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. 2023 Jan 30;88:104452. doi: 10.1016/j.ebiom.2023.104452

Fig. 5.

Fig. 5

The SIA predicts response to immune therapy. (a) SIA values generated from bulk RNA data42 by computing the ratio between counts of CD8A and C1QA-C expression in 26 ICI-treated melanomas from patients grouped by response. Spearman-rank correlation was used to test the associations between SIA levels and response. The regression line is visualised by a red dashed line. (b) Upper panel demonstrates the difference in SIA values, computed from single cell RNA sequencing data48 and based on the ratio between counts of CD8+ cells macrophages in responder and non-responder lesions of 48 melanoma patients who received ICI treatment. M2 like macrophages were defined by double-positivity of CD68 and either CD163 or C1QA-C. Lower panel demonstrates the receiver operating characteristics (red line) and 95% confidence intervals (pink areas), calculated for SIA and therapy response (c) The difference in SIA values, computed from single cell RNA sequencing data47 as the ratio between counts of CD8+ cells macrophages in four renal cell carcinoma patients, with different therapy. Horizontal lines indicate median values and boxes show interquartile range. Mann–Whitney U-test was used for statistical analysis.