Identification of Key Genes of Prognostic Value in Clear Cell Renal Cell Carcinoma Microenvironment and a Risk Score Prognostic Model

Factors associated with survival in paediatric and adolescent renal cell carcinoma: a population-based study

BACKGROUND

The purpose of this study was to conduct a population-based study to determine the prognosis of renal cell carcinoma (RCC) in children and adolescents.

METHODS

Patients with RCC who were registered in the Surveillance, Epidemiology, and End Results (SEER) program between 2000 and 2018 had their demographic and clinical characteristics evaluated retrospectively. The log-rank test was used to compare survival curves. Kaplan-Meier estimates were used to generate survival curves based on various factors. To identify factors associated with overall survival, Cox proportional-hazards regression was used.

RESULTS

A total of 251 patients were enrolled in the study. For all patients, the overall survival (OS) rates at 3- and 5- year were 93.5% and 92.0%, respectively. A multivariable study revealed that the following factors were independently associated with overall survival: sex, race, histologic type, SEER stage, AJCC stage, and type of surgery. Cox analysis showed that white patients had the lowest risk of mortality (hazard ratio (HR) 2.58, 95% confidence interval (CI), 1.33-4.99; P = 0.005), compared with black patients. Patients having metastatic disease had significantly higher mortality risk (HR 43, 95% CI, 14.8-125; P < 0.001) than the patients with localized tumour.

CONCLUSIONS

Our study emphasizes the importance of race, SEER stage, and surgery in the prognosis of paediatric RCC, providing valuable epidemiological evidence for clinical practice. Economic studies assessing a race/ethnic group specific strategy are also required.

An immune-related pseudogene signature to improve prognosis prediction of endometrial carcinoma patients

Background

Pseudogenes show multiple functions in various cancer types, and immunotherapy is a promising cancer treatment. Therefore, this study aims to identify immune-related pseudogene signature in endometrial cancer (EC).

Methods

Gene transcriptome data of EC tissues and corresponding clinical information were downloaded from The Cancer Genome Atlas (TCGA) through UCSC Xena browser. Spearman correlation analysis was performed to identify immune-related pseudogenes (IRPs) between the immune genes and pseudogenes. Univariate Cox regression, LASSO, and multivariate were performed to develop a risk score signature to investigate the different overall survival (OS) between high- and low-risk groups. The prognostic significance of the signature was assessed by the Kaplan–Meier curve, time-dependent receiver operating characteristic (ROC) curve. The abundance of 22 immune cell subtypes of EC patients was evaluated using CIBERSORT.

Results

Nine IRPs were used to build a prognostic signature. Survival analysis revealed that patients in the low-risk group presented longer OS than those in the high-risk group as well as in multiple subgroups. The signature risk score was independent of other clinical covariates and was associated with several clinicopathological variables. The prognostic signature reflected infiltration by multiple types of immune cells and revealed the immunotherapy response of patients with anti-programmed death-1 (PD-1) and anti-programmed cell death 1 ligand 1 (PD-L1) therapy. Function enrichment analysis revealed that the nine IRPs were mainly involved in multiple cancer-related pathways.

Conclusion

We identified an immune-related pseudogene signature that was strongly correlated with the prognosis and immune response to EC. The signature might have important implications for improving the clinical survival of EC patients and provide new strategies for cancer treatment.