Agoraphobia and Follicle-Stimulating Hormone Levels between Tamoxifen and Goserelin versus Tamoxifen Alone in Premenopausal Hormone Receptor-Positive Breast Cancer: A 12-Month Prospective Randomized Study

Objective: Tamoxifen is an estrogen receptor antagonist used to prevent recurrence of breast cancer, which may provoke depression and anxiety and increase follicle-stimulating hormone (FSH) to patients. We compared anxiety and depression symptoms and FSH levels who received conventional tamoxifen alone and combination treatment of goserelin, a gonadotropin-releasing hormone (GnRH) analogue, with tamoxifen. Methods: Sixty-four premenopausal women with hormone receptor-positive early-stage breast cancer were included and were assigned randomly to receive either tamoxifen and goserelin combination or tamoxifen alone for 12 months. The participants were evaluated blindly using the Hamilton Depression and Anxiety Rating Scale, the Beck Depression Rating Scale, and the Albany Panic and Phobia Questionnaire (APPQ). Blood FSH levels were assessed at baseline, 6 and 12 months. Results: A significant time×group difference was detected in the agoraphobia trends subscale of the APPQ and in FSH levels. The combination group showed significantly less increases in agoraphobia subscale of APPQ and greater decreases in FSH level than those in the tamoxifen-alone group from baseline to 12 months of treatment. No significant differences for age, tumor grade, body mass index, or family history were found at baseline between the two groups. Conclusion: Our results suggest that the combination treatment of tamoxifen and goserelin resulted in less agoraphobia than tamoxifen alone in premenopausal women with breast cancer, which may associated with FSH suppression of goserelin

Distinguishing Low-Risk Luminal A Breast Cancer Subtypes with Ki-67 and p53 Is More Predictive of Long-Term Survival.

Overexpression of p53 is the most frequent genetic alteration in breast cancer. Recently, many studies have shown that the expression of mutant p53 differs for each subtype of breast cancer and is associated with different prognoses. In this study, we aimed to determine the suitable cut-off value to predict the clinical outcome of p53 overexpression and its usefulness as a prognostic factor in each subtype of breast cancer, especially in luminal A breast cancer. Approval was granted by the Institutional Review Board of Samsung Medical Center. We analyzed a total of 7,739 patients who were surgically treated for invasive breast cancer at Samsung Medical Center between Dec 1995 and Apr 2013. Luminal A subtype was defined as ER&PR + and HER2- and was further subclassified according to Ki-67 and p53 expression as follows: luminal A (Ki-67-,p53-), luminal A (Ki-67+, p53-), luminal A (Ki-67 -, p53+) and luminal A (Ki-67+, p53+). Low-risk luminal A subtype was defined as negative for both Ki-67 and p53 (luminal A [ki-67-, p53-]), and others subtypes were considered to be high-risk luminal A breast cancer. A cut-off value of 10% for p53 was a good predictor of clinical outcome in all patients and luminal A breast cancer patients. The prognostic role of p53 overexpression for OS and DFS was only significant in luminal A subtype. The combination of p53 and Ki-67 has been shown to have the best predictive power as calculated by the area under curve (AUC), especially for long-term overall survival. In this study, we have shown that overexpression of p53 and Ki-67 could be used to discriminate low-risk luminal A subtype in breast cancer. Therefore, using the combination of p53 and Ki-67 expression in discriminating low-risk luminal A breast cancer may improve the prognostic power and provide the greatest clinical utility

Clinical outcomes of luminal A breast cancer stratified according to p53 and Ki-67 expression (A) overall survival, (B) disease-free survival.

<p>Clinical outcomes of luminal A breast cancer stratified according to p53 and Ki-67 expression (A) overall survival, (B) disease-free survival.</p

AUC curve over time.

<p>(A) overall survival, (B) disease-free survival.</p

Adjusted AUC curve over time.

<p>(A) overall survival, (B) disease-free survival.</p

Clinical outcomes of each subtype according to p53 expression (A-D) Overall survival, (E-H) Disease-free survival.

<p>Clinical outcomes of each subtype according to p53 expression (A-D) Overall survival, (E-H) Disease-free survival.</p