Development of an RNA sequencing panel to detect gene fusions in thyroid cancer

Dongmoung Kim1, Seung-Hyun Jung2,3, Yeun-Jun Chung1,3,4

  • 1Department of Biomedicine & Health Sciences, Graduate School, The Catholic University of Korea, Seoul 06591, Korea.

Genomics & Informatics
|February 16, 2022
PubMed

Insights

A new RNA-based sequencing panel, ThyChase, effectively identifies key gene fusions in thyroid cancer. This diagnostic tool can detect fusions down to a 1% tumor cellular fraction, aiding clinical applications.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Gene fusions are significant drivers in cancer development and progression.
  • Existing diagnostic panels for thyroid cancer have limitations in detecting all clinically relevant gene fusions.
  • Accurate identification of gene fusions is crucial for targeted therapy selection in oncology.

Purpose of the Study:

  • To develop and validate a custom RNA-based sequencing panel, named ThyChase, for comprehensive detection of gene fusions in thyroid cancer.
  • To assess the analytical performance, including the limit of detection, of the developed ThyChase panel.
  • To provide a valuable tool for clinical molecular diagnostics in thyroid cancer.

Main Methods:

  • Design of a custom RNA-sequencing panel (ThyChase) targeting 87 gene fusions relevant to thyroid cancer.
  • Inclusion of five housekeeping genes for RNA sequencing quality control.
  • Validation using reference RNA (HD796) and confirmation of identified fusions (EML4-ALK, CCDC6-RET, TPM3-NTRK1) by Sanger sequencing.

Main Results:

  • The ThyChase panel successfully identified three known clinically significant gene fusions in thyroid cancer.
  • Sanger sequencing confirmed the breakpoint sequences of the detected fusions.
  • The panel demonstrated a limit of detection as low as 1% fusion-positive tumor cellularity.

Conclusions:

  • The custom ThyChase panel is a sensitive and specific tool for identifying key gene fusions in thyroid cancer.
  • This panel has the potential to improve diagnostic accuracy and guide treatment decisions in clinical settings.
  • The ThyChase panel represents a significant advancement in molecular profiling for thyroid cancer patients.