Optimizing Nanopore sequencing-based detection of structural variants enables individualized circulating tumor DNA-based disease monitoring in cancer patients

Research output: Contribution to journalArticleAcademicpeer-review

27 Citations (Scopus)
60 Downloads (Pure)

Abstract

Here, we describe a novel approach for rapid discovery of a set of tumor-specific genomic structural variants (SVs), based on a combination of low coverage cancer genome sequencing using Oxford Nanopore with an SV calling and filtering pipeline. We applied the method to tumor samples of high-grade ovarian and prostate cancer patients and validated on average ten somatic SVs per patient with breakpoint-spanning PCR mini-amplicons. These SVs could be quantified in ctDNA samples of patients with metastatic prostate cancer using a digital PCR assay. The results suggest that SV dynamics correlate with and may improve existing treatment-response biomarkers such as PSA. https://github.com/UMCUGenetics/SHARC.

Original languageEnglish
Article number86
JournalGenome Medicine
Volume13
Issue number1
Early online date18 May 2021
DOIs
Publication statusPublished - Dec 2021

Bibliographical note

Funding Information:
This work has been supported by KWF grant UU 2012-5710 and by funding from the Utrecht University to implement a single-molecule sequencing facility.

Publisher Copyright:
© 2021, The Author(s).

Fingerprint

Dive into the research topics of 'Optimizing Nanopore sequencing-based detection of structural variants enables individualized circulating tumor DNA-based disease monitoring in cancer patients'. Together they form a unique fingerprint.

Cite this