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Fig. 1 | BMC Cancer

Fig. 1

From: Sequential analysis of transcript expression patterns improves survival prediction in multiple cancers

Fig. 1

Sequential t-SNE analysis of KIRC and LGG. a. t-SNE-generated patterns of KIRC tumor Pyrimidine Biosynthesis Pathway transcripts showing two distinct clusters. n = number of tumors in each group b. Kaplan-Meier survival curves of the patient groups corresponding to the tumor clusters in A. M = median survival (in days) of each of the groups. c. t-SNE patterns of Notch Pathway transcripts. d. Kaplan-Meier survival curves of the patient groups corresponding to the tumor clusters in C. e. Kaplan-Meier survival of the favorable survival Notch Pathway cluster from D after t-SNE analysis using transcripts from the Pyrimidine Biosynthesis Pathway. Two t-SNE clusters similar to those depicted in A were observed (not shown). f. Kaplan-Meier survival of the unfavorable survival Notch Pathway cluster from D. g. t-SNE-generated patterns of LGG Notch Pathway transcripts showing two distinct clusters. h. Kaplan-Meier survival curves of each of the patient groups corresponding to the tumor clusters in (G). i. t-SNE-generated patterns of LGG Wnt Pathway transcripts showing four distinct clusters. j. Kaplan-Meier survival curves of each of the patient groups corresponding to the tumor clusters in (I). k. Sequential t-SNE Clustering. The favorable survival t-SNE Wnt Cluster 1 tumors from Fig. 1i were re-analyzed using Notch Pathway transcripts, which generated the expected two t-SNE clusters (not show) with significant survival differences. (l). The unfavorable survival Cluster 2 tumors from Fig. 1i were similarly re-analyzed using Notch Pathway transcripts and were shown to be comprised of two sub-clusters with significant differences in long-term survival

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