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Expression and significance of CD44 and p-AKT in pancreatic head cancer

Overview of attention for article published in World Journal of Surgical Oncology, December 2015
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Title
Expression and significance of CD44 and p-AKT in pancreatic head cancer
Published in
World Journal of Surgical Oncology, December 2015
DOI 10.1186/s12957-015-0746-8
Pubmed ID
Authors

Li Xiaoping, Zhang Xiaowei, Zheng Leizhen, Guo Weijian

Abstract

CD44 and phosphorylated AKT (p-AKT) is a potentially interesting prognostic marker and therapeutic target in pancreatic cancer. The expression of CD44 and p-AKT has been reported to correlate with poor prognosis of pancreatic cancer in most literatures. The purpose of this study is to investigate the roles of CD44 and p-AKT in pancreatic head cancer and their correlation with the prognosis of pancreatic head cancer patients. Forty-eight pancreatic head cancer samples were collected dating from Jan. 2010 to Dec. 2012. Immunohistochemistry was applied to test the expression of CD44 and p-AKT in pancreatic head cancer. The clinical data of the patients were collected including their gender, age, the histology and location, lymph node metastasis, and so on. The correlation between the CD44 expression and the clinicopathological factors of patients with pancreatic head cancer was analyzed by the software SPSS 13.0. The positive rates of CD44 and p-AKT expression in the samples were 64.6 and 29.2 %, respectively. There was a significant difference between the CD44 expression and the pancreatic cancer' T staging, tumor node metastasis (TNM) staging, lymph node metastasis (P < 0.05). The Cox proportional hazard model showed that CD44 and lymph node metastasis were independent prognostic factors. CD44 was related to the distant metastasis and aggressive malignant behaviors of pancreatic head cancer.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 27%
Other 2 13%
Student > Doctoral Student 1 7%
Unspecified 1 7%
Student > Ph. D. Student 1 7%
Other 4 27%
Unknown 2 13%
Readers by discipline Count As %
Medicine and Dentistry 6 40%
Biochemistry, Genetics and Molecular Biology 2 13%
Unspecified 1 7%
Agricultural and Biological Sciences 1 7%
Business, Management and Accounting 1 7%
Other 2 13%
Unknown 2 13%