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Updated: Aug 11, 2025
Predictive Immune Modeling of Solid Tumors
Published on: February 25, 2020
EZH2-regulated immune risk score prognostic model predicts outcome of clear cell renal cell carcinoma
Shan Xu1,2, Bohan Ma1,2, Xiaoyu Feng1,2
1Department of Urology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Background:
The enhancer of zeste homolog 2 (EZH2) plays an important role in the tumor microenvironment (TME), and EZH2 in shaping the epigenetic landscape of CD8+ T cell fate and function, with a particular emphasis on cancer. Here, high EZH2 expression always leads to less CD8+ T cell infiltration. However, clear cell renal cell carcinoma (ccRCC) is reportedly a "hot" tumor, with contradictory high EZH2 expression. Our goal was to construct a EZH2-regulated immune risk score prognostic model to predict ccRCC outcomes, and provide a prospect of clinical EZH2 inhibitors in fine-tuning T cell responses with immune therapy.
Methods:
We downloaded and analyzed The Cancer Genome Atlas (TCGA), Cancer Cell Line Encyclopedia (CCLE), TISIDB database, and WebGestalt for ccRCC patients, EZH2-related tumor-infiltrating lymphocytes and immunomodulators. R packages "limma", "BiocManager", and "preprocessCore", etc. were downloaded to prepare CIBERSORT files, immune cells heatmap, multivariable Cox model and survival analysis. The EZH2-regulated immune risk model's prognostic ability was calculated by receiver operating characteristic (ROC) and area under the curve (AUC) analyses in R studio.
Results:
EZH2 was highly expressed and related to poor outcome in ccRCC. However, high-expression EZH2 was not related to a "cool" tumor. Of the 49 immunomodulators significantly regulated by EZH2, forest plot showed 26 immunomodulators signatures independently associated with overall survival. The EZH2-regulated immune-risk score prognostic model was an independent prognostic factor (AUC =0.816), especially combined with clinicopathologic parameters in ccRCC overall survival prediction.
Conclusions:
The EZH2-regulated immune-risk score prognostic model was an independent prognostic factor, with good accuracy and predictability, and could provide experimental data to the clinical area.
