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Related Experiment Video

Updated: Aug 17, 2025

Detection of Cell-Free DNA in Blood Plasma Samples of Cancer Patients

Detection of Cell-Free DNA in Blood Plasma Samples of Cancer Patients

Published on: September 9, 2020

How to detect cancer early using cell-free DNA.

Samantha O Hasenleithner¹, Michael R Speicher²

¹Institute of Human Genetics, Diagnostic and Research Center for Molecular BioMedicine, Medical University of Graz, Graz, Austria.

|December 13, 2022

Summary

Cell-free circulating DNA (cfDNA) analysis shows promise for multi-cancer early detection (MCED). Studies suggest cfDNA methylation patterns are the most effective method for MCED testing.

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Area of Science:

Biochemistry
Genomics
Machine Learning

Background:

Cell-free circulating DNA (cfDNA) analysis is a potential tool for multi-cancer early detection (MCED).
The optimal cfDNA analysis method for MCED remains undetermined.

Purpose of the Study:

To compare ten machine-learning classifiers for MCED using cfDNA features.
To identify the most promising cfDNA-based approach for MCED.

Main Methods:

Analysis of various cfDNA features.
Application of ten distinct machine-learning classifiers.
Comparative evaluation of classifier performance.

Main Results:

cfDNA methylation patterns demonstrated superior performance in MCED.

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Last Updated: Aug 17, 2025

Detection of Cell-Free DNA in Blood Plasma Samples of Cancer Patients

Detection of Cell-Free DNA in Blood Plasma Samples of Cancer Patients

Published on: September 9, 2020

Cell-Free DNA Integrity Analysis in Urine Samples

Cell-Free DNA Integrity Analysis in Urine Samples

Published on: January 5, 2017

Detection and Monitoring of Tumor Associated Circulating DNA in Patient Biofluids

Detection and Monitoring of Tumor Associated Circulating DNA in Patient Biofluids

Published on: June 8, 2019

Specific machine-learning models excelled when utilizing cfDNA methylation data.

Conclusions:

cfDNA methylation analysis is a highly promising strategy for MCED.
Further development of cfDNA methylation-based tests is warranted for clinical application.