Abstract:Background:
In cancer therapy, precise tumor-agnostic biomarkers that predict response to immune checkpoint inhibitors (ICIs) are needed. To explain treatment response differences among tumor types, the application of mutational signatures, patterns of genomic alterations that reflect differences in distinct underlying carcinogenic processes, holds promise but has not been extensively integrated into prediction methodologies.
Methods:
Based on mutational signature analysis, we developed a stratification for a… Show more
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