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AKAP3 correlates with triple negative status and disease free survival in breast cancer

Overview of attention for article published in BMC Cancer, October 2015
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Title
AKAP3 correlates with triple negative status and disease free survival in breast cancer
Published in
BMC Cancer, October 2015
DOI 10.1186/s12885-015-1668-0
Pubmed ID
Authors

Rezvan Esmaeili, Keivan Majidzadeh-A, Leila Farahmand, Maryam Ghasemi, Malihe Salehi, Ali Reza Khoshdel

Abstract

Cancer-testis antigens are among the new promising biomarkers, especially for targeted therapy. Aberrant and specific expression of these proteins has been reported in some tumor tissues. Also understanding their differential role in normal and cancer tissues may introduce them as new candidates for biomarker in cancer. AKAP3 expression was investigated in 162 tumors, normal adjacent and normal tissues of the breast with Real-Time PCR. Also the correlation between the gene expression and clinico-pathologic features of the tumors and treatment regimen was evaluated. There was an association between lack of AKAP3 expression in tumor tissues and triple negative status (p=. 03). There was also a correlation between lack of this marker and tumor size (p = .01) and stage (p = .04). Lack of AKAP3 in normal adjacent tissues was associated with poor prognosis. Kaplan Meier plot demonstrated a remarkable better 5-year disease free survival in AKAP3 positive normal adjacent group. It was found that this relationship is originated from the difference in AKAP3 expression, not therapy distribution between two groups of patients. Thus, it may be a proper biomarker candidate for triple negative breast cancer patients. Also, testing AKAP3 in normal tissue of the patients may be used to predict the outcome of the treatment.

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Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 15%
Student > Master 3 15%
Professor > Associate Professor 3 15%
Student > Ph. D. Student 2 10%
Researcher 2 10%
Other 2 10%
Unknown 5 25%
Readers by discipline Count As %
Medicine and Dentistry 4 20%
Biochemistry, Genetics and Molecular Biology 2 10%
Agricultural and Biological Sciences 2 10%
Environmental Science 1 5%
Nursing and Health Professions 1 5%
Other 4 20%
Unknown 6 30%