scholarly journals Prognostic value of estrogen receptor α and progesterone receptor conversion in distant breast cancer metastases

Cancer ◽  
2012 ◽  
Vol 118 (20) ◽  
pp. 4929-4935 ◽  
Author(s):  
Laurien D. C. Hoefnagel ◽  
Cathy B. Moelans ◽  
S. L. Meijer ◽  
Henk-Jan van Slooten ◽  
Pieter Wesseling ◽  
...  
2020 ◽  
Vol 148 (3) ◽  
pp. 692-701
Author(s):  
Zong‐Bi Yi ◽  
Pei Yu ◽  
Su Zhang ◽  
Wen‐Na Wang ◽  
Yi‐Qun Han ◽  
...  

2001 ◽  
Vol 128 (1) ◽  
pp. 55-60 ◽  
Author(s):  
M. Branković-Magić ◽  
R. Janković ◽  
Z. Nešković-Konstantinović ◽  
D. Nikolić-Vukosavljević

Cancers ◽  
2021 ◽  
Vol 13 (19) ◽  
pp. 4755
Author(s):  
Michał Kunc ◽  
Marta Popęda ◽  
Wojciech Biernat ◽  
Elżbieta Senkus

Estrogen receptor α (ERα) and progesterone receptor (PgR) are crucial prognostic and predictive biomarkers that are usually co-expressed in breast cancer (BC). However, 12–24% of BCs present ERα(+)/PgR(−) phenotype at immunohistochemical evaluation. In fact, BC may either show primary PgR(−) status (in chemonaïve tumor sample), lose PgR expression during neoadjuvant treatment, or acquire PgR(−) phenotype in local relapse or metastasis. The loss of PgR expression in ERα(+) breast cancer may signify resistance to endocrine therapy and poorer outcomes. On the other hand, ERα(+)/PgR(−) BCs may have a better response to neoadjuvant chemotherapy than double-positive tumors. Loss of PgR expression may be a result of pre-transcriptional alterations (copy number loss, mutation, epigenetic modifications), decreased transcription of the PGR gene (e.g. by microRNAs), and post-translational modifications (e.g. phosphorylation, sumoylation). Various processes involved in the down-regulation of PgR have distinct consequences on the biology of cancer cells. Occasionally, negative PgR status detected by immunohistochemical analysis is paradoxically associated with enhanced transcriptional activity of PgR that might be inhibited by antiprogestin treatment. Identification of the mechanism of PgR loss in each patient seems challenging, yet it may provide important information on the biology of the tumor and predict its responsiveness to the therapy.


2018 ◽  
Vol 110 (6) ◽  
pp. 568-580 ◽  
Author(s):  
Willemijne A M E Schrijver ◽  
Karijn P M Suijkerbuijk ◽  
Carla H van Gils ◽  
Elsken van der Wall ◽  
Cathy B Moelans ◽  
...  

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