Extended Data Fig. 5: Tumor growth shifts the systemic T cell composition across models.
From: Systemic dysfunction and plasticity of the immune macroenvironment in cancer models
a-b, PCA of T cell cluster frequencies across lymphoid tissues over tumor development for the 4T1 (a) and MMTV-PyMT (b) breast tumor models. Vectors designate directional progression from control (first point) to late stage disease (last point, arrowhead). In a, tumor time points include day 7, 14, 21, and 35 after 4T1 cancer cell transplant. In b, tumor time points include tumor sizes of 25 mm2, 50 mm2, 125 mm2, and 400 mm2. c-e, CD3 + CD11b- leukocytes from all tissues clustered together from healthy and MMTV-PyMT tumor-burdened animals at progressive tumor sizes. c, Heatmap of each T cell cluster frequency, by row, in each site and across the individual 2-3 animals per time point. d, Stacked bar plot of the log2 fold change in cluster frequency between early (25 mm2) and late (400 mm2) disease time points, colored by tissue. e, Heatmap of the protein expression defining each T cell cluster, column normalized to each protein’s maximum positive expression. f-h, Representative scatter plots of key proteins that define T cell clusters changing in frequency in the designated site between early and late disease stage for CD8 T cells (f), Tregs (g), and CD4 T Cells (h).
