Extended Data Fig. 3: Systemic immunity is distinctly remodeled over tumor development.
From: Systemic dysfunction and plasticity of the immune macroenvironment in cancer models
a, Pearson’s correlation between MMTV-PyMT primary tumor size and change in systemic immune composition, measured as Aitchison distance. b, Degree of systemic immune change by Aitchison distance over tumor growth (left) and after removing the contribution of primary tumor size by linear regression (right). c, Percent of PyMT expressing metastatic cancer cells in the lung (green) and primary draining lymph node (blue). d, Pearson’s correlation between lung or lymph node metastasis and the residual changes in systemic immune composition after regressing out primary tumor burden. e, Heatmap of the log2 adjusted fold change in bulk spleen immune cell frequencies for each 400mm2 tumor-bearing mouse, ranging from 0 to high metastatic disease. f, Pearson’s correlation between tumor mass and absolute number of infiltrating leukocytes in 4T1 breast tumors. g, Spleen immune absolute cell counts, adjusted absolute cell counts per mg of tissue, and unadjusted immune frequencies at each time point for neutrophils, B cells and T cells of the 4T1 breast tumor model. h, PCA of relative immune cell frequencies from each major immune tissue over time in the MMTV-PyMT breast tumor model. Vectors designate progression from control (first point) to 25 mm2, 50mm2, 125mm2, and 400mm2 (last point, arrowhead). i, Scaffold maps of immune cell frequencies in the spleen at each time point of 4T1 tumor burden, colored by log2 fold change in frequency compared to the previous time point.
