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Immune activity and neopeptide load correlate across tumor types.

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Presentation on theme: "Immune activity and neopeptide load correlate across tumor types."— Presentation transcript:

1 Immune activity and neopeptide load correlate across tumor types.
Immune activity and neopeptide load correlate across tumor types. A, Cytolytic index and suppressive index across tumor types (top) and corresponding neopeptide load for the four indicated categories (bottom). Cytolytic index: expressed as the GSVA score of normalized GZMA and PRF1 expression (40, 41). Suppressive index: the GSVA score of normalized expression for ADORA2A (A2AR), CD274 (PD-L1), PDCD1 (PD1), CTLA4, HAVCR2 (TIM3), IDO1, IDO2, PDCD1LG2 (PD-L2), TIGIT, VISTA (C10orf54), and VTCN1 (B7-H4). Box and line, the 75th to 25th percentiles and median, respectively. Tumor types are ordered from left to right by median cytolytic index. P value: ANOVA across tumor types. B, Cytolytic index (x-axis) and suppressive index (top y-axis) or dysfunction index (bottom y-axis). Dysfunction index: GSVA score of tumor dysfunction genes identified by (37). R2 values: linear regression. P values: Spearman rho. Dot size, sample number. Shaded gray region, confidence interval. Andrew J. Rech et al. Cancer Immunol Res 2018;6: ©2018 by American Association for Cancer Research

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