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The prognostic value of EGFR overexpression and amplification in Esophageal squamous cell Carcinoma

Overview of attention for article published in BMC Cancer, May 2015
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Title
The prognostic value of EGFR overexpression and amplification in Esophageal squamous cell Carcinoma
Published in
BMC Cancer, May 2015
DOI 10.1186/s12885-015-1393-8
Pubmed ID
Authors

Dongxian Jiang, Xiaojing Li, Haixing Wang, Yuan Shi, Chen Xu, Shaohua Lu, Jie Huang, Yifan Xu, Haiying Zeng, Jieakesu Su, Yingyong Hou, Lijie Tan

Abstract

In view of the prominent role in cancer cell biology and alteration in substantial numbers of ESCC, defining EGFR molecular characteristics relevant to patient prognosis is of great importance. Therefore, we analyzed the protein expression and gene copy variation of the epithelial growth factor receptor (EGFR) in Chinese esophageal squamous cell carcinoma (ESCC) and explored the possible associations with various features of the tumors and survival of the patients. Sections were made from tissue microarray composed of 96 ESCC, and examined for EGFR expression by means of immunohistochemistry (IHC) and for EGFR gene amplification by means of fluorescence in situ hybridization (FISH). The results of IHC were evaluated with six different reported scoring systems. Correlation with clinical features and survival was evaluated using chi-square test and Kaplan-Meier analysis. EGFR overexpression according to scoring system 1 significantly correlated with advanced lymph node involvement (P = 0.046), patient disease specific free survival (DFS) (P = 0.006) and overall survival (OS) (P = 0.007). No such association was observed using other 5 scoring systems (P > 0.05 ). EGFR amplification was associated with lymph node metastasis (P = 0.028), but not correlated with DFS and OS until 20 months. EGFR IHC overexpression evaluated by scoring system 1 might be suitable to be used in predicting patients survival in ESCC. EGFR gene amplification showed delayed prognostic information after 20 months.

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Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Argentina 1 4%
Unknown 24 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 28%
Student > Master 4 16%
Researcher 4 16%
Lecturer 1 4%
Student > Doctoral Student 1 4%
Other 4 16%
Unknown 4 16%
Readers by discipline Count As %
Medicine and Dentistry 9 36%
Biochemistry, Genetics and Molecular Biology 6 24%
Agricultural and Biological Sciences 3 12%
Chemical Engineering 1 4%
Unspecified 1 4%
Other 1 4%
Unknown 4 16%