Identification of lymph node metastasis-related microRNAs in breast cancer using bioinformatics analysis.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:32991406", "kind": "science-record", "revision": 5, "content_hash": "sha256:603dc12d41484fe88dd3d35822ba12fbd5481a01e1aee8b4677858c140e43dbb", "created_at": "2026-11-01T15:41:11Z", "updated_at": "2026-11-01T22:02:15Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of lymph node metastasis-related microRNAs in breast cancer using bioinformatics analysis.", "doi": "10.1097/MD.0000000000022105", "pmid": "32991406", "authors": ["Guangyu Gao", "Xinya Shi", "Zhen Yao", "Jiaofeng Shen", "Liqin Shen"], "journal": "Medicine", "year": 2020, "abstract": "BACKGROUND: Lymph node metastasis is a significant problem in breast cancer, and its underlying molecular mechanism is still unclear. The purpose of this study is to research the molecular mechanism and to explore the key RNAs and pathways that mediate lymph node metastasis in breast cancer.\nMETHODS: GSE100453 and GSE38167 were downloaded from the Gene Expression Omnibus (GEO) database and 569 breast cancer statistics were also downloaded from the TCGA database. Differentially expressed miRNAs were calculated by using R software and GEO2R. Gene ontology and Enriched pathway analysis of target mRNAs were analyzed by using the Database for Database of Annotation Visualization and Integrated Discovery (DAVID) and R software. The protein-protein interaction (PPI) network was performed according to Metascape, String, and Cytoscape software.\nRESULTS: In total, 6 differentially expressed miRNAs were selected, and 499 mRNAs were identified after filtering. The research of the Kyoto Encyclopedia of Genes and Genomes (KEGG) demonstrated that mRNAs enriched in certain tumor pathways. Also, certain hub mRNAs were highlighted after constructed and analyzed the PPI network. A total of 3 out of 6 miRNAs had a significant relationship with the overall survival (P < .05) and showed a good ability of risk prediction model of over survival.\nCONCLUSIONS: By utilizing bioinformatics analyses, differently expressed miRNAs were identified and constructed a complete gene network. Several potential mechanisms and therapeutic and prognostic targets of lymph node metastasis were also demonstrated in breast cancer.", "claims": [{"id": "claim-method", "statement": "The Kaplan–Meier Plotter (www.kmplot.com/) is a non-parametric statistic that is utilized to evaluate the overall survival statistics from recorded data. It was constructed from gene expression and survival data which were downloaded from GEO and TCGA database.[13]", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32991406", "locator": "sections[9] \"Analysis of the miRNAs and their relationship with breast cancer prognosis\" paragraph 2", "quote": "The Kaplan–Meier Plotter (www.kmplot.com/) is a non-parametric statistic that is utilized to evaluate the overall survival statistics from recorded data. It was constructed from gene expression and survival data which were downloaded from GEO and TCGA database.[13]"}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets generated during and/or analyzed during the present study are available from the corresponding author on reasonable request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32991406", "locator": "sections[25] \"Footnotes\" paragraph 2", "quote": "The datasets generated during and/or analyzed during the present 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:32991406"], "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:GSE100453"], "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:GSE100453"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:32991406", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1097/MD.0000000000022105", "sha256": 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