Evidence map›Paper›PMID 25005895›Full record

ArticleAnalytical chemistry2014

Live cell integrated surface plasmon resonance biosensing approach to mimic the regulation of angiogenic switch upon anti-cancer drug exposure.

Chang Liu, Subbiah Alwarappan, Haitham A Badr, Rui Zhang, Hongyun Liu, Jun-Jie Zhu, Chen-Zhong Li

Open access · bronzeAbstract read
In one paragraph

Article in Analytical chemistry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
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  3. Review
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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

7 authors at 5 institutions in 4 countries.

Chang LiuNanobioengineering/Bioelectronics Laboratory, Department of Biomedical Engineering, Florida International University , Miami, Florida, 33174, United States.
Subbiah Alwarappan
Haitham A Badr
Rui Zhang
Hongyun Liu
Jun-Jie Zhu
Chen-Zhong Li
Florida International University · USBeijing Normal University · CNCentral Electrochemical Research Institute · INNanjing University · CNZagazig University · EG

Funding

Biosensing Devices for Cytotoxic and Genotoxic Assessment of NanomaterialsR15ES021079 · NIEHS · FLORIDA INTERNATIONAL UNIVERSITY · PI LI, CHENZHONG · 2012 to 2012
$421k
NIEHS NIH HHS R15 ES021079NIEHS NIH HHS R15ES021079
6 · The paper itself

Abstract

In this work, we report a novel surface plasmon resonance (SPR) based live-cell biosensing platform to measure and compare the binding affinity of vascular endothelial growth factor (VEGF) to vascular endothelial growth factor receptor (VEGFR) and VEGF to bevacizumab. Results have shown that bevacizumab binds VEGF with a higher association rate and affinity compared to VEGFR. Further, this platform has been employed to mimic the in vivo condition of the VEGF-VEGFR angiogenic switch. Competitive binding to VEGF between VEGFR and bevacizumab was monitored in real-time using this platform. Results demonstrated a significant blockage of VEGF-VEGFR binding by bevacizumab. From the results, it is evident that the proposed strategy is simple and highly sensitive for the direct and real-time measurements of bevacizumab drug efficacy to the VEGF-VEGFR angiogenic switch in living SKOV-3 cells.

Indexed as

Biosensing TechniquesAntibodies, Monoclonal, HumanizedAntineoplastic AgentsBevacizumabKineticsNeovascularization, PhysiologicReceptors, Vascular Endothelial Growth FactorSurface Plasmon ResonanceAntibodies, Monoclonal, HumanizedAntineoplastic AgentsBevacizumabReceptors, Vascular Endothelial Growth Factor

Identifiers

PMID25005895
PMCPMC4372114
OpenAlexW2322049122

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.