Identification of candidate biomarkers correlated with the pathogenesis and prognosis of breast cancer via integrated bioinformatics analysis.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:33285689", "kind": "science-record", "revision": 8, "content_hash": "sha256:73c7d107f3854e0eb129ac63457355d914213083ddb8959e4b13e159b99bd6bb", "created_at": "2026-11-01T15:41:18Z", "updated_at": "2026-11-01T22:45:45Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of candidate biomarkers correlated with the pathogenesis and prognosis of breast cancer via integrated bioinformatics analysis.", "doi": "10.1097/MD.0000000000023153", "pmid": "33285689", "authors": ["Shuyu Liu", "Xinkui Liu", "Jiarui Wu", "Wei Zhou", "Mengwei Ni", "Ziqi Meng", "Shanshan Jia", "Jingyuan Zhang", "Siyu Guo", "Shan Lu", "Yingfei Li"], "journal": "Medicine", "year": 2020, "abstract": "BACKGROUND: This study was carried out to identify potential key genes associated with the pathogenesis and prognosis of breast cancer (BC).\nMETHODS: Seven GEO datasets (GSE24124, GSE32641, GSE36295, GSE42568, GSE53752, GSE70947, GSE109169) were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) between BC and normal breast tissue samples were screened by an integrated analysis of multiple gene expression profile datasets. Hub genes related to the pathogenesis and prognosis of BC were verified by employing protein-protein interaction (PPI) network.\nRESULTS: Ten hub genes with high degree were identified, including CDK1, CDC20, CCNA2, CCNB1, CCNB2, BUB1, BUB1B, CDCA8, KIF11, and TOP2A. Lastly, the Kaplan-Meier plotter (KM plotter) online database demonstrated that higher expression levels of these genes were related to lower overall survival. Experimental validation showed that all 10 hub genes had the same expression trend as predicted.\nCONCLUSION: The findings of this research would provide some directive significance for further investigating the diagnostic and prognostic biomarkers to facilitate the molecular targeting therapy of BC, which could be used as a new biomarker for diagnosis and to guide the combination medicine of BC.", "claims": [{"id": "claim-method", "statement": "Limma package in R language was used to analyze the DEGs in BC samples compared with normal samples.[6] Gene integration for the DEGs identified from the 7 datasets was conducted employing RobustRankAggreg.[7]", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33285689", "locator": "sections[3] \"Gene expression profile data\" paragraph 2", "quote": "Limma package in R language was used to analyze the DEGs in BC samples compared with normal samples.[6] Gene integration for the DEGs identified from the 7 datasets was conducted employing RobustRankAggreg.[7]"}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets generated during and/or analyzed during the current study are publicly available.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33285689", "locator": "sections[22] \"fn-group\" paragraph 1", "quote": "The datasets generated during and/or analyzed during the current study are publicly available."}], "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:33285689"], "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. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE24124"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE24124"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:33285689", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1097/MD.0000000000023153", "sha256": 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