Evidence map›Paper›PMID 25370780›Full record

ArticleLab on a chip2015

A quantitative microfluidic angiogenesis screen for studying anti-angiogenic therapeutic drugs.

Choong Kim, Junichi Kasuya, Jessie Jeon, Seok Chung, Roger D Kamm

Open access · greenAbstract read
In one paragraph

Article in Lab on a chip, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

68 citing papers in PubMed, 139 citations in OpenAlex.

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8 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 3 countries.

Choong KimDepartments of Biological Engineering and Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. rdkamm@mit.edu.
Junichi Kasuya
Jessie Jeon
Seok Chung
Roger D Kamm
Massachusetts Institute of Technology · USKorea University · KRKyungil University · KR

Funding

Microfluidic 3D Assays for Metastatic CancerR33CA174550 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KAMM, ROGER D · 2013 to 2015
$1.1M
NCI NIH HHS R33 CA174550
6 · The paper itself

Abstract

Anti-angiogenic therapy, which suppresses tumor growth by disrupting oxygen and nutrient supply from blood to the tumor, is now widely accepted as a treatment for cancer. To investigate the mechanisms of action of these anti-angiogenesis drugs, new three dimensional (3D) cell culture-based drug screening models are increasingly employed. However, there is no in vitro high-throughput screening (HTS) angiogenesis assay that can provide uniform culture conditions for the quantitative assessment of physiological responses to chemoattractant reagents under various concentrations of anti-angiogenesis drugs. Here we describe a method for screening and quantifying the vascular endothelial growth factor (VEGF)-induced chemotactic response on human umbilical vein endothelial cells (HUVECs) cultured with different concentrations of bortezomib, a selective 26S proteasome inhibitor. With this quantitative microfluidic angiogenesis screen (QMAS), we demonstrate that bortezomib-induced endothelial cell death is preceded by a series of morphological changes that develop over several days. We also explore the mechanisms by which bortezomib can inhibit angiogenesis.

Indexed as

Neovascularization, PathologicAngiogenesis InhibitorsBoronic AcidsBortezomibCell Culture TechniquesCell MovementCell ProliferationCell SurvivalHumansHuman Umbilical Vein Endothelial CellsMicrofluidic Analytical TechniquesPyrazinesVascular Endothelial Growth Factor AAngiogenesis InhibitorsBoronic AcidsBortezomibPyrazinesVascular Endothelial Growth Factor AVEGFA protein, human

Identifiers

PMID25370780
PMCPMC4311754
OpenAlexW2083166046

What OpenQuestion holds

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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.