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Phosphorylated AKT1 is associated with poor prognosis in esophageal squamous cell carcinoma

Overview of attention for article published in Journal of Experimental & Clinical Cancer Research, September 2015
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Title
Phosphorylated AKT1 is associated with poor prognosis in esophageal squamous cell carcinoma
Published in
Journal of Experimental & Clinical Cancer Research, September 2015
DOI 10.1186/s13046-015-0212-z
Pubmed ID
Authors

Zhengfei Zhu, Weiwei Yu, Xiaolong Fu, Menghong Sun, Qiao Wei, Dali Li, Haiquan Chen, Jiaqing Xiang, Hecheng Li, Yawei Zhang, Weixin Zhao, Kuaile Zhao

Abstract

The epidermal growth factor receptor (EGFR) signaling pathway is important in regulating biological behaviors in many malignancies. We explored whether expression and activation of EGFR and several components on its downstream pathways have prognostic significance in patients with esophageal squamous cell carcinoma (ESCC). Expression of EGFR, phosphorylated (p)-EGFR, AKT1, p-AKT1, AKT2, p-AKT2, ERK1, ERK2, p-ERK1/2, STAT3, and p-STAT3 was assessed by immunohistochemical analysis of tissue microarrays for 275 ESCC patients who had undergone complete three-field lymphadenectomy. Spearman rank correlation tests were used to determine the relationships among protein expression, and Cox regression analyses were performed to determine the prognostic factors on overall survival (OS). p-EGFR expression was correlated statistically with all of the other phosphorylated markers. Gender, N stage, and p-AKT1 expression were found to be independent prognostic factors for OS. Increased expression of p-AKT1 was associated with decreased patient survival. EGFR and p-EGFR expression was not significantly associated with patient survival. Activation of AKT1 was associated with poor prognosis in ESCC.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 21%
Student > Ph. D. Student 4 21%
Student > Doctoral Student 2 11%
Professor > Associate Professor 1 5%
Student > Postgraduate 1 5%
Other 0 0%
Unknown 7 37%
Readers by discipline Count As %
Medicine and Dentistry 7 37%
Biochemistry, Genetics and Molecular Biology 2 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Agricultural and Biological Sciences 1 5%
Chemistry 1 5%
Other 0 0%
Unknown 7 37%