Literature DB >> 34859337

Population Pharmacokinetics of Melphalan in a Large Cohort of Autologous and Allogeneic Hematopoietic Cell Transplantation Recipients: Towards Individualized Dosing Regimens.

Gunjan L Shah1,2, Jaap Jan Boelens3,4, Dean Carlow5, Andrew Lin6, Ryan Schofield5, Nancy Cruz Sitner1, Anna Alperovich1, Josel Ruiz1, Anthony Proli6, Parastoo Dahi1,2, Roni Tamari1,2, Sergio A Giralt1,2, Michael Scordo1,2, Rick Admiraal7,8.   

Abstract

BACKGROUND AND OBJECTIVES: High-dose melphalan is an integral part of conditioning chemotherapy prior to both autologous and allogeneic hematopoietic cell transplantation. While underexposure may lead to relapse, overexposure may lead to toxicities include mucositis, diarrhea, bone marrow suppression, and rarely sinusoidal obstruction syndrome. In this study, we describe the population pharmacokinetics of high-dose melphalan as a first step towards individualized dosing.
METHODS: Melphalan samples were collected in patients receiving an allogeneic or autologous hematopoietic cell transplantation between August 2016 and August 2020 at the Memorial Sloan Kettering Cancer Center. A population-pharmacokinetic model was developed using NONMEM.
RESULTS: Based on a total of 3418 samples from 452 patients receiving a median cumulative dose of 140 mg/m2, a two-compartment population-pharmacokinetic model was developed. Fat-free mass was a covariate for clearance, central volume of distribution, and inter-compartmental clearance, while glomerular filtration rate predicted clearance. Simulation studies showed that based on fixed body surface area-based dosing, renal impairment has a higher impact in increasing melphalan exposure compared with obesity.
CONCLUSIONS: The proposed model adequately describes the population pharmacokinetics of melphalan in adult patients receiving a hematopoietic cell transplantation. This model can be used to define the therapeutic window of melphalan, and subsequently to develop individualized dosing regimens aiming for that therapeutic window in all patients.
© 2021. The Author(s), under exclusive licence to Springer Nature Switzerland AG.

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Year:  2021        PMID: 34859337      PMCID: PMC9415324          DOI: 10.1007/s40262-021-01093-z

Source DB:  PubMed          Journal:  Clin Pharmacokinet        ISSN: 0312-5963            Impact factor:   5.577


  38 in total

1.  Ways to fit a PK model with some data below the quantification limit.

Authors:  S L Beal
Journal:  J Pharmacokinet Pharmacodyn       Date:  2001-10       Impact factor: 2.745

2.  Comparison of 1-day vs 2-day dosing of high-dose melphalan followed by autologous hematopoietic cell transplantation in patients with multiple myeloma.

Authors:  S R Parmar; R Bookout; J F Shapiro; R Tombleson; J Perkins; J Kim; B Yue; M Tomblyn; M Alsina; T Nishihori
Journal:  Bone Marrow Transplant       Date:  2014-03-24       Impact factor: 5.483

3.  Quantification of lean bodyweight.

Authors:  Sarayut Janmahasatian; Stephen B Duffull; Susan Ash; Leigh C Ward; Nuala M Byrne; Bruce Green
Journal:  Clin Pharmacokinet       Date:  2005       Impact factor: 6.447

4.  Fludarabine exposure in the conditioning prior to allogeneic hematopoietic cell transplantation predicts outcomes.

Authors:  J B Langenhorst; C van Kesteren; E M van Maarseveen; T P C Dorlo; S Nierkens; C A Lindemans; M A de Witte; A van Rhenen; R Raijmakers; M Bierings; J Kuball; A D R Huitema; J J Boelens
Journal:  Blood Adv       Date:  2019-07-23

5.  Population pharmacokinetics of melphalan in paediatric blood or marrow transplant recipients.

Authors:  Christa E Nath; Peter J Shaw; Kay Montgomery; John W Earl
Journal:  Br J Clin Pharmacol       Date:  2007-02-23       Impact factor: 4.335

6.  Measurement of the DNA alkylating agents busulfan and melphalan in human plasma by mass spectrometry.

Authors:  Ryan C Schofield; Heather J Landau; Sergio A Giralt; Gunjan L Shah; Michael Scordo; Andrew Lin; Elaine Zanutto; Lakshmi V Ramanathan; Melissa S Pessin; Dean C Carlow
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2019-07-04       Impact factor: 3.205

Review 7.  What is the best size descriptor to use for pharmacokinetic studies in the obese?

Authors:  Bruce Green; Stephen B Duffull
Journal:  Br J Clin Pharmacol       Date:  2004-08       Impact factor: 4.335

8.  Kinetics of intravenous melphalan.

Authors:  D S Alberts; S Y Chang; H S Chen; T E Moon; T L Evans; R L Furner; K Himmelstein; J F Gross
Journal:  Clin Pharmacol Ther       Date:  1979-07       Impact factor: 6.875

9.  A new equation to estimate glomerular filtration rate.

Authors:  Andrew S Levey; Lesley A Stevens; Christopher H Schmid; Yaping Lucy Zhang; Alejandro F Castro; Harold I Feldman; John W Kusek; Paul Eggers; Frederick Van Lente; Tom Greene; Josef Coresh
Journal:  Ann Intern Med       Date:  2009-05-05       Impact factor: 25.391

Review 10.  Isolated limb perfusion with melphalan and TNF-alpha in the treatment of extremity sarcoma.

Authors:  Cornelis Verhoef; Johannes H W de Wilt; Dirk J Grünhagen; Albertus N van Geel; Timo L M ten Hagen; Alexander M M Eggermont
Journal:  Curr Treat Options Oncol       Date:  2007-12-08
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  1 in total

1.  Evaluation of Melphalan Exposure in Lymphoma Patients Undergoing BEAM and Autologous Hematopoietic Cell Transplantation.

Authors:  Parastoo B Dahi; Andrew Lin; Michael Scordo; Jessica R Flynn; Sean M Devlin; Josel D Ruiz; Lauren DeRespiris; Dean Carlow; Christina Cho; Oscar B Lahoud; Miguel-Angel Perales; Craig S Sauter; Jan Jaap Boelens; Rick Admiraal; Sergio A Giralt; Gunjan L Shah
Journal:  Transplant Cell Ther       Date:  2022-05-08
  1 in total

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