The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
The dual kinase complex FAK-Src as a promising therapeutic target in cancer
Open accessAbstract
Focal adhesion kinase (FAK) and steroid receptor coactivator (Src) are intracellular (nonreceptor) tyrosine kinases that physically and functionally interact to promote a variety of cellular responses. Plenty of reports have already suggested an additional central role for this complex in cancer through its ability to promote proliferation and anoikis resistance in tumor cells. An important role for the FAK/Src complex in tumor angiogenesis has also been established. Furthermore, FAK and Src have been associated with solid tumor metastasis through their ability to promote the epithelial mesenchymal transition. In fact, a strong correlation between increased FAK/Src expression/phosphorylation and the invasive phenotype in human tumors has been found. Additionally, an association for FAK/Src with resistances to the current anticancer therapies has already been established. Currently, novel anticancer agents that target FAK or Src are under development in a broad variety of solid tumors. In this article we will review the normal cellular functions of the FAK/Src complex as an effector of integrin and/or tyrosine kinase receptor signaling. We will also collect data about their role in cancer and we will summarize the most recent data from the FAK and Src inhibitors under clinical and preclinical development. Furthermore, the association of both these proteins with chemotherapy and hormonal therapy resistances, as a rationale for new combined therapeutic approaches with these novel agents, to abrogate treatment associated resistances, will also be reviewed.
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Cites
Snail, Zeb and bHLH factors in tumour progression: An alliance against the epithelial phenotype?
Peinado, H., Olmeda, D., & Cano, A. (2007) · Nature reviews. Cancer · doi:10.1038/nrc2131 · Cited by 3,121
Constitutive Stat3 activity up-regulates VEGF expression and tumor angiogenesis
Niu, G., Wright, K. L., Huang, M., Song, L., Haura, E., Turkson, J., Zhang, S., Wang, T., Sinibaldi, D., Coppola, D., et al. (2002) · Oncogene · doi:10.1038/sj.onc.1205260 · Cited by 1,207
Yeatman, T. J. (2004) · Nature Reviews Cancer · doi:10.1038/nrc1366 · Cited by 1,113
Src family kinases in tumor progression and metastasis
Summy, J. M., & Gallick, G. E. (2003) · Cancer and Metastasis Reviews · doi:10.1023/a:1023772912750 · Cited by 827
Huang, F., Reeves, K., Han, X., Fairchild, C., Platero, S., Wong, T. W., Lee, F., Shaw, P., & Clark, E. (2007) · Cancer Research · doi:10.1158/0008-5472.can-06-3633 · Cited by 344 · cited 1×
“Two independent groups have described genetic profiles associated with a response to dasatinib 95,145 highlighting the particular sensitivity of the basal-like phenotype to this Src inhibitor.”
Duxbury, M. S., Ito, H., Zinner, M. J., Ashley, S. W., & Whang, E. E. (2004) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-1183-3 · Cited by 192
Src continues aging: current and future clinical directions
Kopetz, S., Shah, A. N., & Gallick, G. E. (2007) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-07-1902 · Cited by 111
Cited by
FAK in cancer: mechanistic findings and clinical applications
Sulzmaier, F. J., Jean, C., & Schlaepfer, D. D. (2014) · Nature Reviews Cancer · doi:10.1038/nrc3792 · Cited by 1,381
The Blood-Testis Barrier and Its Implications for Male Contraception
Cheng, C. Y., & Mruk, D. D. (2012) · Pharmacological Reviews · doi:10.1124/pr.110.002790 · Cited by 927
Impacts of environmental toxicants on male reproductive dysfunction
Wong, E. W. P., & Cheng, C. Y. (2011) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2011.01.001 · Cited by 281
Metadata
- Authors
- Bolós, V.
- Venue
- OncoTargets and Therapy
- Publisher
- Informa UK Limited
- Published
- 2010-06
- Volume
- 3
- Pages
- 83
- ISSN
- 1178-6930 (ISSN-L)
- OpenAlex
- W2112654580
- Cited by
- 202
- References
- 7
- FWCI
- 7.09
- Type
- journal article
- Language
- en
- Open access
- gold
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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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