The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Tumor hypoxia: A target for selective cancer therapy
Open accessAbstract
Tumor hypoxia has been considered to be a potential therapeutic problem because it renders solid tumors more resistant to sparsely ionizing radiation (IR) and chemotherapeutic drugs. Moreover, recent laboratory and clinical data have shown that tumor hypoxia is also associated with a more malignant phenotype and poor survival in patients suffering from various solid tumors. Therefore, selective targeting of hypoxic tumor cells has been explored, and since severe hypoxia (pO 2<0.33%, 2.5 mmHg) does not occur in normal tissue, tumor hypoxia could be exploited for therapeutic advantage. However, the following three characteristics of hypoxic tumor regions present obstacles in targeting hypoxic cells. First, it is difficult to deliver a sufficient amount of drug to a region that is remote from blood vessels. Second, one must specifically target hypoxic tumor cells while sparing normal well‐oxygenated tissue from damage. Finally, the severely hypoxic tumor cells to be attacked have often stopped dividing. Therefore, high delivery efficiency, high specificity and selective cytotoxicity are all necessary to target and combat hypoxic tumor cells. The current review describes progress on the biological aspects of tumor hypoxia and provides a compilation of the recent molecular approaches used to target hypoxic tumors. These approaches include our work with a unique hypoxia‐targeting protein drug, TOP3, with which we have sought to address the above three difficulties.
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Cites
Hypoxia — a key regulatory factor in tumour growth
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Tumor Hypoxia: Definitions and Current Clinical, Biologic, and Molecular Aspects
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Regulation of angiogenesis by hypoxia: role of the HIF system
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Cited by
Kobayashi, H., Watanabe, R., & Choyke, P. L. (2014) · Theranostics · doi:10.7150/thno.7193 · Cited by 996
Ge, Z., & Liu, S. (2013) · Chemical Society Reviews · doi:10.1039/c3cs60048c · Cited by 914
Yang, B., Chen, Y., & Shi, J. (2019) · Advanced Materials · doi:10.1002/adma.201901778 · Cited by 601
Moradi Kashkooli, F., Soltani, M., & Souri, M. (2020) · Journal of Controlled Release · doi:10.1016/j.jconrel.2020.08.012 · Cited by 514
Cancer as a robust system: implications for anticancer therapy
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Metadata
- Authors
- Kizaka‐Kondoh, S., Inoue, M., Harada, H., & Hiraoka, M.
- Venue
- Cancer Science
- Publisher
- Wiley
- Published
- 2003-12
- Volume
- 94
- Issue
- 12
- Pages
- 1021-1028
- ISSN
- 1347-9032 (ISSN-L)
- 1349-7006
- OpenAlex
- W2035565668
- Cited by
- 352
- References
- 12
- FWCI
- 2.20
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
