NK cells as modulators of ICB sensitivity in mice. A, Immunofluorescence of YUMM5.2 and (B) NRAS;Ink4a tumors. Tumors were stained for a melanoma marker (PDGFRa for YUMM5.2 and SOX10 for NRAS;Ink4a) and for CD45 and CD3ε to map the T-cell infiltration. Counterstaining was performed with DAPI. C, Schematic representation of NK and T-cell infiltration in the NRAS;Ink4a and YUMM5.2 tumors. D, Schematic representation of the therapeutic regimen used with YUMM5.2 and NRAS;Ink4a tumors. E, Growth curves of YUMM5.2 (top left) and NRAS;Ink4a tumors (bottom left) in vivo (n ≥ 5 per cohort (control, αPD-1, aNK1.1, and αPD-1 + aNK1.1). A Welch-corrected t test was performed on the doubling time of tumors upon exponential fitting (*, P P NRAS;Ink4a tumors (bottom right) in vivo (n ≥ 5 per cohort. A log-rank Mantel–Cox test was used; *, P P P F, Cryosection immunofluorescence showing the overall immune infiltrate of NRAS;Ink4a tumors across cohorts. Tumor cells were identified by S100 and immune cells by CD45. Counterstaining was performed with DAPI. The dashed line marks the separation between tumor and immune areas. Quantification of overall immune infiltration in NRAS;Ink4a tumors (number of CD45+ of all DAPI-positive cells, with n ≥ 6 per cohort and data analyzed with a Welch-corrected t test; *, P P G, Stacked bar plot showing proportions of immune cell types from the NRAS;Ink4a and YUMM5.2 tumors across conditions based on the scRNA-seq experiment. For each condition, at least four mice were pooled (see “Methods”). H, Growth curves (left) and doubling time calculation (right) of NRAS;Ink4a tumors in vivo treated with αPD-1 and/or aNK1.1 in the presence/absence of CD8+ T-cell depletion (n = 4 per cohort and a Welch-corrected t test was performed on the doubling time of tumors upon exponential fitting; **, P C and D, Created with BioRender.com.)
Poźniak et al. (Thu,) studied this question.