Multidimensional analyses of donor memory-like NK cells reveal new associations with response after adoptive immunotherapy for leukemia

MM Berrien-Elliott, AF Cashen, CC Cubitt, CC Neal… - Cancer Discovery, 2020 - AACR
MM Berrien-Elliott, AF Cashen, CC Cubitt, CC Neal, P Wong, JA Wagner, M Foster
Cancer Discovery, 2020AACR
Natural killer (NK) cells are an emerging cancer cellular therapy and potent mediators of
antitumor immunity. Cytokine-induced memory-like (ML) NK cellular therapy is safe and
induces remissions in patients with acute myeloid leukemia (AML). However, the dynamic
changes in phenotype that occur after NK-cell transfer that affect patient outcomes remain
unclear. Here, we report comprehensive multidimensional correlates from ML NK cell–
treated patients with AML using mass cytometry. These data identify a unique in vivo …
Abstract
Natural killer (NK) cells are an emerging cancer cellular therapy and potent mediators of antitumor immunity. Cytokine-induced memory-like (ML) NK cellular therapy is safe and induces remissions in patients with acute myeloid leukemia (AML). However, the dynamic changes in phenotype that occur after NK-cell transfer that affect patient outcomes remain unclear. Here, we report comprehensive multidimensional correlates from ML NK cell–treated patients with AML using mass cytometry. These data identify a unique in vivo differentiated ML NK–cell phenotype distinct from conventional NK cells. Moreover, the inhibitory receptor NKG2A is a dominant, transcriptionally induced checkpoint important for ML, but not conventional NK-cell responses to cancer. The frequency of CD8α+ donor NK cells is negatively associated with AML patient outcomes after ML NK therapy. Thus, elucidating the multidimensional dynamics of donor ML NK cells in vivo revealed critical factors important for clinical response, and new avenues to enhance NK-cell therapeutics.
Significance
Mass cytometry reveals an in vivo memory-like NK-cell phenotype, where NKG2A is a dominant checkpoint, and CD8α is associated with treatment failure after ML NK–cell therapy. These findings identify multiple avenues for optimizing ML NK–cell immunotherapy for cancer and define mechanisms important for ML NK–cell function.
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