Fig. 2: Establishment of distinct immune cell types related to TGFβ1 and IFNγ expression in RMS. | npj Precision Oncology

Fig. 2: Establishment of distinct immune cell types related to TGFβ1 and IFNγ expression in RMS.

From: Integrative bioinformatics analysis and experimental validation identify CHEK1 as an unfavorable prognostic biomarker related to immunosuppressive phenotypes in soft tissue sarcomas

Fig. 2

A Spearman correlation analysis between TGFβ1 and IFNγ across 33 TCGA tumour types (Pan-cancer cohort, TCGA-SARC was marked in red). B Heatmap showed the significantly positive and negative Spearman correlation coefficients between either TGFβ1 (TGFB1) or IFNγ (IFNG) transcript levels and relative abundance of eight immune cell types assessed by the CIBERSORTx deconvolution algorithm. C Unsupervised hierarchical cluster analysis revealed two main RMS immune clusters and five subclusters. D, E Violin plots describe the transcript levels of TGFB1 and IFNG among the five subclusters. F Relative fraction scores of the selected eight immune cell types were compared between Cluster A and B2 in box-whisker plots. In all graphs, box-whisker plots show individual samples, group median, and min-max values. Two-sided t test (*p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001).

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