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Fig. 5 | Journal of Big Data

Fig. 5

From: Liquid biopsy-based identification of prognostic and immunotherapeutically relevant gene signatures in lower grade glioma

Fig. 5

RRG-related Response Score in LGG. a The relative abundance of each circulating immune cells in high- and low-Response Score groups. The upper and lower ends of the boxes represented interquartile range of values. The lines in the boxes represented median value, and dots showed outliers. b Immune-checkpoint-relevant genes (CD274, CTLA4, HAVCR2, LAG3, PDCD1, PDCD1LG2, and TIGIT) expressed in high- and low-Response Score groups. Within each cluster, the upper and lower ends of the boxes represented interquartile range of values. The lines in the boxes represented median value, and black dots showed outliers. c Differences in Response Score between Cluster 1, Cluster 2, and Cluster 3. The differences between every two groups were compared through the Kruskal–Wallis test. d Differences in Response Score between SD, PR, and CR samples. The differences between every two groups were compared through the Kruskal–Wallis test. e Average (± SD) value of RRG-related Response Score (y axis) from week 0 to 34 (x axis). Response groups are indicated by color. f, g Kaplan–Meier curves for OS (f) and PFS (g) showing the difference in survival between high-Response Score group and low-Response Score group (log-rank test, p < 0.05). High-Response Score group is indicated in red line and low-Response Score group in blue. *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001

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