The DOI matches its Crossref record; 92 of the 92 references it cites were found in a registry or an index.
Thirty Years of the Drug Candidate NAMI‐A and the Myths in the Field of Ruthenium Anticancer Compounds: A Personal Perspective
Open accessAbstract
As anticipated in the title, this contribution is basically divided into two, strictly connected, parts. The first is a personal overview of the ruthenium drug candidate NAMI‐A, almost 30 years after its synthesis and the discovery of its unprecedented antimetastatic properties in animal models at nontoxic dosages. The sections relating to the chemical and biological behavior of the complex, and the hypotheses on its mechanism(s) of action, are kept to a minimum, whereas more space is devoted to discussion of the results of the clinical investigations. The second part deals in detail with a number of undemonstrated misconceptions (or myths) that, over the years, have thrived around NAMI‐A and other ruthenium drug candidates, thus negatively affecting the whole field of Ru anticancer drugs.
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Cited by
Zeng, L., Gupta, P., Chen, Y., Wang, E., Ji, L., Chao, H., & Chen, Z.-S. (2017) · Chemical Society Reviews · doi:10.1039/c7cs00195a · Cited by 1,017
Metal Drugs and the Anticancer Immune Response
Englinger, B., Pirker, C., Heffeter, P., Terenzi, A., Kowol, C. R., Keppler, B. K., & Berger, W. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00396 · Cited by 355
Metadata
- Authors
- Alessio, E.
- Venue
- European Journal of Inorganic Chemistry
- Publisher
- Wiley
- Published
- 2016-09-28
- Volume
- 2017
- Issue
- 12
- Pages
- 1549-1560
- ISSN
- 1099-0682 (ISSN-L)
- 1434-1948
- OpenAlex
- W2526296695
- Cited by
- 388
- References
- 92
- FWCI
- 21.02
- Type
- journal article
- Language
- en
- Open access
- green
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- Alessio, E. (2017). Thirty Years of the Drug Candidate NAMI‐A and the Myths in the Field of Ruthenium Anticancer Compounds: A Personal Perspective. European Journal of Inorganic Chemistry. https://doi.org/10.1002/ejic.201600986
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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.