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Cited by 203

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Advances in estrogen receptor biology: prospects for improvements in targeted breast cancer therapy

Open access
Shao, Wenlin, Brown, Myles·2003·Breast Cancer Research

Abstract

Estrogen receptor (ER) has a crucial role in normal breast development and is expressed in the most common breast cancer subtypes. Importantly, its expression is very highly predictive for response to endocrine therapy. Current endocrine therapies for ER-positive breast cancers target ER function at multiple levels. These include targeting the level of estrogen, blocking estrogen action at the ER, and decreasing ER levels. However, the ultimate effectiveness of therapy is limited by either intrinsic or acquired resistance. Identifying the factors and pathways responsible for sensitivity and resistance remains a challenge in improving the treatment of breast cancer. With a better understanding of coordinated action of ER, its coregulatory factors, and the influence of other intracellular signaling cascades, improvements in breast cancer therapy are emerging.

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Crossref · 10.1186/bcr742

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Metadata

Authors
Shao, W., & Brown, M.
Venue
Breast Cancer Research
Published
2003-02
Volume
6
Issue
1
Pages
39-52
ISSN
  • 1465-5411 (ISSN-L)
  • 1465-542X
OpenAlex
W1821437119
Cited by
203
References
6
FWCI
4.86
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Advances in estrogen receptor biology: prospects for improvements in targeted breast cancer therapy. https://app.cochat.ai/papers/10.1186/bcr742
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Shao, W., & Brown, M. (2003). Advances in estrogen receptor biology: prospects for improvements in targeted breast cancer therapy. Breast Cancer Research. https://doi.org/10.1186/bcr742

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.