Identification of NUF2 and FAM83D as potential biomarkers in triple-negative breast cancer.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:33005492", "kind": "science-record", "revision": 7, "content_hash": "sha256:8c6890c06ab05f20720cf4ad53f4a996d4e4bf247f32ec33b0d758b6266a5a88", "created_at": "2026-11-01T15:41:12Z", "updated_at": "2026-11-01T22:02:17Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of NUF2 and FAM83D as potential biomarkers in triple-negative breast cancer.", "doi": "10.7717/peerj.9975", "pmid": "33005492", "authors": ["Xiuming Zhai", "Zhaowei Yang", "Xiji Liu", "Zihe Dong", "Dandan Zhou"], "journal": "PeerJ", "year": 2020, "abstract": "BACKGROUND: Breast cancer is a heterogeneous disease. Compared with other subtypes of breast cancer, triple-negative breast cancer (TNBC) is easy to metastasize and has a short survival time, less choice of treatment options. Here, we aimed to identify the potential biomarkers to TNBC diagnosis and prognosis.\nMATERIAL/METHODS: Three independent data sets (GSE45827, GSE38959, GSE65194) were downloaded from the Gene Expression Omnibus (GEO). The R software packages were used to integrate the gene profiles and identify differentially expressed genes (DEGs). A variety of bioinformatics tools were used to explore the hub genes, including the DAVID database, STRING database and Cytoscape software. Reverse transcription quantitative PCR (RT-qPCR) was used to verify the hub genes in 14 pairs of TNBC paired tissues.\nRESULTS: In this study, we screened out 161 DEGs between 222 non-TNBC and 126 TNBC samples, of which 105 genes were up-regulated and 56 were down-regulated. These DEGs were enriched for 27 GO terms and two pathways. GO analysis enriched mainly in \"cell division\", \"chromosome, centromeric region\" and \"microtubule motor activity\". KEGG pathway analysis enriched mostly in \"Cell cycle\" and \"Oocyte meiosis\". PPI network was constructed and then 10 top hub genes were screened. According to the analysis results of the Kaplan-Meier survival curve, the expression levels of only NUF2, FAM83D and CENPH were associated with the recurrence-free survival in TNBC samples (P < 0.05). RT-qPCR confirmed that the expression levels of NUF2 and FAM83D in TNBC tissues were indeed up-regulated significantly.\nCONCLUSIONS: The comprehensive analysis showed that NUF2 and FAM83D could be used as potential biomarkers for diagnosis and prognosis of TNBC.", "claims": [{"id": "claim-method", "statement": "Two-tailed Student’s t-test was used to test significance of differences between two groups, and P < 0.05 was considered statistically significant.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33005492", "locator": "sections[9] \"Statistical analysis\" paragraph 2", "quote": "Two-tailed Student’s t-test was used to test significance of differences between two groups, and P < 0.05 was considered statistically significant."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The following information was supplied regarding data availability:The raw measurements are available in the Supplemental Files.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33005492", "locator": "sections[18] \"Additional Information and Declarations\" paragraph 5", "quote": "The following information was supplied regarding data availability:The raw measurements are available in the Supplemental Files."}], "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:33005492"], "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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