The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Oncogene addiction as a foundational rationale for targeted anti‐cancer therapy: promises and perils
Open accessAbstract
A decade has elapsed since the concept of oncogene addiction was first proposed. It postulates that – despite the diverse array of genetic lesions typical of cancer – some tumours rely on one single dominant oncogene for growth and survival, so that inhibition of this specific oncogene is sufficient to halt the neoplastic phenotype. A large amount of evidence has proven the pervasive power of this notion, both in basic research and in therapeutic applications. However, in the face of such a considerable body of knowledge, the intimate molecular mechanisms mediating this phenomenon remain elusive. At the clinical level, successful translation of the oncogene addiction model into the rational and effective design of targeted therapeutics against individual oncoproteins still faces major obstacles, mainly due to the emergence of escape mechanisms and drug resistance. Here, we offer an overview of the relevant literature, encompassing both biological aspects and recent clinical insights. We discuss the key advantages and pitfalls of this concept and reconsider it as an illustrative principle to guide post‐genomic cancer research and drug development.
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Cites
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Cited by
Targeting the tumour stroma to improve cancer therapy
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The PI3K/AKT/mTOR interactive pathway
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Metadata
- Authors
- Torti, D., & Trusolino, L.
- Venue
- EMBO Molecular Medicine
- Published
- 2011-09-23
- Volume
- 3
- Issue
- 11
- Pages
- 623-636
- ISSN
- 1757-4676 (ISSN-L)
- 1757-4684
- OpenAlex
- W2151239501
- Cited by
- 246
- References
- 21
- FWCI
- 12.87
- Type
- journal article
- Language
- en
- Open access
- gold
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- Torti, D., & Trusolino, L. (2011). Oncogene addiction as a foundational rationale for targeted anti‐cancer therapy: promises and perils. EMBO Molecular Medicine. https://doi.org/10.1002/emmm.201100176
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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