Skip to main content
. 2017 Apr 7;15(2):59–72. doi: 10.1016/j.gpb.2016.12.004

Table 3.

Comparison of methods for ctDNA detection

Method Description Detection limit (% ctDNA) Strengths Limitations Refs.
Allele-specific PCR Preferentially amplifying rare mutant DNA molecules 0.10–1.00 Ease to use; lowest cost Lower sensitivity; only able to test small number of genomic positions in a sample [141]



Digital PCR Counting mutant molecules via partitioning of DNA molecules 0.01 High sensitivity Only able to test small number of genomic positions in a sample [142]



NGS amplicon based Deep sequencing of PCR amplicons 0.01–2.00 High sensitivity (some methods); less expensive than other NGS methods Less comprehensive than other NGS methods; unable to detect SCNAs; unable to detect rearrangements without assay customization [55]



WGS Deep sequencing of entire genome 1.00 Interrogating entire genome; broadly applicable without personalization Expensive; low sensitivity; mostly limited to SCNA detection [41]



WES Deep sequencing of exome 5.00 Interrogating entire exome; broadly applicable without personalization Expensive; low sensitivity [41]



CAPP-Seq Targeted hybrid capture 0.01 High sensitivity for SNVs, indels, rearrangement, and SCNAs detection; broadly applicable without personalization Less comprehensive than WGS or WES [143], [144]



iDES-enhanced CAPP-Seq Targeted hybrid capture and integrated digital error suppression 0.01 High scalability, flexibility, and coverage uniformity; able to reliably evaluate all mutation classes in a single assay Less comprehensive than WGS or WES [145]

Note: Table was adapted from Chaudhuri et al. [4] with permission. ctDNA, circulating tumor DNA; SCNA, somatic copy number alteration; SNV, single nucleotide variation; WES, whole-exome sequencing; WGS, whole-genome sequencing; CAPP-Seq, CAncer personalized profiling by deep sequencing; iDES, integrated digital error suppression.