Skip to main content
. Author manuscript; available in PMC: 2019 Jun 28.
Published in final edited form as: Cancer Genet. 2018 Mar 11;228-229:169–179. doi: 10.1016/j.cancergen.2018.02.005

Table 1.

Comparison of PCR-based approaches and next-generation sequencing for their use in cfDNA analysis and applications.

Methods PCR-based approaches Next-generation sequencing
Features Highly sensitive (MAF 0.001%) Less sensitive (MAF 0.1–10%)
Fast to run Long to run
Limited multiplexing High levels of multiplexing
Easy to interpret results Requires bioinformatics and computational resources
Low cost High cost
Absolute quantification Approximate quantification
Applications Identification of single or few mutations for molecular diagnostics and guiding therapy Identification of multiple mutations for molecular diagnosis and guiding therapy
Tracking mutations during therapy Tracking mutations during therapy
Limited to mutations in assay Discovery of new mutations
Measuring mutation load to predict prognosis Measuring mutation load to predict prognosis
Monitoring for minimal residual disease Monitoring for minimal residual disease requires UMIs and sequencing to redundancy
Copy number alteration detection in single or few genes Broad copy number alteration detection across whole genome
Studies of emerging resistance with well-defined mechanisms Studies of all emerging resistance
Tracking recurrence of known mutations Tracking recurrence of known or unknown mutations

Abbreviations: PCR polymerase chain reaction, MAF mutant allele fraction, UMI unique molecular indexes, cfDNA cell-free DNA.