Fig. 10: The discriminative marker of neoantigen-specific T cells is associated with improved survival in cancer patients.

a Heatmap of the area under the curve (AUC) showing the differences in the ability of the various prediction models to predict neoantigen-specific T cells. b Influence of the CNST score on the survival of patients with common cancer types. c Kaplan‒Meier survival curve for OS in patients with high or low CNST scores. d Kaplan‒Meier survival curve for progression-free interval (PFI) in patients with high or low CNST scores. e Kaplan‒Meier survival curve for disease-specific survival (DSS) in patients with high or low CNST scores. f CNST scores among cancer types in the TCGA database, ordered by median (ACC: n = 77; BLCA: n = 407; BRCA: n = 1091; CESC: n = 304; CHOL: n = 36; COAD: n = 286; DLBC: n = 47; ESCA: n = 181; GBM: n = 159; HNSC: n = 518; KICH: n = 66; KIRC: n = 530; KIRP: n = 288; LAML: n = 173; LGG: n = 510; LIHC: n = 369; LUAD: n = 513; LUSC: n = 498; MESO: n = 87; OV: n = 422; PAAD: n = 178; PCPG: n = 177; PRAD: n = 495; READ: n = 91; SARC: n = 258; SKCM: n = 466; STAD: n = 414; TGCT: n = 132; THCA: n = 504; THYM: n = 119; UCEC: n = 180; UCS: n = 57; UVM: n = 79). g From bottom to top: mRNA expression (median normalized expression levels); expression versus methylation (gene expression correlation with DNA methylation beta value); amplification frequency (the difference between the fraction of samples in which an IM is amplified in a particular subtype and the amplification fraction in all samples); and deletion frequency (as amplifications) for 66 IM genes by immune subtype. h Relationship between the CNST score and infiltration of most immune cells. (i) Relationships between CNST scores and immune cell infiltration in patients with different tumors. The boxes showing the median (horizontal line), second to third quartiles (box), and Tukey-style whiskers (beyond the box) (f). The P values and hazard ratio (HR) were analyzed by Cox proportional-hazards model (b), two-sided log-rank test (c, d, e) and Pearson’s correlation analysis (h, i). Source data and P values are provided as a Source Data file.