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Cited by 406

The DOI matches its Crossref record; 186 of the 186 references it cites were found in a registry or an index.

Targeting RET-driven cancers: lessons from evolving preclinical and clinical landscapes

Open access
Drilon, Alexander, Hu, Zishuo I., Lai, Gillianne G. Y., Tan, Daniel S. W.·2018·Nature Reviews Clinical Oncology

Abstract

The gene encoding the receptor-tyrosine kinase RET was first discovered more than three decades ago, and activating RET rearrangements and mutations have since been identified as actionable drivers of oncogenesis. Several multikinase inhibitors with activity against RET have been explored in the clinic, and confirmed responses to targeted therapy with these agents have been observed in patients with RET-rearranged lung cancers or RET-mutant thyroid cancers. Nevertheless, response rates to RET-directed therapy are modest compared with those achieved using targeted therapies matched to other oncogenic drivers of solid tumours, such as sensitizing EGFR or BRAFV600E mutations, or ALK or ROS1 rearrangements. To date, no RET-directed targeted therapeutic has received regulatory approval for the treatment of molecularly defined populations of patients with RET-mutant or RET-rearranged solid tumours. In this Review, we discuss how emerging data have informed the debate over whether the limited success of multikinase inhibitors with activity against RET can be attributed to the tractability of RET as a drug target or to the lack, until 2017, of highly specific inhibitors of this oncoprotein in the clinic. We emphasize that novel approaches to targeting RET-dependent tumours are necessary to improve the clinical efficacy of single-agent multikinase inhibition and, thus, hasten approvals of RET-directed targeted therapies.

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Metadata

Authors
Drilon, A., Hu, Z. I., Lai, G. G. Y., & Tan, D. S. W.
Venue
Nature Reviews Clinical Oncology
Published
2017-11-14
Volume
15
Issue
3
Pages
151-167
ISSN
  • 1759-4774 (ISSN-L)
  • 1759-4782
OpenAlex
W2769006626
Cited by
406
References
186
FWCI
6.07
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Targeting RET-driven cancers: lessons from evolving preclinical and clinical landscapes. https://app.cochat.ai/papers/10.1038/nrclinonc.2017.175
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Drilon, A., Hu, Z. I., Lai, G. G. Y., & Tan, D. S. W. (2018). Targeting RET-driven cancers: lessons from evolving preclinical and clinical landscapes. Nature Reviews Clinical Oncology. https://doi.org/10.1038/nrclinonc.2017.175

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.