The DOI matches its Crossref record; 132 of the 132 references it cites were found in a registry or an index.
Targeting FAK in anticancer combination therapies
Open accessAbstract
Focal adhesion kinase (FAK) is both a non-receptor tyrosine kinase and an adaptor protein that primarily regulates adhesion signalling and cell migration, but FAK can also promote cell survival in response to stress. FAK is commonly overexpressed in cancer and is considered a high-value druggable target, with multiple FAK inhibitors currently in development. Evidence suggests that in the clinical setting, FAK targeting will be most effective in combination with other agents so as to reverse failure of chemotherapies or targeted therapies and enhance efficacy of immune-based treatments of solid tumours. Here, we discuss the recent preclinical evidence that implicates FAK in anticancer therapeutic resistance, leading to the view that FAK inhibitors will have their greatest utility as combination therapies in selected patient populations. Focal adhesion kinase (FAK) is overexpressed in many cancers and is involved in a multitude of oncogenic processes and resistance mechanisms. This Review discusses the rationale and preclinical evidence for FAK-based combination therapies and strategies for future development.
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Siegel, R. L., Miller, K. D., & Jemal, A. (2020) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21590 · Cited by 20,444
Integrated genomic analyses of ovarian carcinoma
Perou, C. M. (2019) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/hvp3-wg08 · Cited by 7,925
Improved survival with vemurafenib in melanoma with BRAF V600E mutation
Chapman, P. B., Hauschild, A., Robert, C., Haanen, J. B., Ascierto, P., Larkin, J., Dummer, R., Garbe, C., Testori, A., Maio, M., et al. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1103782 · Cited by 7,720
Primary, Adaptive, and Acquired Resistance to Cancer Immunotherapy
Sharma, P., Hu-Lieskovan, S., Wargo, J. A., & Ribas, A. (2017) · Cell · doi:10.1016/j.cell.2017.01.017 · Cited by 5,588
Oncogenic Signaling Pathways in The Cancer Genome Atlas
Sanchez-Vega, F., Mina, M., Armenia, J., Chatila, W. K., Luna, A., La, K. C., Dimitriadoy, S., Liu, D. L., Kantheti, H. S., Saghafinia, S., et al. (2018) · Cell · doi:10.1016/j.cell.2018.03.035 · Cited by 3,201
Rubin, M., & Stephen, C. D. (1993) · Cited by 3,149
A subcellular map of the human proteome
Thul, P. J., Åkesson, L., Wiking, M., Mahdessian, D., Geladaki, A., Ait Blal, H., Alm, T., Asplund, A., Björk, L., Breckels, L. M., et al. (2017) · Science · doi:10.1126/science.aal3321 · Cited by 2,813
Melanomas acquire resistance to B-RAF(V600E) inhibition by RTK or N-RAS upregulation
Nazarian, R., Shi, H., Wang, Q., Kong, X., Koya, R. C., Lee, H., Chen, Z., Lee, M.-K., Attar, N., Sazegar, H., et al. (2010) · Nature · doi:10.1038/nature09626 · Cited by 2,192
YAP/TAZ at the Roots of Cancer
Zanconato, F., Cordenonsi, M., & Piccolo, S. (2016) · Cancer Cell · doi:10.1016/j.ccell.2016.05.005 · Cited by 1,970
CTLA-4 is a second receptor for the B cell activation antigen B7.
Linsley, P. S., Brady, W., Urnes, M., Grosmaire, L. S., Damle, N. K., & Ledbetter, J. A. (1991) · The Journal of experimental medicine · doi:10.1084/jem.174.3.561 · Cited by 1,685
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Lei, Z.-N., Teng, Q.-X., Tian, Q., Chen, W., Xie, Y., Wu, K., Zeng, Q., Zeng, L., Pan, Y., Chen, Z.-S., et al. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-01190-w · Cited by 322
The intrinsic substrate specificity of the human tyrosine kinome
Yaron-Barir, T. M., Joughin, B. A., Huntsman, E. M., Kerelsky, A., Cizin, D. M., Cohen, B. M., Regev, A., Song, J., Vasan, N., Lin, T.-Y., et al. (2024) · Nature · doi:10.1038/s41586-024-07407-y · Cited by 189
Self-citationFocal adhesion kinase: from biological functions to therapeutic strategies
Tan, X., Yan, Y., Song, B., Zhu, S., Mei, Q., & Wu, K. (2023) · Experimental Hematology & Oncology · doi:10.1186/s40164-023-00446-7 · Cited by 158
Lander, V. E., Belle, J. I., Kingston, N. L., Herndon, J. M., Hogg, G. D., Liu, X., Kang, L.-I., Knolhoff, B. L., Bogner, S. J., Baer, J. M., et al. (2022) · Cancer Discovery · doi:10.1158/2159-8290.cd-22-0192 · Cited by 114
The tumor microenvironment: shaping cancer progression and treatment response
Desai, S. A., Patel, V. P., Bhosle, K. P., Nagare, S. D., & Thombare, K. C. (2025) · Journal of Chemotherapy · doi:10.1080/1120009x.2023.2300224 · Cited by 106
Metadata
- Authors
- Dawson, J. C., Serrels, A., Stupack, D. G., Schlaepfer, D. D., & Frame, M. C.
- Venue
- Nature Reviews Cancer
- Published
- 2021-03-17
- Volume
- 21
- Issue
- 5
- Pages
- 313-324
- ISSN
- 1474-175X (ISSN-L)
- 1474-1768
- OpenAlex
- W3137382409
- Cited by
- 384
- References
- 132
- FWCI
- 10.35
- Type
- journal article
- Language
- en
- Open access
- green
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