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Updated: Feb 7, 2026

Rare Event Detection Using Error-corrected DNA and RNA Sequencing
Published on: August 3, 2018
Automated size selection for short cell-free DNA fragments enriches for circulating tumor DNA and improves error
Sabine Hellwig1, David A Nix2, Keith M Gligorich3
1ARUP Laboratories, Salt Lake City, Utah, United States of America.
Abstract:
Circulating tumor-derived cell-free DNA (ctDNA) enables non-invasive diagnosis, monitoring, and treatment susceptibility testing in human cancers. However, accurate detection of variant alleles, particularly during untargeted searches, remains a principal obstacle to widespread application of cell-free DNA in clinical oncology. In this study, isolation of short cell-free DNA fragments is shown to enrich for tumor variants and improve correction of PCR- and sequencing-associated errors. Subfractions of the mononucleosome of circulating cell-free DNA (ccfDNA) were isolated from patients with melanoma, pancreatic ductal adenocarcinoma, and colorectal adenocarcinoma using a high-throughput-capable automated gel-extraction platform. Using a 128-gene (128 kb) custom next-generation sequencing panel, variant alleles were on average 2-fold enriched in the short fraction (median insert size: ~142 bp) compared to the original ccfDNA sample, while 0.7-fold reduced in the fraction corresponding to the principal peak of the mononucleosome (median insert size: ~167 bp). Size-selected short fractions compared to the original ccfDNA yielded significantly larger family sizes (i.e., PCR duplicates) during in silico consensus sequence interpretation via unique molecular identifiers. Increments in family size were associated with a progressive reduction of PCR and sequencing errors. Although consensus read depth also decreased at larger family sizes, the variant allele frequency in the short ccfDNA fraction remained consistent, while variant detection in the original ccfDNA was commonly lost at family sizes necessary to minimize errors. These collective findings support the automated extraction of short ccfDNA fragments to enrich for ctDNA while concomitantly reducing false positives through in silico error correction.
Insights
Isolating short cell-free DNA fragments enriches tumor variants and improves error correction for more accurate cancer detection. This method enhances circulating tumor DNA analysis for clinical oncology applications.
Area of Science:
- Oncology
- Molecular Biology
- Genomics
Background:
- Circulating tumor-derived cell-free DNA (ctDNA) is crucial for non-invasive cancer diagnosis and monitoring.
- Accurate detection of ctDNA variants is challenging due to PCR and sequencing errors, hindering clinical application.
Purpose of the Study:
- To investigate the enrichment of tumor variants in short cell-free DNA fragments.
- To assess the impact of fragment size selection on error correction for improved ctDNA analysis.
Main Methods:
- Automated gel-extraction platform used to isolate circulating cell-free DNA (ccfDNA) subfractions from cancer patients.
- Next-generation sequencing panel (128 genes, 128 kb) applied to analyze variant alleles in different ccfDNA fractions.
- In silico analysis using unique molecular identifiers to assess PCR duplicate family sizes and error rates.
Main Results:
- Short ccfDNA fractions (median ~142 bp) showed a 2-fold enrichment of variant alleles compared to original ccfDNA.
- Larger PCR duplicate family sizes in size-selected short fractions correlated with reduced PCR and sequencing errors.
- Variant allele frequency remained consistent in short fractions, whereas detection was lost in original ccfDNA at error-minimizing depths.
Conclusions:
- Automated isolation of short ccfDNA fragments effectively enriches ctDNA.
- This approach reduces false positives by improving in silico error correction, enhancing diagnostic accuracy.
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