The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Targeting autophagy during cancer therapy to improve clinical outcomes
Open accessAbstract
Autophagy is a catabolic process that turns over long-lived proteins and organelles and contributes to cell and organism survival in times of stress. Current cancer therapies including chemotherapy and radiation are known to induce autophagy within tumor cells. This is therefore an attractive process to target during cancer therapy as there are safe, clinically available drugs known to both inhibit and stimulate autophagy. However, there are conflicting positive and negative effects of autophagy and no current consensus on how to manipulate autophagy to improve clinical outcomes. Careful and rigorous evaluation of autophagy with a focus on how to translate laboratory findings into relevant clinical therapies remains an important aspect of improving clinical outcomes in patients with malignant disease.
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Cites
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Self-citationSuppression of basal autophagy in neural cells causes neurodegenerative disease in mice
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Cited by
Levy, J. M. M., Towers, C. G., & Thorburn, A. (2017) · Nature Reviews Cancer · doi:10.1038/nrc.2017.53 · Cited by 2,526
Self-citationTargeting the RAS/RAF/MAPK pathway for cancer therapy: from mechanism to clinical studies
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Autophagy and Tumor Metabolism
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Thorburn, A., Thamm, D. H., & Gustafson, D. L. (2014) · Molecular Pharmacology · doi:10.1124/mol.114.091850 · Cited by 280
Self-citation
Metadata
- Authors
- Levy, J. M. M., & Thorburn, A.
- Venue
- Pharmacology & Therapeutics
- Publisher
- Elsevier BV
- Published
- 2011-07
- Volume
- 131
- Issue
- 1
- Pages
- 130-141
- ISSN
- 0163-7258 (ISSN-L)
- OpenAlex
- W1964517982
- Cited by
- 237
- References
- 24
- FWCI
- 13.62
- Type
- journal article
- Language
- en
- Open access
- green
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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.
