Evidence map›Paper›PMID 26783500›Full record

ArticleCPT: pharmacometrics & systems pharmacology2015

Pharmacokinetics of Anti-VEGF Agent Aflibercept in Cancer Predicted by Data-Driven, Molecular-Detailed Model.

S D Finley, P Angelikopoulos, P Koumoutsakos, A S Popel

Open access · goldAbstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.0field-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

13 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Synthetic living materials in cancer biology.Nature reviews bioengineering · 2023
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. The impact of tumor receptor heterogeneity on the response to anti-angiogenic cancer treatment.Integrative biology : quantitative biosciences from nano to macro · 2018
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
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

4 authors at 3 institutions in 2 countries.

S D FinleyDepartment of Biomedical Engineering University of Southern California Los Angeles California USA.
P AngelikopoulosComputational Science and Engineering Laboratory, Department of Mechanical and Process Engineering, ETH Zurich Switzerland.
P KoumoutsakosComputational Science and Engineering Laboratory, Department of Mechanical and Process Engineering, ETH Zurich Switzerland.
A S PopelDepartment of Biomedical Engineering Johns Hopkins University School of Medicine Baltimore Maryland USA.
ETH Zurich · CHJohns Hopkins University · USUniversity of Southern California · US

Funding

Predictive experiment-based multiscale models of the tumor immune microenvironment and immunotherapy in breast cancerR01CA138264 · NCI · JOHNS HOPKINS UNIVERSITY · PI POPEL, ALEKSANDER S. · 2009 to 2023
$8.1M
Predictive model of pro- and anti-angiogenic factors involved in breast cancerF32CA154213 · NCI · JOHNS HOPKINS UNIVERSITY · PI FINLEY, STACEY DELERIA · 2010 to 2012
$121k
NCI NIH HHS F32 CA154213NCI NIH HHS R01 CA138264
6 · The paper itself

Abstract

Mathematical models can support the drug development process by predicting the pharmacokinetic (PK) properties of the drug and optimal dosing regimens. We have developed a pharmacokinetic model that includes a biochemical molecular interaction network linked to a whole-body compartment model. We applied the model to study the PK of the anti-vascular endothelial growth factor (VEGF) cancer therapeutic agent, aflibercept. Clinical data is used to infer model parameters using a Bayesian approach, enabling a quantitative estimation of the contributions of specific transport processes and molecular interactions of the drug that cannot be examined in other PK modeling, and insight into the mechanisms of aflibercept's antiangiogenic action. Additionally, we predict the plasma and tissue concentrations of unbound and VEGF-bound aflibercept. Thus, we present a computational framework that can serve as a valuable tool for drug development efforts.

Identifiers

PMID26783500
PMCPMC4716581
OpenAlexW1935150201

What OpenQuestion holds

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LicenceCC BY-NC
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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.