Targeted therapies in thyroid cancer: an extensive review of the literature

Athanasios Bikas1, Shivangi Vachhani1, Kirk Jensen2

  • 1a Division of Endocrinology, Department of Medicine , MedStar Washington Hospital Center , Washington , DC , USA.

Abstract

Insights

Targeted therapies, including tyrosine kinase inhibitors (TKIs), offer new hope for advanced thyroid cancer (TC). Approved TKIs provide options for refractory differentiated thyroid cancer (DTC) and advanced medullary thyroid cancer (MTC).

Area of Science:

  • Oncology
  • Molecular Biology
  • Pharmacology

Background:

  • Limited therapeutic options exist for progressive, metastatic, RAI-refractory differentiated thyroid cancer (DTC), advanced medullary thyroid cancer (MTC), and anaplastic thyroid cancer.
  • Molecular discoveries have illuminated thyroid cancer (TC) pathogenesis and progression, paving the way for targeted therapies.
  • Tyrosine Kinase Inhibitors (TKIs) represent a promising therapeutic avenue for advanced TC.

Purpose of the Study:

  • To provide an extensive review of targeted therapies in thyroid cancer.
  • To discuss the rationale, clinical trials, and expert opinions on the use of TKIs in TC.
  • To highlight FDA-approved TKIs for specific types of advanced thyroid cancer.

Main Methods:

  • Comprehensive literature review of English-language publications in PubMed.
  • Focus on manuscripts published within the last five years.
  • Inclusion of clinical trial data and expert commentary on targeted therapies for TC.

Main Results:

  • Sorafenib and lenvatinib are FDA-approved for metastatic, RAI-refractory DTC.
  • Vandetanib and cabozantinib are FDA-approved for advanced MTC.
  • Several other TKIs are under investigation for various types of TC.

Conclusions:

  • Targeted therapies, particularly TKIs, have emerged as crucial treatment options for advanced thyroid cancer.
  • Patients with advanced, progressive, metastatic TC should be considered for clinical trials or FDA/EMA-approved agents.
  • Ongoing research into novel TKIs holds promise for improving outcomes in TC.

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