The DOI matches its Crossref record; 116 of the 116 references it cites were found in a registry or an index.
Targeted therapies in breast cancer: New challenges to fight against resistance
Open accessAbstract
Breast cancer is the most common type of cancer found in women and today represents a significant challenge to public health. With the latest breakthroughs in molecular biology and immunotherapy, very specific targeted therapies have been tailored to the specific pathophysiology of different types of breast cancers. These recent developments have contributed to a more efficient and specific treatment protocol in breast cancer patients. However, the main challenge to be further investigated still remains the emergence of therapeutic resistance mechanisms, which develop soon after the onset of therapy and need urgent attention and further elucidation. What are the recent emerging molecular resistance mechanisms in breast cancer targeted therapy and what are the best strategies to apply in order to circumvent this important obstacle? The main scope of this review is to provide a thorough update of recent developments in the field and discuss future prospects for preventing resistance mechanisms in the quest to increase overall survival of patients suffering from the disease.
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1 retracted
Formisano, L., Nappi, L., Rosa, R., Marciano, R., D’Amato, C., D’Amato, V., Damiano, V., Raimondo, L., Iommelli, F., Scorziello, A., et al. (2014) · Breast Cancer Research · doi:10.1186/bcr3650 · Cited by 71
RetractedHallmarks of Cancer: The Next Generation
Hanahan, D., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.02.013 · Cited by 66,590
PD-1 and PD-L1 Immune Checkpoint Blockade to Treat Breast Cancer
Hartkopf, A. D., Taran, F.-A., Wallwiener, M., Walter, C. B., Krämer, B., Grischke, E.-M., & Brucker, S. Y. (2016) · Breast Care · doi:10.1159/000453569 · Cited by 30,845
Slamon, D. J., Leyland-Jones, B., Shak, S., Fuchs, H., Paton, V., Bajamonde, A., Fleming, T., Eiermann, W., Wolter, J., Pegram, M., et al. (2001) · New England Journal of Medicine · doi:10.1056/nejm200103153441101 · Cited by 11,500
The biology of VEGF and its receptors
Ferrara, N., Gerber, H.-P., & LeCouter, J. (2003) · Nature Medicine · doi:10.1038/nm0603-669 · Cited by 9,591
Untangling the ErbB signalling network
Yarden, Y., & Sliwkowski, M. X. (2001) · Nature Reviews Molecular Cell Biology · doi:10.1038/35052073 · Cited by 6,974
Oxygen sensing by metazoans: the central role of the HIF hydroxylase pathway.
Kaelin, W. G., & Ratcliffe, P. J. (2008) · Molecular Cell · doi:10.1016/j.molcel.2008.04.009 · Cited by 3,251
Paclitaxel plus Bevacizumab versus Paclitaxel Alone for Metastatic Breast Cancer
Miller, K., Wang, M., Gralow, J., Dickler, M., Cobleigh, M., Perez, E. A., Shenkier, T., Cella, D., & Davidson, N. E. (2007) · New England Journal of Medicine · doi:10.1056/nejmoa072113 · Cited by 3,081
Pertuzumab plus Trastuzumab plus Docetaxel for Metastatic Breast Cancer
Baselga, J., Cortés, J., Kim, S.-B., Im, S.-A., Hegg, R., Im, Y.-H., Roman, L., Pedrini, J. L., Pienkowski, T., Knott, A., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1113216 · Cited by 2,532
Pertuzumab, Trastuzumab, and Docetaxel in HER2-Positive Metastatic Breast Cancer
Swain, S. M., Baselga, J., Kim, S.-B., Ro, J., Semiglazov, V., Campone, M., Ciruelos, E., Ferrero, J.-M., Schneeweiss, A., Heeson, S., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1413513 · Cited by 2,164
Cited by
Targeted drug delivery strategies for precision medicines
Manzari, M. T., Shamay, Y., Kiguchi, H., Rosen, N., Scaltriti, M., & Heller, D. A. (2021) · Nature Reviews Materials · doi:10.1038/s41578-020-00269-6 · Cited by 1,183
Metadata
- Authors
- Masoud, V., & Pagès, G.
- Venue
- World Journal of Clinical Oncology
- Publisher
- Baishideng Publishing Group Inc.
- Published
- 2017
- Volume
- 8
- Issue
- 2
- Pages
- 120
- ISSN
- 2218-4333 (ISSN-L)
- OpenAlex
- W2604622211
- Cited by
- 357
- References
- 116
- FWCI
- 19.44
- Type
- journal article
- Language
- en
- Open access
- green
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
