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The prognostic significance of protein tyrosine phosphatase 4A2 in breast cancer

Overview of attention for article published in OncoTargets and therapy, July 2015
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Title
The prognostic significance of protein tyrosine phosphatase 4A2 in breast cancer
Published in
OncoTargets and therapy, July 2015
DOI 10.2147/ott.s85899
Pubmed ID
Authors

Duanzheng Zhao, Libin Guo, Henrique Neves, Hiu-Fung Yuen, Shu-Dong Zhang, Cian M McCrudden, Qing Wen, Jin Zhang, Qi Zeng, Hang Fai Kwok, Yao Lin

Abstract

Although PTP4A3 has been shown to be a very important factor in promoting cancer progression, the role of its close family member PTP4A2 is still largely unknown. Recent reports have shown contradicting results on the role of PTP4A2 in breast cancer progression. Considering this, we aimed to investigate the prognostic value of PTP4A2 in five independent breast cancer data sets (minimum 198 patients per cohort, totaling 1,124 patients) in the Gene Expression Omnibus Database. We found that high expression of PTP4A2 was a favorable prognostic marker in all five independent breast cancer data sets, as well as in the combined cohort, with a hazard ratio of 0.68 (95% confidence interval =0.56-0.83; P<0.001). Low PTP4A2 expression was associated with estrogen receptor-negative tumors and tumors with higher histological grading; furthermore, low expression was inversely correlated with the expression of genes involved in proliferation, including MKI67 and the MCM gene family encoding the minichromosome maintenance proteins. These findings suggest that PTP4A2 may play a role in breast cancer progression by dysregulating cell proliferation. PTP4A2 expression was positively correlated with ESR1, the gene encoding estrogen receptor-alpha, and inversely correlated with EGFR expression, suggesting that PTP4A2 may be involved in these two important oncogenic pathways. Together, our results suggest that expression of PTP4A2 is a favorable prognostic marker in breast cancer.

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Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 60%
Student > Ph. D. Student 2 40%
Student > Doctoral Student 1 20%
Readers by discipline Count As %
Nursing and Health Professions 2 40%
Agricultural and Biological Sciences 2 40%
Computer Science 1 20%
Biochemistry, Genetics and Molecular Biology 1 20%
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 24 July 2015.
All research outputs
#22,778,604
of 25,394,764 outputs
Outputs from OncoTargets and therapy
#2,080
of 3,016 outputs
Outputs of similar age
#236,597
of 277,704 outputs
Outputs of similar age from OncoTargets and therapy
#58
of 81 outputs
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