Kinase Fusion-Related Thyroid Carcinomas: Towards Predictive Models for Advanced Actionable Diagnostics

Ying-Hsia Chu1, Peter M Sadow2

  • 1Department of Pathology, Chang Gung Memorial Hospital and Chang Gung University, Taoyuan, Taiwan.

Endocrine Pathology
|October 29, 2022
PubMed

Insights

Targeted therapies, like kinase inhibitors, are effective for thyroid cancer with actionable kinase fusions. Understanding kinase fusion-driven thyroid carcinoma (KFTC) is crucial for effective treatment strategies.

Area of Science:

  • Oncology
  • Molecular Biology
  • Pathology

Background:

  • Thyroid cancer treatment has advanced with targeted therapies, particularly kinase inhibitors.
  • Kinase fusions are found in 10-15% of thyroid cancers, representing a significant subset for targeted therapy.
  • Molecular testing platforms are now integrated into clinical practice for identifying targetable tumors.

Purpose of the Study:

  • To review the clinicopathologic and molecular features of kinase fusion-driven thyroid carcinoma (KFTC).
  • To summarize current literature on KFTC, including investigational progress and challenges.
  • To highlight the need for standardized, evidence-based treatment regimens for KFTC.

Main Methods:

  • Review of current literature on KFTC.
  • Analysis of clinicopathologic and molecular features.
  • Examination of molecular predictors of kinase inhibitor resistance.

Main Results:

  • Selective kinase inhibitors are a successful targeted therapy for a subset of thyroid carcinomas.
  • An integrative approach combining traditional pathology and molecular assays is essential for diagnosis and treatment.
  • Research is ongoing to characterize KFTC and identify resistance mechanisms.

Conclusions:

  • Kinase fusion-driven thyroid carcinoma (KFTC) represents a unique and important subset of thyroid neoplasms.
  • Further research is needed to establish standardized treatment regimens and overcome challenges in managing KFTC.
  • Understanding molecular predictors of resistance is key to optimizing kinase inhibitor therapy.