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Inhibitory Activity of Bevacizumab to Differentiation of Retinoblastoma Cells

Overview of attention for article published in PLOS ONE, March 2012
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Title
Inhibitory Activity of Bevacizumab to Differentiation of Retinoblastoma Cells
Published in
PLOS ONE, March 2012
DOI 10.1371/journal.pone.0033456
Pubmed ID
Authors

Jang Won Heo, Jin Hyoung Kim, Chang Sik Cho, Hyoung Oh Jun, Dong Hun Kim, Young Suk Yu, Jeong Hun Kim

Abstract

Vascular endothelial growth factor (VEGF) is a major regulator in retinal and choroidal angiogenesis, which are common causes of blindness in all age groups. Recently anti-VEGF treatment using anti-VEGF antibody has revolutionarily improved the visual outcome in patients with vaso-proliferative retinopathies. Herein, we demonstrated that bevacizumab as an anti-VEGF antibody could inhibit differentiation of retinoblastoma cells without affection to cellular viability, which would be mediated via blockade of extracellular signal-regulated kinase (ERK) 1/2 activation. The retinoblastoma cells expressed VEGFR-2 as well as TrkA which is a neurotrophin receptor associated with differentiation of retinoblastoma cells. TrkA in retinoblastoma cells was activated with VEGF treatment. Interestingly even in the concentration of no cellular death, bevascizumab significantly attenuated the neurite formation of differentiated retinoblastoma cells, which was accompanied by inhibition of neurofilament and shank2 expression. Furthermore, bevacizumab inhibited differentiation of retinoblastoma cells by blockade of ERK 1/2 activation. Therefore, based on that the differentiated retinoblastoma cells are mostly photoreceptors, our results suggest that anti-VEGF therapies would affect to the maintenance or function of photoreceptors in mature retina.

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Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
United States 1 3%
South Africa 1 3%
Egypt 1 3%
Unknown 27 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 29%
Student > Postgraduate 4 13%
Student > Master 4 13%
Student > Ph. D. Student 4 13%
Professor 3 10%
Other 3 10%
Unknown 4 13%
Readers by discipline Count As %
Medicine and Dentistry 14 45%
Agricultural and Biological Sciences 5 16%
Biochemistry, Genetics and Molecular Biology 4 13%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Economics, Econometrics and Finance 1 3%
Other 1 3%
Unknown 5 16%