Figure 5: Activation state of tumour-associated macrophages can be detected in cancer biopsy transcriptomes and predicts survival. | Nature Communications

Figure 5: Activation state of tumour-associated macrophages can be detected in cancer biopsy transcriptomes and predicts survival.

From: Natural variation of macrophage activation as disease-relevant phenotype predictive of inflammation and cancer survival

Figure 5

(a) Percentage of macrophage-related RNA compared with total leukocyte RNA in raw osteosarcoma biopsies from 37 patients as detected by CIBERSORT deep deconvolution algorithm59. The groups labelled ‘leukocytes’ and ‘macrophages’ include gene signatures for lymphocytes, NK cells, granulocytes, dendritic cells and mast cells, and monocytes and macrophages, respectively. Data from GSE39055. (b) M(LPS)+ and M(LPS)− gene signatures (top 200 genes) were applied on 37 raw osteosarcoma biopsies using CIBERSORT deconvolution59. Data from GSE39055. (c) Gene enrichment analysis of M(LPS)+/− gene signatures (top 200 genes) in the PRECOG data set (genes ranked by patients’ survival in collapsed data of ≈18.000 tumour biopsies of 39 cancer entities46. (d–f) Survival data for human cancers was analysed for the impact of M(LPS)+ (top) and M(LPS)− (bottom) gene expression in the tumour biopsy transcriptome. The study population was divided by the median of the mean expression of a tumour-specific gene list denoted in the adjacent boxes. For details see method section. Kaplan–Meier curves were plotted using Proggene60. Number of patients (n), hazard ratio (HR, cox proportional hazard analysis) and significance (log rank P value) are shown. Data from GSE21257 (Osteosarcoma), GSE22762 (Chronic lymphocytic leukemia) and SKCM-TCGA (Melanoma).

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