The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Resisting Resistance: Targeted Therapies in Lung Cancer
Open accessAbstract
Drug resistance inevitably limits the efficacy of all targeted therapies including tyrosine kinase inhibitors (TKIs). Understanding the biological underpinnings of TKI resistance is key to the successful development of future therapeutic strategies. Traditionally, mechanisms of TKI resistance have been viewed under a dichotomous lens. Tumor cells are TKI-sensitive or TKI-refractory, exhibit intrinsic or acquired resistance, and accumulate alterations within or outside the target to promote their survival. Such classifications facilitate our comprehension of an otherwise complex biology, but are likely an oversimplification. Recent studies underscore the multifaceted, genetically heterogeneous nature of TKI resistance, which evolves dynamically with changes in therapy. In this Review, we provide a broad framework for understanding the diverse mechanisms of resistance at play in oncogene-driven lung cancers.
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Citations
Cites
Comprehensive molecular profiling of lung adenocarcinoma
The Cancer Genome Atlas Research Network (2014) · Nature · doi:10.1038/nature13385 · Cited by 5,732
Gefitinib or Chemotherapy for Non–Small-Cell Lung Cancer with Mutated EGFR
Maemondo, M., Inoue, A., Kobayashi, K., Sugawara, S., Oizumi, S., Isobe, H., Gemma, A., Harada, M., Yoshizawa, H., Kinoshita, I., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa0909530 · Cited by 5,525
Rosell, R., Carcereny, E., Gervais, R., Vergnenegre, A., Massuti, B., Felip, E., Palmero, R., Garcia-Gomez, R., Pallares, C., Sanchez, J. M., et al. (2012) · The Lancet Oncology · doi:10.1016/s1470-2045(11)70393-x · Cited by 5,489
MET Amplification Leads to Gefitinib Resistance in Lung Cancer by Activating ERBB3 Signaling
Engelman, J. A., Zejnullahu, K., Mitsudomi, T., Song, Y., Hyland, C., Park, J. O., Lindeman, N., Gale, C.-M., Zhao, X., Christensen, J., et al. (2007) · Science · doi:10.1126/science.1141478 · Cited by 4,496
Mitsudomi, T., Morita, S., Yatabe, Y., Negoro, S., Okamoto, I., Tsurutani, J., Seto, T., Satouchi, M., Tada, H., Hirashima, T., et al. (2010) · The Lancet Oncology · doi:10.1016/s1470-2045(09)70364-x · Cited by 4,090
Genotypic and Histological Evolution of Lung Cancers Acquiring Resistance to EGFR Inhibitors
Sequist, L. V., Waltman, B. A., Dias-Santagata, D., Digumarthy, S., Turke, A. B., Fidias, P., Bergethon, K., Shaw, A. T., Gettinger, S., Cosper, A. K., et al. (2011) · Science Translational Medicine · doi:10.1126/scitranslmed.3002003 · Cited by 3,499
Self-citationSequist, L. V., Yang, J. C.-H., Yamamoto, N., O'Byrne, K., Hirsh, V., Mok, T., Geater, S. L., Orlov, S., Tsai, C.-M., Boyer, M., et al. (2013) · Journal of Clinical Oncology · doi:10.1200/jco.2012.44.2806 · Cited by 3,228
First-Line Crizotinib versus Chemotherapy in ALK -Positive Lung Cancer
Solomon, B. J., Mok, T., Kim, D.-W., Wu, Y.-L., Nakagawa, K., Mekhail, T., Felip, E., Cappuzzo, F., Paolini, J., Usari, T., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1408440 · Cited by 3,190
The T790M mutation in EGFR kinase causes drug resistance by increasing the affinity for ATP
Yun, C.-H., Mengwasser, K. E., Toms, A. V., Woo, M. S., Greulich, H., Wong, K.-K., Meyerson, M., & Eck, M. J. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0709662105 · Cited by 2,118 · cited 1×
“Interestingly, the T790M substitution appears to render resistance primarily by enhancing the kinase affinity for ATP rather than by causing steric hindrance [36].”
BackgroundAZD9291 in EGFR Inhibitor–Resistant Non–Small-Cell Lung Cancer
Jänne, P. A., Yang, J. C.-H., Kim, D.-W., Planchard, D., Ohe, Y., Ramalingam, S. S., Ahn, M.-J., Kim, S.-W., Su, W.-C., Horn, L., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1411817 · Cited by 2,116
Cited by
Targeting ALK: Precision Medicine Takes on Drug Resistance
Lin, J. J., Riely, G. J., & Shaw, A. T. (2017) · Cancer Discovery · doi:10.1158/2159-8290.cd-16-1123 · Cited by 522
Self-citationThird-generation EGFR and ALK inhibitors: mechanisms of resistance and management
Cooper, A. J., Sequist, L. V., & Lin, J. J. (2022) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-022-00639-9 · Cited by 508
Self-citationPrecision Targeted Therapy with BLU-667 for RET-Driven Cancers
Subbiah, V., Gainor, J. F., Rahal, R., Brubaker, J. D., Kim, J. L., Maynard, M., Hu, W., Cao, Q., Sheets, M. P., Wilson, D., et al. (2018) · Cancer Discovery · doi:10.1158/2159-8290.cd-18-0338 · Cited by 396
Cancer associated-fibroblast-derived exosomes in cancer progression
Li, C., Teixeira, A. F., Zhu, H.-J., & ten Dijke, P. (2021) · Molecular Cancer · doi:10.1186/s12943-021-01463-y · Cited by 336
Recent advances in non-small cell lung cancer targeted therapy; an update review
Araghi, M., Mannani, R., Heidarnejad maleki, A., Hamidi, A., Rostami, S., Safa, S. H., Faramarzi, F., Khorasani, S., Alimohammadi, M., Tahmasebi, S., et al. (2023) · Cancer Cell International · doi:10.1186/s12935-023-02990-y · Cited by 328
Metadata
- Authors
- Lin, J. J., & Shaw, A. T.
- Venue
- Trends in Cancer
- Publisher
- Elsevier BV
- Published
- 2016-07
- Volume
- 2
- Issue
- 7
- Pages
- 350-364
- ISSN
- 2405-8025 (ISSN-L)
- 2405-8033
- OpenAlex
- W2430050289
- Cited by
- 232
- References
- 33
- FWCI
- 3.40
- Type
- journal article
- Language
- en
- Open access
- green
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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.
