The DOI matches its Crossref record; 85 of the 85 references it cites were found in a registry or an index.
Molecular and Cellular Heterogeneity in Breast Cancer
Open accessAbstract
Breast cancer is noted for disparate clinical behaviors and patient outcomes, despite common histopathological features at diagnosis. Molecular pathogenesis studies suggest that breast cancer is a collection of diseases with variable molecular underpinnings that modulate therapeutic responses, disease-free intervals, and long-term survival. Traditional therapeutic strategies for individual patients are guided by the expression status of the estrogen and progesterone receptors (ER and PR) and human epidermal growth factor receptor 2 (HER2). Although such methods for clinical classification have utility in selection of targeted therapies, short-term patient responses and long-term survival remain difficult to predict. Molecular signatures of breast cancer based on complex gene expression patterns have utility in prediction of long-term patient outcomes, but are not yet used for guiding therapy. Examination of the correspondence between these methods for breast cancer classification reveals a lack of agreement affecting a significant percentage of cases. To realize true personalized breast cancer therapy, a more complete analysis and evaluation of the molecular characteristics of the disease in the individual patient is required, together with an understanding of the contributions of specific genetic and epigenetic alterations (and their combinations) to management of the patient. Here, we discuss the molecular and cellular heterogeneity of breast cancer, the impact of this heterogeneity on practical breast cancer classification, and the challenges for personalized breast cancer treatment.
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Cited by
Sun, D., Wang, M., & Li, A. (2019) · IEEE/ACM Transactions on Computational Biology and Bioinformatics · doi:10.1109/tcbb.2018.2806438 · Cited by 338
Challenges and Perspectives in the Treatment of Diabetes Associated Breast Cancer
Samuel, S. M., Varghese, E., Varghese, S., & Büsselberg, D. (2018) · Cancer Treatment Reviews · doi:10.1016/j.ctrv.2018.08.004 · Cited by 141
Palasuberniam, P., Yang, X., Kraus, D., Jones, P., Myers, K. A., & Chen, B. (2015) · Scientific Reports · doi:10.1038/srep13298 · Cited by 89
Oncosis and apoptosis induction by activation of an overexpressed ion channel in breast cancer cells
Peters, A. A., Jamaludin, S. Y. N., Yapa, K. T. D. S., Chalmers, S., Wiegmans, A. P., Lim, H. F., Milevskiy, M. J. G., Azimi, I., Davis, F. M., Northwood, K. S., et al. (2017) · Oncogene · doi:10.1038/onc.2017.234 · Cited by 85
Elevation of SIPL1 (SHARPIN) increases breast cancer risk
De Melo, J., & Tang, D. (2015) · PLOS ONE · doi:10.1371/journal.pone.0127546 · Cited by 33
Metadata
- Authors
- Rivenbark, A. G., O’Connor, S. M., & Coleman, W. B.
- Venue
- The American Journal of Pathology
- Publisher
- Elsevier BV
- Published
- 2013-10
- Volume
- 183
- Issue
- 4
- Pages
- 1113-1124
- ISSN
- 0002-9440 (ISSN-L)
- OpenAlex
- W1999435920
- Cited by
- 327
- References
- 85
- FWCI
- 4.76
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Rivenbark, A. G., O’Connor, S. M., & Coleman, W. B. (2013). Molecular and Cellular Heterogeneity in Breast Cancer. The American Journal of Pathology. https://doi.org/10.1016/j.ajpath.2013.08.002
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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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