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pmid:33134373

High Expression of UBB, RAC1, and ITGB1 Predicts Worse Prognosis among Nonsmoking Patients with Lung Adenocarcinoma through Bioinformatics Analysis.

Huan Deng · Yichao Huang · Li Wang · Ming Chen

BioMed research international · 2020 doi:10.1155/2020/2071593

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

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title
High Expression of UBB, RAC1, and ITGB1 Predicts Worse Prognosis among Nonsmoking Patients with Lung Adenocarcinoma through Bioinformatics Analysis.
doi
10.1155/2020/2071593
pmid
33134373
authors array · 4 items
[0]
Huan Deng
[1]
Yichao Huang
[2]
Li Wang
[3]
Ming Chen
journal
BioMed research international
year
2020
abstract
PURPOSE: The molecular mechanism underlying the tumorigenesis and progression of lung adenocarcinoma (LUAD) in nonsmoking patients remains unclear. This study was conducted to select crucial therapeutic and prognostic biomarkers for nonsmoking patients with LUAD. METHODS: Microarray datasets from the Gene Expression Omnibus (GSE32863 and GSE75037) were analyzed for differentially expressed genes (DEGs). Gene Ontology (GO) enrichment analysis of DEGs was performed, and protein-protein interaction network was then constructed using the Search Tool for the Retrieval of Interacting Genes and Cytoscape. Hub genes were then identified by the rank of degree. Overall survival (OS) analyses of hub genes were performed among nonsmoking patients with LUAD in Kaplan-Meier plotter. The Cancer Genome Atlas (TCGA) and The Human Protein Atlas (THPA) databases were applied to verify hub genes. In addition, we performed Gene Set Enrichment Analysis (GSEA) of hub genes. RESULTS: We identified 1283 DEGs, including 743 downregulated and 540 upregulated genes. GO enrichment analyses showed that DEGs were significantly enriched in collagen-containing extracellular matrix and extracellular matrix organization. Moreover, 19 hub genes were identified, and 12 hub genes were closely associated with OS. Although no obvious difference was detected in ITGB1, the downregulation of UBB and upregulation of RAC1 were observed in LUAD tissues of nonsmoking patients. Immunohistochemistry in THPA database confirmed that UBB and ITGB1 were downregulated, while RAC1 was upregulated in LUAD. GSEA suggested that ribosome, B cell receptor signaling pathway, and cell cycle were associated with UBB, RAC1, and ITGB1 expression, respectively. CONCLUSIONS: Our study provides insights into the underlying molecular mechanisms of the carcinogenesis and progression of LUAD in nonsmoking patients and demonstrated UBB, RAC1, and ITGB1 as therapeutic and prognostic indicators for nonsmoking LUAD. This is the first study to report the crucial role of UBB in nonsmoking LUAD.
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The DEGs between nonsmoking LUAD and adjacent lung tissues were obtained using GEO2R (http://www.ncbi.nlm.nih.gov/geo/geo2r) [12]. As an interactive web tool, GEO2R allows users to compare at least two datasets in one GEO series for selecting DEGs across experimental conditions. Both adjusted P values (adj.P) and Benjamini-Hochberg's false discovery rates were adopted to balance the finding of a statistically significant gene and false-positive limitation.
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sections[4] "2.2. Identification of Differentially Expressed Genes" paragraph 2
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The DEGs between nonsmoking LUAD and adjacent lung tissues were obtained using GEO2R (http://www.ncbi.nlm.nih.gov/geo/geo2r) [12]. As an interactive web tool, GEO2R allows users to compare at least two datasets in one GEO series for selecting DEGs across experimental conditions. Both adjusted P values (adj.P) and Benjamini-Hochberg's false discovery rates were adopted to balance the finding of a statistically significant gene and false-positive limitation.
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sections[19] "Data Availability" paragraph 2
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The datasets downloaded and analyzed during the current study are available on the GEO database: GSE32863, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE32863;GSE75037, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE75037.
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for nonsmoking patients with LUAD. METHODS: Microarray datasets from the Gene Expression Omnibus (G
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rved in LUAD tissues of nonsmoking patients. Immunohistochemistry in THPA database confirmed that UBB and ITGB
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:33134373", "kind": "science-record", "revision": 7, "content_hash": "sha256:75781ad00fd6c626e1a979cddeb5ed4c9f5b67c28b10f66db6223101bc8eec9b", "created_at": "2026-11-01T15:41:14Z", "updated_at": "2026-11-01T22:02:26Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "High Expression of UBB, RAC1, and ITGB1 Predicts Worse Prognosis among Nonsmoking Patients with Lung Adenocarcinoma through Bioinformatics Analysis.", "doi": "10.1155/2020/2071593", "pmid": "33134373", "authors": ["Huan Deng", "Yichao Huang", "Li Wang", "Ming Chen"], "journal": "BioMed research international", "year": 2020, "abstract": "PURPOSE: The molecular mechanism underlying the tumorigenesis and progression of lung adenocarcinoma (LUAD) in nonsmoking patients remains unclear. This study was conducted to select crucial therapeutic and prognostic biomarkers for nonsmoking patients with LUAD.\nMETHODS: Microarray datasets from the Gene Expression Omnibus (GSE32863 and GSE75037) were analyzed for differentially expressed genes (DEGs). Gene Ontology (GO) enrichment analysis of DEGs was performed, and protein-protein interaction network was then constructed using the Search Tool for the Retrieval of Interacting Genes and Cytoscape. Hub genes were then identified by the rank of degree. Overall survival (OS) analyses of hub genes were performed among nonsmoking patients with LUAD in Kaplan-Meier plotter. The Cancer Genome Atlas (TCGA) and The Human Protein Atlas (THPA) databases were applied to verify hub genes. In addition, we performed Gene Set Enrichment Analysis (GSEA) of hub genes.\nRESULTS: We identified 1283 DEGs, including 743 downregulated and 540 upregulated genes. GO enrichment analyses showed that DEGs were significantly enriched in collagen-containing extracellular matrix and extracellular matrix organization. Moreover, 19 hub genes were identified, and 12 hub genes were closely associated with OS. Although no obvious difference was detected in ITGB1, the downregulation of UBB and upregulation of RAC1 were observed in LUAD tissues of nonsmoking patients. Immunohistochemistry in THPA database confirmed that UBB and ITGB1 were downregulated, while RAC1 was upregulated in LUAD. GSEA suggested that ribosome, B cell receptor signaling pathway, and cell cycle were associated with UBB, RAC1, and ITGB1 expression, respectively.\nCONCLUSIONS: Our study provides insights into the underlying molecular mechanisms of the carcinogenesis and progression of LUAD in nonsmoking patients and demonstrated UBB, RAC1, and ITGB1 as therapeutic and prognostic indicators for nonsmoking LUAD. This is the first study to report the crucial role of UBB in nonsmoking LUAD.", "claims": [{"id": "claim-method", "statement": "The DEGs between nonsmoking LUAD and adjacent lung tissues were obtained using GEO2R (http://www.ncbi.nlm.nih.gov/geo/geo2r) [12]. As an interactive web tool, GEO2R allows users to compare at least two datasets in one GEO series for selecting DEGs across experimental conditions. Both adjusted P values (adj.P) and Benjamini-Hochberg's false discovery rates were adopted to balance the finding of a statistically significant gene and false-positive limitation.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33134373", "locator": "sections[4] \"2.2. Identification of Differentially Expressed Genes\" paragraph 2", "quote": "The DEGs between nonsmoking LUAD and adjacent lung tissues were obtained using GEO2R (http://www.ncbi.nlm.nih.gov/geo/geo2r) [12]. As an interactive web tool, GEO2R allows users to compare at least two datasets in one GEO series for selecting DEGs across experimental conditions. Both adjusted P values (adj.P) and Benjamini-Hochberg's false discovery rates were adopted to balance the finding of a statistically significant gene and false-positive limitation."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets downloaded and analyzed during the current study are available on the GEO database: GSE32863, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE32863;GSE75037, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE75037.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33134373", "locator": "sections[19] \"Data Availability\" paragraph 2", "quote": "The datasets downloaded and analyzed during the current study are available on the GEO database: GSE32863, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE32863;GSE75037, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE75037."}], "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:33134373"], "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:GSE32863"], "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:GSE32863"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:33134373", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1155/2020/2071593", "sha256": 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