Overcoming Endocrine Resistance in Breast Cancer
Open accessAbstract
Estrogen receptor-positive (ER+) breast cancer is the most common breast cancer subtype. Treatment of ER+ breast cancer comprises interventions that suppress estrogen production and/or target the ER directly (overall labeled as endocrine therapy). While endocrine therapy has considerably reduced recurrence and mortality from breast cancer, de novo and acquired resistance to this treatment remains a major challenge. An increasing number of mechanisms of endocrine resistance have been reported, including somatic alterations, epigenetic changes, and changes in the tumor microenvironment. Here, we review recent advances in delineating mechanisms of resistance to endocrine therapies and potential strategies to overcome such resistance.
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An increasing number of endocrine-resistance mechanisms have been characterized, and several small molecules have been reported to overcome Tamoxifen resistance.
“An increasing number of endocrine-resistance mechanisms have been characterized, and several small molecules have been reported to overcome Tamoxifen resistance58,59.”
From Harnessing artificial intelligence to identify Bufalin as a molecular glue degrader of estrogen receptor alpha (2025) · cites this paper as [59]
The Introduction describes recent discoveries of endocrine-resistance mechanisms. The ‘Aberrant co-factor activity’ section says tamoxifen-resistant cells may remain sensitive to selective estrogen receptor degraders, but it does not report that several small molecules have overcome tamoxifen resistance specifically. (LLM, conf=0.84)
Experimental — accuracy not yet measuredTamoxifen resistance remains a major challenge in treating estrogen receptor-positive breast cancer.
“Tamoxifen (TAM) resistance remains a significant challenge in treating estrogen receptor (ER)-positive breast cancer.”
From Multifunctional and dual-targeting polymeric prodrug nanomicelles against tamoxifen-resistant breast cancer (2026) · cites this paper as [9]
Fulvestrant is a standard therapeutic option for endocrine-resistant or advanced metastatic ER+ breast cancer.
“Fulvestrant is a standard therapeutic option for endocrine-resistant or advanced metastatic ER+ breast cancer59,60.”
From Harnessing artificial intelligence to identify Bufalin as a molecular glue degrader of estrogen receptor alpha (2025) · cites this paper as [59]
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Self-citation
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- Authors
- Hanker, A. B., Sudhan, D. R., & Arteaga, C. L.
- Affiliations
- Harold C. Simmons Comprehensive Cancer Center (US)
- Corresponding author
- Hanker, Ariella B.
- Arteaga, Carlos L.
- Venue
- Cancer Cell
- Publisher
- Elsevier BV
- Published
- 2020-04
- Volume
- 37
- Issue
- 4
- Pages
- 496-513
- ISSN
- 1535-6108 (ISSN-L)
- PMC
- PMC7169993
- OpenAlex
- W3015634062
- Cited by
- 927
- References
- 200
- Citations by year
- 2026: 123 · 2025: 191 · 2024: 213 · 2023: 171 · 2022: 135 · 2021: 70 · 2020: 21 · 2019: 1
- FWCI
- 14.28
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cancer Cell (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Cancer Institute
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Estrogen and related hormone effects
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Advanced Breast Cancer Therapies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Breast Cancer Treatment Studies
- Keywords
- breast cancer, endocrine therapy resistance, endocrine therapy, estrogen receptor, acquired resistance, de novo resistance, epigenetic modifications, tumor microenvironment, somatic alterations, resistance mechanisms, overcoming resistance
- MeSH terms
- Breast Neoplasms, Female, Humans, Receptors, Estrogen, Antineoplastic Agents, Hormonal, Drug Resistance, Neoplasm, Disease Management, Tumor Microenvironment
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.
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