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pmid:36910645

Identification and validation of a novel ubiquitination-related gene UBE2T in Ewing's sarcoma.

Guoxin Qu · Yuanchun Xu · Ye Qu · Jinchao Qiu · Guosheng Chen · Nannan Zhao · Jin Deng

Frontiers in oncology · 2023 doi:10.3389/fonc.2023.1000949

Paper

complete

Experiment

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Data

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Analysis

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Execution

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:36910645
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2026-11-01T19:01:32Z
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paper object · 10 fields
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title
Identification and validation of a novel ubiquitination-related gene UBE2T in Ewing's sarcoma.
doi
10.3389/fonc.2023.1000949
pmid
36910645
authors array · 7 items
[0]
Guoxin Qu
[1]
Yuanchun Xu
[2]
Ye Qu
[3]
Jinchao Qiu
[4]
Guosheng Chen
[5]
Nannan Zhao
[6]
Jin Deng
journal
Frontiers in oncology
year
2023
abstract
Background: Ewing's sarcoma (ES) is one of the most prevalent malignant bone tumors worldwide. However, the molecular mechanisms of the genes and signaling pathways of ES are still not well sufficiently comprehended. To identify candidate genes involved in the development and progression of ES, the study screened for key genes and biological pathways related to ES using bioinformatics methods. Methods: The GSE45544 and GSE17618 microarray datasets were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified, and functional enrichment analysis was performed. A protein-protein interaction (PPI) network was built, and key module analysis was performed using STRING and Cytoscape. A core-gene was gained and was validated by the validation dataset GSE67886 and immunohistochemistry (IHC). The diagnostic value and prognosis evaluation of ES were executed using, respectively, the ROC approach and Cox Regression. Results: A total of 187 DEGs, consisting of 56 downregulated genes and 131 upregulated genes, were identified by comparing the tumor samples to normal samples. The enriched functions and pathways of the DEGs, including cell division, mitotic nuclear division, cell proliferation, cell cycle, oocyte meiosis, and progesterone-mediated oocyte maturation, were analyzed. There were 149 nodes and 1246 edges in the PPI network, and 15 hub genes were identified according to the degree levels. The core gene (UBE2T) showed high expression in ES, validated by using GSE67886 and IHC. The ROC analysis revealed UBE2T had outstanding diagnostic value in ES (AUC = 0.75 in the training set, AUC = 0.90 in the validation set). Kaplan-Meier (analysis of survival rate) and Cox Regression analyses indicated that UBE2T was a sign of adverse results for sufferers with ES. Conlusion: UBE2T was a significant value biomarker for diagnosis and treatment of ES, thereby presenting a novel potential therapeutic target for ES as well as a new perspective for assessing the effect of treatment and prognostic prediction.
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The receiver operating characteristic curve (ROC) technique in the Python package was executed to analyze core gene diagnostic effectiveness according to the training set and validation set.
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sections[10] "Diagnostic value analysis of UBE2T in the ES" paragraph 2
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The receiver operating characteristic curve (ROC) technique in the Python package was executed to analyze core gene diagnostic effectiveness according to the training set and validation set.
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The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/ Supplementary Material .
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UBE2T showed diagnostic performance for Ewing’s sarcoma with an AUC of 0.75 in the training set and 0.90 in the validation set.
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sections[0] "Abstract" paragraph 3
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The ROC analysis revealed UBE2T had outstanding diagnostic value in ES (AUC = 0.75 in the training set, AUC = 0.90 in the validation set).
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sections[20] "Diagnostic performance of UBE2T in the ES training set and verification set" paragraph 2
quote
The Area Under Curve (AUC) of the ROC of UBE2T in diagnosing ES was 0.75, with sensitivity and specificity of 0.85 and 0.62, respectively ( Figures 5B, C ).
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sections[20] "Diagnostic performance of UBE2T in the ES training set and verification set" paragraph 2
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The AUC of ROC was 0.90, its sensitivity was 0.94, and its specificity was 0.79 ( Figures 5E, F ).
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UBE2T showed diagnostic performance for Ewing’s sarcoma with an AUC of 0.75 in the training set and 0.90 in the validation set.
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Inflammatory gene profiling of Ewing sarcoma family of tumors (set A)
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Ewing sarcoma compared to a normal body map
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Exon array profiles of primary human Ewing sarcoma tumors
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PMID 36910645 full text
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[3]
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dated by the validation dataset GSE67886 and immunohistochemistry (IHC). The diagnostic value and prognosis ev
[1]
n dataset GSE67886 and immunohistochemistry (IHC). The diagnostic value and prognosis evaluat
[2]
ssion in ES, validated by using GSE67886 and IHC. The ROC analysis revealed UBE2T had outstan
[3]
BE2T and CD99 in the validation data set and IHC of ES samples The expression of core-DEG was
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:36910645", "kind": "science-record", "revision": 3, "content_hash": "sha256:897db57a36938f6c30877626a0f7ad0b71af0e73cad85fe8ee5860589dfaec4c", "created_at": "2026-11-01T19:01:32Z", "updated_at": "2026-11-01T22:09:02Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification and validation of a novel ubiquitination-related gene UBE2T in Ewing's sarcoma.", "doi": "10.3389/fonc.2023.1000949", "pmid": "36910645", "authors": ["Guoxin Qu", "Yuanchun Xu", "Ye Qu", "Jinchao Qiu", "Guosheng Chen", "Nannan Zhao", "Jin Deng"], "journal": "Frontiers in oncology", "year": 2023, "abstract": "Background: Ewing's sarcoma (ES) is one of the most prevalent malignant bone tumors worldwide. However, the molecular mechanisms of the genes and signaling pathways of ES are still not well sufficiently comprehended. To identify candidate genes involved in the development and progression of ES, the study screened for key genes and biological pathways related to ES using bioinformatics methods.\nMethods: The GSE45544 and GSE17618 microarray datasets were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified, and functional enrichment analysis was performed. A protein-protein interaction (PPI) network was built, and key module analysis was performed using STRING and Cytoscape. A core-gene was gained and was validated by the validation dataset GSE67886 and immunohistochemistry (IHC). The diagnostic value and prognosis evaluation of ES were executed using, respectively, the ROC approach and Cox Regression.\nResults: A total of 187 DEGs, consisting of 56 downregulated genes and 131 upregulated genes, were identified by comparing the tumor samples to normal samples. The enriched functions and pathways of the DEGs, including cell division, mitotic nuclear division, cell proliferation, cell cycle, oocyte meiosis, and progesterone-mediated oocyte maturation, were analyzed. There were 149 nodes and 1246 edges in the PPI network, and 15 hub genes were identified according to the degree levels. The core gene (UBE2T) showed high expression in ES, validated by using GSE67886 and IHC. The ROC analysis revealed UBE2T had outstanding diagnostic value in ES (AUC = 0.75 in the training set, AUC = 0.90 in the validation set). Kaplan-Meier (analysis of survival rate) and Cox Regression analyses indicated that UBE2T was a sign of adverse results for sufferers with ES.\nConlusion: UBE2T was a significant value biomarker for diagnosis and treatment of ES, thereby presenting a novel potential therapeutic target for ES as well as a new perspective for assessing the effect of treatment and prognostic prediction.", "claims": [{"id": "claim-method", "statement": "The receiver operating characteristic curve (ROC) technique in the Python package was executed to analyze core gene diagnostic effectiveness according to the training set and validation set.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36910645", "locator": "sections[10] \"Diagnostic value analysis of UBE2T in the ES\" paragraph 2", "quote": "The receiver operating characteristic curve (ROC) technique in the Python package was executed to analyze core gene diagnostic effectiveness according to the training set and validation set."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/ Supplementary Material .", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36910645", "locator": "sections[25] \"Data availability statement\" paragraph 2", "quote": "The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/ Supplementary Material ."}], "state": "complete"}, {"id": "claim-target-result", "statement": "UBE2T showed diagnostic performance for Ewing’s sarcoma with an AUC of 0.75 in the training set and 0.90 in the validation set.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:36910645", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "The ROC analysis revealed UBE2T had outstanding diagnostic value in ES (AUC = 0.75 in the training set, AUC = 0.90 in the validation set)."}, {"asset": "source:pmid:36910645", "locator": "sections[20] \"Diagnostic performance of UBE2T in the ES training set and verification set\" paragraph 2", "quote": "The Area Under Curve (AUC) of the ROC of UBE2T in diagnosing ES was 0.75, with sensitivity and specificity of 0.85 and 0.62, respectively ( Figures 5B, C )."}, {"asset": "source:pmid:36910645", "locator": "sections[20] \"Diagnostic performance of UBE2T in the ES training set and verification set\" paragraph 2", "quote": "The AUC of ROC was 0.90, its sensitivity was 0.94, and its specificity was 0.79 ( Figures 5E, F )."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": "UBE2T showed diagnostic performance for Ewing’s sarcoma with an AUC of 0.75 in the training set and 0.90 in the validation set.", "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:36910645"], "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:GSE17618"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "blocked", "blocked_on": "method:group_comparison_wilcoxon", "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:GSE17618"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": ["step:run_analysis blocked on method:group_comparison_wilcoxon"]}, "data": {"state": "partial", "assets": [{"id": "source:pmid:36910645", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3389/fonc.2023.1000949", "sha256": "sha256:4424ea8cf364c59d59e98013a5239064716d5ad08e7ad9833a79e759135406cf", "bytes": 46397, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3389/fonc.2023.1000949", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC9997212", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE17618", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE17618", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE17618", "version": null, "note": "The datasets presented in this study can be found in online repositories. 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