Evidence map›Paper›PMID 22974563›Full record

ArticleJournal of theoretical biology2012

A mechanistic compartmental model for total antibody uptake in tumors.

Greg M Thurber, K Dane Wittrup

Abstract read
In one paragraph

Article in Journal of theoretical biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed
–field-weighted citation impact
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

70 citing papers in PubMed.

  1. Re-Thinking Pharmacokinetics in Ovarian Cancer: What Do Organoids Add?International journal of molecular sciences · 2026
    Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Non-specific irreversibleEJNMMI research · 2024
    Article
  15. Advances and challenges in immunoPET methodology.Frontiers in nuclear medicine · 2024
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

10 more citing papers are in PubMed but not listed here.

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

2 authors.

Greg M ThurberDept. Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. gthurber@alum.mit.edu
K Dane Wittrup

Funding

Foundations of Pretargeted RadioimmunotherapyR01CA101830 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI WITTRUP, KARL DANE · 2005 to 2014
$2.7M
Whole Body Imaging of Beta Cell Mass in DiabetesK01DK093766 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI THURBER, GREG · 2011 to 2014
$641k
NCI NIH HHS CA101830NCI NIH HHS R01 CA101830NIDDK NIH HHS K01 DK093766
6 · The paper itself

Abstract

Antibodies are under development to treat a variety of cancers, such as lymphomas, colon, and breast cancer. A major limitation to greater efficacy for this class of drugs is poor distribution in vivo. Localization of antibodies occurs slowly, often in insufficient therapeutic amounts, and distributes heterogeneously throughout the tumor. While the microdistribution around individual vessels is important for many therapies, the total amount of antibody localized in the tumor is paramount for many applications such as imaging, determining the therapeutic index with antibody drug conjugates, and dosing in radioimmunotherapy. With imaging and pretargeted therapeutic strategies, the time course of uptake is critical in determining when to take an image or deliver a secondary reagent. We present here a simple mechanistic model of antibody uptake and retention that captures the major rates that determine the time course of antibody concentration within a tumor including dose, affinity, plasma clearance, target expression, internalization, permeability, and vascularization. Since many of the parameters are known or can be estimated in vitro, this model can approximate the time course of antibody concentration in tumors to aid in experimental design, data interpretation, and strategies to improve localization.

Indexed as

Cell CompartmentationModels, BiologicalAnimalsAntibodies, NeoplasmComputer SimulationHumansImmunoglobulin GMiceNeoplasmsReproducibility of ResultsSingle-Chain AntibodiesTime FactorsXenograft Model Antitumor AssaysAntibodies, NeoplasmImmunoglobulin GSingle-Chain Antibodies

Identifiers

PMID22974563
PMCPMC3729444

What OpenQuestion holds

Textmetadata
LicenceTDM
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.