Background: Asparaginase (ASPase) plays an important role in the therapy of acute lymphoblastic leukemia (ALL). Serum ASPase activity (SAA) can be modified and even abolished by host immune responses; therefore, current treatment guidelines recommend to monitor SAA during treatment administration. The SAA monitoring schedule needs to be carefully planned to reduce the number of samples without hampering the possibility of measuring pharmacokinetics (PK) parameters in individual patients. Complex modelling approaches, not easily applicable in common practice, have been applied in previous studies to estimate ASPase PK parameters. This study aimed to estimate PK parameters by using a simplified approach suitable for real-world settings with limited sampling. Methods: Our study was based on 434 patients treated in Italy within the AIEOP-BFM ALL 2009 trial. During the induction phase, patients received two doses of pegylated ASPase and were monitored with blood sampling at five time points, including time 0. PK parameters were estimated by using the individually available SAA measurements with simple modifications of the classical non-compartmental PK analysis. We also took the opportunity to develop and validate a series of limited sampling models to predict ASPase exposure. Results: During the induction phase, average ASPase activity at day 7 was 1380 IU/L after the first dose and 1948 IU/L after the second dose; therapeutic SAA levels (>100 IU/L) were maintained until day 33 in 90.1% of patients. The average AUC and clearance were 46,937 IU/L × day and 0.114 L/day/m², respectively. The database was analyzed for possible associations of PK parameters with biological characteristics of the patients, finding only a limited dependence on sex, age and risk score; however, these differences were not sufficient to allow any dose or schedule adjustments. Thereafter the possibility of further sampling reduction by using simple linear models to estimate the AUC was also explored. The most simple model required only two samplings 7 days after each ASPase dose, with the AUC being proportional to the sum of the two measured activities A(7) and A(21), calculated by the formula AUC = 14.1 × [A(7) + A(21)]. This model predicts the AUC with 6% average error and 35% maximum error compared to the AUC estimated with all available measures. Conclusions: Our study demonstrates the feasibility of a direct estimation of PK parameters in a real-life situation with limited and variable blood sampling schedules and also offers a simplified method and formulae easily applicable in clinical practice while maintaining a reliable pharmacokinetic monitoring.

Background/Objectives: Conjugation of polyethylene glycol (PEG) to L-asparaginase (ASP) reduces immunogenicity and prolongs the half-life of this biological drug used to treat acute lymphoblastic leukemia (ALL). However, some patients develop anti-drug antibodies (anti-ASP and anti-PEG), which may impair efficacy through neutralization or faster elimination and may cause hypersensitivity reactions. Their clinical impact remains debated, partly due to variability in analytical methods and cut-points often defined by statistical rather than clinical outcomes. Methods: To address this issue, we used two assays to measure anti-PEG antibodies in 27 sera from 25 children with ALL who showed reactions to PEG-ASP—either clinical allergy with reduced ASP activity (n = 18) or allergic-like reactions without major activity loss (n = 9)—and in 25 sera from 19 children with ALL but without clinically relevant reactions. Sera from 16 healthy children were used as controls. This design enabled assessment of sensitivity and specificity using clinically relevant cut-points. Results: Anti-PEG IgG (but not IgM), measured by ELISA, correlated with reduced drug activity, showing 83% sensitivity and 91% specificity. We also developed a surface plasmon resonance (SPR) assay, capable of detecting simultaneously both anti-PEG and anti-ASP antibodies and analyzing binding kinetics. ROC analysis of SPR data showed 78% sensitivity and 94% specificity. Conclusions: Overall, these findings highlight the importance of clinically defined cut-points, support a key role of anti-PEG antibodies in hypersensitivity with reduced drug activity, and suggest that measuring anti-PEG antibodies may help guide therapeutic decisions.