The DOI matches its Crossref record; 111 of the 111 references it cites were found in a registry or an index.
Caveolin-1 in the regulation of cell metabolism: a cancer perspective
Open accessAbstract
Caveolin-1 (CAV1) is an oncogenic membrane protein associated with endocytosis, extracellular matrix organisation, cholesterol distribution, cell migration and signaling. Recent studies reveal that CAV1 is involved in metabolic alterations - a critical strategy adopted by cancer cells to their survival advantage. Consequently, research findings suggest that CAV1, which is altered in several cancer types, influences tumour development or progression by controlling metabolism. Understanding the molecular interplay between CAV1 and metabolism could help uncover druggable metabolic targets or pathways of clinical relevance in cancer therapy. Here we review from a cancer perspective, the findings that CAV1 modulates cell metabolism with a focus on glycolysis, mitochondrial bioenergetics, glutaminolysis, fatty acid metabolism, and autophagy.
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Cited by
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Cancer-associated adipocytes: key players in breast cancer progression
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Cancer‐Associated Fibroblasts Suppress Cancer Development: The Other Side of the Coin
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Caveolin-1 scaffolding domain peptide abrogates autophagy dysregulation in pulmonary fibrosis
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Metadata
- Authors
- Nwosu, Z. C., Ebert, M. P., Dooley, S., & Meyer, C.
- Venue
- Molecular Cancer
- Published
- 2016-11-16
- Volume
- 15
- Issue
- 1
- Pages
- 71-71
- ISSN
- 1476-4598 (ISSN-L)
- OpenAlex
- W2556213168
- Cited by
- 256
- References
- 111
- FWCI
- 6.06
- Type
- journal article
- Language
- en
- Open access
- gold
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- Nwosu, Z. C., Ebert, M. P., Dooley, S., & Meyer, C. (2016). Caveolin-1 in the regulation of cell metabolism: a cancer perspective. Molecular Cancer. https://doi.org/10.1186/s12943-016-0558-7
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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.
