The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Inhibition of tumor angiogenesis as a strategy to circumvent acquired resistance to anti‐cancer therapeutic agents
Abstract
Cancers have a formidable capacity to develop resistance to a large and diverse array of chemical, biologic, and physical anti‐neoplastic agents. This can be largely traced to the instability of the tumor cell genome, and the resultant ability of tumor cell populations to generate phenotypic variants rapidly. It is therefore argued that anti‐cancer strategies should be directed at eliminating those genetically stable normal diploid cells that are required for the progressive growth of tumors. Micro‐vascular endothelial cells comprising the tumor vasculature represent such a normal cell target. Moreover, specificity for tumor associated vasculature by anti‐cancer agents may be achieved by virtue of the fact that many of the endothelial cells that comprise these blood vessels are in an immature, cycling, and ‘activated’ state, in contrast to the endothelial cells associated with normal tissue and organ blood vessels.
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Cites
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Cited by
Angiogenesis in cancer, vascular, rheumatoid and other disease
Folkman, J. (1995) · Nature Medicine · doi:10.1038/nm0195-27 · Cited by 7,627
Modes of resistance to anti-angiogenic therapy
Bergers, G., & Hanahan, D. (2008) · Nature Reviews Cancer · doi:10.1038/nrc2442 · Cited by 2,953
Antiangiogenic therapy of experimental cancer does not induce acquired drug resistance
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Tumor Induction of VEGF Promoter Activity in Stromal Cells
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Metadata
- Authors
- Kerbel, R. S.
- Venue
- BioEssays
- Publisher
- Wiley
- Published
- 1991-01
- Volume
- 13
- Issue
- 1
- Pages
- 31-36
- ISSN
- 0265-9247 (ISSN-L)
- 1521-1878
- OpenAlex
- W2155056678
- Cited by
- 441
- References
- 47
- FWCI
- 0.57
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
