Back

Systematic benchmarking of low-input whole exome sequencing workflows for longitudinal ctDNA profiling in pancreatic ductal adenocarcinoma

James, L. G.; Thorn, G. J.; Morel, C.; PCRFTB, ; Kocher, H. M.; Ross-Adams, H. E.; Chelala, C.

2026-07-03 genomics
10.64898/2026.06.29.734743 bioRxiv
Show abstract

Whole exome sequencing (WES) of circulating tumour DNA (ctDNA) enables longitudinal monitoring of tumour dynamics, evolution and treatment response but remains technically challenging in low-input, low-shedding settings such as pancreatic ductal adenocarcinoma (PDAC). Here, we systematically compared three commercially available low-input WES workflows incorporating Agilent (V6, V8) and Qiagen exome capture designs using ultra-low input cfDNAs extracted from multiple matched longitudinal plasma samples from PDAC patients. Using predefined performance metrics including coverage, duplication rate and variant detection and additional metrics relevant for clinical genomic profiling in patient care, we show that all three workflows produced high-quality sequencing data, even from very low input cfDNA. Within the conditions tested here, the Agilent V8 workflow provided the most favourable balance of coverage uniformity, sequencing efficiency and hotspot coverage for low input, low tumour fraction cfDNA WES. These findings demonstrate that workflow design, including capture footprint, substantially influences ctDNA WES performance in low-input clinical contexts. These findings are particularly relevant in early stage and/or minimal residual disease settings, where tumour fractions are low and recovery of genomic information from limited-input samples is critical.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Scientific Reports
3612 papers in training set
Top 2%
13.4%
2
BMC Genomics
406 papers in training set
Top 0.2%
12.3%
3
Genome Medicine
183 papers in training set
Top 0.3%
7.5%
4
Nature Communications
5641 papers in training set
Top 23%
7.0%
5
The Journal of Molecular Diagnostics
39 papers in training set
Top 0.1%
4.6%
6
Microbial Genomics
225 papers in training set
Top 0.9%
3.4%
7
BMC Medical Genomics
50 papers in training set
Top 0.3%
2.5%
50% of probability mass above
8
Frontiers in Genetics
230 papers in training set
Top 2%
2.5%
9
Genome Biology
637 papers in training set
Top 4%
2.5%
10
Clinical Chemistry
22 papers in training set
Top 0.1%
2.2%
11
Bioinformatics
1204 papers in training set
Top 7%
1.8%
12
Communications Biology
993 papers in training set
Top 13%
1.8%
13
Briefings in Bioinformatics
354 papers in training set
Top 4%
1.8%
14
Computational and Structural Biotechnology Journal
242 papers in training set
Top 3%
1.7%
15
GigaScience
212 papers in training set
Top 2%
1.7%
16
PLOS ONE
5266 papers in training set
Top 50%
1.6%
17
Genomics, Proteomics & Bioinformatics
16 papers in training set
Top 0.1%
1.4%
18
Journal of Clinical Virology
63 papers in training set
Top 0.5%
1.2%
19
BMC Bioinformatics
457 papers in training set
Top 5%
1.2%
20
Nature Biotechnology
172 papers in training set
Top 3%
1.2%
21
Genomics
64 papers in training set
Top 1%
1.1%
22
British Journal of Cancer
49 papers in training set
Top 1%
1.1%
23
Genome Research
468 papers in training set
Top 5%
1.0%
24
BMC Cancer
67 papers in training set
Top 2%
1.0%
25
Wellcome Open Research
67 papers in training set
Top 1%
1.0%
26
Cancer Research Communications
51 papers in training set
Top 2%
0.9%
27
International Journal of Molecular Sciences
494 papers in training set
Top 14%
0.9%
28
NAR Genomics and Bioinformatics
242 papers in training set
Top 4%
0.9%
29
Scientific Data
209 papers in training set
Top 3%
0.6%
30
npj Genomic Medicine
36 papers in training set
Top 0.9%
0.6%