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Relationship of cytoplasmic and nuclear estrogen receptors and progesterone receptors in human breast cancer.

Authors: R, Romić-Stojković; S, Gamulin;

Relationship of cytoplasmic and nuclear estrogen receptors and progesterone receptors in human breast cancer.

Abstract

The qualitative and quantitative relationships between cytoplasmic estrogen receptors (ERC), total nuclear estrogen receptors (ERN), and cytoplasmic progesterone receptors (PGR) in 74 primary and 23 metastatic human breast cancer tissues were studied. A positive correlation between the age of th patients and the receptor concentration was found only for ERC. Although ERN and PGR were more frequent in tumors with a higher level of ERC, there was no significant correlation between concentrations of either ERN or PGR and ERC. However, PGR were more frequent in ERN-positive than in ERN-negative tumors, irrespective of the presence of ERC. There was also a highly significant correlation between PGR and ERN concentrations. These findings support the assumption that induction of PGR by estrogen in human breast cancer is mediated by a mechanism involving nuclear receptors. Therefore, the ERN assay might increase the validity of steroid receptor determination for prediction of hormonal sensitivity of human breast cancer.

Keywords

Adult, Cell Nucleus, Cytoplasm, Age Factors, Breast Neoplasms, Middle Aged, Receptors, Estrogen, Humans, Female, Neoplasm Metastasis, Receptors, Progesterone, Aged

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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
28
Average
Top 10%
Top 10%
Related to Research communities
Cancer Research
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