Abstract

Tyrosine kinase inhibitors (TKIs) are effective as a targeted treatment for chronic myeloid leukemia (CML), which can selectively suppress BCR-ABL1 kinase activity. CML therapy with TKIs combination has been supported by in-vitro, in-vivo, and patient-based data where the nilotinib-dasatinib co-administration has exerted superior anticancer efficacy with greater cellular uptake, less resistance to chemotherapy, and no additive adverse events encountered. Therefore, it is essential to develop a suitable analytical method for the simultaneous estimation of these drugs in the developed novel lipid nanocarriers like liposomes. Design of Experiment (DoE) has been implemented as a tool of QbD to systematically investigate the relation between the HPLC method attributes and analytical responses, i.e., chromatographic detection, quantification, and peak properties for dasatinib and nilotinib. An Ishikawa diagram is constructed to delineate possible influencing variables to the analytical performances. Afterward, 4 factors 2 level full factorial design (FFD) was employed to model and identify the main effects and interaction effects between the factors selected after the initial risk assessment. The suggested design space for optimized chromatographic conditions by QbD analysis is linear within the selected range of drug concentrations, accurate and precise, sensitive, and robust according to the ICH guidelines. The optimal method is comprised of a 1 mL/min flow rate of mobile phase (ACN and 20 mM KH2PO4 of pH 7.00) in gradient mode at 25 °C column temperature for 20 μL sample injection volume and detection wavelength fixed at 297 nm. Most importantly, this novel HPLC method is simple and selective enough to evaluate dasatinib and nilotinib content in the lipid nanocarriers.

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