The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
PI3K and cancer: lessons, challenges and opportunities
Open accessAbstract
The central role of phosphoinositide 3-kinase (PI3K) activation in tumour cell biology has prompted a sizeable effort to target PI3K and/or downstream kinases such as AKT and mammalian target of rapamycin (mTOR) in cancer. However, emerging clinical data show limited single-agent activity of inhibitors targeting PI3K, AKT or mTOR at tolerated doses. One exception is the response to PI3Kδ inhibitors in chronic lymphocytic leukaemia, where a combination of cell-intrinsic and -extrinsic activities drive efficacy. Here, we review key challenges and opportunities for the clinical development of inhibitors targeting the PI3K–AKT–mTOR pathway. Through a greater focus on patient selection, increased understanding of immune modulation and strategic application of rational combinations, it should be possible to realize the potential of this promising class of targeted anticancer agents.
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Cites
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Cited by
Targeting the PI3K pathway in cancer: are we making headway?
Janku, F., Yap, T. A., & Meric-Bernstam, F. (2018) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2018.28 · Cited by 1,033
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Targeting the translation machinery in cancer
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Regulation of mTORC1 by PI3K signaling
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ROS signaling under metabolic stress: cross-talk between AMPK and AKT pathway
Zhao, Y., Hu, X., Liu, Y., Dong, S., Wen, Z., He, W., Zhang, S., Huang, Q., & Shi, M. (2017) · Molecular Cancer · doi:10.1186/s12943-017-0648-1 · Cited by 735
Metadata
- Authors
- Fruman, D. A., & Rommel, C.
- Venue
- Nature Reviews Drug Discovery
- Published
- 2014-01-31
- Volume
- 13
- Issue
- 2
- Pages
- 140-156
- ISSN
- 1474-1776 (ISSN-L)
- 1474-1784
- OpenAlex
- W2054917860
- Cited by
- 1,709
- References
- 35
- FWCI
- 13.48
- 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).
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