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Breast Cancer Subtypes and the Risk of Local and Regional Relapse
Abstract
Purpose: The risk of local and regional relapse associated with each breast cancer molecular subtype was determined in a large cohort of patients with breast cancer. Subtype assignment was accomplished using a validated six-marker immunohistochemical panel applied to tissue microarrays. Patients and Methods: Semiquantitative analysis of estrogen receptor (ER), progesterone receptor (PR), Ki-67, human epidermal growth factor receptor 2 (HER2), epidermal growth factor receptor (EGFR), and cytokeratin (CK) 5/6 was performed on tissue microarrays constructed from 2,985 patients with early invasive breast cancer. Patients were classified into the following categories: luminal A, luminal B, luminal-HER2, HER2 enriched, basal-like, or triple-negative phenotype–nonbasal. Multivariable Cox analysis was used to determine the risk of local or regional relapse associated the intrinsic subtypes, adjusting for standard clinicopathologic factors. Results: The intrinsic molecular subtype was successfully determined in 2,985 tumors. The median follow-up time was 12 years, and there have been a total of 325 local recurrences and 227 regional lymph node recurrences. Luminal A tumors (ER or PR positive, HER2 negative, Ki-67 < 1%) had the best prognosis and the lowest rate of local or regional relapse. For patients undergoing breast conservation, HER2-enriched and basal subtypes demonstrated an increased risk of regional recurrence, and this was statistically significant on multivariable analysis. After mastectomy, luminal B, luminal-HER2, HER2-enriched, and basal subtypes were all associated with an increased risk of local and regional relapse on multivariable analysis. Conclusion: Luminal A tumors are associated with a low risk of local or regional recurrence. Molecular subtyping of breast tumors using a six-marker immunohistochemical panel can identify patients at increased risk of local and regional recurrence.
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Cites
Gene expression profiling predicts clinical outcome of breast cancer
van 't Veer, L. J., Dai, H., van de Vijver, M. J., He, Y. D., Hart, A. A. M., Mao, M., Peterse, H. L., van der Kooy, K., Marton, M. J., Witteveen, A. T., et al. (2002) · Nature · doi:10.1038/415530a · Cited by 9,536
Triple-negative breast cancer: clinical features and patterns of recurrence
Dent, R., Trudeau, M., Pritchard, K. I., Hanna, W. M., Kahn, H. K., Sawka, C. A., Lickley, L. A., Rawlinson, E., Sun, P., & Narod, S. A. (2007) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-06-3045 · Cited by 5,091
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Houssami, N., Macaskill, P., Luke Marinovich, M., & Morrow, M. (2014) · Annals of Surgical Oncology · doi:10.1245/s10434-014-3480-5 · Cited by 532
EMT, CTCs and CSCs in tumor relapse and drug-resistance
Mitra, A., Mishra, L., & Li, S. (2015) · Oncotarget · doi:10.18632/oncotarget.4037 · Cited by 465
The role of HER2, EGFR, and other receptor tyrosine kinases in breast cancer
Hsu, J. L., & Hung, M.-C. (2016) · Cancer and Metastasis Reviews · doi:10.1007/s10555-016-9649-6 · Cited by 445
Torres-Roca, J. F. (2012) · Personalized Medicine · doi:10.2217/pme.12.55 · Cited by 81
A microRNA Signature Associated with Early Recurrence in Breast Cancer
Pérez-Rivas, L. G., Jerez, J. M., Carmona, R., de Luque, V., Vicioso, L., Claros, M. G., Viguera, E., Pajares, B., Sánchez, A., Ribelles, N., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0091884 · Cited by 67
Metadata
- Authors
- Voduc, K. D., Cheang, M. C. U., Tyldesley, S., Gelmon, K., Nielsen, T. O., & Kennecke, H.
- Venue
- Journal of Clinical Oncology
- Published
- 2010-04-01
- Volume
- 28
- Issue
- 10
- Pages
- 1684-1691
- ISSN
- 0732-183X (ISSN-L)
- 1527-7755
- OpenAlex
- W2171015116
- Cited by
- 1,243
- References
- 3
- FWCI
- 24.39
- Type
- journal article
- Language
- en
- Open access
- closed
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- Voduc, K. D., Cheang, M. C. U., Tyldesley, S., Gelmon, K., Nielsen, T. O., & Kennecke, H. (2010). Breast Cancer Subtypes and the Risk of Local and Regional Relapse. Journal of Clinical Oncology. https://doi.org/10.1200/jco.2009.24.9284
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