ReviewOncogene2003
Antiestrogen resistance in breast cancer and the role of estrogen receptor signaling.
Review in Oncogene, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 210 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
210 citing papers in PubMed, 473 citations in OpenAlex.
- Pharmacogenomic diversity of tamoxifen metabolites and estrogen receptor genes in Hispanics and non-Hispanic whites with breast cancer.Breast cancer research and treatment · 2014Trial
- Exon 7 splicing of ERα predicts poor prognosis and increases phenotypic heterogeneity in luminal a subtype breast cancer.FEBS open bio · 2026Article
- Role of Janus kinase-signal transducer and activator of transcription signaling pathway in hormonal cancer therapeutic resistance and lineage plasticity.Endocrinology · 2026Review
- Lipid Metabolism and Breast Cancer Therapy: An Integrative Literature Review.Breast cancer (Dove Medical Press) · 2026Review
- XBP1s Mediates Cross-resistance to Combination Treatment of CDK4/6 Inhibitors plus Endocrine Therapy in Breast Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- RVINN: a flexible modeling for inferring dynamic transcriptional and post-transcriptional regulation using physics-informed neural networks.Bioinformatics (Oxford, England) · 2025Article
- PARP14-mediated glycolysis enhances Tamoxifen resistance in estrogen receptor + breast cancer cells.Discover oncology · 2025Article
- FGFR4 in endocrine resistance: overexpression and estrogen regulation without direct causative role.Breast cancer research and treatment · 2025Article
- Applications of gene pair methods in clinical research: advancing precision medicine.Molecular biomedicine · 2025Review
- Novel FRET-Based Biosensors for Real-Time Monitoring of Estrogen Receptor Dimerization and Translocation Dynamics in Living Cells.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Impact of prolactin treatment on enhancing the cellular responses of MCF7 breast cancer cells to tamoxifen treatment.Discover oncology · 2024Article
- Integrated single-cell analysis reveals distinct epigenetic-regulated cancer cell states and a heterogeneity-guided core signature in tamoxifen-resistant breast cancer.Genome medicine · 2024Article
- Article
- Metabolomic Rewiring Promotes Endocrine Therapy Resistance in Breast Cancer.Cancer research · 2024Article
- Tamoxifen Response at Single-Cell Resolution in Estrogen Receptor-Positive Primary Human Breast Tumors.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023Article
- Current status and frontier tracking of clinical trials on Metformin for cancer treatment.Journal of cancer research and clinical oncology · 2023Review
- The Next-Generation Oral Selective Estrogen Receptor Degrader Camizestrant (AZD9833) Suppresses ER+ Breast Cancer Growth and Overcomes Endocrine and CDK4/6 Inhibitor Resistance.Cancer research · 2023Article
- Tamoxifen Response at Single Cell Resolution in Estrogen Receptor-Positive Primary Human Breast Tumors.bioRxiv : the preprint server for biology · 2023Article
- Adrenal Steroids and Resistance to Hormonal Blockade of Prostate and Breast Cancer.Endocrinology · 2023Review
- Can Patients with HER2-Low Breast Cancer Benefit from Anti-HER2 Therapies? A Review.Breast cancer (Dove Medical Press) · 2023Review
150 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 4 institutions in 1 country.
Funding
Abstract
Antiestrogens include agents such as tamoxifen, toremifene, raloxifene, and fulvestrant. Currently, tamoxifen is the only drug approved for use in breast cancer chemoprevention, and it remains the treatment of choice for most women with hormone receptor positive, invasive breast carcinoma. While antiestrogens have been available since the early 1970s, we still do not fully understand their mechanisms of action and resistance. Essentially, two forms of antiestrogen resistance occur: de novo resistance and acquired resistance. Absence of estrogen receptor (ER) expression is the most common de novo resistance mechanism, whereas a complete loss of ER expression is not common in acquired resistance. Antiestrogen unresponsiveness appears to be the major acquired resistance phenotype, with a switch to an antiestrogen-stimulated growth being a minor phenotype. Since antiestrogens compete with estrogens for binding to ER, clinical response to antiestrogens may be affected by exogenous estrogenic exposures. Such exposures include estrogenic hormone replacement therapies and dietary and environmental exposures that directly or indirectly increase a tumor's estrogenic environment. Whether antiestrogen resistance can be conferred by a switch from predominantly ERalpha to ERbeta expression remains unanswered, but predicting response to antiestrogen therapy requires only measurement of ERalpha expression. The role of altered receptor coactivator or corepressor expression in antiestrogen resistance also is unclear, and understanding their roles may be confounded by their ubiquitous expression and functional redundancy. We have proposed a gene network approach to exploring the mechanistic aspects of antiestrogen resistance. Using transcriptome and proteome analyses, we have begun to identify candidate genes that comprise one component of a larger, putative gene network. These candidate genes include NFkappaB, interferon regulatory factor-1, nucleophosmin, and the X-box binding protein-1. The network also may involve signaling through ras and MAPK, implicating crosstalk with growth factors and cytokines. Ultimately, signaling affects the expression/function of the proliferation and/or apoptotic machineries.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.