Evidence map›Paper›PMID 26934465›Full record

ArticlePloS one2016

Mathematical Modelling of a Brain Tumour Initiation and Early Development: A Coupled Model of Glioblastoma Growth, Pre-Existing Vessel Co-Option, Angiogenesis and Blood Perfusion.

Yan Cai, Jie Wu, Zhiyong Li, Quan Long

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.8field-weighted citation impact, top 8% 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

16 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Review
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  6. Liquid biopsies for early diagnosis of brain tumours:Journal of the Royal Society, Interface · 2022
    Article
  7. Review
  8. AnSmall methods · 2021
    Article
  9. Article
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  11. Experimental and computational analyses reveal dynamics of tumor vessel cooption and optimal treatment strategies.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  12. Article
  13. Article
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  16. Review
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.

Yan CaiState Key Laboratory of Bioelectronics, Southeast University, Nanjing, China.
Jie WuSchool of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiaotong University, Shanghai, China.
Zhiyong LiState Key Laboratory of Bioelectronics, Southeast University, Nanjing, China.
Quan LongBrunel Institute for Bioengineering, School of Engineering and Design, Brunel University, Uxbridge, Middlesex, United Kingdom.
Southeast University · CNBrunel University of London · GBShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We propose a coupled mathematical modelling system to investigate glioblastoma growth in response to dynamic changes in chemical and haemodynamic microenvironments caused by pre-existing vessel co-option, remodelling, collapse and angiogenesis. A typical tree-like architecture network with different orders for vessel diameter is designed to model pre-existing vasculature in host tissue. The chemical substances including oxygen, vascular endothelial growth factor, extra-cellular matrix and matrix degradation enzymes are calculated based on the haemodynamic environment which is obtained by coupled modelling of intravascular blood flow with interstitial fluid flow. The haemodynamic changes, including vessel diameter and permeability, are introduced to reflect a series of pathological characteristics of abnormal tumour vessels including vessel dilation, leakage, angiogenesis, regression and collapse. Migrating cells are included as a new phenotype to describe the migration behaviour of malignant tumour cells. The simulation focuses on the avascular phase of tumour development and stops at an early phase of angiogenesis. The model is able to demonstrate the main features of glioblastoma growth in this phase such as the formation of pseudopalisades, cell migration along the host vessels, the pre-existing vasculature co-option, angiogenesis and remodelling. The model also enables us to examine the influence of initial conditions and local environment on the early phase of glioblastoma growth.

Indexed as

AlgorithmsBrainBrain NeoplasmsComputer SimulationGlioblastomaHemodynamicsHumansModels, BiologicalNeovascularization, Pathologic

Identifiers

PMID26934465
PMCPMC4774981
OpenAlexW2288975853

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.