Cytomorphologic features of NTRK-rearranged thyroid carcinoma

Kartik Viswanathan1, Ying-Hsia Chu2, William C Faquin1

  • 1Departments of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.

Cancer Cytopathology
|October 19, 2020
PubMed
Abstract

Insights

NTRK-rearranged thyroid carcinomas (NRTC) have potential therapeutic targets. Cytomorphologic analysis of fine needle aspiration (FNA) and molecular testing can help identify these rare cancers for better treatment planning.

Area of Science:

  • Oncology
  • Cytopathology
  • Molecular Diagnostics

Background:

  • NTRK-rearranged thyroid carcinomas (NRTC) are rare but therapeutically targetable.
  • Cytomorphologic features of NRTC via fine needle aspiration (FNA) and preoperative molecular testing are not well-characterized.

Purpose of the Study:

  • To analyze cytomorphologic features of NRTC using FNA.
  • To correlate FNA findings with clinical, radiologic, histopathologic, and molecular data.
  • To evaluate the utility of preoperative molecular testing for NRTC.

Main Methods:

  • Retrospective review of 21 NRTC FNA specimens from 19 patients.
  • Analysis of cytomorphologic features on Papanicolaou and liquid-based cytology preparations.
  • Histopathologic review of resections for all patients.
  • Correlation with clinical, imaging, and molecular data.

Main Results:

  • Sonographic findings included hypoechogenicity, solid composition, ill-defined borders, and microcalcifications.
  • Cytomorphologic features observed: mixed architectural patterns, fibrosis, oncocytic/vacuolated cytoplasm, and intranuclear pseudoinclusions.
  • Most FNAs were classified as suspicious or malignant (89%); one case with atypia revealed an NTRK1 fusion via molecular testing.

Conclusions:

  • NRTC lacks a consistent cytomorphologic signature but specific features (mixed patterns, fibrosis, cytoplasmic/nuclear characteristics) warrant suspicion.
  • Combining cytomorphology with negative BRAFV600E immunohistochemistry can guide selection for molecular testing.
  • An algorithmic approach aids in identifying NRTC, optimizing treatment strategies for patients.