Identification of Osteosarcoma Metastasis-Associated Gene Biomarkers and Potentially Targeted Drugs Based on Bioinformatic and Experimental Analysis.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:32884293", "kind": "science-record", "revision": 7, "content_hash": "sha256:a8216385006414e544aeafde8ae81ea747a2bf279327e81cc3e9753184272e3a", "created_at": "2026-11-01T15:41:09Z", "updated_at": "2026-11-01T22:02:08Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of Osteosarcoma Metastasis-Associated Gene Biomarkers and Potentially Targeted Drugs Based on Bioinformatic and Experimental Analysis.", "doi": "10.2147/OTT.S256617", "pmid": "32884293", "authors": ["Ming-De Cao", "Yan-Cheng Song", "Zhong-Meng Yang", "Da-Wei Wang", "Yi-Ming Lin", "Hua-Ding Lu"], "journal": "OncoTargets and therapy", "year": 2020, "abstract": "BACKGROUND: Metastasis is the leading cause of death for patients with osteosarcoma (OS). In the present study, we explore the biomarkers for metastatic OS and provide potential therapeutic approaches.\nMATERIALS AND METHODS: RNA-Seq data and clinical follow-up information were downloaded from TARGET and GEO databases. A Cox regression model was used to analyze metastatic events. L1000FWD, DGIdb, and CMap databases were used to identify potential drugs related to metastasis. Invasion and migration transwell assays and an adhesion assay were used to identify biological functions of genes.\nRESULTS: A total of 15 metastasis-related signatures (MRSs) were associated with the prognosis based on the TARGET or GSE21257 cohorts, among which IL10RA and TLR7 genes were especially significant. In the DGIdb drug-gene interaction database, TLR7 and IFNGR1 were found to have potential interactions with drugs. After inhibiting the expression of TLR7, the migration, invasion, and adhesion ability of OS cells were significantly enhanced, which further promoted metastasis.\nCONCLUSION: We identified a set of MRS that may be related to OS metastases. Among them, TLR7 plays a vital role and may be a potential target for OS metastasis treatment.", "claims": [{"id": "claim-method", "statement": "A univariable Cox regression model was used to analyze the prognostic relationship between MRSs and metastatic events.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32884293", "locator": "sections[5] \"Prognosis Analysis\" paragraph 2", "quote": "A univariable Cox regression model was used to analyze the prognostic relationship between MRSs and metastatic events."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The data used to support the findings of this study are available from the corresponding author on reasonable request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32884293", "locator": "sections[21] \"Data Sharing Statement\" paragraph 2", "quote": "The data used to support the findings of this study are available from the corresponding author on reasonable request."}], "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:32884293"], "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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