AGR2 Predicts Tamoxifen Resistance in Postmenopausal Breast Cancer Patients
Joint Authors
Fabian, Pavel
Hrstka, Roman
Brychtova, Veronika
Vojtesek, Borivoj
Svoboda, Marek
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-09-03
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
Endocrine resistance is a significant problem in breast cancer treatment.
Thus identification and validation of novel resistance determinants is important to improve treatment efficacy and patient outcome.
In our work, AGR2 expression was determined by qRT-PCR in Tru-Cut needle biopsies from tamoxifen-treated postmenopausal breast cancer patients.
Our results showed inversed association of AGR2 mRNA levels with primary treatment response (P=0.0011) and progression-free survival (P=0.0366) in 61 ER-positive breast carcinomas.
As shown by our experimental and clinical evaluations, elevated AGR2 expression predicts decreased efficacy of tamoxifen treatment.
From this perspective, AGR2 is a potential predictive biomarker enabling selection of an optimal algorithm for adjuvant hormonal therapy in postmenopausal ER-positive breast cancer patients.
American Psychological Association (APA)
Hrstka, Roman& Brychtova, Veronika& Fabian, Pavel& Vojtesek, Borivoj& Svoboda, Marek. 2013. AGR2 Predicts Tamoxifen Resistance in Postmenopausal Breast Cancer Patients. Disease Markers،Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-1031224
Modern Language Association (MLA)
Hrstka, Roman…[et al.]. AGR2 Predicts Tamoxifen Resistance in Postmenopausal Breast Cancer Patients. Disease Markers No. 2013 (2013), pp.1-6.
https://search.emarefa.net/detail/BIM-1031224
American Medical Association (AMA)
Hrstka, Roman& Brychtova, Veronika& Fabian, Pavel& Vojtesek, Borivoj& Svoboda, Marek. AGR2 Predicts Tamoxifen Resistance in Postmenopausal Breast Cancer Patients. Disease Markers. 2013. Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-1031224
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1031224