1
|
Takahashi T, Jaber MM, Brown SJ, Al-Kofahi M. Population Pharmacokinetic Model of Intravenous Busulfan in Hematopoietic Cell Transplantation: Systematic Review and Comparative Simulations. Clin Pharmacokinet 2023; 62:955-968. [PMID: 37415003 DOI: 10.1007/s40262-023-01275-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/04/2023] [Indexed: 07/08/2023]
Abstract
BACKGROUND Busulfan is commonly used in the chemotherapy prior to hematopoietic cell transplantation (HCT). Busulfan has a narrow therapeutic window and a well-established exposure-response relationship with important clinical outcomes. Model-informed precision dosing (MIPD) based on population pharmacokinetic (popPK) models has been implemented in the clinical settings. We aimed to systematically review existing literature on popPK models of intravenous busulfan. METHODS We systematically searched Ovid MEDLINE, EMBASE, Cochrane Library, Scopus, and Web of Science databases from inception to December 2022 to identify original popPK models (nonlinear mixed-effect modeling) of intravenous busulfan in HCT population. Model-predicted busulfan clearance (CL) was compared using US population data. RESULTS Of the 44 eligible popPK studies published since 2002, 68% were developed predominantly in children, 20% in adults, and 11% in both children and adults. The majority of the models were described using first-order elimination or time-varying CL (69% and 26%, respectively). All but three included a body-size descriptor (e.g., body weight, body surface area). Other commonly included covariates were age (30%) and GSTA1 variant (15%). Median between-subject and between-occasion variabilities of CL were 20% and 11%, respectively. Between-model variabilities in predicted median CL were < 20% in all of the weight tiers (10-110 kg) in the simulation based on US population data. CONCLUSION Busulfan PK is commonly described using a first-order elimination or time-varying CL. A simple model with limited covariates were generally sufficient to attain relatively small unexplained variabilities. However, therapeutic drug monitoring may still be necessary to attain a narrow target exposure.
Collapse
Affiliation(s)
- Takuto Takahashi
- Division of Stem Cell Transplantation, Department of Pediatrics, Boston Children's Hospital/Dana-Farber Cancer Institute, Boston, MA, USA.
- Experimental and Clinical Pharmacology, University of Minnesota College of Pharmacy, Minneapolis, MN, USA.
| | - Mutaz M Jaber
- Experimental and Clinical Pharmacology, University of Minnesota College of Pharmacy, Minneapolis, MN, USA
- Gilead Sciences, Inc., Foster City, CA, USA
| | - Sarah J Brown
- Health Sciences Library, University of Minnesota, Minneapolis, MN, USA
| | - Mahmoud Al-Kofahi
- Experimental and Clinical Pharmacology, University of Minnesota College of Pharmacy, Minneapolis, MN, USA
- Gilead Sciences, Inc., Foster City, CA, USA
| |
Collapse
|
2
|
Huang H, Liu Q, Zhang X, Xie H, Liu M, Chaphekar N, Wu X. External Evaluation of Population Pharmacokinetic Models of Busulfan in Chinese Adult Hematopoietic Stem Cell Transplantation Recipients. Front Pharmacol 2022; 13:835037. [PMID: 35873594 PMCID: PMC9300831 DOI: 10.3389/fphar.2022.835037] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 05/17/2022] [Indexed: 11/30/2022] Open
Abstract
Objective: Busulfan (BU) is a bi-functional DNA-alkylating agent used in patients undergoing hematopoietic stem cell transplantation (HSCT). Over the last decades, several population pharmacokinetic (pop PK) models of BU have been established, but external evaluation has not been performed for almost all models. The purpose of the study was to evaluate the predictive performance of published pop PK models of intravenous BU in adults using an independent dataset from Chinese HSCT patients, and to identify the best model to guide personalized dosing. Methods: The external evaluation methods included prediction-based diagnostics, simulation-based diagnostics, and Bayesian forecasting. In prediction-based diagnostics, the relative prediction error (PE%) was calculated by comparing the population predicted concentration (PRED) with the observations. Simulation-based diagnostics included the prediction- and variability-corrected visual predictive check (pvcVPC) and the normalized prediction distribution error (NPDE). Bayesian forecasting was executed by giving prior one to four observations. The factors influencing the model predictability, including the impact of structural models, were assessed. Results: A total of 440 concentrations (110 patients) were obtained for analysis. Based on prediction-based diagnostics and Bayesian forecasting, preferable predictive performance was observed in the model developed by Huang et al. The median PE% was -1.44% which was closest to 0, and the maximum F20 of 57.27% and F30 of 72.73% were achieved. Bayesian forecasting demonstrated that prior concentrations remarkably improved the prediction precision and accuracy of all models, even with only one prior concentration. Conclusion: This is the first study to comprehensively evaluate published pop PK models of BU. The model built by Huang et al. had satisfactory predictive performance, which can be used to guide individualized dosage adjustment of BU in Chinese patients.
Collapse
Affiliation(s)
- Huiping Huang
- Department of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, China
- School of Pharmacy, Fujian Medical University, Fuzhou, China
| | - Qingxia Liu
- Department of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, China
- School of Pharmacy, Fujian Medical University, Fuzhou, China
| | - Xiaohan Zhang
- College of Arts and Sciences, University of Virginia, Charlottesville, VA, United States
| | - Helin Xie
- Department of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, China
| | - Maobai Liu
- Department of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, China
- *Correspondence: Xuemei Wu, ; Maobai Liu,
| | - Nupur Chaphekar
- Department of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA, United States
| | - Xuemei Wu
- Department of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, China
- *Correspondence: Xuemei Wu, ; Maobai Liu,
| |
Collapse
|
3
|
Du X, Huang C, Xue L, Jiao Z, Zhu M, Li J, Lu J, Xiao P, Zhou X, Mao C, Zhu Z, Dong J, Liu X, Chen Z, Zhang S, Ding Y, Hu S, Miao L. The Correlation Between Busulfan Exposure and Clinical Outcomes in Chinese Pediatric Patients: A Population Pharmacokinetic Study. Front Pharmacol 2022; 13:905879. [PMID: 35784763 PMCID: PMC9243314 DOI: 10.3389/fphar.2022.905879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 05/31/2022] [Indexed: 11/21/2022] Open
Abstract
Aims: The aims of the study were to 1) establish a population pharmacokinetic (Pop-PK) model for busulfan in Chinese pediatric patients undergoing hematopoietic stem cell transplantation (HSCT) and then estimate busulfan exposure and 2) explore the association between busulfan exposure and clinical outcomes. Methods: A total of 128 patients with 467 busulfan concentrations were obtained for Pop-PK modeling using nonlinear mixed effect model (NONMEM) software. Sixty-three patients who received the 16-dose busulfan conditioning regimen were enrolled to explore the correlations between clinical outcomes and the busulfan area under the concentration–time curve (AUC) using the Cox proportional hazards regression model, Kaplan–Meier method and logistic regression. Results: The typical values for clearance (CL) and distribution volume (V) of busulfan were 7.71 L h−1 and 42.4 L, respectively. The allometric normal fat mass (NFM) and maturation function (Fmat) can be used to describe the variability in CL, and the fat-free mass (FFM) can be used to describe the variability in V. Patients with AUCs of 950–1,600 µM × min had 83.7% (95% CI: 73.3–95.5) event-free survival (EFS) compared with 55.0% (95% CI: 37.0–81.8) for patients with low or high exposure (p = 0.024). The logistic regression analysis results showed no association between transplant-related toxicities and the busulfan AUC (p > 0.05). Conclusions: The variability in busulfan CL was related to the NFM and Fmat, while busulfan V was related to the FFM. Preliminary analysis results suggested that a busulfan AUC of 950–1,600 µM × min was associated with better EFS in children receiving the 16-dose busulfan regimen.
Collapse
Affiliation(s)
- Xiaohuan Du
- Department of Pharmacy, The First Affiliated Hospital of Soochow University, Suzhou, China
- Department of Pharmacy, The Children’s Hospital of Soochow University, Suzhou, China
| | - Chenrong Huang
- Department of Pharmacy, The First Affiliated Hospital of Soochow University, Suzhou, China
- Institute for Interdisciplinary Drug Research and Translational Sciences, College of Pharmaceutical Science, Soochow University, Suzhou, China
| | - Ling Xue
- Department of Pharmacy, The First Affiliated Hospital of Soochow University, Suzhou, China
- Department of Pharmacology, University of the Basque Country (UPV/EHU), Leioa, Spain
| | - Zheng Jiao
- Department of Pharmacy, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Min Zhu
- Department of Pharmacy, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Jie Li
- Department of Hematology and Oncology, The Children’s Hospital of Soochow University, Suzhou, China
| | - Jun Lu
- Department of Hematology and Oncology, The Children’s Hospital of Soochow University, Suzhou, China
| | - Peifang Xiao
- Department of Hematology and Oncology, The Children’s Hospital of Soochow University, Suzhou, China
| | - Xuemei Zhou
- Department of Hematology and Oncology, The Children’s Hospital of Soochow University, Suzhou, China
| | - Chenmei Mao
- Department of Pharmacy, The Children’s Hospital of Soochow University, Suzhou, China
| | - Zengyan Zhu
- Department of Pharmacy, The Children’s Hospital of Soochow University, Suzhou, China
| | - Ji Dong
- Department of Pharmacy, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Xiaoxue Liu
- Department of Pharmacy, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Zhiyao Chen
- Department of Pharmacy, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Shichao Zhang
- Department of Pharmacy, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Yiduo Ding
- Department of Pharmacy, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Shaoyan Hu
- Department of Hematology and Oncology, The Children’s Hospital of Soochow University, Suzhou, China
- *Correspondence: Liyan Miao, ; Shaoyan Hu,
| | - Liyan Miao
- Department of Pharmacy, The First Affiliated Hospital of Soochow University, Suzhou, China
- Institute for Interdisciplinary Drug Research and Translational Sciences, College of Pharmaceutical Science, Soochow University, Suzhou, China
- National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, China
- *Correspondence: Liyan Miao, ; Shaoyan Hu,
| |
Collapse
|
4
|
Huang J, Hao C, Li Z, Wang L, Jiang J, Tang W, Wang L, Zhang W, Hu J, Yang W. NRF2 -617 C/A Polymorphism Impacts Proinflammatory Cytokine Levels, Survival, and Transplant-Related Mortality After Hematopoietic Stem Cell Transplantation in Adult Patients Receiving Busulfan-Based Conditioning Regimens. Front Pharmacol 2021; 11:563321. [PMID: 33384597 PMCID: PMC7770105 DOI: 10.3389/fphar.2020.563321] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Accepted: 10/15/2020] [Indexed: 12/02/2022] Open
Abstract
Busulfan (BU) is widely used in conditioning regimens prior to hematopoietic stem cell transplantation (HSCT). The exposure-escalated BU directed by therapeutic drug monitoring (TDM) is extremely necessary for the patients with high-risk hematologic malignancies in order to diminish relapse, but it increases the risk of drug-induced toxicity. BU exposure, involved in the glutathione- (GSH-) glutathione S-transferases (GSTs) pathway and proinflammatory response, is associated with clinical outcomes after HSCT. However, the expression of genes in the GSH-GSTs pathway is regulated by NF-E2-related factor 2 (Nrf2) that can also alleviate inflammation. In this study, we evaluated the influence of NRF2 polymorphisms on BU exposure, proinflammatory cytokine levels, and clinical outcomes in HSCT patients. A total of 87 Chinese adult patients receiving twice-daily intravenous BU were enrolled. Compared with the patients carrying wild genotypes, those with NRF2 -617 CA/AA genotypes showed higher plasma interleukin (IL)-6, IL-8 and tumor necrosis factor (TNF)-α levels, poorer overall survival (OS; RR = 3.91), and increased transplant-related mortality (TRM; HR = 4.17). High BU exposure [area under the concentration-time curve (AUC) > 9.27 mg/L × h)] was related to BU toxicities. Furthermore, NRF2 -617 CA/AA genotypes could significantly impact TRM (HR = 4.04; p = 0.0142) and OS (HR = 3.69; p = 0.0272) in the patients with high BU AUC. In vitro, we found that high exposure of endothelial cell (EC) to BU, in the absence of Nrf2, elicited the hyperstimulation of NF-κB-p65, accompanied with the elevated secretion of proinflammatory cytokines, and led to EC death. These results showed that NRF2 -617 CA/AA genotypes, correlated with high proinflammatory cytokine levels, could predict inferior outcomes in HSCT patients with high BU AUC. Thus, NRF2 -617 CA/AA genotyping combined with TDM would further optimize personalized BU dosing for sufficient efficacy and safety endpoint.
Collapse
Affiliation(s)
- Jingjing Huang
- Department of Pharmacy, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chenxia Hao
- Department of Pharmacy, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ziwei Li
- Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ling Wang
- Department of Hematology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jieling Jiang
- Department of Hematology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wei Tang
- Department of Hematology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lining Wang
- Department of Hematology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weixia Zhang
- Department of Pharmacy, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiong Hu
- Department of Hematology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wanhua Yang
- Department of Pharmacy, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| |
Collapse
|
5
|
Sun Y, Huang J, Hao C, Li Z, Liang W, Zhang W, Chen B, Yang W, Hu J. Population pharmacokinetic analysis of intravenous busulfan: GSTA1 genotype is not a predictive factor of initial dose in Chinese adult patients undergoing hematopoietic stem cell transplantation. Cancer Chemother Pharmacol 2019; 85:293-308. [PMID: 31834435 DOI: 10.1007/s00280-019-04001-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2019] [Accepted: 11/22/2019] [Indexed: 12/13/2022]
Abstract
PURPOSE This study aimed to develop a population pharmacokinetic (PPK) model to investigate the impact of GSTA1, GSTP1, and GSTM1 genotypes on busulfan pharmacokinetic (PK) variability in Chinese adult patients. METHODS Forty-three and 19 adult patients who underwent hematopoietic stem cell transplantation (HSCT) were enrolled for modeling group and validation group, respectively. All patients received twice-daily intravenous busulfan as part of conditioning regimen before HSCT. The PPK model was developed by nonlinear mixed-effect modeling. Covariates investigated were age, sex, actual body weight, body surface area, diagnoses, hepatic function markers, GST genotypes and conditioning regimen. RESULTS A total of 488 busulfan concentrations from 43 patients were obtained for the PPK model. The PK of intravenous busulfan was described by one-compartment model with first-order elimination with estimated clearance (CL) of 14.2 L/h and volume of distribution of 64.1 L. Inclusion of GSTA1 genotype as a covariate accounted for 1.1% of the inter-individual variability of busulfan CL (from 17.8% in the basic model to 16.7% in the final model). The accuracy and applicability of the final model were externally validated in the independent group. The difference of busulfan PK between Chinese patients and Caucasian patients existed because of the rarity of haplotype *B in Chinese population. CONCLUSIONS Although the GSTA1 genotype-based PPK model of intravenous busulfan was successfully developed and externally validated, the GSTA1 genotype was not considered to be clinically relevant to busulfan CL. We did not suggest the guidance of GSTA1 genotype on initial busulfan dose in Chinese adult patients.
Collapse
Affiliation(s)
- Yidan Sun
- Department of Bone Marrow Transplantation, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijin Er Road, Shanghai, 20025, China
| | - Jingjing Huang
- Department of Pharmacy, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Chenxia Hao
- Department of Pharmacy, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Ziwei Li
- Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Wu Liang
- NeoTrident Co. Ltd., Beijing, China
| | - Weixia Zhang
- Department of Pharmacy, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Bing Chen
- Department of Pharmacy, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Wanhua Yang
- Department of Pharmacy, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jiong Hu
- Department of Bone Marrow Transplantation, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijin Er Road, Shanghai, 20025, China.
| |
Collapse
|