Comparative Bioinformatics Characteristic of Bladder Cancer Stage 2 from Stage 4 Expression Profile: A Network-Based Study.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34466446", "kind": "science-record", "revision": 9, "content_hash": "sha256:78dee4a0ac2ca27e65b8647289df178fcf8517b356fc850e96916de9c4560ddc", "created_at": "2026-11-01T15:41:50Z", "updated_at": "2026-11-01T22:47:25Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Comparative Bioinformatics Characteristic of Bladder Cancer Stage 2 from Stage 4 Expression Profile: A Network-Based Study.", "doi": "10.22086/gmj.v0i0.1279", "pmid": "34466446", "authors": ["Mona Zamanian Azodi", "Mostafa Rezaei Tavirani", "Mohammad Rostami-Nejad", "Majid Rezaei-Tavirani"], "journal": "Galen medical journal", "year": 2018, "abstract": "BACKGROUND: Bladder cancer (BC) has remained as one of the most challenging issues in medicine. The aim of this study was to investigate the differential network analysis of stages 2 and 4 of BC to better understand the molecular pathology of these states.\nMATERIALS AND METHODS: We chose gene expression data of GSE52519 from Gene Expression Omnibus (GEO) database analyzed by the GEO2R online tool. Cytoscape version 3.6.1 and its algorithms are the methods applied for the network construction and investigation of differentially expressed genes (DEG) in these states.\nRESULT: Our result revealed that the analysis DEGs provides useful information about a common molecular feature of stages 2 and 4 of BC.\nCONCLUSION: Consequently, the network finding revealed that more investigation about stage 2 is required to achieve an effective therapeutic protocol to block the transition from stage 2 to stage 4.", "claims": [{"id": "claim-data-access", "statement": "For this purpose, the keyword “Bladder cancer” was searched against the GEO database [16] (www.ncbi.nlm.nih.gov/geo/), and the appropriate study of the mRNA microarray dataset GSE52519 (Genome-wide analysis of gene expression in cancerous and normal human bladder tissues) was downloaded.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34466446", "locator": "sections[2] \"Materials and Methods\" paragraph 2", "quote": "For this purpose, the keyword “Bladder cancer” was searched against the GEO database [16] (www.ncbi.nlm.nih.gov/geo/), and the appropriate study of the mRNA microarray dataset GSE52519 (Genome-wide analysis of gene expression in cancerous and normal human bladder tissues) was downloaded."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": null, "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:34466446"], "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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