Fig. 2: Various prognostic aspects of TIGIT. | npj Precision Oncology

Fig. 2: Various prognostic aspects of TIGIT.

From: Unlocking the potential of TIGIT in enhancing therapeutic strategies for acute myeloid leukemia through combined azacitidine therapy

Fig. 2

a The distribution of different cell types in the samples. Various cell types, such as smooth muscle cells, fibroblasts, macrophages, neutrophils, mast cells, T cells, and plasma cells, are represented using different colored dots. b The expression levels of specific genes (T-reg, CD4+T, CD8+T, and NKT) in different cell types, bar charts indicate the expression levels of these genes. c UMAP analysis of TIGIT in immune cell type-specificities of hematopoietic tissues. d The top 10 genes that displayed the strongest positive correlation with Cluster 4. e–g Survival curves for different risk groups (high risk and low risk) over time. Each plot includes survival probability curves and risk tables showing the number of individuals at risk at various time points. h–j Multivariate Cox regression analysis, including risk scores, age, ELN2017, and other variables in different datasets. The significance levels and hazard ratios are provided for each variable. k–m ROC curves for different datasets (BeatAML, TCGA, GSE106291) to evaluate the performance of models in predicting 5-year survival. Sensitivity and specificity curves, along with AUC values, are shown.

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