Home CUSTOMERS Neoplasma 2018 Neoplasma Vol.65, No.4, p.604-609, 2018

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ISSN 0028-2685
ISSN 1338-4317 (online)

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Neoplasma Vol.65, No.4, p.604-609, 2018

Title: Melanoma-associated antigen A2 is overexpressed in glioma and associated with poor prognosis in glioma patients
Author: Q. MENG, G. LUO, B. LIU, Y. SUN, Z. YAN

Abstract: Malignant glioma is the most common and aggressive primary brain tumor and the overall prognosis for glioma patients remains poor. Clarification of the molecular mechanism responsible for glioma progression is critical for the effective treatment of glioma. Melanoma antigen gene (MAGE)-A2 (MAGEA2) is a member of the MAGE-A family proteins widely studied for cancer vaccine development and identification of tumor markers. However, MAGEA2 clinical significance  and biological function in glioma remain unclear, especially for the prognosis of glioma patients. This study investigates MAGEA2 expression in glioma tissue samples and its significance in predicting glioma patient prognosis. MAGEA2 protein expression in tissue samples was measured by immunohistochemistry and western blotting, and MAGEA2 mRNA expression was determined by real-time polymerase chain reaction. Our results confirmed that MAGEA2 mRNA and protein expression levels were upregulated in glioma tissues, compared with normal brain tissue. The high expression of MAGEA2 in glioma tissues significantly correlated with World Health Organization advanced grade. Univariate and multivariate analyses revealed that high MAGEA2 expression is an independent prognostic factor for glioma patient poor overall survival. The P53 mRNA expression levels were downregulated in glioma tissues compared to noncancerous brain tissue and MAGEA2 expression negatively correlated with P53 expression. Taken together, our results suggest that MAGEA2 plays an oncogenic role in glioma progression, and they provide insight into MAGEA2 application as a novel predictor of clinical outcomes and a potential glioma biomarker.

Keywords: MAGEA2, glioma, overall survival, prognosis, biomarker
Published online: 30-Jul-2018
Year: 2018, Volume: 65, Issue: 4 Page From: 604, Page To: 609
doi:10.4149/neo_2018_170625N440


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