FUT11 expression in gastric cancer: its prognostic significance and role in immune regulation.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:38941002", "kind": "science-record", "revision": 3, "content_hash": "sha256:5618354ee3087afe1a95660868569d15e24ad142273b5e618f818b5d04d3973b", "created_at": "2026-11-01T20:29:01Z", "updated_at": "2026-11-01T22:12:09Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "FUT11 expression in gastric cancer: its prognostic significance and role in immune regulation.", "doi": "10.1007/s12672-024-01120-y", "pmid": "38941002", "authors": ["Yanqing Huang", "Xiaoying Yang", "Mengda Wei", "Xi Yang", "Zhenmin Yuan", "Junjie Huang", "Junren Wei", "Lei Tian"], "journal": "Discover oncology", "year": 2024, "abstract": "BACKGROUND: Gastric cancer (GC) is a malignant digestive tract tumor with a high recurrence rate and poor prognosis. Fucosylation is important in tumor glycosylation, in which the key enzyme is fucosyltransferase (FUT). FUT11 is a member of the fucosyltransferase family and has been closely associated with the development of multiple cancers. However, the specific relationship between FUT11 and GC prognosis and its molecular mechanism has not been fully studied. This study explored FUT11 expression, clinical correlation, and its role in GC occurrence and development to deepen understanding of its function.\nMETHODS: FUT11 expression in 33 cancers was preliminarily analyzed using the Tumor Immunoassay Resource (TIMER2.0) database. FUT11 expression in GC was evaluated using The Cancer Genome Atlas stomach adenocarcinoma (TCGA-STAD) and Gene Expression Profiling Interactive Analysis (GEPIA2) data and verified using the Gene Expression Omnibus (GEO) GSE65801 dataset. Furthermore, we studied the survival prognosis of FUT11 in GC and analyzed its effect on the survival rate of patients with GC using the KM-plotter. We also performed COX regression analysis on TCGA GC clinical data and analyzed FUT11 expression in the pathway using the STRING and LinkedOmics databases. Moreover, the relationship between FUT11 and GC immune infiltration level was examined, and the Kaplan-Meier survival analysis diagram was constructed. The FUT11 genetic variation information was retrieved using cBioPortal, and its drug sensitivity was analyzed using CellMiner. Finally, differential FUT11 expression in GC tissues was verified using immunohistochemistry.\nRESULTS: The data mining and analysis demonstrated that FUT11 expression was abnormally elevated in GC tissues and correlated with poor patient prognosis. The FUT11 expression level was an independent prognostic factor for GC. The difference in FUT11 expression level resulted in different degrees of immune cell infiltration in the patients with GC, which might regulate the tumor microenvironment. FUT11 affected GC development by participating in cancer pathways such as PI3K-AKT, neuroactive ligand-receptor, and MAPK. Immunohistochemical staining revealed that FUT11 was highly expressed in GC.\nCONCLUSIONS: This study revealed that FUT11 expression is significantly increased in GC tissues. This increase is associated with poor prognosis and might affect immune regulation. FUT11 might have immunological and targeted therapeutic value, providing a new approach to GC treatment.", "claims": [{"id": "claim-method", "statement": "Subsequently, univariate and multivariate COX regression analyses were conducted using the survminer, survival, and rms packages in R language to reveal the relationship between FUT11 expression and the clinical characteristics of patients with GC.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38941002", "locator": "sections[5] \"Clinical data analysis of FUT11 in patients with GC\" paragraph 3", "quote": "Subsequently, univariate and multivariate COX regression analyses were conducted using the survminer, survival, and rms packages in R language to reveal the relationship between FUT11 expression and the clinical characteristics of patients with GC."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The standardized datasets involved in this study were sourced from the TCGA (https://portal.gdc.cancer.gov/) and GEO (https://www.ncbi.nlm.nih.gov/geo/) databases, and all data were from different biological samples, without considering repeated testing.The data and materials that support the findings of this study are available on request from Discover Oncology.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38941002", "locator": "sections[30] \"notes\" paragraph 1", "quote": "The standardized datasets involved in this study were sourced from the TCGA (https://portal.gdc.cancer.gov/) and GEO (https://www.ncbi.nlm.nih.gov/geo/) databases, and all data were from different biological samples, without considering repeated testing.The data and materials that support the findings of this study are available on request from Discover Oncology."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:38941002"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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RESULTS: The data mining and analysis demon", "-AKT, neuroactive ligand-receptor, and MAPK. 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