title: Natural killer cell (NK) subsets and NK-like T-cell populations in acute myeloid leukemias and myelodysplastic syndromes.
abstract: The impact of the immune microenvironment on the behavior and therapeutic strategies for hematopoietic and lymphoid neoplasms is being increasingly recognized. Many functional studies of natural killer (NK) cell cytotoxic responses in myelodysplasia (MDS) and acute myeloid leukemia (AML) exist, but with limited data on these lymphocyte proportions and related T-cell subsets. The proportions of these cells and their prognostic implications were therefore investigated in 89 AML, 51 MDS, and 20 control marrows by flow cytometry. The median proportion of NK cells (relative to the total lymphocytes) was lower in AML versus controls (P = 0.01). Among AML, a lower proportion of NK cells predicted better survival, whereas a higher NK cell proportion was associated with the poor prognostic AML category (P = 0.002). NK cell proportions were similar in MDS, MDS subgroups, and control marrows. The relative proportion of the mature NK cell subset (CD56(dim) CD16/57(bright) ) was lower in AML and MDS versus controls (P = 0.006, P = 0.0002, respectively). The proportion of mature NK cells was not a prognostic indicator although fewer were seen in poor prognosis AML. In contrast, a lower proportion of mature NK cells correlated with worse survival in MDS (P = 0.027). A higher proportion of NK-like T-cells (of total lymphoid cells) was found in MDS compared to controls (P = 0.01). A lower proportion of NK-like T-cells predicted better survival in AML but not in MDS. Thus, the proportions of NK, NK-cell subsets, and NK-like T-cells vary in myeloid neoplasms, may potentially impact immunomodulatory therapies, and may impact outcome. © 2016 International Clinical Cytometry Society.
authors.affiliation: Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
authors.forename: N
authors.initials: N
authors.lastname: Aggarwal
authors.affiliation: Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
authors.forename: S H
authors.initials: SH
authors.lastname: Swerdlow
authors.affiliation: Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
authors.forename: S P
authors.initials: SP
authors.lastname: TenEyck
authors.affiliation: Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
authors.forename: M
authors.initials: M
authors.lastname: Boyiadzis
authors.affiliation: Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
authors.forename: R E
authors.initials: RE
authors.lastname: Felgar
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D005260:Female; D005434:Flow Cytometry / Q000379:methods; D006801:Humans; D007694:Killer Cells, Natural / Q000166:cytology* / Q000276:immunology; D015470:Leukemia, Myeloid, Acute / Q000276:immunology / Q000473:pathology*; D008223:Lymphoma / Q000276:immunology / Q000473:pathology*; D008297:Male; D008875:Middle Aged; D009190:Myelodysplastic Syndromes / Q000276:immunology / Q000473:pathology*; D009196:Myeloproliferative Disorders / Q000473:pathology*; D016176:T-Lymphocyte Subsets / Q000166:cytology*; D055815:Young Adult
keywords: AML; MDS; NK-like T-cell; acute myeloid leukemia; flow cytometry NK cell; myelodysplasia; myelodysplastic syndrome; natural killer cell