New drugs are not enough‑drug repositioning in oncology: An update
Open accessAbstract
Drug repositioning refers to the concept of discovering novel clinical benefits of drugs that are already known for use treating other diseases. The advantages of this are that several important drug characteristics are already established (including efficacy, pharmacokinetics, pharmacodynamics and toxicity), making the process of research for a putative drug quicker and less costly. Drug repositioning in oncology has received extensive focus. The present review summarizes the most prominent examples of drug repositioning for the treatment of cancer, taking into consideration their primary use, proposed anticancer mechanisms and current development status.
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Mebendazole suppresses tumor growth in various cancer cell lines and animal models through inhibition of microtubule polymerization.
“MBZ has been shown to potentially suppress tumor growth in various cancer cell lines and animal models through the inhibition of microtubule polymerization”
From Drug repurposing for cancer therapy (2024) · cites this paper as [158]
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Tavarez-Santamaría, Z., Jacobo-Herrera, N. J., Rocha-Zavaleta, L., Zentella-Dehesa, A., Couder-García, B. D. C., & Martínez-Vázquez, M. (2020) · Molecules · doi:10.3390/molecules25081780 · Cited by 22 · see citing works
- Authors
- Armando, R., Mengual G�mez, D., & Gomez, D.
- Affiliations
- National University of Quilmes (AR)
- Laboratory of Molecular Oncology, Science and Technology Department, National University of Quilmes, Bernal B1876, Argentina
- Corresponding author
- Gomez, Daniel
- Venue
- International Journal of Oncology
- Publisher
- Spandidos Publications
- Published
- 2020-01-20
- Volume
- 56
- Issue
- 3
- Pages
- 651-684
- ISSN
- 1019-6439 (ISSN-L)
- 1791-2423
- PMC
- PMC7010222
- OpenAlex
- W2999529909
- Cited by
- 90
- References
- 16
- Citations by year
- 2026: 3 · 2025: 9 · 2024: 14 · 2023: 14 · 2022: 17 · 2021: 22 · 2020: 9 · 2019: 1 · 2018: 1
- FWCI
- 2.38
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc-nd
- Locations
- International Journal of Oncology (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- CONICET Digital (CONICET) (submittedVersion, cc-by-nc-nd)
- Funders
- Consejo Nacional de Investigaciones Científicas y Técnicas
- Topics
- Health Sciences › Medicine › Pathology and Forensic Medicine › Cancer Mechanisms and Therapy
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Cancer therapeutics and mechanisms
- Keywords
- drug repurposing, cancer therapy, anticancer mechanism, repurposed drugs, anticancer drug development
- MeSH terms
- Antineoplastic Agents, Clinical Trials as Topic, Humans, Neoplasms, Drug Repositioning
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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