Figure 6.

Application of the Three SVM Ensembles for Classification of Immune-Hot Tumors (Trained on Subsets of LUAD) with the Only Input Being a Vector of 484 Promoter and Flank Predicted Accessibility Decisions

All Kaplan-Meier plots show group size (N) for patients of both predicted immune activity classes (hot/cold) that satisfy a confidence threshold (see Transparent Methods). Also provided are log rank test p values and hazard ratio (HR) based on a Cox proportional hazards (CoxPH) model regression using class assignment as the only explanatory variable. Note that the time axis range on subplots varies by cohort and that the immune-hot state learned based on LUAD is not always beneficial for patient survival in other tumor types. Tumor types included (A) LUAD, lung adenocarcinoma; (B) SKCM, skin cutaneous melanoma; (C) SARC, sarcoma; (D) BRCA, breast invasive carcinoma; (E) CESC, cervical squamous cell carcinoma and endocervical adenocarcinoma; (F) HNSC, head and neck squamous cell carcinoma; (G) LUSC, lung squamous cell carcinoma; (H) BLCA, bladder urothelial carcinoma; (I) GBM, glioblastoma multiforme; (J) KIRC, kidney renal clear cell carcinoma; (K) LGG, brain lower grade glioma; and (L) STAD, stomach adenocarcinoma.

See also Figure S8.