The DOI matches its Crossref record; 124 of the 124 references it cites were found in a registry or an index.
Receptor tyrosine kinase signalling as a target for cancer intervention strategies.
Open accessAbstract
In multicellular organisms, communication between individual cells is essential for the regulation and coordination of complex cellular processes such as growth, differentiation, migration and apoptosis. The plethora of signal transduction networks mediating these biological processes is regulated in part by polypeptide growth factors that can generate signals by activating cell surface receptors either in paracrine or autocrine manner. The primary mediators of such physiological cell responses are receptor tyrosine kinases (RTKs) that couple ligand binding to downstream signalling cascades and gene transcription. Investigations over the past 18 years have revealed that RTKs are not only key regulators of normal cellular processes but are also critically involved in the development and progression of human cancers. Therefore, signalling pathways controlled by tyrosine kinases offer unique opportunities for pharmaco logical intervention. The aim of this review is to give a broad overview of RTK signalling involved in tumorigenesis and the possibility of target-selective intervention for anti-cancer therapy.
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Slamon, D. J., Clark, G. M., Wong, S. G., Levin, W. J., Ullrich, A., & McGuire, W. L. (1987) · Science · doi:10.1126/science.3798106 · Cited by 11,760
Self-citationStudies of the HER-2/ neu Proto-Oncogene in Human Breast and Ovarian Cancer
Slamon, D. J., Godolphin, W., Jones, L. A., Holt, J. A., Wong, S. G., Keith, D. E., Levin, W. J., Stuart, S. G., Udove, J., Ullrich, A., et al. (1989) · Science · doi:10.1126/science.2470152 · Cited by 6,816
Self-citationBiochemical and Biophysical Research Communications
(1960) · Nature · doi:10.1038/186124d0 · Cited by 6,700
Signal transduction by receptors with tyrosine kinase activity
Ullrich, A., & Schlessinger, J. (1990) · Cell · doi:10.1016/0092-8674(90)90801-k · Cited by 5,435
Self-citationInsulin-Like Growth Factors and Their Binding Proteins: Biological Actions*
JONES, J. I., & CLEMMONS, D. R. (1995) · Endocrine Reviews · doi:10.1210/edrv-16-1-3 · Cited by 4,710
Cobleigh, M. A., Vogel, C. L., Tripathy, D., Robert, N. J., Scholl, S., Fehrenbacher, L., Wolter, J. M., Paton, V., Shak, S., Lieberman, G., et al. (1999) · Journal of Clinical Oncology · doi:10.1200/jco.1999.17.9.2639 · Cited by 2,765
Ullrich, A., Coussens, L., Hayflick, J. S., Dull, T. J., Gray, A., Tam, A. W., Lee, J., Yarden, Y., Libermann, T. A., Schlessinger, J., et al. (1984) · Nature · doi:10.1038/309418a0 · Cited by 2,752
Self-citationEpidermal growth factor-related peptides and their receptors in human malignancies
Salomon, D. S., Brandt, R., Ciardiello, F., & Normanno, N. (1995) · Critical Reviews in Oncology/Hematology · doi:10.1016/1040-8428(94)00144-i · Cited by 2,690
Protein modules and signalling networks
Pawson, T. (1995) · Nature · doi:10.1038/373573a0 · Cited by 2,420
Plasma Insulin-Like Growth Factor-I and Prostate Cancer Risk: A Prospective Study
Chan, J. M., Stampfer, M. J., Giovannucci, E., Gann, P. H., Ma, J., Wilkinson, P., Hennekens, C. H., & Pollak, M. (1998) · Science · doi:10.1126/science.279.5350.563 · Cited by 1,996
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Metadata
- Authors
- Zwick, E., Bange, J., & Ullrich, A.
- Venue
- Endocrine-related cancer
- Publisher
- Bioscientifica
- Published
- 2001-09
- Volume
- 8
- Issue
- 3
- Pages
- 161-173
- ISSN
- 1351-0088 (ISSN-L)
- OpenAlex
- W2142776762
- Cited by
- 384
- References
- 124
- FWCI
- 4.21
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.