Figure 8
From: RGN as a prognostic biomarker with immune infiltration and ceRNA in lung squamous cell carcinoma
Construction and validation of LUSC clustering. (A) All LUSC samples in TCGA database were divided into three clusters based on immune infiltration level. (B) The violin plot of the difference in Tumor Purity among high-, middle-, and low-immune cell infiltration cluster. (C) The enrichment levels of 29 immune-related cells and types in the high-, middle-, and low-immune cell infiltration cluster. The Tumor Purity, ESTIMATE Score, Immune Score and Stromal Score of every patient gene were showed combine with the clustering information. (D) The relationship between PD-L1 expression and the three subtypes. (E) The proportion of immune cells among the high-, middle-, and low-immune cell infiltration cluster using CIBERSORT algorithm. (F) The relationship between RGN expression and the three subtypes. *P < 0.05; **P < 0.01; ***P < 0.001; ns not significant.
