Population pharmacokinetics–pharmacodynamics of alemtuzumab (Campath ® ) in patients with chronic lymphocytic leukaemia and its link to treatment response
Open accessAbstract
What is already known about this subject • The pharmacokinetics of alemtuzumab have been incompletely described to date. • At most, presentations of half‐life have been reported in clinical articles using data at the individual level. What this paper adds • This paper presents a comprehensive population pharmacokinetic–pharmacodynamic model for alemtuzumab in B‐CLL patients using lymphocyte counts as the biomarker and links the model to clinical outcomes. Aims: To characterize alemtuzumab pharmacokinetics and its exposure–response relationship with white blood cell (WBC) count in patients with B‐cell chronic lymphocytic leukaemia (CLL). Methods: Nonlinear mixed effects models were used to characterize plasma concentration–time data and WBC count‐time data from 67 patients. Logistic regression was used to relate summary measures of drug exposure to tumour response. Results: Alemtuzumab pharmacokinetics were best characterized by a two‐compartment model with nonlinear elimination where V max (µg h −1 ) was [1020 × (WBC count/10 × 10 9 l −1 ) 0.194 ], K m was 338 µg l −1 , V 1 was 11.3 l, Q was 1.05 l h −1 and V 2 was 41.5 l. Intersubject variability (ISV) in V max , K m , V 1 and V 2 was 32%, 145%, 84% and 179%, respectively. The reduction in WBC over time was modelled by a stimulatory loss indirect response model with values of 18.2 for E max , 306 µg l −1 for EC 50 , 1.56 × 10 9 cells l −1 h −1 for K in and 0.029 per h for K out . The probability of achieving a complete or partial response was ≥50% when the maximal trough concentration exceeded 13.2 µg ml −1 or when AUC 0–τ exceeded 484 µg h −1 ml −1 . Conclusions: Alemtuzumab displayed time‐ and concentration‐dependent pharmacokinetics with large interpatient variability, both in pharmacokinetics and pharmacodynamics, which was probably reflective of differences in tumour burden among patients. A direct relationship between maximal trough concentrations and clinical outcomes was observed, with increasing alemtuzumab exposure resulting in a greater probability of positive tumour response.
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Alemtuzumab, an antibody targeting CD52-expressing tumor cells, showed time-dependent PK with decreased clearance and extended half-life as tumor burden decreases after repeated dosing.
“For example, alemtuzumab, an antibody targeting CD52‐expressing tumor cells, showed time‐dependent PK with decreased clearance and extended half‐life as tumor burden decreases after repeated dosing.36”
From Tutorial on monoclonal antibody pharmacokinetics and its considerations in early development (2018) · cites this paper as [36]
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Cites
The Ecological Implications of Body Size
Peters, R. H. (1983) · Cambridge University Press eBooks · doi:10.1017/cbo9780511608551 · Cited by 5,757 · see citing works
Categorical Data Analysis Using the SAS System
Ziegel, E. R., Stokes, M., Davis, C., & Koch, G. (1996) · Technometrics · doi:10.1080/00401706.1996.10484575 · Cited by 2,034 · see citing works
Cheson, B. D., Bennett, J. M., Grever, M. R., Kay, N. E., Keating, M., O’Brien, S. J., & Rai, K. (1996) · Blood · doi:10.1182/blood.v87.12.4990.bloodjournal87124990 · Cited by 1,815 · see citing works
Self-citationKeating, M. J., Flinn, I. W., Jain, V. K., Binet, J., Hillmen, P., Byrd, J. C., Albitar, M. X., Brettman, L. R., Santabarbara, P., Wacker, B., et al. (2002) · Blood · doi:10.1182/blood.v99.10.3554 · Cited by 947 · see citing works
Self-citationComparison of four basic models of indirect pharmacodynamic responses
Dayneka, N., Garg, V., & Jusko, W. J. (1993) · Journal of Pharmacokinetics and Biopharmaceutics · doi:10.1007/bf01061691 · Cited by 821 · see citing works
Categorical Data Analysis Using The SAS1 System
(2001) · Technometrics · doi:10.1198/tech.2001.s617 · Cited by 649 · see citing works
Maloney, D. G., Grillo-López, A. J., Bodkin, D., White, C. A., Liles, T. M., Royston, I., Varns, C., Rosenberg, J., & Levy, R. (1997) · Journal of Clinical Oncology · doi:10.1200/jco.1997.15.10.3266 · Cited by 633 · see citing works
Evaluating Pharmacokinetic/Pharmacodynamic Models Using the Posterior Predictive Check
Yano, Y., Beal, S. L., & Sheiner, L. B. (2001) · Journal of Pharmacokinetics and Pharmacodynamics · doi:10.1023/a:1011555016423 · Cited by 407 · see citing works
Physiologic indirect response models characterize diverse types of pharmacodynamic effects
Jusko, W. J., & Ko, H. C. (1994) · Clinical Pharmacology & Therapeutics · doi:10.1038/clpt.1994.155 · Cited by 360 · see citing works
Assessment of Actual Significance Levels for Covariate Effects in NONMEM
Wählby, U., Jonsson, E. N., & Karlsson, M. O. (2001) · Journal of Pharmacokinetics and Pharmacodynamics · doi:10.1023/a:1011527125570 · Cited by 292 · see citing works
Morris, E. C., Rebello, P., Thomson, K. J., Peggs, K. S., Kyriakou, C. A., Goldstone, A. H., Mackinnon, S., & Hale, G. (2003) · Blood · doi:10.1182/blood-2002-09-2687 · Cited by 194 · see citing works
Hale, G., Rebello, P., Brettman, L. R., Fegan, C., Kennedy, B., Kimby, E. K., Leach, M., Lundin, J., Mellstedt, H., Moreton, P., et al. (2004) · Blood · doi:10.1182/blood-2004-02-0593 · Cited by 181 · see citing works
Self-citationCarpenter, P. A., Appelbaum, F. R., Corey, L., et al. (2002) · Blood · doi:10.1182/blood.v99.8.2712 · Cited by 173 · see citing works
Dowell, J. A., Korth-Bradley, J. M., Liu, H., King, S. P., & Berger, M. S. (2001) · The Journal of Clinical Pharmacology · doi:10.1177/00912700122012751 · Cited by 158 · see citing works
Montillo, M., Tedeschi, A., Miqueleiz, S., et al. (2006) · Journal of Clinical Oncology · doi:10.1200/jco.2005.04.6037 · Cited by 149 · see citing works
Bauer, R. J., Dedrick, R. L., White, M., Murray, M. J., & Garovoy, M. R. (1999) · Journal of Pharmacokinetics and Biopharmaceutics · doi:10.1023/a:1020917122093 · Cited by 135 · see citing works
Sharma, A., Ebling, W. F., & Jusko, W. J. (1998) · Journal of Pharmaceutical Sciences · doi:10.1021/js980171q · Cited by 127 · see citing works
Pharmacokinetics of CAMPATH-1H in BMT patients
Rebello, P., Cwynarski, K., Varughese, M., et al. (2001) · Cytotherapy · doi:10.1080/146532401317070899 · Cited by 116 · see citing works
CAMPATH-1H IN RHEUMATOID ARTHRITIS—AN INTRAVENOUS DOSE-RANGING STUDY
Isaacs, J. D., Manna, V. K., Rapson, N. T., et al. (1996) · Lara D. Veeken · doi:10.1093/rheumatology/35.3.231 · Cited by 111 · see citing works
Lee, H. (2003) · Clinical Pharmacology & Therapeutics · doi:10.1016/s0009-9236(02)17635-1 · Cited by 107 · see citing works
Ng, C. M., Joshi, A., Dedrick, R. L., Garovoy, M. R., & Bauer, R. J. (2005) · Pharmaceutical Research · doi:10.1007/s11095-005-5642-4 · Cited by 92 · see citing works
Pharmacokinetics of CAMPATH-1H: assay development and validation
Rebello, P., & Hale, G. (2002) · Journal of Immunological Methods · doi:10.1016/s0022-1759(01)00556-7 · Cited by 86 · see citing works
Mould, D. R., Davis, C. B., Minthorn, E. A., Kwok, D. C., Elliott, M. J., Luggen, M. E., & Totoritis, M. C. (1999) · Clinical Pharmacology & Therapeutics · doi:10.1016/s0009-9236(99)70032-9 · Cited by 83 · see citing works
Self-citationCAMPATH-1H in multiple sclerosis
Moreau, T., Coles, A. J., Wing, M. G., et al. (1996) · Multiple Sclerosis Journal · doi:10.1177/135245859600100616 · Cited by 52 · see citing works
Chow, F., Benincosa, L. J., Sheth, S. B., et al. (2002) · Clinical Pharmacology & Therapeutics · doi:10.1067/mcp.2002.122276 · Cited by 49 · see citing works
Knechtle, S. J. (2004) · Pediatric Transplantation · doi:10.1046/j.1399-3046.2003.00139.x · Cited by 38 · see citing works
Graff, J., Klinkhardt, U., Westrup, D., et al. (2003) · British Journal of Clinical Pharmacology · doi:10.1046/j.0306-5251.2003.01873.x · Cited by 8 · see citing works
Conditional weighted residuals, an improved model diagnostic for the FO/FOCE methods
Hooker, A. C., Staatz, C. E., & Karlsson, M. V. (2006) · Cited by 3 · see citing works
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Keizer, R. J., Huitema, A. D. R., Schellens, J. H. M., & Beijnen, J. H. (2010) · Clinical Pharmacokinetics · doi:10.2165/11531280-000000000-00000 · Cited by 725 · see citing works
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Dirks, N. L., & Meibohm, B. (2010) · Clinical Pharmacokinetics · doi:10.2165/11535960-000000000-00000 · Cited by 500 · see citing works
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Ovacik, M., & Lin, K. (2018) · Clinical and Translational Science · doi:10.1111/cts.12567 · Cited by 299 · see citing works
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- Authors
- Mould, D. R., Baumann, A., Kuhlmann, J., Keating, M. J., Weitman, S., Hillmen, P., Brettman, L. R., Reif, S., & Bonate, P. L.
- Affiliations
- Bayer (Germany) (DE)
- The University of Texas MD Anderson Cancer Center (US)
- Corresponding author
- Bonate, P. L.
- Venue
- British Journal of Clinical Pharmacology
- Publisher
- Wiley
- Published
- 2007-05-16
- Volume
- 64
- Issue
- 3
- Pages
- 278-291
- ISSN
- 0306-5251 (ISSN-L)
- 1365-2125
- PMC
- PMC2000651
- OpenAlex
- W2100660422
- Cited by
- 116
- References
- 28
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 4 · 2023: 1 · 2022: 5 · 2021: 6 · 2020: 2 · 2019: 7 · 2018: 6 · 2017: 7 · 2016: 9 · 2015: 9 · 2014: 5 · 2013: 7 · 2012: 8
- FWCI
- 4.72
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- British Journal of Clinical Pharmacology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Genetics › Chronic Lymphocytic Leukemia Research
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Pharmaceutical studies and practices
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Keywords
- alemtuzumab, B-cell chronic lymphocytic leukaemia, population pharmacokinetics, pharmacodynamics, exposure-response relationship, white blood cell count, lymphocyte count, nonlinear elimination, two-compartment model, indirect response model, tumor response, interpatient variability, tumor burden, monoclonal antibody therapy
- MeSH terms
- Alemtuzumab, Adult, Aged, Antibodies, Monoclonal, Antibodies, Neoplasm, Antineoplastic Agents, Dose-Response Relationship, Drug, Female, Humans, Immunoglobulin G, Leukocyte Count, Male, Middle Aged, Models, Biological, Leukemia, Lymphocytic, Chronic, B-Cell, Logistic Models, Nonlinear Dynamics, Antibodies, Monoclonal, Humanized
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