Validation of prognostic signature and exploring the immune-related mechanisms for NR3C2 in clear cell renal cell carcinoma

验证透明细胞肾细胞癌中的预后特征并探索 NR3C2 的免疫相关机制

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作者:Daoxun Chen, Zhenjie Yin, Yongmei Chen, Yuanyuan Bai, Bingyong You, Yingming Sun, Yongyang Wu

Background

Previous studies have verified that NR3C2 inhibits tumor cell proliferation, invasion, and migration. However, there is a lack of independent validation cohorts for verifying the prognostic value of NR3C2 in clear cell renal cell carcinoma (ccRCC), and its underlying antitumor mechanisms remain unclear.

Conclusions

Our exploratory study suggested that NR3C2 could serve as a novel biomarker for predicting survival in patients with ccRCC and the molecular mechanisms owe partly to immune cell infiltration.

Methods

We first obtained dates from the online public databases. Then R language or online public database was used for bioinformatics analyses to evaluate the effect of NR3C2 on the diagnosis, prognosis, and immune microenvironment in ccRCC patients. Finally, the

Results

The present study yielded significant findings regarding the expression of NR3C2 in ccRCC compared to control tissues. Specifically, NR3C2 expression was found to be significantly reduced in ccRCC and was observed to be correlated with tumor stage. Additionally, patients with lower NR3C2 expression exhibited shorter overall survival (OS), disease-specific survival, and progress-free survival. Univariable and multivariate Cox analyses further identified NR3C2 expression as an independent prognostic factor for ccRCC. Receiver operating characteristic (ROC) analysis demonstrated that NR3C2 was a highly accurate marker for distinguishing tumors from normal kidney tissue, with an area under the curve (AUC) of 0.959. Further analyses using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis suggested that NR3C2 may play a role in various biological processes and pathways related to tumor immune microenvironment (TIM). The expression of NR3C2 exhibited significant positive correlations with the levels of infiltration of CD4+ and CD8+ T cells, as well as an association with immune checkpoints. Conclusions: Our exploratory study suggested that NR3C2 could serve as a novel biomarker for predicting survival in patients with ccRCC and the molecular mechanisms owe partly to immune cell infiltration.

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