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Nestin: predicting specific survival factors for breast cancer

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Tumor Biology

Abstract

The purpose of this study is to investigate the relationship between nestin expression and clinicopathological characteristics, immunohistochemical markers and to determine the prognostic impact of nestin expression in breast cancer so as to lay a foundation for the treatment of breast cancer. A total of 109 patients who were histologically diagnosed with breast cancer and underwent radical operations from January 2006 to September 2007 in China Medical University were enrolled in the study. Nestin protein expression was evaluated by immunohistochemistry. The relationship between nestin and other parameters was analyzed by using chi-square test and Fisher’s exact test. Nestin expression was observed in 37.6 % (41/109) of cases. There were no significant differences between the age of >40 and ≤40 years group in terms of nestin expression (39.8 vs 18.2 %; P = 0.161). The rate of nestin expression between those with and without lymph node metastasis was not significantly different (X 2 = 0.086; P = 0.769). The 5-year survival rates of the patients with nestin expression and those without were 34.1 % (14/41) and 55.9 % (38/68), respectively (P = 0.028). Overall, triple-negative breast cancers had higher expression rates than other cancers (54.1 vs 29.2 %; P = 0.011). Nestin expression rate in ER- and PR-negative tumors was found to be significantly higher than cases that were ER- and PR-positive (P = 0.011 and P = 0.036, respectively). However, it was not found that HER2 expression was related to nestin expression (P = 0.120). These results suggest that the expression of nestin might play an important role in the prognosis of breast carcinoma, especially in the triple-negative subgroups.

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Acknowledgments

This study was supported by the national natural science funds (no. 81172047 and no. 81102029).

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Correspondence to Caigang Liu or Xuemei Wang.

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Ningning Gao and Hong Xu were co-first authors

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Gao, N., Xu, H., Liu, C. et al. Nestin: predicting specific survival factors for breast cancer. Tumor Biol. 35, 1751–1755 (2014). https://doi.org/10.1007/s13277-013-1548-7

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  • DOI: https://doi.org/10.1007/s13277-013-1548-7

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