Development and Validation of Targeted Gene Sequencing Panel Based Companion Diagnostic for Korean Patients with

Byung-Joo Min1, Woo Seung Lee2, Myung-Eui Seo2

  • 1DNA Analysis Division, National Forensic Service Seoul Institute, Seoul 08036, Korea.

Cancers
|October 23, 2021
PubMed

Insights

A new Korean Pan-cancer Companion Diagnostic (CDX) Panel offers racial specificity for targeted cancer therapies. This cost-effective panel analyzes tumor samples without matched normal tissue, improving treatment for Korean patients.

Area of Science:

  • Oncology
  • Molecular Diagnostics
  • Genomics

Background:

  • Existing cancer diagnostic panels lack racial specificity, particularly for Asian populations.
  • Targeted therapies require molecular profiling, but current methods may not be optimized for specific ethnic groups.

Purpose of the Study:

  • To develop and validate a racially specific companion diagnostic panel for Korean cancer patients.
  • To enable targeted anticancer drug application based on tumor molecular characteristics.

Main Methods:

  • Development of the Korean Pan-cancer Companion Diagnostic (CDX) Panel, including 31 genes for single nucleotide variants, 9 for copy number variations, and 15 for targeted drug responses.
  • Analytical validation using 241 frozen tumor tissues and 71 formalin-fixed paraffin-embedded (FFPE) samples.
  • Optimization of a filtering protocol for somatic variants from tumor-only samples.

Main Results:

  • The panel targets 30 anticancer drugs and is cost-effective.
  • It is optimized for cancer type-specific therapy in Korean patients across solid cancer types.
  • The protocol allows analysis without matched normal samples, reducing limitations of existing approaches.

Conclusions:

  • The Korean Pan-cancer CDX Panel provides a racially specific, cost-effective solution for targeted cancer therapy in Korean patients.
  • The panel streamlines molecular profiling, potentially reducing test turnaround time and cost.
  • This approach facilitates personalized cancer treatment by analyzing tumor-only samples effectively.