Identification of hub genes and pathways in Uterine corpus endometrial carcinoma (UCEC): A comprehensive in silico study.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:39552710", "kind": "science-record", "revision": 3, "content_hash": "sha256:a479698f5d41f21735027b0117bad245c24f10c9435c1ebbbf97c9b27e885146", "created_at": "2026-11-01T20:29:49Z", "updated_at": "2026-11-01T22:13:08Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of hub genes and pathways in Uterine corpus endometrial carcinoma (UCEC): A comprehensive in silico study.", "doi": "10.1016/j.bbrep.2024.101860", "pmid": "39552710", "authors": ["Mahsa Ejlalidiz", "Ameneh Mehri-Ghahfarrokhi", "Mohammadreza Saberiyan"], "journal": "Biochemistry and biophysics reports", "year": 2024, "abstract": "Background: Uterine corpus endometrial carcinoma (UCEC), derived from the endometrium, is the most common type of endometrial malignasis. This gynecological malignancy is very common all over the world, especially in developed countries and shows a potentially rising trend correlated with the increase in obese women.\nMethods: Differentially Expressed Genes (DEGs) analysis was conducted on GSE7305 and GSE25628 datasets from the Gene Expression Omnibus (GEO). DEGs were identified using GEO2R (adjusted p-value <0.05, |logFC| > 1). Pathway analysis employed KEGG and Gene Ontology databases, while protein-protein interactions were analyzed using Cytoscape and Gephi. GEPIA was used for target gene validation.\nResults: We have identified 304 common DEGs and 78 hub genes using GEO and PPI analysis, respectively. The GO and KEGG pathways analysis revealed enrichment of DEGs in extracellular matrix structural constituent, extracellular space, cell adhesion, and ECM-receptor interaction. GEPIA analysis identified three genes, ENG, GNG4, and ECT2, whose expression significantly differed between normal and tumor samples.\nConclusion: This analysis study identified the hub genes and associated pathways involved in the pathogenesis of UCEC. The identified hub genes exhibit remarkable potential as diagnostic biomarkers, providing a significant opportunity for early diagnosis and more effective therapeutic approaches for UCEC.", "claims": [{"id": "claim-method", "statement": "DEGs were identified using GEO2R (adjusted p-value <0.05, |logFC| > 1).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:39552710", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "DEGs were identified using GEO2R (adjusted p-value <0.05, |logFC| > 1)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "GSE7305: This dataset consists of 20 human tissue samples, evenly divided between diseased endometrial (n = 10) and normal endometrium (n = 10). 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The dataset employed the Affymetrix Human Genome U133 Plus 2.0 Array (GPL570) microarray platform."}], "state": "complete"}, {"id": "claim-target-result", "statement": "We have identified 304 common DEGs and 78 hub genes using GEO and PPI analysis, respectively.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:39552710", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "We have identified 304 common DEGs and 78 hub genes using GEO and PPI analysis, respectively."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "We have identified 304 common DEGs and 78 hub genes using GEO and PPI analysis, respectively.", "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:39552710"], "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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