Literature DB >> 25445503

Overexpression of MAGE-A9 predicts unfavorable outcome in breast cancer.

Xin Xu1, Xiaojun Tang1, Meiping Lu2, Qi Tang1, Huilin Zhang3, Huijun Zhu4, Ning Xu1, Dawei Zhang5, Lin Xiong6, Yuan Mao7, Jin Zhu8.   

Abstract

Melanoma-associated antigens (MAGEs) are a group of well-characterized members of the cancer/testis antigen (CTA) family, which is one of the largest groups of human tumor-associated antigens. MAGE-A9 is a particular member in the context of the MAGE-A gene family and was defined as presenting prognostic relevance in certain type of human cancer. However, the expression of MAGE-A9 in invasive ductal breast cancer (IDC) and the relationship with the clinical attributes of IDC, especially prognostic characteristic, remain poorly understood. In this present study, one-step quantitative reverse transcription polymerase chain reaction (18 fresh-frozen IDC tissues and corresponding non-cancerous tissues) and immunohistochemistry by tissue microarrays (82 IDC tissue samples and 70 matched tumor-adjacent non-cancerous tissue samples) were performed to characterize expression of the MAGE-A9 gene in IDC. Kaplan-Meier survival and Cox regression analyses were performed to evaluate the prognosis of IDC. The results of qPCR and IHC analysis showed that the expression of MAGE-A9 in IDC was significantly higher than that in corresponding non-cancerous tissue. Moreover, the expression level of MAGE-A9 protein in IDC was significantly related to histological grade (p = 0.011) and distant metastasis (p = 0.019). Multivariate analysis with the Cox regression model showed that MAGE-A9 protein expression (p = 0.009), histological grade (p = 0.014), lymph node metastasis (p = 0.012) and distant metastasis (p = 0.011) were independent prognostic factors for overall survival of IDC patients. The data suggest that MAGE-A9 expression is correlated with malignant attributes of IDC and it may serve as a novel prognostic factor and an ideal candidate for targeted therapy in IDC treatment.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  IDC; Immunohistochemistry; MAGE-A9; Prognosis; Tissue microarray; qPCR

Mesh:

Substances:

Year:  2014        PMID: 25445503     DOI: 10.1016/j.yexmp.2014.11.001

Source DB:  PubMed          Journal:  Exp Mol Pathol        ISSN: 0014-4800            Impact factor:   3.362


  19 in total

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