[Clinical application of next-generation sequencing technologies to achieve cancer precision medicine]

Katsuya Tsuchihara1

  • 1Division of Translational Research and Clinical Trial Center, National Cancer Center.

Insights

Genomic biomarkers and targeted therapies are advancing cancer treatment. Expanded mutation testing for KRAS and NRAS genes will improve anti-EGFR antibody therapy effectiveness in colorectal cancer patients.

Area of Science:

  • Oncology
  • Genomics
  • Translational Research

Background:

  • Clinical applications of genomic biomarkers and targeted therapies are expanding for various cancers.
  • Ras activation is a negative predictive marker for anti-epidermal growth factor receptor (EGFR) antibody therapy in colorectal cancer.
  • Current clinical practice primarily detects KRAS mutations in codons 12 and 13.

Purpose of the Study:

  • To evaluate novel biomarker candidates using whole-exome sequencing (WES) data.
  • To investigate the role of "minor" KRAS and NRAS mutations in anti-EGFR antibody resistance.
  • To assess the potential for multiplex mutation testing in clinical settings.

Main Methods:

  • Whole-exome sequencing (WES) of anti-EGFR antibody-treated samples from multiple Japanese centers.
  • Analysis of mutation profiles, including KRAS codons 61 and 146, and NRAS mutations.
  • Translational research approach to identify and validate biomarker candidates.

Main Results:

  • Identified "minor" activating mutations in KRAS (codons 61, 146) and NRAS as contributors to resistance.
  • Demonstrated the potential for multiplex mutation testing to include these resistance-associated mutations.
  • Highlighted the importance of infrastructure for handling genetic testing data in clinical practice.

Conclusions:

  • Expanded mutation profiling beyond KRAS codons 12 and 13 is crucial for predicting anti-EGFR antibody therapy response.
  • Multiplex mutation testing holds promise for enhancing precision medicine in colorectal cancer.
  • Establishing robust data infrastructure is essential for the successful implementation of genetic testing in clinical oncology.

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