The DOI matches its Crossref record; 106 of the 106 references it cites were found in a registry or an index.
Selective Estrogen-Receptor Modulators and Antihormonal Resistance in Breast Cancer
Abstract
Selective estrogen-receptor (ER) modulators (SERMs) are synthetic nonsteroidal compounds that switch on and switch off target sites throughout the body. Tamoxifen, the pioneering SERM, blocks estrogen action by binding to the ER in breast cancers. Tamoxifen has been used ubiquitously in clinical practice during the last 30 years for the treatment of breast cancer and is currently available to reduce the risk of breast cancer in high-risk women. Raloxifene maintains bone density (estrogen-like effect) in postmenopausal osteoporotic women, but at the same time reduces the incidence of breast cancer in both high- and low-risk (osteoporotic) postmenopausal women. Unlike tamoxifen, raloxifene does not increase the incidence of endometrial cancer. Clearly, the simple ER model of estrogen action can no longer be used to explain SERM action at different sites around the body. Instead, a new model has evolved on the basis of the discovery of protein partners that modulate estrogen action at distinct target sites. Coactivators are the principal players that assemble a complex of functional proteins around the ligand ER complex to initiate transcription of a target gene at its promoter site. A promiscuous SERM ER complex creates a stimulatory signal in growth factor receptor–rich breast or endometrial cancer cells. These events cause drug-resistant, SERM-stimulated growth. The sometimes surprising pharmacology of SERMs has resulted in a growing interest in the development of new selective medicines for other members of the nuclear receptor superfamily. This will allow the precise treatment of diseases that was previously considered impossible.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The nuclear receptor superfamily: the second decade
Mangelsdorf, D. J., Thummel, C., Beato, M., Herrlich, P., Schütz, G., Umesono, K., Blumberg, B., Kastner, P., Mark, M., Chambon, P., et al. (1995) · Cell · doi:10.1016/0092-8674(95)90199-x · Cited by 6,964
Fisher, B., Costantino, J. P., Wickerham, D. L., Redmond, C. K., Kavanah, M., Cronin, W. M., Vogel, V., Robidoux, A., Dimitrov, N., Atkins, J., et al. (1998) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/90.18.1371 · Cited by 5,485
Tamoxifen for early breast cancer: an overview of the randomised trials
(1998) · The Lancet · doi:10.1016/s0140-6736(97)11423-4 · Cited by 4,085
Molecular basis of agonism and antagonism in the oestrogen receptor
Brzozowski, A. M., Pike, A. C. W., Dauter, Z., Hubbard, R. E., Bonn, T., Engström, O., Öhman, L., Greene, G. L., Gustafsson, J.-Å., & Carlquist, M. (1997) · Nature · doi:10.1038/39645 · Cited by 3,355
MOLECULAR MECHANISMS OF ACTION OF STEROID/THYROID RECEPTOR SUPERFAMILY MEMBERS
Tsai, M.-J., & O'Malley, B. W. (1994) · Annual Review of Biochemistry · doi:10.1146/annurev.bi.63.070194.002315 · Cited by 2,932
Self-citationShiau, A. K., Barstad, D., Loria, P. M., Cheng, L., Kushner, P. J., Agard, D. A., & Greene, G. L. (1998) · Cell · doi:10.1016/s0092-8674(00)81717-1 · Cited by 2,729
Sequence and Characterization of a Coactivator for the Steroid Hormone Receptor Superfamily
Oñate, S. A., Tsai, S. Y., Tsai, M.-J., & O'Malley, B. W. (1995) · Science · doi:10.1126/science.270.5240.1354 · Cited by 2,387
Self-citationThe coregulator exchange in transcriptional functions of nuclear receptors
Glass, C. K., & Rosenfeld, M. G. (2000) · Genes & Development · doi:10.1101/gad.14.2.121 · Cited by 2,233
Cited by
Biological determinants of endocrine resistance in breast cancer
Musgrove, E. A., & Sutherland, R. L. (2009) · Nature Reviews Cancer · doi:10.1038/nrc2713 · Cited by 1,252
Molecular mechanism of estrogen–estrogen receptor signaling
Yaşar, P., Ayaz, G., User, S. D., Güpür, G., & Muyan, M. (2017) · Reproductive Medicine and Biology · doi:10.1002/rmb2.12006 · Cited by 482
Nepali, K., Sharma, S., Sharma, M., Bedi, P. M. S., & Dhar, K. L. (2014) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2014.03.018 · Cited by 435
Cracking the Estrogen Receptor's Posttranslational Code in Breast Tumors
Le Romancer, M., Poulard, C., Cohen, P., Sentis, S., Renoir, J.-M., & Corbo, L. (2011) · Endocrine Reviews · doi:10.1210/er.2010-0016 · Cited by 313
Role of the Aryl Hydrocarbon Receptor in Carcinogenesis and Potential as a Drug Target
Safe, S., Lee, S.-O., & Jin, U.-H. (2013) · Toxicological Sciences · doi:10.1093/toxsci/kft128 · Cited by 264
Metadata
- Authors
- Jordan, V. C., & O'Malley, B. W.
- Venue
- Journal of Clinical Oncology
- Published
- 2007-12-20
- Volume
- 25
- Issue
- 36
- Pages
- 5815-5824
- ISSN
- 0732-183X (ISSN-L)
- 1527-7755
- OpenAlex
- W2052358607
- Cited by
- 324
- References
- 106
- FWCI
- 13.90
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Selective Estrogen-Receptor Modulators and Antihormonal Resistance in Breast Cancer. https://app.cochat.ai/papers/10.1200/jco.2007.11.3886
- The paper
- Jordan, V. C., & O'Malley, B. W. (2007). Selective Estrogen-Receptor Modulators and Antihormonal Resistance in Breast Cancer. Journal of Clinical Oncology. https://doi.org/10.1200/jco.2007.11.3886
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.