Optimizing Nanopore sequencing-based detection of structural variants enables individualized circulating tumor DNA-based disease monitoring in cancer patients
Keyword(s):
AbstractHere, 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.
2018 ◽
2019 ◽
Vol 12
(3)
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pp. 426-431
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2018 ◽
Vol 90
(19)
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pp. 11203-11209
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2016 ◽
2020 ◽
Vol 8
(2)
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pp. e001065
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