Fig. 3

Prognostic value of the senescence-metabolism-related risk model (SeMRM) in single-cell data of renal cell carcinoma (ccRCC) and real-world studies. (A-B) UMAP maps of all single cells. (A) Each color encodes 12 sample sources. (B) Each color encodes 6 major cell types. (C) The proportion of cells derived from 5 nonmalignant and 7 tumor samples according to the SeMRM classification. (D) The expression of seven key mDEGs in the whole umap. (E) Expression and distribution of seven key mDEGs in the differentiation trajectory of ccRCC epithelial cells. (F) The differentiation trajectory of ccRCC epithelial cells with SeMRM as the classification standard. (G) Immunohistochemical (IHC) staining was performed using ccRCC tissue arrays from 61 normal tissues and 153 tumor tissues to detect the expression of key metabolism-related differentially expressed genes (mDEG) (NME2, CD44, COL1A1, ENO2, ENO1, FGF1, and PTGER4). A representative image is shown. Statistical analysis of the IHC staining immunoreactivity score (IRS). (H)According to the survival data of chip patients, a survival analysis diagram of high and low SeMRM patients was drawn. *p < 0. 05; **p < 0. 01; ***p < 0. 001