Plasma cell-free DNA as a sensitive biomarker for multi-cancer detection and immunotherapy outcomes prediction.

ABSTRACT:

Background

Cell-free DNA (cfDNA) has shown promise in detecting various cancers, but the diagnostic performance of cfDNA end motifs for multiple cancer types requires verification. This study aimed to assess the utility of cfDNA end motifs for multi-cancer detection.

Methods

This study included 206 participants: 106 individuals with cancer, representing 20 cancer types, and 100 healthy individuals. The participants were divided into training and testing cohorts. All plasma cfDNA samples were profiled by whole-genome sequencing. A random forest model was constructed using cfDNA 4 bp-end-motif profiles to predict cancer in the training cohort, and its performance was evaluated in the testing cohort. Additionally, a separate random forest model was developed to predict immunoth

SUBMITTER: Xu J 

PROVIDER: S-EPMC10776501 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature