Genomic instability

Genomic instability, manifested through somatic variants and mutational processes, is extensively characterized across diverse human malignancies [1, 4, 5, 8]. Large-scale genomic analyses, including whole-exome sequencing of thousands of tumors and matched normal samples, have successfully established somatic landscapes, mutation frequencies, and distinct mutational signatures across multiple cancer types [1, 4, 8]. Furthermore, genomic alterations and somatic mutations are not restricted to established malignancies; they are also detectable in the peripheral-blood cells of individuals without known hematologic disorders, specifically manifesting as age-related clonal hematopoiesis that associates with adverse clinical outcomes [7].

Despite these foundational insights into somatic landscapes and mutational signatures, important open questions remain regarding the precise downstream computational integration of somatic variants [4], the full spectrum of underlying mechanisms driving distinct mutational processes across varied cell types [1], and the detailed trajectories by which age-related clonal mutations culminate in overt disease [7].

The strength of evidence regarding the cataloging of somatic mutations and cancer-associated genomic instability is high, supported by robust large-scale genomic datasets from initiatives such as The Cancer Genome Atlas [8], comprehensive analytical toolsets [4], and large cohort sequencing studies [7].