High expression of MCM10 is predictive of poor outcomes in lung adenocarcinoma.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:33604163", "kind": "science-record", "revision": 6, "content_hash": "sha256:5c55e3cb54103965d2e4818250422bc2d9a83809c0c4df664c891c3a548c03ff", "created_at": "2026-11-01T15:41:25Z", "updated_at": "2026-11-01T21:24:41Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "High expression of MCM10 is predictive of poor outcomes in lung adenocarcinoma.", "doi": "10.7717/peerj.10560", "pmid": "33604163", "authors": ["Mingrui Shao", "Shize Yang", "Siyuan Dong"], "journal": "PeerJ", "year": 2021, "abstract": "BACKGROUNDS: Lung adenocarcinoma is a complex disease that results in over 1.8 million deaths a year. Recent advancements in treating and managing lung adenocarcinoma have led to modest decreases in associated mortality rates, owing in part to the multifactorial etiology of the disease. Novel prognostic biomarkers are needed to accurately stage the disease and act as the basis of adjuvant treatments.\nMATERIAL AND METHODS: The microarray datasets GSE75037, GSE31210 and GSE32863 were downloaded from the Gene Expression Omnibus (GEO) database to identify prognostic biomarkers for lung adenocarcinoma and therapy. The differentially expressed genes (DEGs) were identified by GEO2R. Functional and pathway enrichment analysis were performed by Kyoto Encyclopedia of Genes and Genomes and Gene Ontology (GO). Validation was performed based on 72 pairs of lung adenocarcinoma and adjacent normal lung tissues.\nRESULTS: Results showed that the DEGs were mainly focused on cell cycle and DNA replication initiation. Forty-one hub genes were identified and further analyzed by CytoScape. Here, we provide evidence which suggests MCM10 is a potential target with prognostic, diagnostic and therapeutic value. We base this on an integrated approach of comprehensive bioinformatics analysis and in vitro validation using the A549 lung adenocarcinoma cell line. We show that MCM10 overexpression correlates with a poor prognosis, while silencing of this gene decreases aberrant growth by 2-fold. Finally, evaluation of 72 clinical biopsy samples suggests that overexpression of MCM10 in the lung adenocarcinoma highly correlates with larger tumor size. Together, this work suggests that MCM10 may be a clinically relevant gene with both predictive and therapeutic value in lung adenocarcinoma.", "claims": [{"id": "claim-method", "statement": "Briefly, Differentially Expressed Genes (DEGs) were identified from the three accessed datasets using GEO2R with a cutoff criteria set to a P-value of <0.05 and log fold change >1.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33604163", "locator": "sections[4] \"Identifying DEG and HUB genes\" paragraph 2", "quote": "Briefly, Differentially Expressed Genes (DEGs) were identified from the three accessed datasets using GEO2R with a cutoff criteria set to a P-value of <0.05 and log fold change >1."}], "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:33604163", "locator": "sections[23] \"Data Availability\" paragraph 2", "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:33604163"], "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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MATERIAL AND METHODS: The microarray datasets GSE75037, GSE31210 and GSE32863 wer"], "order_basis": "paper_text_order:465", "id": "assay:1"}, {"role": "data_generation", "definition_id": "cell_culture", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["s analysis and in vitro validation using the A549 lung adenocarcinoma cell line. We show that", "tp://www.proteinatlas.org/). A549 cells were cultured in RPMI 1640 medium supplemented with 1× penici", "were confirmed using in vitro experiments on A549 lung adeno carcinoma cells (Shanghai Cell Ba", "k, Shanghai, China). 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