Binary classification of copy number alteration profiles in liquid biopsy with potential clinical impact in advanced NSCLC.

ABSTRACT: Liquid biopsy has recently emerged as an important tool in clinical practice particularly for lung cancer patients. We retrospectively evaluated cell-free DNA analyses performed at our Institution by next generation sequencing methodology detecting the major classes of genetic alterations. Starting from the graphical representation of chromosomal alterations provided by the analysis software, we developed a support vector machine classifier to automatically classify chromosomal profiles as stable (SCP) or unstable (UCP). High concordance was found between our binary classification and tumor fraction evaluation performed using shallow whole genome sequencing. Among clinical features, UCP patients were more likely to have ≥ 3 metastatic sites and liver metastases. Longitudinal assessment of

SUBMITTER: Tosello V 

PROVIDER: S-EPMC11316016 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature