Evidence map›Paper›PMID 17040992›Full record

ArticleBiophysical journal2007

A mathematical model of glioblastoma tumor spheroid invasion in a three-dimensional in vitro experiment.

Andrew M Stein, Tim Demuth, David Mobley, Michael Berens, Leonard M Sander

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers.

0numbers the graph read from it
0cells of the map it votes in
103citing papers in PubMed
7.2field-weighted citation impact, top 2% 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

103 citing papers in PubMed, 243 citations in OpenAlex.

  1. Article
  2. Go-or-grow models in biology: a monster on a leash.Journal of mathematical biology · 2025
    Review
  3. Article
  4. Article
  5. Tissue stresses caused by invasive tumour: a biomechanical model.Journal of the Royal Society, Interface · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Traveling wave speed and profile of a "go or grow" glioblastoma multiforme model.Communications in nonlinear science & numerical simulation · 2023
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

43 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

5 authors at 3 institutions in 1 country.

Andrew M SteinDepartment of Mathematics, University of Michigan, Ann Arbor, Michigan 48109, USA. amstein@umich.edu
Tim Demuth
David Mobley
Michael Berens
Leonard M Sander
Translational Genomics Research Institute · USUniversity of Michigan–Ann Arbor · USUniversity of California, San Francisco · US

Funding

Interdisciplinary Tumor Complexity ModelingR01CA085139 · NCI · OHIO STATE UNIVERSITY · PI CHIOCCA, E. ANTONIO · 2003 to 2006
$4.0M
NCI NIH HHS R01 CA085139NCI NIH HHS R01 CA085139-01A2
6 · The paper itself

Abstract

Glioblastoma, the most malignant form of brain cancer, is responsible for 23% of primary brain tumors and has extremely poor outcome. Confounding the clinical management of glioblastomas is the extreme local invasiveness of these cancer cells. The mechanisms that govern invasion are poorly understood. To gain insight into glioblastoma invasion, we conducted experiments on the patterns of growth and dispersion of U87 glioblastoma tumor spheroids in a three-dimensional collagen gel. We studied two different cell lines, one with a mutation to the EGFR (U87DeltaEGFR) that is associated with increased malignancy, and one with an endogenous (wild-type) receptor (U87WT). We developed a continuum mathematical model of the dispersion behaviors with the aim of identifying and characterizing discrete cellular mechanisms underlying invasive cell motility. The mathematical model quantitatively reproduces the experimental data, and indicates that the U87WT invasive cells have a stronger directional motility bias away from the spheroid center as well as a faster rate of cell shedding compared to the U87DeltaEGFR cells. The model suggests that differences in tumor cell dispersion may be due to differences in the chemical factors produced by cells, differences in how the two cell lines remodel the gel, or different cell-cell adhesion characteristics.

Indexed as

Neoplasm InvasivenessBrain NeoplasmsCell AdhesionCell Line, TumorCollagenErbB ReceptorsGlioblastomaHumansModels, StatisticalModels, TheoreticalMutationSpheroids, CellularTime FactorsTumor Cells, CulturedCollagenErbB Receptors

Identifiers

PMID17040992
PMCPMC1697862
OpenAlexW1975817152

What OpenQuestion holds

Textmetadata
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.