Figure 7.

COX-2 Levels in Human Melanoma Biopsies Correlate Positively with Tumor-Promoting Factors and Negatively with Factors Associated with CTL Infiltration and Type I IFN Signaling

(A–E) Microarray expression data (Talantov et al., 2005) from human cutaneous melanoma biopsies containing tumor cells, stroma, and infiltrate were analyzed for the association of PTGS2 expression with that of several immune-related genes.

(A) Heatmap for a selected list of genes showing log2 expression signal for 20% of samples with highest (high COX-2) and lowest (low COX-2) PTGS2 expression. Genes were clustered using a Euclidean distance matrix and average linkage clustering. Red indicates higher expression, and blue indicates low expression relative to the mean expression of the gene across all samples.

(B) Correlation data for PTGS2 versus CD45 (PTPRC), FOXP3, CD19, and CD20 expression.

(C) Correlation data for PTGS2 versus IL-6, G-CSF (CSF3), CXCL1, and IL-8 expression.

(D) Correlation data for PTGS2 versus CD8A, CD8B, CXCL10, and CXCL9.

(E) Correlation data for PTGS2 versus the following ISGs: IFIT1, IFIT2, RIG-I (DDX58), MDA5 (IFIH1), OAS2, DDX60, ISG15, and IFI16.

In (B)–(E), all cutaneous melanoma samples (n = 45) from the dataset (Talantov et al., 2005) were included in the analysis, with each dot representing one sample. The statistical significance of the correlation was determined using the Pearson’s correlation coefficient. A linear regression-fitting curve is shown as a dotted red line.