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Optimizing anticancer pharmacotherapy in kidney disease: Estimation of kidney function and evaluation of heterogeneous kinase inhibitor pharmacokinetics

Butrovich, Morgan Alexandra (2024) Optimizing anticancer pharmacotherapy in kidney disease: Estimation of kidney function and evaluation of heterogeneous kinase inhibitor pharmacokinetics. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

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Abstract

Kidney disease is common in cancer patients, with almost 20% of all solid tumor patients having an estimated glomerular filtration rate (GFR; eGFR) <60 mL/min. Kidney function is an essential consideration for determining anticancer pharmacotherapy, including drug selection and dosing. The overarching goals of this dissertation were to: 1) evaluate the impact of utilizing different GFR-estimation equations on anticancer drug dosing and selection; and 2) investigate the mechanism for the altered pharmacokinetics (PK) of some, but not all, kinase inhibitors observed in patients with kidney disease.

A landscape analysis of all anticancer drugs FDA-approved 2015–2019 revealed that patients with kidney disease continue to be excluded from clinical drug development, thereby limiting available data detailing potential changes to anticancer drug PK and subsequent needs for dose adjustments in patients with kidney disease (CHAPTER 2). Retrospective analyses of 4118 cancer clinical trial patients demonstrated that using GFR-estimating equations that omit race may paradoxically worsen care for Black cancer patients by deeming fewer patients eligible for full-doses of anticancer drugs as compared to their non-Black counterparts (CHAPTER 3 and CHAPTER 4). A landscape analysis of the kinase inhibitors, a highly utilized therapeutic class of anticancer drugs, demonstrated that despite common PK characteristics across the class (CYP3A4 and P-gp substrates), PK in patients with kidney disease is heterogeneous (CHAPTER 5). We hypothesized that this is due to differential hepatic uptake and utilized physiologically-based pharmacokinetic (PBPK) modeling to evaluate the mechanism using two probe kinase inhibitors, sunitinib and crizotinib (CHAPTER 8). The PBPK model was informed by in silico evaluations of clinical PK of CYP3A4 (saxagliptin) and P-gp/OATP (fexofenadine) probe drugs, which indicated that CYP3A4 activity does not appreciably change in kidney disease (CHAPTER 6), but
hepatic and intestinal OATP activity is decreased by approximately 20–60% (CHAPTER 7).

Collectively, this work advances our knowledge of the implications of utilizing different GFR-estimating equations on clinical oncology practice and the mechanistic rationale for heterogeneous kinase inhibitor PK in individuals with kidney disease. The findings can be used to facilitate future work to improve kidney function estimation and dosing of kinase inhibitors in this patient population.


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Details

Item Type: University of Pittsburgh ETD
Status: Unpublished
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Butrovich, Morgan Alexandrabutro.ma@pitt.edumac324
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairNolin, Thomas Dnolin@pitt.edu
Committee CoChairBeumer, Jan HJan.Beumer@jhu.edu
Committee MemberVenkataramanan, Ramanrv@pitt.edu
Committee MemberWang, JunmeiJUW79@pitt.edu
Committee MemberZandberg, Danielzandbergdp@upmc.edu
Date: 10 December 2024
Date Type: Publication
Defense Date: 23 August 2024
Approval Date: 10 December 2024
Submission Date: 2 December 2024
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Number of Pages: 334
Institution: University of Pittsburgh
Schools and Programs: School of Pharmacy > Pharmaceutical Sciences
Degree: PhD - Doctor of Philosophy
Thesis Type: Doctoral Dissertation
Refereed: Yes
Uncontrolled Keywords: onconephrology, kidney function, glomerular filtration rate, kinase inhibitor, pharmacokinetics, transporter, metabolism, health equity
Date Deposited: 10 Dec 2024 18:12
Last Modified: 10 Dec 2024 18:12
URI: http://d-scholarship.pitt.edu/id/eprint/47153

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