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Fig. 2 | BMC Medical Genomics

Fig. 2

From: Inflammatory response-based prognostication and personalized therapy decisions in clear cell renal cell cancer to aid precision oncology

Fig. 2

Identification of three inflammatory response subtypes with diverse immunological features, clinical outcomes, and genomic alterations in TCGA-KIRC dataset. A Circos track plots illustrate genomic location, interactions, and prognostic relevance of inflammatory response genes. In the inner circle, protein–protein interactions are displayed. Blue dots denote univariate cox regression analysis-derived HR > 1, and red dots denote HR < 1. In the outer circle, genomic location of each inflammatory response gene is shown. B Consensus matrix k = 3. Colors from white to blue denote never cluster together to always cluster together. C PCA demonstrates the subtype assignments utilizing transcriptome profiles. D K-M curves of OS among three inflammatory response subtypes. E Transcriptional levels of common immune checkpoint molecules, abundance of immune and stromal cell types, and immune and stromal scores across the three subtypes. F Activity of oncogenic hallmark pathways and clinicopathological features in the three subtypes. G Differences in clinicopathological parameters among the three subtypes. H Sankey diagram illustrates the interactions of inflammatory response subtypes with known immune subtypes. I The mutational waterfall among the three inflammatory response subtypes. Mutated genes are ranked by mutational frequency. J Differences in the fractions of genome altered, amplification and deletion among the three subtypes. * p < 0.05. (K-M) Detection and comparison of significant copy-number amplifications and deletions across the three subtypes

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