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Medical Oncology

, 31:764 | Cite as

Tissue microarray analysis of X-linked inhibitor of apoptosis (XIAP) expression in breast cancer patients

  • Ying-Chun Xu
  • Qiang Liu
  • Jia-Qi Dai
  • Zhi-Qiang YinEmail author
  • Lei Tang
  • Yue Ma
  • Xiao-Lin Lin
  • Hong-Xia WangEmail author
Original Paper

Abstract

The goal of this study was to determine the diagnostic and prognostic potential of X-linked inhibitor of apoptosis (XIAP) expression in breast cancer. We analyzed a tissue microarray comprised of 100 breast cancer cases and 70 matched normal samples. Analysis of an online database, which included 2,977 patients, was also performed. There was a significant difference in cytoplasmic expression of XIAP (XIAP-C) between breast cancer tissue and matched normal (p < 0.001). Staining of XIAP-C was defined as negative (breast cancer 8.42 % vs. normal 30.91 %), slight (40.0 vs. 45.45 %), moderate (43.16 vs. 23.64 %), or high (8.42 vs. 0 %). High XIAP-C protein expression correlated with human epidermal growth factor receptor 2 (HER-2) status (p = 0.010) and with human p53 mutant-type (P53) status (p = 0.039). We found that XIAP expression did not correlate with disease-free survival (p = 0.706) and overall survival (p = 0.496) of breast cancer patients. An Internet-based system analysis confirmed our results. In the subgroup analysis, basal-like breast cancer patients with high XIAP levels in the tumor had a significantly increased risk of relapse; thus, the up-regulation of XIAP appeared to be predictive of poor relapse-free survival (p = 0.013). Kaplan–Meier curves also identified a significant correlation between distant metastasis-free survival and XIAP expression in patients with lymph-node-negative disease (p = 0.030). In summary, expression of XIAP-C was significantly higher in breast cancer compared to normal tissue. XIAP-C expression correlated with HER-2 status and may be considered a prognostic biomarker for basal-like breast cancer patients.

Keywords

X-linked inhibitor of apoptosis Prognosis Breast cancer Tissue microarray 

Notes

Acknowledgments

We thank Dr Stephen Clarke and Scientist Lucy in the Kolling Institute of RNS Hospital of Austria for technical assistance and paper revision. Written consent for publication is obtained from the patients or their relatives. This study was supported by the National Natural Science Funds (Project Number: 81102015 and 81301858), the National Program on Key Basic Research Project (973 Program) (Project Number: 2013CB967201), the Special Funds for Technological Innovation of Shanghai Jiaotong University (Project Number: YG2012MS46) and Shanghai Municipal Commission of Health and Family Planning.

Conflict of interests

This paper has never been published and is not under simultaneous review by another journal. All authors have read and approved to submit it to your journal. There is no conflict of interest of any authors in relation to the submission.

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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Ying-Chun Xu
    • 1
  • Qiang Liu
    • 3
  • Jia-Qi Dai
    • 2
  • Zhi-Qiang Yin
    • 2
    Email author
  • Lei Tang
    • 1
  • Yue Ma
    • 1
  • Xiao-Lin Lin
    • 1
  • Hong-Xia Wang
    • 1
    Email author
  1. 1.Department of Oncology, Ren Ji Hospital, School of MedicineShanghai Jiao Tong UniversityShanghaiChina
  2. 2.Department of Surgery, Ren Ji Hospital, School of MedicineShanghai Jiao Tong UniversityShanghaiChina
  3. 3.Department of Pathology, Ren Ji Hospital, School of MedicineShanghai Jiao Tong UniversityShanghaiChina

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