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 accessAbstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
1 retracted
Melillo, R. M., Castellone, M. D., Guarino, V., De Falco, V., Cirafici, A. M., Salvatore, G., Caiazzo, F., Basolo, F., Giannini, R., Kruhoffer, M., et al. (2016) · Journal of Clinical Investigation · doi:10.1172/jci87345 · Cited by 306
RetractedGefitinib or Carboplatin–Paclitaxel in Pulmonary Adenocarcinoma
Mok, T. S., Wu, Y.-L., Thongprasert, S., Yang, C.-H., Chu, D.-T., Saijo, N., Sunpaweravong, P., Han, B., Margono, B., Ichinose, Y., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0810699 · Cited by 8,261
Improved survival with vemurafenib in melanoma with BRAF V600E mutation
Chapman, P. B., Hauschild, A., Robert, C., Haanen, J. B., Ascierto, P., Larkin, J., Dummer, R., Garbe, C., Testori, A., Maio, M., et al. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1103782 · Cited by 7,720
Comprehensive molecular profiling of lung adenocarcinoma
The Cancer Genome Atlas Research Network (2014) · Nature · doi:10.1038/nature13385 · Cited by 5,732
Gefitinib or Chemotherapy for Non–Small-Cell Lung Cancer with Mutated EGFR
Maemondo, M., Inoue, A., Kobayashi, K., Sugawara, S., Oizumi, S., Isobe, H., Gemma, A., Harada, M., Yoshizawa, H., Kinoshita, I., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa0909530 · Cited by 5,525
Rosell, R., Carcereny, E., Gervais, R., Vergnenegre, A., Massuti, B., Felip, E., Palmero, R., Garcia-Gomez, R., Pallares, C., Sanchez, J. M., et al. (2012) · The Lancet Oncology · doi:10.1016/s1470-2045(11)70393-x · Cited by 5,489
Druker, B. J., Talpaz, M., Resta, D. J., Peng, B., Buchdunger, E., Ford, J. M., Lydon, N. B., Kantarjian, H., Capdeville, R., Ohno-Jones, S., et al. (2001) · New England Journal of Medicine · doi:10.1056/nejm200104053441401 · Cited by 5,243
Crizotinib versus Chemotherapy in Advanced ALK -Positive Lung Cancer
Shaw, A. T., Kim, D.-W., Nakagawa, K., Seto, T., Crinó, L., Ahn, M.-J., De Pas, T., Besse, B., Solomon, B. J., Blackhall, F., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1214886 · Cited by 3,381
Sequist, L. V., Yang, J. C.-H., Yamamoto, N., O'Byrne, K., Hirsh, V., Mok, T., Geater, S. L., Orlov, S., Tsai, C.-M., Boyer, M., et al. (2013) · Journal of Clinical Oncology · doi:10.1200/jco.2012.44.2806 · Cited by 3,228
First-Line Crizotinib versus Chemotherapy in ALK -Positive Lung Cancer
Solomon, B. J., Mok, T., Kim, D.-W., Wu, Y.-L., Nakagawa, K., Mekhail, T., Felip, E., Cappuzzo, F., Paolini, J., Usari, T., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1408440 · Cited by 3,190
Cited by
Precision Targeted Therapy with BLU-667 for RET-Driven Cancers
Subbiah, V., Gainor, J. F., Rahal, R., Brubaker, J. D., Kim, J. L., Maynard, M., Hu, W., Cao, Q., Sheets, M. P., Wilson, D., et al. (2018) · Cancer Discovery · doi:10.1158/2159-8290.cd-18-0338 · Cited by 396
State-of-the-Art Strategies for Targeting RET-Dependent Cancers
Subbiah, V., Yang, D., Velcheti, V., Drilon, A., & Meric-Bernstam, F. (2020) · Journal of Clinical Oncology · doi:10.1200/jco.19.02551 · Cited by 258
Self-citationMolecular Insight of Regorafenib Treatment for Colorectal Cancer
Arai, H., Battaglin, F., Wang, J., Lo, J. H., Soni, S., Zhang, W., & Lenz, H.-J. (2019) · Cancer Treatment Reviews · doi:10.1016/j.ctrv.2019.101912 · Cited by 191
Toward a More Precise Future for Oncology
Murciano-Goroff, Y. R., Taylor, B. S., Hyman, D. M., & Schram, A. M. (2020) · Cancer Cell · doi:10.1016/j.ccell.2020.03.014 · Cited by 48
Cancer Therapy Guided by Mutation Tests: Current Status and Perspectives
Aleksakhina, S. N., & Imyanitov, E. N. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222010931 · Cited by 41
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- 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
- The paper
- 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
Data sources
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.