ArticleCancer chemotherapy and pharmacology2025
Population pharmacokinetic analysis of bevacizumab in Japanese cancer patients with proteinuria: a prospective cohort study.
Article in Cancer chemotherapy and pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Onco-nephrology in clinical practice: pharmacokinetics, monitoring, and treatment strategies for patients with cancer and impaired renal function.International journal of clinical oncology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
19 authors.
Funding
Abstract
purposeBevacizumab (BV) is an effective therapeutic antibody utilized in various cancers. Serum BV concentration can be a factor that potentially affects its therapeutic efficacy. Although proteinuria could affect BV pharmacokinetics, its influence was not evaluated in the previous population pharmacokinetic (PopPK) studies. Because BV can cause proteinuria as an adverse event, the present study aimed to develop a PopPK model in patients with proteinuria and to evaluate the influence of proteinuria on BV pharmacokinetics.
methodsThis prospective cohort study enrolled 70 Japanese cancer patients newly starting BV, and 368 concentration samples from these patients were analyzed. Serum BV concentrations were measured at several time points including at the onset of proteinuria. PopPK analysis was conducted using a non-linear mixed-effects modeling program. A two-compartment model was used to estimate total body clearance (CL).
resultsSerum BV concentrations divided by the dose per body weight and dosing interval tended to be lower in patients with higher urinary protein to creatinine ratio (UPCR). The covariate analysis showed that increasing BV CL was associated with decreasing serum albumin concentration and increasing body weight and UPCR. The simulated median trough concentrations of BV in patients with Common Terminology Criteria for Adverse Events grades 1, 2, and 3 proteinuria were decreased by 12.0%, 20.6%, and 31.5%, respectively, compared to those in patients with grade 0.
conclusionWe successfully established a PopPK model incorporating UPCR to predict serum BV concentrations in patients with proteinuria. Our study provides additional insights to better understand BV pharmacokinetics.
Indexed as
Identifiers
40116970What OpenQuestion holds
Registered trials
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.