build-2803163510"},"reference-count":61,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2025,3,21]],"date-time":"2025-03-21T00:00:00Z","timestamp":1742515200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Immunol."],"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>Recent studies have suggested a potential association between gastric cancer (GC) and myocardial infarction (MI), with shared pathogenic factors. This study aimed to identify these common factors and potential pharmacologic targets.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Data from the IEU Open GWAS project were used. Two-sample Mendelian randomization (MR) analysis was used to explore the causal link between MI and GC. Transcriptome analysis identified common differentially expressed genes, followed by enrichment analysis. Drug target MR analysis and eQTLs validated these associations with GC, and the Steiger direction test confirmed their direction. The random forest and Lasso algorithms were used to identify genes with diagnostic value, leading to nomogram construction. The performance of the model was evaluated via ROC, calibration, and decision curves. Correlations between diagnostic genes and immune cell infiltration were analyzed.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>MI was linked to increased GC risk (<jats:italic>OR<\/jats:italic>=1.112, <jats:italic>P<\/jats:italic>=0.04). Seventy-four genes, which are related mainly to ubiquitin-dependent proteasome pathways, were commonly differentially expressed between MI and GC. Nine genes were consistently associated with GC, and eight had diagnostic value. The nomogram built on these eight genes had strong predictive performance (<jats:italic>AUC<\/jats:italic>=0.950, validation set <jats:italic>AUC<\/jats:italic>=0.957). Immune cell infiltration analysis revealed significant correlations between several genes and immune cells, such as T cells, macrophages, neutrophils, B cells, and dendritic cells.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>MI is associated with an increased risk of developing GC, and both share common pathogenic factors. The nomogram constructed based on 8 genes with diagnostic value had good predictive performance.<\/jats:p><\/jats:sec>","DOI":"10.3389\/fimmu.2025.1533959","type":"journal-article","created":{"date-parts":[[2025,3,21]],"date-time":"2025-03-21T08:09:52Z","timestamp":1742544592000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Analysis of shared pathogenic mechanisms and drug targets in myocardial infarction and gastric cancer based on transcriptomics and machine learning"],"prefix":"10.3389","volume":"16","author":[{"given":"Junyang","family":"Ma","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shufu","family":"Hou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinxin","family":"Gu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peng","family":"Guo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiankang","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2025,3,21]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1186\/s13045-023-01451-3","article-title":"Gastric cancer treatment: recent progress and future perspectives","volume":"16","author":"Guan","year":"2023","journal-title":"J Hematol Oncol"},{"key":"B2","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1186\/s12942-023-00356-1","article-title":"Epidemiology, risk areas and macro determinants of gastric cancer: a study based on geospatial analysis","volume":"22","author":"Huang","year":"2023","journal-title":"Int J Health Geogr"},{"key":"B3","doi-asserted-by":"publisher","DOI":"10.1038\/s41571-023-00747-0","article-title":"Global burden of gastric cancer: epidemiological trends, risk factors, screening and prevention","volume":"20","author":"Thrift","year":"2023","journal-title":"Nat Rev Clin Oncol"},{"key":"B4","doi-asserted-by":"publisher","DOI":"10.3390\/ijms21114012","article-title":"Gastric cancer: epidemiology, risk factors, classification, genomic characteristics and treatment strategies","volume":"21","author":"Machlowska","year":"2020","journal-title":"Int J Mol Sci"},{"key":"B5","doi-asserted-by":"publisher","DOI":"10.1016\/j.annonc.2022.07.004","article-title":"Gastric cancer: ESMO Clinical Practice Guideline for diagnosis, treatment and follow-up","volume":"33","author":"Lordick","year":"2022","journal-title":"Ann Oncol"},{"key":"B6","doi-asserted-by":"publisher","DOI":"10.1016\/j.cgh.2019.07.045","article-title":"Burden of gastric cancer","volume":"18","author":"Thrift","year":"2020","journal-title":"Clin Gastroenterol Hepatol"},{"key":"B7","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1038\/s41392-022-00925-z","article-title":"Signaling pathways and targeted therapy for myocardial infarction","volume":"7","author":"Zhang","year":"2022","journal-title":"Signal Transduct Target Ther"},{"key":"B8","doi-asserted-by":"publisher","first-page":"2982","DOI":"10.1016\/j.jacc.2020.11.010","article-title":"Global burden of cardiovascular diseases and risk factors, 1990-2019: update from the GBD 2019 study","volume":"76","author":"Roth","year":"2020","journal-title":"J Am Coll Cardiol"},{"key":"B9","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacc.2020.11.021","article-title":"The global burden of cardiovascular diseases and risks: A compass for global action","volume":"76","author":"Roth","year":"2020","journal-title":"J Am Coll Cardiol"},{"key":"B10","doi-asserted-by":"publisher","DOI":"10.1136\/heartjnl-2019-316067","article-title":"Incidence, risk factors and outcome of young patients with myocardial infarction","volume":"106","author":"Jortveit","year":"2020","journal-title":"Heart"},{"key":"B11","article-title":"Prevention of cardiovascular diseases: Role of exercise, dietary interventions, obesity and smoking cessation","volume":"10","author":"Buttar","year":"2005","journal-title":"Exp Clin Cardiol"},{"key":"B12","doi-asserted-by":"publisher","DOI":"10.1007\/s10654-023-00984-8","article-title":"Risk of cancer after ST-segment-elevation myocardial infarction","volume":"38","author":"Leening","year":"2023","journal-title":"Eur J Epidemiol"},{"key":"B13","doi-asserted-by":"publisher","DOI":"10.1016\/j.semcancer.2021.12.004","article-title":"Molecular pathogenesis, targeted therapies, and future perspectives for gastric cancer","volume":"86","author":"Zeng","year":"2022","journal-title":"Semin Cancer Biol"},{"key":"B14","doi-asserted-by":"publisher","DOI":"10.3390\/nu14091764","article-title":"Haidich AB. 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