Myeloid-leukemic cells (AML, MDS, CML) can be differentiated to leukemia-derived dendritic cell [DC (DCleu)] potentially presenting the whole leukemic antigen repertoire without knowledge of distinct leukemia antigens and are regarded as promising candidates for a vaccination strategy. We studied the capability of 6 serum-free DC culture methods, chosen according to different mechanisms, to induce DC differentiation in 137 cases of AML and 52 cases of MDS. DC-stimulating substances were cytokines ("standard-medium", "MCM-Mimic", "cytokine-method"), bacterial lysates ("Picibanil"), double-stranded RNA ["Poly (I:C)"] or a cytokine bypass method ("Ca-ionophore"). The quality/quantity of DC generated was estimated by flow cytometry studying (co) expressions of "DC"antigens, costimulatory, maturation, and blast-antigens. Comparing these methods on average 15% to 32% DC, depending on methods used, could be obtained from blast-containing mononuclear cells (MNC) in AML/MDS cases with a DC viability of more than 60%. In all, 39% to 64% of these DC were mature; 31% to 52% of leukemic blasts could be converted to DCleu and DCleu-proportions in the suspension were 2% to 70% (13%). Average results of all culture methods tested were comparable, however not every given case of AML could be differentiated to DC with 1 selected method. However performing a pre-analysis with 3 DC-generating methods (MCM-Mimic, Picibanil, Ca-ionophore) we could generate DC in any given case. Functional analyses provided proof, that DC primed T cells to antileukemia-directed cytotoxic cells, although an anti-leukemic reaction was not achieved in every case. In summary our data show that a successful, quantitative DC/DCleu generation is possible with the best of 3 previously tested methods in any given case. Reasons for different functional behaviors of DC-primed T cells must be evaluated to design a practicable DC-based vaccination strategy.

Adoptive immunotherapy is an important therapy option to reduce relapse rates after stem-cell transplantation in patients suffering from acute myeloid leukemia and myelodysplastic syndromes. Myeloid leukemic cells can regularly be induced to differentiate into leukemia-derived dendritic cells (DC(leu)), regaining the stimulatory capacity of professional dendritic cells (DCs) while presenting the known/unknown leukemic antigen repertoire. So far, induced antileukemic T-cell responses are variable or even mediate opposite effects. To further elicit DC/DC(leu)-induced T-cell-response patterns, we generated DC from 17 Acute myeloid leukemia (AML) and 2 myelodysplastic syndrome cases and carried out flowcytometry and (functional) nonradioactive fluorolysis assays before/after mixed lymphocyte cultures of matched (allogeneic) donor T cells (n=6), T cells prepared at relapse after stem-cell transplantation (n=4) or (autologous) patients' T cells (n=7) with blast containing mononuclear cells ("MNC") or DC(leu) ("DC"). Compared with "MNC", "DC" were better mediators of antileukemic-activity, although not in every case effective. We could define DC subtypes and cut-off proportions of DC subtypes/qualities (mature DC/DC(leu)) after "DC" priming, which were predictive for an antileukemic activity of primed T cells and the clinical course of the disease after immunotherapy (allogeneic stem-cell transplantation/donor lymphocytes infusion/therapy). In summary, our data show that the composition and quality of DC after a mixed lymphocyte culture-priming phase is predictive for a successful ex vivo antileukemic response, especially with respect to proportions of mature and leukemia-derived DC. These data contribute not only to predict DC-mediated functions or the clinical course of the diseases but also to develop and refine DC-vaccination strategies that may pave the way to develop and modify adoptive immunotherapy, especially for patients at relapse after allogeneic stem-cell transplantation.

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Individual DCA-expression profiles should be evaluated before culture to evaluate DC counts/subtypes (mature/viableDC, DC(leu)) in individual patients.

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