Machine learning enables detection of early-stage colorectal cancer by whole-genome sequencing of plasma cell-free DNA.
Journal:
BMC cancer
Published Date:
Aug 23, 2019
Abstract
BACKGROUND: Blood-based methods using cell-free DNA (cfDNA) are under development as an alternative to existing screening tests. However, early-stage detection of cancer using tumor-derived cfDNA has proven challenging because of the small proportion of cfDNA derived from tumor tissue in early-stage disease. A machine learning approach to discover signatures in cfDNA, potentially reflective of both tumor and non-tumor contributions, may represent a promising direction for the early detection of cancer.