1. The androgen receptor as a surrogate marker for molecular apocrine breast cancer subtyping.
- Author
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Lakis S, Kotoula V, Eleftheraki AG, Batistatou A, Bobos M, Koletsa T, Timotheadou E, Chrisafi S, Pentheroudakis G, Koutras A, Zagouri F, Linardou H, and Fountzilas G
- Subjects
- Antineoplastic Agents pharmacology, Antineoplastic Agents therapeutic use, Antineoplastic Combined Chemotherapy Protocols, Biomarkers, Tumor metabolism, Chemotherapy, Adjuvant methods, Female, Humans, Middle Aged, Neoplasm Grading methods, Neoplasm Grading statistics & numerical data, Neoplasm Recurrence, Local diagnosis, Prognosis, Receptors, Estrogen metabolism, Risk Assessment, Survival Analysis, Androgen Receptor Antagonists pharmacology, Androgen Receptor Antagonists therapeutic use, Breast Neoplasms drug therapy, Breast Neoplasms metabolism, Breast Neoplasms pathology, Receptors, Androgen metabolism, Taxoids pharmacology, Taxoids therapeutic use
- Abstract
The Androgen Receptor (AR) is a potential prognostic marker and therapeutic target in breast cancer. We evaluated AR protein expression in high-risk breast cancer treated in the adjuvant setting. Tumors were subtyped into luminal (ER+/PgR±/AR±), molecular apocrine (MAC, [ER-/PgR-/AR+]) and hormone receptor negative carcinomas (HR-negative, [ER-/PgR-/AR-]). Subtyping was evaluated with respect to prognosis and to taxane therapy. High histologic grade (p < 0.001) and increased proliferation (p = 0.001) more often appeared in MAC and HR-negative than in luminal tumors. Patients with MAC had outcome comparable to the luminal group, while patients with HR-negative disease had increased risk for relapse and death. MAC outcome was favorable upon taxane-containing treatment; this remained significant upon multivariate analysis for overall survival (HR 0.31, 95%CI 0.13-0.74, interaction p = 0.035) and as a trend for time to relapse (p = 0.15). In conclusion, AR-related subtyping of breast cancer may be prognostic and serve for selecting optimal treatment combinations., (Copyright © 2014 Elsevier Ltd. All rights reserved.)
- Published
- 2014
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