Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 335

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Targeted Therapy for Advanced Thyroid Cancer: Kinase Inhibitors and Beyond

Open access
Cabanillas, Maria E, Ryder, Mabel, Jimenez, Camilo·2019·Endocrine Reviews

Abstract

The treatment of advanced thyroid cancer has undergone rapid evolution in the last decade, with multiple kinase inhibitor drug approvals for each subtype of thyroid cancer and a number of other commercially available drugs that have been studied for this indication. Although most of the US Food and Drug Administration (FDA)–approved drugs are antiangiogenic multikinase inhibitors—vandetanib, cabozantinib, sorafenib, lenvatinib—there are two FDA indications that are mutation specific—dabrafenib/trametinib for BRAF-mutated anaplastic thyroid cancer and larotrectinib for NTRK-fusion thyroid cancer. Furthermore, other mutation-specific drugs, immunotherapies, and novel strategies for advanced thyroid cancer are under investigation. Understanding the molecular basis of thyroid cancer, the drugs of interest for treatment of advanced thyroid cancer, and how these drugs can be administered safely and in the appropriate clinical scenario are the topics of this review.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1210/er.2019-00007

Cites

8 of 8 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 8 references

Cited by

See all 335

Metadata

Authors
Cabanillas, M. E., Ryder, M., & Jimenez, C.
Venue
Endocrine Reviews
Published
2019-07-19
Volume
40
Issue
6
Pages
1573-1604
ISSN
  • 0163-769X (ISSN-L)
  • 1945-7189
OpenAlex
W2966674226
Cited by
335
References
8
FWCI
23.23
Type
journal article
Language
en
Open access
bronze

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: Targeted Therapy for Advanced Thyroid Cancer: Kinase Inhibitors and Beyond. https://app.cochat.ai/papers/10.1210/er.2019-00007
The paper
Cabanillas, M. E., Ryder, M., & Jimenez, C. (2019). Targeted Therapy for Advanced Thyroid Cancer: Kinase Inhibitors and Beyond. Endocrine Reviews. https://doi.org/10.1210/er.2019-00007

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.