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c-Met in esophageal squamous cell carcinoma: an independent prognostic factor and potential therapeutic target

Overview of attention for article published in BMC Cancer, June 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

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1 blog
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26 X users
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18 Facebook pages

Citations

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37 Dimensions

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24 Mendeley
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Title
c-Met in esophageal squamous cell carcinoma: an independent prognostic factor and potential therapeutic target
Published in
BMC Cancer, June 2015
DOI 10.1186/s12885-015-1450-3
Pubmed ID
Authors

Yohei Ozawa, Yasuhiro Nakamura, Fumiyoshi Fujishima, Saulo JA Felizola, Kenichiro Takeda, Hiroshi Okamoto, Ken Ito, Hirotaka Ishida, Takuro Konno, Takashi Kamei, Go Miyata, Noriaki Ohuchi, Hironobu Sasano

Abstract

c-Met is widely known as a poor prognostic factor in various human malignancies. Previous studies have suggested the involvement of c-Met and/or its ligand, hepatocyte growth factor (HGF), in esophageal squamous cell carcinoma (ESCC), but the correlation between c-Met status and clinical outcome remains unclear. Furthermore, the identification of a novel molecular therapeutic target might potentially help improve the clinical outcome of ESCC patients. The expression of c-Met and HGF was immunohistochemically assessed in 104 surgically obtained tissue specimens. The correlation between c-Met/HGF expression and patients' clinicopathological features, including survival, was evaluated. We also investigated changes in cell functions and protein expression of c-Met and its downstream signaling pathway components under treatments with HGF and/or c-Met inhibitor in ESCC cell lines. Elevated expression of c-Met was significantly correlated with tumor depth and pathological stage. Patients with high c-Met expression had significantly worse survival. In addition, multivariate analysis identified the high expression of c-Met as an independent prognostic factor. Treatment with c-Met inhibitor under HGF stimulation significantly inhibited the invasive capacity of an ESCC cell line with elevated c-Met mRNA expression. Moreover, c-Met and its downstream signaling inactivation was also detected after treatment with c-Met inhibitor. The results of our study identified c-Met expression as an independent prognostic factor in ESCC patients and demonstrated that c-Met could be a potential molecular therapeutic target for the treatment of ESCC with elevated c-Met expression.

X Demographics

X Demographics

The data shown below were collected from the profiles of 26 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Austria 1 4%
Unknown 23 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 21%
Researcher 4 17%
Student > Master 3 13%
Student > Ph. D. Student 3 13%
Professor 2 8%
Other 3 13%
Unknown 4 17%
Readers by discipline Count As %
Medicine and Dentistry 9 38%
Biochemistry, Genetics and Molecular Biology 3 13%
Agricultural and Biological Sciences 3 13%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Psychology 1 4%
Other 1 4%
Unknown 6 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 August 2015.
All research outputs
#1,346,483
of 25,372,398 outputs
Outputs from BMC Cancer
#182
of 8,962 outputs
Outputs of similar age
#16,635
of 281,061 outputs
Outputs of similar age from BMC Cancer
#7
of 199 outputs
Altmetric has tracked 25,372,398 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,962 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 97% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 281,061 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 199 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.