Research Paper Volume 14, Issue 10 pp 4586—4605
Construction and validation of an immunoediting-based optimized neoantigen load (ioTNL) model to predict the response and prognosis of immune checkpoint therapy in various cancers
Figure 4. Association between ioTNL score and other immunotherapy biomarkers. Comparison of the response prediction among TMB, TNL and ioTNL in the NSCLC cohort (A, left), the SKCM cohort (B, left), the NPC cohort (C, left) and the ICC cohort (D, left). Kaplan-Meier analysis of patient survival of TMB and TNL in the NSCLC cohort (A, middle and right), the SKCM cohort (B, middle and right), the NPC cohort (C, middle and right) and the ICC cohort (D, middle and right). (E) Spearman correlation of ioTNL with genomic biomarkers and microenvironment-related biomarkers in SKCM cohort. Positive correlations are labeled in blue and negative correlation are labeled in red. Size of circle represented the value of correlation.