Elevated TOP2A and UBE2C expressions correlate with poor prognosis in patients with surgically resected lung adenocarcinoma: a study based on immunohistochemical analysis and bioinformatics.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:32103339", "kind": "science-record", "revision": 4, "content_hash": "sha256:0efe4bc94eae83dd01928e44a0c2aabdc27c98e465e0ff0bb846b008cc117134", "created_at": "2026-11-01T17:33:25Z", "updated_at": "2026-11-01T22:01:19Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Elevated TOP2A and UBE2C expressions correlate with poor prognosis in patients with surgically resected lung adenocarcinoma: a study based on immunohistochemical analysis and bioinformatics.", "doi": "10.1007/s00432-020-03147-4", "pmid": "32103339", "authors": ["Wei Guo", "Sijin Sun", "Lei Guo", "Peng Song", "Xuemin Xue", "Hao Zhang", "Guochao Zhang", "Zhen Wang", "Bin Qiu", "Fengwei Tan", "Qi Xue", "Yibo Gao", "Shugeng Gao", "Jie He"], "journal": "Journal of cancer research and clinical oncology", "year": 2020, "abstract": "PURPOSE: Lung cancer has the highest morbidity and mortality among all cancer types. Reliable prognostic biomarkers are needed to identify high-risk patients apart from TNM system for precision medicine. The present study is designed to identify robust prognostic biomarkers in lung adenocarcinoma (LUAD) based on integration of multiple GEO datasets, The Cancer Genome Atlas (TCGA) database and Clinical Proteomic Tumor Analysis Consortium (CPTAC) database.\nMETHODS: Four LUAD GEO datasets (GSE10072, GSE2514, GSE43458, and GSE32863) and TCGA database were implemented to analyze the differently expressed genes (DEGs). Gene ontology, KEGG pathway, and protein-protein interaction network (PPI) were conducted based on the above DEGs. Hub genes were selected based on connectivity degree in the PPI network. Expression analysis and Kaplan-Meier survival analysis were conducted in CPTAC lung adenocarcinomas cohort. Kaplan-Meier survival analysis and Cox proportional hazards regression were performed on these hub genes using TCGA and our own cohort.\nRESULTS: A total of 430 shared genes in all five datasets were identified as DEGs. Based on their PPI network, nine hub genes were selected and all of them were significantly associated with overall survival using GEPIA analysis. Two hub genes, TOP2A and UBE2C, were further combined and showed poorer prognosis in both TCGA dataset and our validated cohort. Analysis in CPTAC revealed that TOP2A and UBE2C were significantly highly expressed in tumor sample. Multivariable analysis suggested TOP2A and UBE2C as independent prognostic factors in LUAD.\nCONCLUSION: Using data mining approach, we identified TOP2A and UBE2C as two robust prognostic factors in LUAD. We also demonstrated the TOP2A/UBE2C co-expression status in LUAD, and TOP2A/UBE2C co-expression correlated with poorer prognosis. More in-depth research is needed for transforming this result into clinical setting.", "claims": [{"id": "claim-method", "statement": "Kaplan–Meier survival analysis and Cox proportional hazards regression were performed on these hub genes using TCGA and our own cohort.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32103339", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "Kaplan–Meier survival analysis and Cox proportional hazards regression were performed on these hub genes using TCGA and our own cohort."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Four LUAD GEO datasets (GSE10072, GSE2514, GSE43458, and GSE32863) and TCGA database were implemented to analyze the differently expressed genes (DEGs).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32103339", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "Four LUAD GEO datasets (GSE10072, GSE2514, GSE43458, and GSE32863) and TCGA database were implemented to analyze the differently expressed genes (DEGs)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The study identified TOP2A and UBE2C as robust prognostic factors in lung adenocarcinoma, with their co-expression associated with poorer prognosis.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:32103339", "locator": "sections[0] \"Abstract\" paragraph 4", "quote": "Using data mining approach, we identified TOP2A and UBE2C as two robust prognostic factors in LUAD."}, {"asset": "source:pmid:32103339", "locator": "sections[0] \"Abstract\" paragraph 4", "quote": "We also demonstrated the TOP2A/UBE2C co-expression status in LUAD, and TOP2A/UBE2C co-expression correlated with poorer prognosis."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The study identified TOP2A and UBE2C as robust prognostic factors in lung adenocarcinoma, with their co-expression associated with poorer prognosis.", "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:32103339"], "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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