AGR2 predicts tamoxifen resistance in postmenopausal breast cancer patients
Jazyk angličtina Země Spojené státy americké Médium print-electronic
Typ dokumentu časopisecké články, práce podpořená grantem
PubMed
24167368
PubMed Central
PMC3776368
DOI
10.1155/2013/761537
Knihovny.cz E-zdroje
- MeSH
- chemorezistence genetika MeSH
- hormonální protinádorové látky terapeutické užití MeSH
- karcinom diagnóza farmakoterapie genetika metabolismus MeSH
- lidé středního věku MeSH
- lidé MeSH
- messenger RNA genetika metabolismus MeSH
- mukoproteiny MeSH
- nádorové biomarkery genetika metabolismus MeSH
- nádory prsu diagnóza farmakoterapie genetika metabolismus MeSH
- onkogenní proteiny MeSH
- postmenopauza metabolismus MeSH
- proteiny genetika metabolismus MeSH
- regulace genové exprese u nádorů MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- studie případů a kontrol MeSH
- tamoxifen terapeutické užití MeSH
- výsledek terapie MeSH
- Check Tag
- lidé středního věku MeSH
- lidé MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Názvy látek
- AGR2 protein, human MeSH Prohlížeč
- hormonální protinádorové látky MeSH
- messenger RNA MeSH
- mukoproteiny MeSH
- nádorové biomarkery MeSH
- onkogenní proteiny MeSH
- proteiny MeSH
- tamoxifen MeSH
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.
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