BACKGROUND: Adjuvant tamoxifen is a valid treatment option for women with oestrogen receptor (ER)-positive breast cancer. However, up to 40% of patients experience distant or local recurrence or die. MicroRNAs have been suggested to be important prognosticators in breast cancer. This study aims to identify microRNAs with the potential to predict tamoxifen response. PATIENTS AND METHODS: We performed a global microRNA screen (1105 human microRNAs) in primary tumours of six matched pairs of postmenopausal, ER-positive breast cancer patients treated with tamoxifen, who were either recurrence free or had developed a recurrence (median follow up: 8.84 years; range: 1.28-12.7 years). Patients of this discovery set and the 81 patients of the validation set (median follow up: 8.64 years; range: 0.21-19.85 years) were treated at the Robert Bosch Hospital, Stuttgart, Germany, between 1986 and 2005. RESULTS: Out of the top 20 deregulated microRNAs (12 up-regulated, eight down-regulated) miR-126 (Hazard Ratio (HR) = 0.56, 95% confidence interval (CI): 0.38-0.83; Holm-adj. P = 0.022) and miR-10a (HR = 0.53, 95% CI: 0.33-0.85; Holm-adj. P = 0.031) were identified as significant predictors of tamoxifen outcome by multivariate Cox regression analysis in the independent validation set of 81 postmenopausal, ER-positive patients. Kaplan-Meier survival analyses based on cut-offs determined by receiver operating characteristics curves confirmed that a higher expression of miR-126 and miR-10a in the patients tumour was associated with longer relapse-free time (log-rank P = 0.037, P<0.0001, respectively). CONCLUSIONS: Our data suggest that miR-126 and miR-10a are independent predictors for tumour relapse in early postmenopausal breast cancer patients treated with adjuvant tamoxifen.
BACKGROUND: Adjuvant tamoxifen is a valid treatment option for women with oestrogen receptor (ER)-positive breast cancer. However, up to 40% of patients experience distant or local recurrence or die. MicroRNAs have been suggested to be important prognosticators in breast cancer. This study aims to identify microRNAs with the potential to predict tamoxifen response. PATIENTS AND METHODS: We performed a global microRNA screen (1105 human microRNAs) in primary tumours of six matched pairs of postmenopausal, ER-positive breast cancerpatients treated with tamoxifen, who were either recurrence free or had developed a recurrence (median follow up: 8.84 years; range: 1.28-12.7 years). Patients of this discovery set and the 81 patients of the validation set (median follow up: 8.64 years; range: 0.21-19.85 years) were treated at the Robert Bosch Hospital, Stuttgart, Germany, between 1986 and 2005. RESULTS: Out of the top 20 deregulated microRNAs (12 up-regulated, eight down-regulated) miR-126 (Hazard Ratio (HR) = 0.56, 95% confidence interval (CI): 0.38-0.83; Holm-adj. P = 0.022) and miR-10a (HR = 0.53, 95% CI: 0.33-0.85; Holm-adj. P = 0.031) were identified as significant predictors of tamoxifen outcome by multivariate Cox regression analysis in the independent validation set of 81 postmenopausal, ER-positive patients. Kaplan-Meier survival analyses based on cut-offs determined by receiver operating characteristics curves confirmed that a higher expression of miR-126 and miR-10a in the patientstumour was associated with longer relapse-free time (log-rank P = 0.037, P<0.0001, respectively). CONCLUSIONS: Our data suggest that miR-126 and miR-10a are independent predictors for tumour relapse in early postmenopausal breast cancerpatients treated with adjuvant tamoxifen.
Authors: Juliana Carvalho Santos; Marcelo Lima Ribeiro; Luis Otávio Sarian; Manoela Marques Ortega; Sophie Françoise Derchain Journal: Am J Cancer Res Date: 2016-10-01 Impact factor: 6.166
Authors: Ruoxi Hu; Wenchi Pan; Alexey V Fedulov; William Jester; Matthew R Jones; Scott T Weiss; Reynold A Panettieri; Kelan Tantisira; Quan Lu Journal: FASEB J Date: 2014-02-12 Impact factor: 5.191