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An approach for improvement of the accuracy of cancer gene panel testing

  • Kiyomi Imoto,
  • Hiroyuki Yamamoto,
  • Chie Ohkawa,
  • Naoki Shimada,
  • Ryo Ikuzawa,
  • Hiroyuki Takeda,
  • Tatsuru Ohhara,
  • Yasuyuki Kojima,
  • Naoki Furuya,
  • Ai Motoyoshi,
  • Ohsuke Migita,
  • Asami Kuga,
  • Takayuki Keira,
  • Hirotake Wakamatsu,
  • Tomoo Sato,
  • Nobuyuki Oike,
  • Junki Koike,
  • Yoshihisa Yamano,
  • Yu Sunakawa

摘要

Background

Tissue-based comprehensive genomic profiling (CGP) is increasingly being employed for genotype-directed therapies in patients with advanced cancer. However, tissue availability may limit their potential applications. In Japan, the cost of cancer gene panel tests is covered by public insurance for patients diagnosed with advanced solid tumors once in their lifetime. Therefore, it is essential to improve the success rate (reportability) and accuracy of CGP tests. The purpose of this study was to identify the factors associated with efficient and accurate CGP testing using relevant information obtained from real-world data.

Methods

This study included 159 samples analyzed using tumor-only panel FoundationOne® CDx cancer genome profiling (F1CDx) and 85 samples analyzed using matched-pair panel OncoGuide™ NCC Oncopanel system (NCCOP) at St. Marianna University Hospital. Sample characteristics (fixation conditions, storage period, histology, tumor cell ratio, and genomic tumor cell content), CGP performance, and quality control status were evaluated across all 244 tested samples.

Results

In 237/244 samples (97.1%), CGP testing results were successfully obtained [F1CDx, 99.4% (158/159) and NCCOP, 92.9% (79/85)]. An increased number of fibroblasts, inflammatory cells, and necrotic tumor cells, long-term storage, and/or prolonged fixation of tissue sections were involved in the unreported results and/or qualified CGP results. In addition, a negative correlation between median insert size values and ΔΔCq was observed in the NCCOP system.

Conclusion

We identified various factors associated with efficient and accurate CGP testing using relevant information obtained from real-world data, suggesting that thorough selection and preparation of tissue sections could optimize CGP and maximize useful information.