The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Basal-Like Breast Cancer: A Critical Review
Abstract
Recent gene expression profiling of breast cancer has identified specific subtypes with clinical, biologic, and therapeutic implications. The basal-like group of tumors is characterized by an expression signature similar to that of the basal/myoepithelial cells of the breast and is reported to have transcriptomic characteristics similar to those of tumors arising in BRCA1 germline mutation carriers. They are associated with aggressive behavior and poor prognosis, and typically do not express hormone receptors or HER-2 (“triple-negative” phenotype). Therefore, patients with basal-like cancers are unlikely to benefit from currently available targeted systemic therapy. Although basal-like tumors are characterized by distinctive morphologic, genetic, immunophenotypic, and clinical features, neither an accepted consensus on routine clinical identification and definition of this aggressive subtype of breast cancer nor a way of systematically classifying this complex group of tumors has been described. Different definitions are, therefore, likely to produce variable and contradictory results that may hamper consistent identification and development of treatment strategies for these tumors. In this review, we discuss definition, heterogeneity, morphologic spectrum, relation to BRCA1, and clinical significance of this important class of breast cancer.
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Targeting the DNA repair defect in BRCA mutant cells as a therapeutic strategy
Farmer, H., McCabe, N., Lord, C. J., Tutt, A. N. J., Johnson, D. A., Richardson, T. B., Santarosa, M., Dillon, K. J., Hickson, I., Knights, C., et al. (2005) · Nature · doi:10.1038/nature03445 · Cited by 6,683
Huang, F., Reeves, K., Han, X., Fairchild, C., Platero, S., Wong, T. W., Lee, F., Shaw, P., & Clark, E. (2007) · Cancer Research · doi:10.1158/0008-5472.can-06-3633 · Cited by 344
Cited by
Classification and prognosis of invasive breast cancer: from morphology to molecular taxonomy
Schnitt, S. J. (2010) · Modern Pathology · doi:10.1038/modpathol.2010.33 · Cited by 419
Metformin induces unique biological and molecular responses in triple negative breast cancer cells
Liu, B., Fan, Z., Edgerton, S. M., Deng, X.-S., Alimova, I. N., Lind, S. E., & Thor, A. D. (2009) · Cell Cycle · doi:10.4161/cc.8.13.8814 · Cited by 392
Triple‐negative breast cancer: Present challenges and new perspectives
Podo, F., Buydens, L. M. C., Degani, H., Hilhorst, R., Klipp, E., Gribbestad, I. S., Van Huffel, S., W.M. van Laarhoven, H., Luts, J., Monleon, D., et al. (2010) · Molecular Oncology · doi:10.1016/j.molonc.2010.04.006 · Cited by 299
Improved breast cancer histological grading using deep learning
Wang, Y., Acs, B., Robertson, S., Liu, B., Solorzano, L., Wählby, C., Hartman, J., & Rantalainen, M. (2022) · Annals of Oncology · doi:10.1016/j.annonc.2021.09.007 · Cited by 211
Mohammed, R. A. A., Ellis, I. O., Mahmmod, A. M., Hawkes, E. C., Green, A. R., Rakha, E. A., & Martin, S. G. (2011) · Modern Pathology · doi:10.1038/modpathol.2011.4 · Cited by 145
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Metadata
- Authors
- Rakha, E. A., Reis-Filho, J. S., & Ellis, I. O.
- Venue
- Journal of Clinical Oncology
- Published
- 2008-05-20
- Volume
- 26
- Issue
- 15
- Pages
- 2568-2581
- ISSN
- 0732-183X (ISSN-L)
- 1527-7755
- OpenAlex
- W2120512382
- Cited by
- 1,164
- References
- 2
- FWCI
- 28.10
- Type
- journal article
- Language
- en
- Open access
- closed
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