Gene signature and prognostic value of ubiquitination-related genes in endometrial cancer

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.

T cell proliferation-related subtypes, prognosis model and characterization of tumor microenvironment in head and neck squamous cell carcinoma

“…Risk score, clinical stage, and age are found to be important prognostic factors. As nomograms have been widely used as a predictive tool for cancer [ 33 , 34 ], to better understand the clinical characteristics and role of risk scores, we developed nomogram models and validated their high predictive efficiency. As mentioned above, our risk score strongly influenced the prognosis of patients with HNSC.…”

T cell proliferation-related subtypes, prognosis model and characterization of tumor microenvironment in head and neck squamous cell carcinoma

“…Risk score, clinical stage, and age are found to be important prognostic factors. As nomograms have been widely used as a predictive tool for cancer [33,34], to better understand the clinical characteristics and role of risk scores, we developed nomogram models and validated their high predictive e ciency. As mentioned above, our risk score strongly in uenced the prognosis of patients with HNSC.…”

A novel model based on ubiquitination-related gene to predict prognosis and immunotherapy response in hepatocellular carcinoma

“…URGs have been considered as controllers of tumors, impacting the regulation of tumor cell cycle, expression of genes, and advancement [ 12 ]. Nowadays, many scholars have applied URGs related characteristics to forecast the future course and immune reaction of various types of cancer, such as lung adenocarcinoma and endometrial cancer, the prognostic signature based on URGs performed well in predicting the infiltration of immune cells and the level of tumor mutation burden (TMB) within the TME and the effectiveness of immunotherapy for cancer treatment [ 13 , 14 ]. There were several studies have uncovered the relationship of URGs and the initiation and development of HCC, nevertheless, the role of URGs in HCC has not been systematically analyzed [ 15 , 16 ].…”