Germline Pathogenic Variant Prediction Model for Tumor-Only Sequencing Based on Japanese Clinicogenomic Database
Variant-level prediction models for Japanese patients with cancer incorporating TAR and MAF offer improved GPV prediction over gene-level approaches and support clinical decision-making and personalized medicine.
Authors
- Liuzhe Zhang (ORCID: https://orcid.org/0000-0003-0656-2365)
- Masachika Ikegami (ORCID: https://orcid.org/0000-0003-0491-7142)
- Hiroshi Kobayashi (ORCID: https://orcid.org/0000-0002-8060-7309)
- Tatsuro Yamaguchi (ORCID: https://orcid.org/0000-0001-8454-1995)
- Shinji Kohsaka (ORCID: https://orcid.org/0000-0001-8651-6136)
- Makoto Hirata (ORCID: https://orcid.org/0000-0002-9994-9958)
- Shinya Oda (ORCID: https://orcid.org/0000-0001-9226-8511)
- Hiroyuki Mano (ORCID: https://orcid.org/0000-0003-4645-0181)
- Toshihide Hirai (ORCID: https://orcid.org/0000-0003-3064-8900)
Institutions
- Tokyo Metropolitan Komagome Hospital (JP)
- National Cancer Centre Japan (JP)
- National Cancer Center (US)
- National Hospital Organization Kyushu Cancer Center (JP)
- University of Tokyo Hospital (JP)
- National Cancer Center Hospital East (JP)
- Tokyo National Hospital (JP)
- National Cancer Research Institute (GB)
- The University of Tokyo (JP)
Publication Details
- Journal
- Clinical Cancer Research
- Published
- 2025-12-17
- DOI
- https://doi.org/10.1158/1078-0432.ccr-25-2985
- Primary Topic
- Cancer Genomics and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00