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Expression of Notch1 Correlates with Breast Cancer Progression and Prognosis

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  • Xun Yuan
  • Mingsheng Zhang
  • Hua Wu
  • Hanxiao Xu
  • Na Han
  • Qian Chu
  • Shiying Yu
  • Yuan Chen
  • Kongming Wu

Abstract

Various studies have evaluated the significance of Notch1 expression in breast cancer, but the results have ever been disputed. By using 21 studies involving 3867 patients, this meta-analysis revealed that the expression of Notch1 was significantly higher in breast cancer than in normal tissues (OR=7.21; 95%CI, 4.7-11.07) and that higher Notch1 expression was associated with transition from ductal carcinoma in situ (DCIS) to invasive cancer (OR=3.75; 95% CI, 1.8-7.78). Higher Notch1 activity was observed in the basal subtype of breast cancer (OR=2.53; 95% CI, 1.18-5.43). Moreover, patients with Notch1 overexpression exhibited significantly worse overall and recurrence-free survival. Our meta-analysis suggests that Notch inhibitors may be useful in blocking the early progression of DCIS and that the outcomes of clinical trials for Notch1-targeting therapeutics could be improved by the molecular stratification of breast cancer patients.

Suggested Citation

  • Xun Yuan & Mingsheng Zhang & Hua Wu & Hanxiao Xu & Na Han & Qian Chu & Shiying Yu & Yuan Chen & Kongming Wu, 2015. "Expression of Notch1 Correlates with Breast Cancer Progression and Prognosis," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-13, June.
    • Handle: RePEc:plo:pone00:0131689
    DOI: 10.1371/journal.pone.0131689
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    1. Andy J. Minn & Gaorav P. Gupta & Peter M. Siegel & Paula D. Bos & Weiping Shu & Dilip D. Giri & Agnes Viale & Adam B. Olshen & William L. Gerald & Joan Massagué, 2005. "Genes that mediate breast cancer metastasis to lung," Nature, Nature, vol. 436(7050), pages 518-524, July.
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