Evidence map›Paper›PMID 28100829›Full record

ArticleJournal of the Royal Society, Interface2017

A mathematical model of tumour angiogenesis: growth, regression and regrowth.

Guillermo Vilanova, Ignasi Colominas, Hector Gomez

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Disordered spatial pattern of redness signal on facial skin and visual perception of health, stress, and hidden aging.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024
    Article
  6. Metastasis Models: Thermodynamics and Complexity.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. 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

3 authors.

Guillermo VilanovaDepartamento de Métodos Matemáticos e de Representación, Grupo de Métodos Numéricos en Ingeniería-Universidade da Coruña, Campus de Elviña, 15071 A Coruña, Spain gvilanovac@udc.es.ORCID 0000-0002-9650-0602
Ignasi ColominasDepartamento de Métodos Matemáticos e de Representación, Grupo de Métodos Numéricos en Ingeniería-Universidade da Coruña, Campus de Elviña, 15071 A Coruña, Spain.ORCID 0000-0002-9005-1375
Hector GomezSchool of Mechanical Engineering, Purdue University, 585 Purdue Mall, West Lafayette, IN 47907, USA.ORCID 0000-0002-2553-9091

Funding

European Research Council 307201
6 · The paper itself

Abstract

Cancerous tumours have the ability to recruit new blood vessels through a process called angiogenesis. By stimulating vascular growth, tumours get connected to the circulatory system, receive nutrients and open a way to colonize distant organs. Tumour-induced vascular networks become unstable in the absence of tumour angiogenic factors (TAFs). They may undergo alternating stages of growth, regression and regrowth. Following a phase-field methodology, we propose a model of tumour angiogenesis that reproduces the aforementioned features and highlights the importance of vascular regression and regrowth. In contrast with previous theories which focus on vessel remodelling due to the absence of flow, we model an alternative regression mechanism based on the dependency of tumour-induced vascular networks on TAFs. The model captures capillaries at full scale, the plastic dynamics of tumour-induced vessel networks at long time scales, and shows the key role played by filopodia during angiogenesis. The predictions of our model are in agreement with in vivo experiments and may prove useful for the design of antiangiogenic therapies.

Indexed as

Models, BiologicalNeoplasmsNeovascularization, PathologicAngiogenesis Inducing AgentsAnimalsHumansNeoplasm ProteinsAngiogenesis Inducing AgentsNeoplasm Proteinsangiogenesiscapillary regression and regrowthmathematical modelling

Identifiers

PMID28100829
PMCPMC5310739

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.