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


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 .

SUBMITTER: Valle-Inclan JE 

PROVIDER: S-EPMC8130429 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature

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

Valle-Inclan Jose Espejo JE   Stangl Christina C   de Jong Anouk C AC   van Dessel Lisanne F LF   van Roosmalen Markus J MJ   Helmijr Jean C A JCA   Renkens Ivo I   Janssen Roel R   de Blank Sam S   de Witte Chris J CJ   Martens John W M JWM   Jansen Maurice P H M MPHM   Lolkema Martijn P MP   Kloosterman Wigard P WP  

Genome medicine 20210518 1


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 me  ...[more]

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