Tumor DNA Mutations
Cell-free DNA (cfDNA) is non-encapsulated DNA present in the bloodstream, with a portion originating from a tumor clone.
cfDNA enters the bloodstream via apoptosis or necrosis, and contains the DNA mutations characteristic of the tumors from which it originates.
With the emergence of powerful technologies including next-generation sequencing (NGS), cfDNA analysis may enable cancer screening, detection, and monitoring via liquid biopsy.
Machine learning offers a solution for analyzing the enormous amount of data produced by screening technologies, and is being applied to identify patterns and markers that would otherwise be missed by technicians and physicians.
Combining a liquid biopsy with machine learning offers a less invasive alternative to tissue biopsy and imaging, and could simplify monitoring with repeated, minimally invasive blood samples.
One of the challenges of incorporating machine learning is that it relies on training with representative samples. The algorithm is adjusted and improved as more data is entered, enabling better decision-making. Large-scale studies are underway to create a library of cancer mutations from cfDNA data that may be used to train algorithms.