Evidence map›Paper›PMID 14581197›Full record

ArticleBiophysical journal2003

The universal dynamics of tumor growth.

Antonio Brú, Sonia Albertos, José Luis Subiza, José López García-Asenjo, Isabel Brú

Open access · bronzeAbstract readComparative StudyEvaluation StudyValidation Study
In one paragraph

Article in Biophysical journal, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed
11.8field-weighted citation impact, top 1% 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

87 citing papers in PubMed, 397 citations in OpenAlex.

  1. Article
  2. Article
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  4. Article
  5. Age-structured mechanical models for tumor growth.Journal of mathematical biology · 2026
    Article
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  11. Tissue stresses caused by invasive tumour: a biomechanical model.Journal of the Royal Society, Interface · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Metastasis Models: Thermodynamics and Complexity.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  18. Article
  19. Article
  20. Review

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Antonio BrúCCMA, Consejo Superior de Investigaciones Científicas, 28006 Madrid, Spain. antonio.bru@ccma.csic.es
Sonia Albertos
José Luis Subiza
José López García-Asenjo
Isabel Brú
Hospital Clínico San Carlos · ESConsejo Superior de Investigaciones Científicas · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Scaling techniques were used to analyze the fractal nature of colonies of 15 cell lines growing in vitro as well as of 16 types of tumor developing in vivo. All cell colonies were found to exhibit exactly the same growth dynamics-which correspond to the molecular beam epitaxy (MBE) universality class. MBE dynamics are characterized by 1), a linear growth rate, 2), the constraint of cell proliferation to the colony/tumor border, and 3), surface diffusion of cells at the growing edge. These characteristics were experimentally verified in the studied colonies. That these should show MBE dynamics is in strong contrast with the currently established concept of tumor growth: the kinetics of this type of proliferation rules out exponential or Gompertzian growth. Rather, a clear linear growth regime is followed. The importance of new cell movements-cell diffusion at the tumor border-lies in the fact that tumor growth must be conceived as a competition for space between the tumor and the host, and not for nutrients or other factors. Strong experimental evidence is presented for 16 types of tumor, the growth of which cell surface diffusion may be the main mechanism responsible in vivo. These results explain most of the clinical and biological features of colonies and tumors, offer new theoretical frameworks, and challenge the wisdom of some current clinical strategies.

Indexed as

Cell MovementFractalsLinear ModelsModels, BiologicalAnimalsCell AggregationCell CountCell DivisionCell Line, TumorComputer SimulationHumansImage Interpretation, Computer-AssistedNeoplasms

Identifiers

PMID14581197
PMCPMC1303573
OpenAlexW2041208813

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.