The DOI matches its Crossref record; 170 of the 170 references it cites were found in a registry or an index.
Targeting ALK: Precision Medicine Takes on Drug Resistance
Open accessAbstract
Anaplastic lymphoma kinase (ALK) is a validated molecular target in several ALK-rearranged malignancies, including non–small cell lung cancer. However, the clinical benefit of targeting ALK using tyrosine kinase inhibitors (TKI) is almost universally limited by the emergence of drug resistance. Diverse mechanisms of resistance to ALK TKIs have now been discovered, and these basic mechanisms are informing the development of novel therapeutic strategies to overcome resistance in the clinic. In this review, we summarize the current successes and challenges of targeting ALK. Significance: Effective long-term treatment of ALK-rearranged cancers requires a mechanistic understanding of resistance to ALK TKIs so that rational therapies can be selected to combat resistance. This review underscores the importance of serial biopsies in capturing the dynamic therapeutic vulnerabilities within a patient's tumor and offers a perspective into the complexity of on-target and off-target ALK TKI resistance mechanisms. Therapeutic strategies that can successfully overcome, and potentially prevent, these resistance mechanisms will have the greatest impact on patient outcome. Cancer Discov; 7(2); 137–55. ©2017 AACR.
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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
Siegel, R. L., Miller, K. D., & Jemal, A. (2016) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21332 · Cited by 16,003
Adverse Renal Effects of Immune Checkpoint Inhibitors: A Narrative Review
Wanchoo, R., Karam, S., Uppal, N. N., Barta, V. S., Deray, G., Devoe, C., Launay-Vacher, V., Jhaveri, K. D., & on behalf of Cancer and Kidney International Network Workgroup on Immune Checkpoint Inhibitors (2017) · American Journal of Nephrology · doi:10.1159/000455014 · Cited by 15,256
Pembrolizumab versus Chemotherapy for PD-L1-Positive Non-Small-Cell Lung Cancer
Reck, M., Rodríguez-Abreu, D., Robinson, A. G., Hui, R., Csőszi, T., Fülöp, A., Gottfried, M., Peled, N., Tafreshi, A., Cuffe, S., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1606774 · Cited by 10,089
Nivolumab versus docetaxel in advanced nonsquamous non-small-cell lung cancer
Borghaei, H., Paz-Ares, L., Horn, L., Spigel, D. R., Steins, M., Ready, N. E., Chow, L. Q., Vokes, E. E., Felip, E., Holgado, E., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1507643 · Cited by 9,335
Nivolumab versus Docetaxel in Advanced Squamous-Cell Non–Small-Cell Lung Cancer
Brahmer, J., Reckamp, K. L., Baas, P., Crinò, L., Eberhardt, W. E. E., Poddubskaya, E., Antonia, S., Pluzanski, A., Vokes, E. E., Holgado, E., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1504627 · Cited by 8,447
Mutational landscape determines sensitivity to PD-1 blockade in non–small cell lung cancer
Rizvi, N. A., Hellmann, M. D., Snyder, A., Kvistborg, P., Makarov, V., Havel, J. J., Lee, W., Yuan, J., Wong, P., Ho, T. S., et al. (2015) · Science · doi:10.1126/science.aaa1348 · Cited by 7,802
Herbst, R. S., Baas, P., Kim, D.-W., Felip, E., Pérez-Gracia, J. L., Han, J.-Y., Molina, J., Kim, J.-H., Arvis, C. D., Ahn, M.-J., et al. (2016) · The Lancet · doi:10.1016/s0140-6736(15)01281-7 · Cited by 6,449
Multidrug resistance in cancer: role of ATP–dependent transporters
Gottesman, M. M., Fojo, T., & Bates, S. E. (2002) · Nature Reviews Cancer · doi:10.1038/nrc706 · Cited by 5,536
Identification of the transforming EML4–ALK fusion gene in non-small-cell lung cancer
Soda, M., Choi, Y. L., Enomoto, M., Takada, S., Yamashita, Y., Ishikawa, S., Fujiwara, S.-I., Watanabe, H., Kurashina, K., Hatanaka, H., et al. (2007) · Nature · doi:10.1038/nature05945 · Cited by 5,439
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Herbst, R. S., Morgensztern, D., & Boshoff, C. (2018) · Nature · doi:10.1038/nature25183 · Cited by 4,891
Overcoming Endocrine Resistance in Breast Cancer
Hanker, A. B., Sudhan, D. R., & Arteaga, C. L. (2020) · Cancer Cell · doi:10.1016/j.ccell.2020.03.009 · Cited by 927
Solomon, B. J., Besse, B., Bauer, T. M., Felip, E., Soo, R. A., Camidge, D. R., Chiari, R., Bearz, A., Lin, C.-C., Gadgeel, S. M., et al. (2018) · The Lancet Oncology · doi:10.1016/s1470-2045(18)30649-1 · Cited by 791
Self-citationOxnard, G. R., Hu, Y., Mileham, K. F., Husain, H., Costa, D. B., Tracy, P., Feeney, N., Sholl, L. M., Dahlberg, S. E., Redig, A. J., et al. (2018) · JAMA Oncology · doi:10.1001/jamaoncol.2018.2969 · Cited by 686
Drilon, A., Ou, S.-H. I., Cho, B. C., Kim, D.-W., Lee, J., Lin, J. J., Zhu, V. W., Ahn, M.-J., Camidge, D. R., Nguyen, J., et al. (2018) · Cancer Discovery · doi:10.1158/2159-8290.cd-18-0484 · Cited by 504
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Metadata
- Authors
- Lin, J. J., Riely, G. J., & Shaw, A. T.
- Venue
- Cancer Discovery
- Published
- 2017-02-01
- Volume
- 7
- Issue
- 2
- Pages
- 137-155
- ISSN
- 2159-8274 (ISSN-L)
- 2159-8290
- OpenAlex
- W2581592505
- Cited by
- 522
- References
- 170
- FWCI
- 44.95
- Type
- journal article
- Language
- en
- Open access
- green
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