Evidence map›Paper›PMID 27329360›Full record

ArticleCancer chemotherapy and pharmacology2016

Population pharmacokinetics of bevacizumab in cancer patients with external validation.

Kelong Han, Thomas Peyret, Mathilde Marchand, Angelica Quartino, Nathalie H Gosselin, Sandhya Girish, David E Allison, Jin Jin

Open access · hybridAbstract readValidation Study
In one paragraph

Article in Cancer chemotherapy and pharmacology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 9% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

46 citing papers in PubMed, 1 synthesis or guideline pooled it, 71 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Population Pharmacokinetic Comparability of CT-P16 Versus EU-AvastinBioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2026
    Article
  6. Impact of intravitreal bevacizumab on immune cells in neovascular age related macular degeneration.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026
    Article
  7. Biological sex differences in pharmacokinetics and adverse drug reactions.Naunyn-Schmiedeberg's archives of pharmacology · 2026
    Review
  8. Article
  9. Article
  10. Article
  11. Riluzole in Combination with mFOLFOX6 and Bevacizumab in Treating Patients with Metastatic Colorectal Cancer: A Phase I Clinical Trial.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Article
  12. Article
  13. Article
  14. Advances in Recurrent Respiratory Papillomatosis Treatment: Adjuvant Intralesional Bevacizumab's Impact, Potential and Insights from a Case Series Study.Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India · 2024
    Article
  15. Review
  16. Antibody Drug Clearance: An Underexplored Marker of Outcomes with Checkpoint Inhibitors.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
    Review
  17. Article
  18. Article
  19. Article
  20. [Sex-specific differences of special tumor diseases].Innere Medizin (Heidelberg, Germany) · 2023
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 3 countries.

Kelong HanClinical Pharmacology, Genentech Inc, 1 DNA Way, South San Francisco, CA, 94080, USA. kelong.x.han@gsk.com.
Thomas PeyretPharsight Consulting Services, Montreal, QC, Canada.
Mathilde MarchandPharsight Consulting Services, Marseille, France.
Angelica QuartinoClinical Pharmacology, Genentech Inc, 1 DNA Way, South San Francisco, CA, 94080, USA.
Nathalie H GosselinPharsight Consulting Services, Montreal, QC, Canada.
Sandhya GirishClinical Pharmacology, Genentech Inc, 1 DNA Way, South San Francisco, CA, 94080, USA.
David E AllisonClinical Pharmacology, Genentech Inc, 1 DNA Way, South San Francisco, CA, 94080, USA.
Jin JinClinical Pharmacology, Genentech Inc, 1 DNA Way, South San Francisco, CA, 94080, USA. jin.jin@gene.com.
Genesys (United States) · USGlaxoSmithKline (United Kingdom) · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBevacizumab is approved for various cancers. This analysis aimed to comprehensively evaluate bevacizumab pharmacokinetics and the influence of patient variables on bevacizumab pharmacokinetics.

methodsRich and sparse bevacizumab serum concentrations were collected from Phase I through IV studies in early and metastatic cancers. Bevacizumab was given intravenously as single agent or in combination with chemotherapy for single- and multiple-dose schedules.

resultsModel-building used 8943 bevacizumab concentrations from 1792 patients with colon/colorectal, non-small cell lung, kidney, pancreatic, breast, prostate and brain cancer. Bevacizumab doses ranged from 1 to 20 mg/kg given once every 1, 2 or 3 weeks. A two-compartment model best described the data. The population estimates of clearance (CL), central volume of distribution (V1) and half-life for a typical 70-kg patient were 9.01 mL/h, 2.88 L and 19.6 days. CL and V1 increased with body weight and were higher in males than females by 14 and 18 %, respectively. CL decreased with increasing albumin and decreasing alkaline phosphatase. The final model was externally validated using 1670 concentrations from 146 Japanese patients that were not used for model-building. Mean prediction errors were -2.1, 3.1 and 1.0 % for concentrations, CL and V1, respectively, confirming adequate predictive performance.

conclusionsA robust bevacizumab pharmacokinetic model was developed and externally validated, which may be used to simulate bevacizumab exposure to optimize dosing strategies. Asian and non-Asian patients exhibited similar bevacizumab pharmacokinetics. Given the similarity in pharmacokinetics among monoclonal antibodies, this may inform pharmacokinetic studies in different ethnic groups for other therapeutic antibodies.

Indexed as

Models, BiologicalAdultAngiogenesis InhibitorsAsian PeopleBevacizumabClinical Trials, Phase I as TopicClinical Trials, Phase II as TopicClinical Trials, Phase III as TopicClinical Trials, Phase IV as TopicDose-Response Relationship, DrugDrug Administration ScheduleFemaleHalf-LifeHumansMaleNeoplasmsAngiogenesis InhibitorsBevacizumabAdultAsianBevacizumabCancerExternal validationJapanPopulation pharmacokinetics

Identifiers

PMID27329360
PMCPMC4965493
OpenAlexW2473579579

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.