105. Machine learning for automated tumor classification based on mutation repertoire

A cornerstone of oncologic treatment is accurate tumor type and tissue of origin (TT/TO) identification. Nevertheless, histological analysis is occasionally inconclusive. As comprehensive genomic profiling has become prevalent in cancer care, a method to identify the TT/TO based on tumor mutations would be valuable for clinical practice. Our goal was to develop a machine learning model to identify TT/TO based on the repertoire of mutations restricted to genes present in the Trusight Oncology 500 Assay (Illumina) (TSO500).
Source: Cancer Genetics and Cytogenetics - Category: Genetics & Stem Cells Authors: Source Type: research