Hypoxia-inducible factor-1α correlates with MET and metastasis in node-negative breast cancer

Helen H.W Chen, Wu-Chou Su, Pin Wen Lin, How-Ran Guo, Wen Ying Lee

Research output: Contribution to journalArticle

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Abstract

The mechanism of tumor hypoxia promoting metastasis remains uncertain. Hypoxia-inducible factor-1α (HIF-1α) is a key mediator of the cellular response to hypoxia and binds the met promoter, resulting in increased expression of MET. In breast cancer, MET overexpression is associated with death caused by metastatic disease. Aim of this study is to investigate the role of HIF-1α in MET expression and metastasis in lymph node negative breast cancer. We recruited a homogeneous cohort of 104 patients with T 1-2N0M0 breast carcinoma, who had undergone primary surgery. Fifty-three patients had distant metastases and 51 patients had no evidence of disease for more than 10 years. We analyzed the expressions of HIF-1α and MET in these patients using immunohistochemistry. HIF-1α and MET were positively correlated (Spearman's rank correlation coefficient, 0.35; P < 0.01), were independent predictors of distant metastasis (P = 0.002 and P = 0.03, respectively), and correlated with poor 10-year disease-free survival rate (P < 0.001 for both). Furthermore, co-overexpression of HIF-1α and MET was a significant independent predictor of distant metastasis (odd radio, 10.78; P < 0.001), and patients with co-overexpression had a significantly worse 10-year disease-free survival rate. The results provide evidence that tumor hypoxia promotes metastasis through the induction of MET overexpression by HIF-1α and emphasize the promising status of HIF-1α as a therapeutic target against metastasis in node-negative breast cancer.

Original languageEnglish
Pages (from-to)167-175
Number of pages9
JournalBreast Cancer Research and Treatment
Volume103
Issue number2
DOIs
Publication statusPublished - 2007 Jun 1

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Hypoxia-Inducible Factor 1
Breast Neoplasms
Neoplasm Metastasis
Disease-Free Survival
Survival Rate
Nonparametric Statistics
Radio
Lymph Nodes
Immunohistochemistry

All Science Journal Classification (ASJC) codes

  • Oncology
  • Cancer Research

Cite this

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title = "Hypoxia-inducible factor-1α correlates with MET and metastasis in node-negative breast cancer",
abstract = "The mechanism of tumor hypoxia promoting metastasis remains uncertain. Hypoxia-inducible factor-1α (HIF-1α) is a key mediator of the cellular response to hypoxia and binds the met promoter, resulting in increased expression of MET. In breast cancer, MET overexpression is associated with death caused by metastatic disease. Aim of this study is to investigate the role of HIF-1α in MET expression and metastasis in lymph node negative breast cancer. We recruited a homogeneous cohort of 104 patients with T 1-2N0M0 breast carcinoma, who had undergone primary surgery. Fifty-three patients had distant metastases and 51 patients had no evidence of disease for more than 10 years. We analyzed the expressions of HIF-1α and MET in these patients using immunohistochemistry. HIF-1α and MET were positively correlated (Spearman's rank correlation coefficient, 0.35; P < 0.01), were independent predictors of distant metastasis (P = 0.002 and P = 0.03, respectively), and correlated with poor 10-year disease-free survival rate (P < 0.001 for both). Furthermore, co-overexpression of HIF-1α and MET was a significant independent predictor of distant metastasis (odd radio, 10.78; P < 0.001), and patients with co-overexpression had a significantly worse 10-year disease-free survival rate. The results provide evidence that tumor hypoxia promotes metastasis through the induction of MET overexpression by HIF-1α and emphasize the promising status of HIF-1α as a therapeutic target against metastasis in node-negative breast cancer.",
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Hypoxia-inducible factor-1α correlates with MET and metastasis in node-negative breast cancer. / Chen, Helen H.W; Su, Wu-Chou; Lin, Pin Wen; Guo, How-Ran; Lee, Wen Ying.

In: Breast Cancer Research and Treatment, Vol. 103, No. 2, 01.06.2007, p. 167-175.

Research output: Contribution to journalArticle

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