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Circulating tumor cell clusters-associated gene plakoglobin is a significant prognostic predictor in patients with breast cancer

Overview of attention for article published in Biomarker Research, May 2017
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Title
Circulating tumor cell clusters-associated gene plakoglobin is a significant prognostic predictor in patients with breast cancer
Published in
Biomarker Research, May 2017
DOI 10.1186/s40364-017-0099-2
Pubmed ID
Authors

Wataru Goto, Shinichiro Kashiwagi, Yuka Asano, Koji Takada, Katsuyuki Takahashi, Takaharu Hatano, Tsutomu Takashima, Shuhei Tomita, Hisashi Motomura, Masahiko Ohsawa, Kosei Hirakawa, Masaichi Ohira

Abstract

Circulating tumor cells (CTCs) are linked to metastatic relapse and are regarded as a prognostic marker for human cancer. High expression of plakoglobin, a cell adhesion protein, within the primary tumor is positively associated with CTC clusters in breast cancer. In this study, we investigated the correlation between plakoglobin expression and survival of breast cancer. We evaluated 121 breast cancer patients treated with neoadjuvant chemotherapy. Expression of plakoglobin was identified by immunohistochemical staining in the cell membrane. We also examined the relation between the expression of plakoglobin and E-cadherin, an epithelial-mesenchymal transition (EMT) marker. Patients with high plakoglobin expression had significantly worse distant-metastasis-free survival (DMFS) (P = 0.016, log rank). Plakoglobin expression had no correlation with pathological complete response rate (P = 0.627). On univariate analysis with respect to distant metastasis, high plakoglobin expression showed worse prognosis than low plakoglobin expression [P = 0.036, hazard ratio (HR) = 3.719]. Multivariate analysis found the same result (P = 0.013, HR = 5.052). In addition, there was a significant relationship between the expression of plakoglobin and E-cadherin (P = 0.023). Plakoglobin expression is an independent prognostic factor in patients with breast cancer, particularly for DMFS, and this is related to EMT.

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Mendeley readers

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The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 21%
Student > Bachelor 6 18%
Researcher 3 9%
Student > Master 3 9%
Other 2 6%
Other 5 15%
Unknown 7 21%
Readers by discipline Count As %
Medicine and Dentistry 9 27%
Biochemistry, Genetics and Molecular Biology 6 18%
Engineering 4 12%
Agricultural and Biological Sciences 3 9%
Social Sciences 1 3%
Other 1 3%
Unknown 9 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 17 May 2017.
All research outputs
#20,420,242
of 22,971,207 outputs
Outputs from Biomarker Research
#255
of 317 outputs
Outputs of similar age
#270,058
of 310,149 outputs
Outputs of similar age from Biomarker Research
#6
of 7 outputs
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So far Altmetric has tracked 317 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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