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    Keywords: THERAPY ; TRANSPLANTATION ; T-CELLS ; NK cells ; CANCER-PATIENTS ; GENE-EXPRESSION ANALYSIS ; PHASE-II ; ACUTE MYELOID-LEUKEMIA ; EX-VIVO EXPANSION ; LARGE-SCALE
    Abstract: BACKGROUND AIMS: Ex vivo expansion of natural killer (NK) cells is a strategy to produce large numbers of these effector cells for immunotherapy. However, the transfer of bench-top expansion protocols to clinically applicable methods is challenging for NK cell-based therapy because of regulatory aspects and scale-up issues. Therefore, we developed an automated, large-scale NK cell expansion process. METHODS: Enriched NK cells were expanded with interleukin-2 and irradiated clinical-grade Epstein-Barr virus-transformed lymphoblastoid feeder cells with the use of an automated system in comparison to manual expansion, and the cells were investigated for their functionality, phenotype and gene expression. RESULTS: Automated expansion resulted in a mean 850-fold expansion of NK cells by day 14, yielding 1.3 (+/-0.9) x 10(9) activated NK cells. Automatically and manually produced NK cells were comparable in target cell lysis, degranulation and production of interferon-gamma and tumor necrosis factor-alpha and had similar high levels of antibody-dependent cellular cytotoxicity against rituximab-treated leukemic cells. NK cells after automated or manual expansion showed similar gene expression and marker profiles. However, expanded NK cells differed significantly from primary NK cells including upregulation of the functional relevant molecules TRAIL and FasL and NK cell-activating receptors NKp30, NKG2D and DNAM-1. Neither automatically nor manually expanded NK cells showed reduced telomere length indicative of a conserved proliferative potential. CONCLUSIONS: We established an automated method to expand high numbers of clinical-grade NK cells with properties similar to their manually produced counterparts. This automated process represents a highly efficient tool to standardize NK cell processing for therapeutic applications.
    Type of Publication: Journal article published
    PubMed ID: 25881519
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