Evidence map›Paper›PMID 34552183›Full record

ArticleCommunications biology2021

The development of tumour vascular networks.

Anahita Fouladzadeh, Mohsen Dorraki, Kay Khine Myo Min, Michaelia P Cockshell, Emma J Thompson, Johan W Verjans, Andrew Allison, Claudine S Bonder, Derek Abbott

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

15 citing papers in PubMed, 32 citations in OpenAlex.

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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

9 authors at 4 institutions in 1 country.

Anahita Fouladzadeh *Centre for Cancer Biology, University of South Australia and SA Pathology, Adelaide, SA, 5000, Australia. anahita.fouladzadeh@mymail.unisa.edu.au.ORCID 0000-0002-3981-4509
Mohsen Dorraki *South Australian Health and Medical Research Institute (SAHMRI), Adelaide, SA, 5000, Australia. mohsen.dorraki@adelaide.edu.au.ORCID 0000-0002-6675-3393
Kay Khine Myo MinCentre for Cancer Biology, University of South Australia and SA Pathology, Adelaide, SA, 5000, Australia.
Michaelia P CockshellCentre for Cancer Biology, University of South Australia and SA Pathology, Adelaide, SA, 5000, Australia.
Emma J ThompsonCentre for Cancer Biology, University of South Australia and SA Pathology, Adelaide, SA, 5000, Australia.ORCID 0000-0003-1928-6814
Johan W VerjansSouth Australian Health and Medical Research Institute (SAHMRI), Adelaide, SA, 5000, Australia.ORCID 0000-0002-8336-6774
Andrew AllisonSchool of Electrical & Electronic Engineering, The University of Adelaide, Adelaide, SA, 5005, Australia.
Claudine S BonderCentre for Cancer Biology, University of South Australia and SA Pathology, Adelaide, SA, 5000, Australia.ORCID 0000-0001-9875-967X
Derek AbbottSchool of Electrical & Electronic Engineering, The University of Adelaide, Adelaide, SA, 5005, Australia.ORCID 0000-0002-0945-2674
South Australia Pathology · AUThe University of Adelaide · AUAustralian Institute of Business · AUSouth Australian Health and Medical Research Institute · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growth of solid tumours relies on an ever-increasing supply of oxygen and nutrients that are delivered via vascular networks. Tumour vasculature includes endothelial cell lined angiogenesis and the less common cancer cell lined vasculogenic mimicry (VM). To study and compare the development of vascular networks formed during angiogenesis and VM (represented here by breast cancer and pancreatic cancer cell lines) a number of in vitro assays were utilised. From live cell imaging, we performed a large-scale automated extraction of network parameters and identified properties not previously reported. We show that for both angiogenesis and VM, the characteristic network path length reduces over time; however, only endothelial cells increase network clustering coefficients thus maintaining small-world network properties as they develop. When compared to angiogenesis, the VM network efficiency is improved by decreasing the number of edges and vertices, and also by increasing edge length. Furthermore, our results demonstrate that angiogenic and VM networks appear to display similar properties to road traffic networks and are also subject to the well-known Braess paradox. This quantitative measurement framework opens up new avenues to potentially evaluate the impact of anti-cancer drugs and anti-vascular therapies.

Indexed as

Antineoplastic AgentsCell Line, TumorEndothelial CellsHumansNeovascularization, PathologicAntineoplastic Agents

Identifiers

PMID34552183
PMCPMC8458341
OpenAlexW3199465333

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.