Genomic Landscape and Clinical Utility in Korean Advanced Pan-Cancer Patients from Prospective Clinical Sequencing:

Kyong Hwa Park1,2, Jung Yoon Choi1,2, Ah-Reum Lim1,2

  • 1Division of Medical Oncology/Hematology, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea.

Cancer Discovery
|December 4, 2021
PubMed

Insights

Precision oncology tailors cancer treatment by identifying unique molecular targets. This study reveals genomic diversity in East Asian cancer patients, informing personalized treatment strategies and clinical trial enrollment.

Area of Science:

  • Oncology
  • Genomics
  • Translational Medicine

Background:

  • Precision oncology relies on identifying actionable molecular targets for personalized cancer care.
  • Implementing precision oncology requires understanding tumor molecular properties for clinical trial matching.
  • Genomic profiling is crucial for tailoring treatments to individual patients.

Purpose of the Study:

  • To present a comprehensive genomic overview of East Asian cancer patients.
  • To determine the prevalence and associations of major driver mutations.
  • To compare genomic diversity and clinical actionability across diverse populations.

Main Methods:

  • Initiated a nationwide, multi-institutional precision oncology screening program.
  • Analyzed genomic properties of East Asian patients with cancer.
  • Delineated genomic diversity and clinical actionability at pan-cancer and single-tumor levels.

Main Results:

  • Presented a comprehensive genomic profile of East Asian pan-cancer patients.
  • Demonstrated significant diversity in genomic characteristics and clinical utility compared to European ancestry patients.
  • Highlighted the importance of molecular properties for personalized treatment decisions.

Conclusions:

  • Genomic profiling reveals significant diversity in East Asian cancer patients.
  • Understanding this diversity is key to advancing personalized cancer treatments.
  • Publicly accessible data supports future large-scale oncology research.

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