The DOI matches its Crossref record; 114 of the 114 references it cites were found in a registry or an index.
Epigenetic mechanisms in breast cancer therapy and resistance
Open accessAbstract
The majority of breast cancers express the estrogen receptor (ERα) and agents targeting this pathway represent the main treatment modality. Endocrine therapy has proven successful in the treatment of hormone-responsive breast cancer since its early adoption in the 1940s as an ablative therapy. Unfortunately, therapeutic resistance arises, leading to disease recurrence and relapse. Recent studies increased our understanding in how changes to the chromatin landscape and deregulation of epigenetic factors orchestrate the resistant phenotype. Here, we will discuss how the epigenome is an integral determinant in hormone therapy response and why epigenetic factors are promising targets for overcoming clinical resistance.
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Cites
Dynamic RNA Modifications in Gene Expression Regulation
Roundtree, I. A., Evans, M. E., Pan, T., & He, C. (2017) · Cell · doi:10.1016/j.cell.2017.05.045 · Cited by 3,399
Palbociclib and letrozole in advanced breast cancer
Finn, R. S., Martin, M., Rugo, H. S., Jones, S., Im, S.-A., Gelmon, K., Harbeck, N., Lipatov, O. N., Walshe, J. M., Moulder, S., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1607303 · Cited by 3,007
Reading, writing and erasing mRNA methylation
Zaccara, S., Ries, R. J., & Jaffrey, S. R. (2019) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-019-0168-5 · Cited by 2,597
Cofactor Dynamics and Sufficiency in Estrogen Receptor–Regulated Transcription
Shang, Y., Hu, X., DiRenzo, J., Lazar, M. A., & Brown, M. (2000) · Cell · doi:10.1016/s0092-8674(00)00188-4 · Cited by 1,657
Beatson, G. (1896) · The Lancet · doi:10.1016/s0140-6736(01)72384-7 · Cited by 1,608
Roulois, D., Loo Yau, H., Singhania, R., Wang, Y., Danesh, A., Shen, S. Y., Han, H., Liang, G., Jones, P. A., Pugh, T. J., et al. (2015) · Cell · doi:10.1016/j.cell.2015.07.056 · Cited by 1,527
Métivier, R., Penot, G., Hübner, M. R., Reid, G., Brand, H., Koš, M., & Gannon, F. (2003) · Cell · doi:10.1016/s0092-8674(03)00934-6 · Cited by 1,431
Björnström, L., & Sjöberg, M. (2005) · Molecular Endocrinology · doi:10.1210/me.2004-0486 · Cited by 1,362
Role of RNA modifications in cancer
Barbieri, I., & Kouzarides, T. (2020) · Nature Reviews Cancer · doi:10.1038/s41568-020-0253-2 · Cited by 1,312
Cited by
Breast Cancer Metastasis: Mechanisms and Therapeutic Implications
Park, M., Kim, D., Ko, S., Kim, A., Mo, K., & Yoon, H. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23126806 · Cited by 406
A Basic Review on Estrogen Receptor Signaling Pathways in Breast Cancer
Clusan, L., Ferrière, F., Flouriot, G., & Pakdel, F. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24076834 · Cited by 382
Epigenetic modulation of antitumor immunity for improved cancer immunotherapy
Dai, E., Zhu, Z., Wahed, S., Qu, Z., Storkus, W. J., & Guo, Z. S. (2021) · Molecular Cancer · doi:10.1186/s12943-021-01464-x · Cited by 328
Recent updates on innovative approaches to overcome drug resistance for better outcomes in cancer
Sharma, M., Bakshi, A. K., Mittapelly, N., Gautam, S., Marwaha, D., Rai, N., Singh, N., Tiwari, P., Agarwal, N., Kumar, A., et al. (2022) · Journal of Controlled Release · doi:10.1016/j.jconrel.2022.04.007 · Cited by 84
Arylamine N-acetyltransferase 1 activity is regulated by the protein acetylation status
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Metadata
- Authors
- Garcia-Martinez, L., Zhang, Y., Nakata, Y., Chan, H. L., & Morey, L.
- Venue
- Nature Communications
- Published
- 2021-03-19
- Volume
- 12
- Issue
- 1
- Pages
- 1786-1786
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W3138977384
- Cited by
- 458
- References
- 114
- FWCI
- 20.73
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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