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Fig. 3 | Journal of Big Data

Fig. 3

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

Fig. 3

Response-related clusters in PBMC samples. a The interaction of 43 RRGs in PBMC samples of LGG. Correlations are calculated by spearman correlation analysis. Positive correlation is indicated in red and negative correlation in blue. b Consensus heatmap (k = 3) based on 43 RGGs expression profile, displaying the clustering stability using 1000 iterations of unsupervised clustering. c The heatmap of 43 RRGs expression in the PBMC samples. The response-related cluster, patient ID, treatment response, samples drawn at weeks, vital status and gender were used as patient annotations. Red represented high expression of RRGs and blue represented low expression. d The proportion of response-related clusters in SD, PR and CR samples. Cluster 1, red; Cluster 2, green; Cluster 3, bule. e Alluvial diagram showing response-related clusters of samples from SD, PR and CR patients at different time points. f Differential expression of RASAL2, MAPKAPK2 and HLA-DRB1 in different clusters. The differences between every two groups were compared through the Kruskal–Wallis test. g Kaplan–Meier curve for OS showing the difference in survival between cluster 3 and cluster 1/2 (log-rank test, p = 0.066). P < 0.1, *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001

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