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Clinical implications of the intrinsic molecular subtypes of breast cancer
Open accessAbstract
Gene-expression profiling has had a considerable impact on our understanding of breast cancer biology. During the last 15 years, 5 intrinsic molecular subtypes of breast cancer (Luminal A, Luminal B, HER2-enriched, Basal-like and Claudin-low) have been identified and intensively studied. In this review, we will focus on the current and future clinical implications of the intrinsic molecular subtypes beyond the current pathological-based classification endorsed by the 2013 St. Gallen Consensus Recommendations. Within hormone receptor-positive and HER2-negative early breast cancer, the Luminal A and B subtypes predict 10-year outcome regardless of systemic treatment administered as well as residual risk of distant recurrence after 5 years of endocrine therapy. Within clinically HER2-positive disease, the 4 main intrinsic subtypes can be identified and dominate the biological and clinical phenotype. From a clinical perspective, patients with HER2+/HER2-enriched disease seem to benefit the most from neoadjuvant trastuzumab, or dual HER2 blockade with trastuzumab/lapatinib, in combination with chemotherapy, and patients with HER2+/Luminal A disease seem to have a relative better outcome compared to the other subtypes. Finally, within triple-negative breast cancer (TNBC), the Basal-like disease predominates (70-80%) and, from a biological perspective, should be considered a cancer-type by itself. Importantly, the distinction between Basal-like versus non-Basal-like within TNBC might predict survival following (neo)adjvuvant multi-agent chemotherapy, bevacizumab benefit in the neoadjuvant setting (CALGB40603), and docetaxel vs. carboplatin benefit in first-line metastatic disease (TNT study). Overall, this data suggests that intrinsic molecular profiling provides clinically relevant information beyond current pathology-based classifications.
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Cites
Comprehensive molecular portraits of human breast tumours
The Cancer Genome Atlas Network (2012) · Nature · doi:10.1038/nature11412 · Cited by 12,129
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Cited by
Braman, N. M., Etesami, M., Prasanna, P., Dubchuk, C., Gilmore, H., Tiwari, P., Plecha, D., & Madabhushi, A. (2017) · Breast Cancer Research · doi:10.1186/s13058-017-0846-1 · Cited by 632
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
Hereditary breast and ovarian cancer: new genes in confined pathways
Nielsen, F. C., van Overeem Hansen, T., & Sørensen, C. S. (2016) · Nature Reviews Cancer · doi:10.1038/nrc.2016.72 · Cited by 367
Biological Function of Long Non-coding RNA (LncRNA) Xist
Wang, W., Min, L., Qiu, X., Wu, X., Liu, C., Ma, J., Zhang, D., & Zhu, L. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.645647 · Cited by 248
Immunotherapy in breast cancer: Current status and future directions
(2019) · Advances in Cancer Research · doi:10.1016/bs.acr.2019.03.006 · Cited by 109
Metadata
- Authors
- Prat, A., Pineda, E., Adamo, B., Galván, P., Fernández, A., Gaba, L., Díez, M., Viladot, M., Arance, A., & Muñoz, M.
- Venue
- The Breast
- Publisher
- Elsevier BV
- Published
- 2015-11
- Volume
- 24
- Pages
- S26-S35
- ISSN
- 0960-9776 (ISSN-L)
- OpenAlex
- W2141414987
- Cited by
- 1,319
- References
- 3
- FWCI
- 16.98
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Prat, A., Pineda, E., Adamo, B., Galván, P., Fernández, A., Gaba, L., Díez, M., Viladot, M., Arance, A., & Muñoz, M. (2015). Clinical implications of the intrinsic molecular subtypes of breast cancer. The Breast. https://doi.org/10.1016/j.breast.2015.07.008
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