ArticleWorld journal of surgical oncology2023
Gene signature and prognostic value of ubiquitination-related genes in endometrial cancer.
Article in World journal of surgical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Upregulation of itchy E3 ubiquitin protein ligase contributes to endometrial cancer through promoting forkhead box P1 degradation.CytoJournal · 2026Article
- Deubiquitinases as prognostic biomarker and potential drug target for gynecological cancers.International journal of clinical oncology · 2026Article
- Identification and validation of a thirteen-gene signature based on ubiquitin related genes in cervical cancer.Discover oncology · 2025Article
- A novel ubiquitination-related gene signature for overall survival prediction in patients with liver hepatocellular carcinoma.Discover oncology · 2025Article
- CD8+ T cell activation in endometrial cancer: prognostic implications and potential for personalized therapy.Frontiers in immunology · 2025Article
- Remodeling the tumor microenvironment: regulatory effects of β-sitosterol and luteolin on the immunosuppressive milieu in endometrial carcinoma and implications for combinatorial immunotherapy.Frontiers in immunology · 2025Review
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Authors and funding
9 authors.
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Abstract
Protein ubiquitination is closely related to tumor occurrence and development. The specific role of ubiquitination in endometrial cancer remains largely unclear. Therefore, we constructed a novel endometrial cancer prognostic model based on ubiquitination-related genes. We extracted the expression matrices of ubiquitination-related genes from the Cancer Genome Atlas database, upon which we performed univariate Cox regression and least absolute shrinkage and selection operator (LASSO) regression analyses to obtain 22 ubiquitination-related genes for the construction of the prognostic model. Survival, regression, clinical correlation, and principal component analyses were performed to assess the performance of the model. Drug sensitivity analysis was performed based on these ubiquitination-related genes. Finally, a prognostic nomogram was constructed based on the prognostic model to quantify patient outcomes. Survival, regression, clinical correlation, and principal component analyses revealed that the performance of the prognostic model was satisfactory. Drug sensitivity analysis provided a potential direction for the treatment of endometrial cancer. The prognostic nomogram could be used to effectively estimate the survival rate of patients with endometrial cancer. In summary, we constructed a new endometrial cancer prognostic model and identified 5 differentially expressed, prognosis-associated, ubiquitination-related genes. These 5 genes are potential diagnostic and treatment targets for endometrial cancer.
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