Extended Data Fig. 3: Peripheral clonal expansion and tissue infiltration in external dataset.
From: Peripheral T cell expansion predicts tumour infiltration and clinical response
The 14 patients with non-small cell lung adenocarcinoma in the dataset from Guo et al.3 are each depicted by a set of plots, as in Fig. 1a, c–e. Scatter plots of distinct clonotypes are shown, plotted by cell fractions in NAT and tumour, with random jitter added to distinguish points. Clone size in blood is indicated by dot size, and clones are coloured by the two-dimensional palette for tissue expansion pattern. Vertical and horizontal lines separate the absence and presence of clones within compartments. Diagonal lines indicate equal cell fractions in tumour and NAT. Numerical values denote the extent of parallel dual expansion, measured by a Pearson’s correlation coefficient, weighted (rw) by (1 + blood clone size), on the dual-expanded clones (nD). Underneath the scatter plots, bar plots for the corresponding patient show the extent of peripheral clonal expansion (top), used to order patients, as well as infiltration into tissue expansion patterns by blood-independent, non-expanded and expanded clones (middle). P values are shown from a chi-square test on counts of cells from tumour or NAT (tissue-resident). Additional bar plots (bottom) show the fractions of tissue-resident cells with clonotypes observed in a blood-expanded clone for each tissue expansion pattern. Two patients (single asterisk) had no cells collected from NAT in the original dataset. In addition, patients P0616P and P0616A (double asterisks) each had only a single dual-expanded clone, so a correlation coefficient could not be computed. The remaining ten patients are summarized in Fig. 1i to show the relationship between peripheral clonal expansion and parallel dual expansion in tissue.
