title: Analysis of TRRAP as a Potential Molecular Marker and Therapeutic Target for Breast Cancer.
abstract: OBJECTIVE
  This study was designed to assess the protein levels of transformation/transcription domain-associated protein (TRRAP) in invasive ductal breast carcinomas, and investigated the association between TRRAP and the clinicopathological features of breast cancer.
  
  
  METHODS
  We examined TRRAP protein expression in 470 breast cancer tissues and normal breast tissues by tissue microarray to study the correlation between TRRAP expression and clinicopathological features. This was analyzed using the chi-square test. Kaplan-Meier survival curves and log-rank tests were applied to analyze the survival status. Cox regression was applied for multivariate analysis of prognosis.
  
  
  RESULTS
  The data demonstrated that expression of TRRAP was significantly lower in breast carcinomas (36.6%) than in corresponding normal breast tissues (50.8%). In addition, TRRAP protein levels negatively correlated with tumor size, and indicated poor differentiation, increased nodal involvement, and low p53-positive rates. Analysis of survival revealed that lower TRRAP expression correlated with shorter survival time. Univariate analyses identified TRRAP and progesterone receptor as independent protective factors for breast cancer prognosis. However, Ki-67, tumor size, and nodal involvement appeared to be independent risk factors.
  
  
  CONCLUSIONS
  The findings indicate a significant correlation between TRRAP protein levels and adverse prognosis in breast cancer. Therefore, TRRAP could be a prognostic biomarker for breast cancer. In addition, TRRAP is also a predictive biomarker of breast cancer treatment.
authors.affiliation: Department of Breast Surgery, Affiliated Tumor Hospital of Harbin Medical University, Harbin, China.
authors.forename: Ji
authors.initials: J
authors.lastname: Wang
authors.affiliation: Department of Breast Surgery, Affiliated Tumor Hospital of Harbin Medical University, Harbin, China.
authors.forename: Ming
authors.initials: M
authors.lastname: Shan
authors.affiliation: Department of Breast Surgery, Affiliated Tumor Hospital of Harbin Medical University, Harbin, China.
authors.forename: Tong
authors.initials: T
authors.lastname: Liu
authors.affiliation: Department of Breast Surgery, Affiliated Tumor Hospital of Harbin Medical University, Harbin, China.
authors.forename: Qingyu
authors.initials: Q
authors.lastname: Shi
authors.affiliation: Department of Breast Surgery, Affiliated Tumor Hospital of Harbin Medical University, Harbin, China.
authors.forename: Zhenbin
authors.initials: Z
authors.lastname: Zhong
authors.affiliation: Department of Breast Surgery, Affiliated Tumor Hospital of Harbin Medical University, Harbin, China.
authors.forename: Wei
authors.initials: W
authors.lastname: Wei
authors.affiliation: Department of Breast Surgery, Affiliated Tumor Hospital of Harbin Medical University, Harbin, China.; Northern (China) Translational Medicine Research and Cooperation Center, Heilongjiang Academy of Medical Sciences, Harbin, China.
authors.forename: Da
authors.initials: D
authors.lastname: Pang
keywords: Biomarkers; Breast neoplasms; Prognosis; Transformation-transcription domain-associated protein