Evidence map›Paper›PMID 40880035›Full record

ReviewDrugs2025

Systemic Therapy for Advanced Thyroid Cancer-New Personalized Options.

Leslie Cheng, Kate Newbold

Abstract readReview
PubMed Publisher
In one paragraph

Review in Drugs, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Leslie ChengThyroid Unit, The Royal Marsden NHS Foundation Trust, 203 Fulham Road, London, SW3 6JJ, United Kingdom. lesliecheng@nhs.net.ORCID http://orcid.org/0000-0003-3981-897X
Kate NewboldThyroid Unit, The Royal Marsden NHS Foundation Trust, 203 Fulham Road, London, SW3 6JJ, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tyrosine kinase inhibitors (TKIs) have revolutionised systemic therapy for advanced thyroid cancers, including radioiodine-refractory differentiated thyroid cancer (RR-DTC), anaplastic thyroid cancer (ATC) and medullary thyroid cancer (MTC), which respond poorly to conventional cytotoxic chemotherapy. The treatment of advanced thyroid cancer is also increasingly personalised, with recent advances in genomic-driven, highly selective targeted therapies. This review summarises contemporary evidence regarding the efficacy, safety and clinical application of drug therapies in thyroid cancers, whilst exploring their evolving role in the age of personalised medicine. Multikinase inhibitors (MKIs) such as sorafenib, lenvatinib, vandetanib and cabozantinib have demonstrated significant improvements in progression-free survival and objective response rates in patients with RR-DTC and MTC. In ATC-a highly lethal tumour-BRAF-directed therapies have shown promising efficacy in patients harbouring the BRAF V600E mutation, yielding enhanced survival outcomes. Moreover, highly-selective inhibitors targeting RET, NTRK and other actionable alterations have refined treatment paradigms by increased integration of molecular testing via next-generation sequencing, ensuring treatments are tailored to the genetic profile of an individual tumour. Despite significant progress, management of advanced thyroid cancer remains challenged by drug resistance and toxicity, underscoring the need for ongoing research and innovation. Furthermore, vast improvements are still required to ensure universal access to molecular testing and targeted therapies.

Indexed as

Antineoplastic AgentsPrecision MedicineProtein Kinase InhibitorsThyroid NeoplasmsHumansMolecular Targeted TherapyAntineoplastic AgentsProtein Kinase Inhibitors

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.