Evidence map›Paper›PMID 41530705›Full record

ArticleBMC cancer2026

Optimizing ribociclib dosing in breast cancer with brain metastasis patients using a physiologically based pharmacokinetic model.

Chao Zhang, Shan Li, Jiawei Ren, Xiaohui Wen

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In one paragraph

Article in BMC cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Chao ZhangBeijing Chao-yang Hospital, 8th Gongti South Road, Chaoyang District, Beijing, 100020, China.
Shan LiBeijing Chao-yang Hospital, 8th Gongti South Road, Chaoyang District, Beijing, 100020, China.
Jiawei RenNorth China Electric Power University, No.2, Beinong Road, Huilongguan, Changping District, Beijing, 102206, China.
Xiaohui WenBeijing Chao-yang Hospital, 8th Gongti South Road, Chaoyang District, Beijing, 100020, China. wenxh1262025@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to determine the optimal dosing strategy for ribociclib (RIB) in patients with breast cancer and brain metastasis (BCBM) by using a developed and validated physiologically based pharmacokinetic (PBPK) model.

methodsA population PBPK model for RIB was established by integrating its physicochemical properties, pharmacokinetic (PK) data, cyclin-dependent kinase 4/6 (CDK4/6) occupancy profiles, and the physiological characteristics of the BCBM population. The predictive performance of the PBPK model was verified against data from two clinical plasma PK studies and two cerebrospinal fluid (CSF) PK studies.

resultsThe PBPK model demonstrated concordance with observed clinical data. All predicted-to-observed ratios for plasma AUC, Cmax, Cmin, and RIB concentrations in CSF fell within the acceptable 2-fold range (0.5–2.0), with only one exception of 0.43. Furthermore, the model predicted the CSF-to-plasma unbound concentration ratio (Kp, uu), with values closely aligning with clinical observations (400 mg: predicted 0.99 vs. observed 1.22; 600 mg: predicted 1.03 vs. observed 1.29; 900 mg: predicted 1.10 vs. mean observed 1.63). The PBPK model identified CYP3A4/FMO3 (Flavin-containing monooxygenase 3) concentrations, ABCB1 expression, and plasma albumin levels as key physiological parameters governing intracranial Cmin and CDK4/6 occupancy. Based on these simulations, a regimen of 300 mg twice daily (BID) was identified as the optimal dosing strategy for RIB in BCBM patients, with > 90% mean intracranial CDK4/6 occupancy and safety mean Cmin threshold.

conclusionThis study successfully developed and applied a population PBPK model to simulate the PK and pharmacodynamic profiles of RIB. The model proved to be a robust tool for identifying a rational, optimized dosing regimen specifically for BCBM patients.

Indexed as

AminopyridinesAntineoplastic AgentsBrain NeoplasmsBreast NeoplasmsModels, BiologicalPurinesAdultAgedCyclin-Dependent Kinase 4Cyclin-Dependent Kinase 6FemaleHumansMiddle AgedAminopyridinesAntineoplastic AgentsCDK4 protein, humanCDK6 protein, humanCyclin-Dependent Kinase 4Cyclin-Dependent Kinase 6PurinesribociclibBrain metastasesCDK4/6 occupancyDose optimizationPopulation PBPK modelingRibociclib

Identifiers

PMID41530705
PMCPMC12888661

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.