Prediction model for ctDNA detectability in liquid comprehensive genomic profiling of advanced pancreatic cancer based on Japanese real-world data
This prediction model enables accurate pre-test estimation of ctDNA detectability in advanced pancreatic cancer and may enhance the clinical utility of liquid CGP by informing optimal test selection and timing.
Authors
- K. Oda
- K. Ishigaki
- H. Kage
- M. Fujishiro
- N. Takeda
- K. Watanabe
- S. Kodera
- A. Shinozaki-Ushiku
- H. Ikushima
Institutions
- University of Tokyo Hospital (JP)
- The University of Tokyo (JP)
Publication Details
- Journal
- ESMO Open
- Published
- 2026-02-01
- DOI
- https://doi.org/10.1016/j.esmoop.2026.106069
- Primary Topic
- Cancer Genomics and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00