BACKGROUND: Survivin plays a key role in the initiation and progression of breast cancer. However, its prognostic relevance to breast cancer patients has long been a matter of debate. The purpose of this study was to examine the expression of survivin and its role in predicting clinical outcome in a series of human breast cancer cases both at the mRNA and protein level. METHODS: Formalin-fixed paraffin-embedded tumor tissues from 245 female patients with invasive breast cancer and 13 patients with ductal carcinoma in situ were examined for survivin mRNA by quantitative real-time RT-PCR (RT-qPCR). In addition, 237 of these tumors with invasive breast cancer were available for immunohistochemistry (IHC). The relationship between survivin status and clinicopathological characteristics and prognosis was evaluated. RESULTS: RT-qPCR revealed that high levels of survivin mRNA were strongly associated with high nuclear grade, positive axillary lymph nodes, negative hormone receptor status, positive Her2 amplification, higher Ki67 labeling index, and presence of vascular invasion. In the Cox proportional regression model analysis, survivin mRNA was shown to be a significant univariate parameter for relapse-free survival (RFS), distant relapse-free survival (DRFS), and breast cancer-specific survival (BCSS) as well as a significant multivariate parameter for RFS, DRFS, and BCSS. In hormone receptor (HR)-positive/Her2-negative subtype cases, survivin mRNA expression was also an independent predictor in terms of DRFS. Immunohistochemically, positive staining was seen in the cytoplasm and/or nucleus of cancer cells, although this did not correlate with the mRNA level, and harbored no prognostic value. CONCLUSIONS: High mRNA expression of survivin was an independent marker of poor prognosis both in the entire cohort and in the HR-positive/Her2-negative subtype, whereas the protein expression of survivin was not. These findings suggest that RT-qPCR can provide more reliable data than IHC in validating the prognostic significance of survivin for breast cancer patients.
BACKGROUND: Survivin plays a key role in the initiation and progression of breast cancer. However, its prognostic relevance to breast cancerpatients has long been a matter of debate. The purpose of this study was to examine the expression of survivin and its role in predicting clinical outcome in a series of humanbreast cancer cases both at the mRNA and protein level. METHODS:Formalin-fixed paraffin-embedded tumor tissues from 245 female patients with invasive breast cancer and 13 patients with ductal carcinoma in situ were examined for survivin mRNA by quantitative real-time RT-PCR (RT-qPCR). In addition, 237 of these tumors with invasive breast cancer were available for immunohistochemistry (IHC). The relationship between survivin status and clinicopathological characteristics and prognosis was evaluated. RESULTS: RT-qPCR revealed that high levels of survivin mRNA were strongly associated with high nuclear grade, positive axillary lymph nodes, negative hormone receptor status, positive Her2 amplification, higher Ki67 labeling index, and presence of vascular invasion. In the Cox proportional regression model analysis, survivin mRNA was shown to be a significant univariate parameter for relapse-free survival (RFS), distant relapse-free survival (DRFS), and breast cancer-specific survival (BCSS) as well as a significant multivariate parameter for RFS, DRFS, and BCSS. In hormone receptor (HR)-positive/Her2-negative subtype cases, survivin mRNA expression was also an independent predictor in terms of DRFS. Immunohistochemically, positive staining was seen in the cytoplasm and/or nucleus of cancer cells, although this did not correlate with the mRNA level, and harbored no prognostic value. CONCLUSIONS: High mRNA expression of survivin was an independent marker of poor prognosis both in the entire cohort and in the HR-positive/Her2-negative subtype, whereas the protein expression of survivin was not. These findings suggest that RT-qPCR can provide more reliable data than IHC in validating the prognostic significance of survivin for breast cancerpatients.
Authors: Yan Cheng; Michael P Holloway; Kevin Nguyen; Dilara McCauley; Yosef Landesman; Michael G Kauffman; Sharon Shacham; Rachel A Altura Journal: Mol Cancer Ther Date: 2014-01-15 Impact factor: 6.261
Authors: Elizabeth A Mazzio; Charles A Lewis; Rashid Elhag; Karam F Soliman Journal: Cancer Genomics Proteomics Date: 2018 Jul-Aug Impact factor: 3.395
Authors: Salma Khan; Heather Ferguson Bennit; Malyn May Asuncion Valenzuela; David Turay; Carlos J Diaz Osterman; Ron B Moyron; Grace E Esebanmen; Arjun Ashok; Nathan R Wall Journal: Biologics Date: 2015-07-09
Authors: Manuel A Gomez-Marcos; Carlos Martinez-Salgado; Rogelio Gonzalez-Sarmiento; Jesus Ma Hernandez-Rivas; Pedro L Sanchez-Fernandez; Jose I Recio-Rodriguez; Emiliano Rodriguez-Sanchez; Luis García-Ortiz Journal: BMJ Open Date: 2016-06-07 Impact factor: 2.692