Analytical and clinical validation of CancerMaster, an automated targeted NGS panel, for tumor-only precision

Jingmin Che1, Woo Sun Kwon1, Jaeyoung Kim2

  • 1Song-dang Institute for Cancer Research, Yonsei University College of Medicine, Seoul, Republic of Korea.

Scientific Reports
|February 10, 2026
PubMed

Insights

The CancerMaster next-generation sequencing panel offers comprehensive molecular profiling for solid tumors, detecting various genomic alterations and infections efficiently. It shows high accuracy and concordance, supporting personalized cancer treatment decisions.

Area of Science:

  • Oncology
  • Genomics
  • Molecular Biology

Background:

  • Next-generation sequencing (NGS) enables comprehensive molecular profiling of solid tumors.
  • Existing NGS approaches can face delays in analysis and reporting.
  • Multidimensional molecular profiling is crucial for personalized cancer treatment.

Purpose of the Study:

  • To develop and validate the CancerMaster NGS panel for solid tumor profiling.
  • To establish an automated analysis pipeline to reduce turnaround time.
  • To assess the clinical utility of the CancerMaster panel in a patient cohort.

Main Methods:

  • Development of a 524-gene targeted NGS panel (CancerMaster).
  • Establishment of an asynchronous, parallel, automated analysis pipeline with reporting.
  • Validation using reference materials and analysis of a 668-patient cohort.
  • Comparison with the TruSight Oncology 500 (TSO500) panel.

Main Results:

  • CancerMaster demonstrated 100% reproducibility, 99% analytical sensitivity, and 94% accuracy.
  • The panel detected single nucleotide variants/indels, CNVs, fusions, viral infections, MSI, TMB, and HLA typing.
  • Actionable mutations and CNVs were identified in gastric and colorectal cancers.
  • High correlation between MSI and TMB was observed (r=0.75, p<10^-15).
  • CancerMaster showed high concordance with TSO500, uniquely identifying ERBB2 alterations.

Conclusions:

  • The CancerMaster panel provides robust analytical performance for multidimensional molecular profiling of solid tumors.
  • The automated pipeline overcomes delays in existing NGS approaches.
  • CancerMaster has strong clinical potential for guiding personalized cancer therapy.

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