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Multivariate statistical data analysis as a tool to analyze ex vivo expansion dynamics of cytokine‐induced killer cells

Cytokine‐induced killer (CIK) cells, obtained after mononucleated cell stimulation with interferon‐γ, interleukin‐2, and anti‐CD3 antibody, are constituted by CD3+CD56+ (CIK) cells and a minority of natural killer (NK; CD3−CD56+) cells and T‐lymphocytes (CD3+CD56−) with antitumor effect against hematological malignancies, thus representing a promising immunotherapy strategy. To ensure in vivo antitumor activity it is mandatory to maximize the percentage of CD3+56+ effector cells, which is highly variable depending on the starting sample and the harvesting day. Based on cytofluorimetric data, we have retrospectively applied multivariate statistical data analysis (MVDA) to 30 expansions building mathematical models able to predict the expansion fate and the optimal CIK harvesting day.