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Alemtuzumab (ALM) is a cytotoxic monoclonal antibody that is used as a therapeutic agent in a variety of clinical settings. The target antigen for ALM is CD52, which is highly expressed on the membrane of mature lymphocytes, but not or only marginally on hematopoietic stem cells, red blood cells, and non-hematopoietic tissues. As such, ALM can be administered for the purpose of lymphocyte depletion with no or only minimal toxicity to other tissues. In this thesis, the mechanism of action of ALM was investigated in the context of two clinical settings, i.e. T-cell depletion before allogeneic stem cell transplantation (alloSCT) and depletion of malignant cells in B lymphoblastic leukemia (B-ALL).

Variation in response to biologic therapy for inflammatory diseases, such as psoriasis, is partly driven by variation in drug exposure. Real-world psoriasis data were used to develop a pharmacokinetic/pharmacodynamic (PK/PD) model for the first-line therapeutic antibody ustekinumab. The impact of differing dosing strategies on response was explored. Data were collected from a UK prospective multicenter observational cohort (491 patients on ustekinumab monotherapy, drug levels, and anti-drug antibody measurements on 797 serum samples, 1,590 measurements of Psoriasis Area Severity Index (PASI)). Ustekinumab PKs were described with a linear one-compartment model. A maximum effect (E max) model inhibited progression of psoriatic skin lesions in the turnover PD mechanism describing PASI evolution while on treatment. A mixture model on half-maximal effective concentration identified a potential nonresponder group, with simulations suggesting that, in future, the model could be incorporated into a Bayesian therapeutic drug monitoring “dashboard” to individualize dosing and improve treatment outcomes.