Quantifying sequencing error and effective sequencing depth of liquid biopsy NGS with UMI error correction.


Journal

BioTechniques
ISSN: 1940-9818
Titre abrégé: Biotechniques
Pays: England
ID NLM: 8306785

Informations de publication

Date de publication:
04 2021
Historique:
pubmed: 30 1 2021
medline: 21 12 2021
entrez: 29 1 2021
Statut: ppublish

Résumé

Liquid biopsies are a minimally invasive method to diagnose and longitudinally monitor tumor mutations in patients when tissue biopsies are difficult (e.g., in lung cancer). The percentage of cell-free tumor DNA in blood plasma ranges from more than 65% to 0.1% or lower. To reliably diagnose tumor mutations at 0.1%, there are two options: unrealistically large volumes of patient blood or library preparation and sequencing depth optimized to low-input DNA. Here, we assess two library preparation methods and analysis workflows to determine feasibility and reliability based on standards with known allelic frequency (0 and 0.13% in

Identifiants

pubmed: 33512245
doi: 10.2144/btn-2020-0124
doi:

Substances chimiques

Circulating Tumor DNA 0
DNA 9007-49-2

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

226-232

Auteurs

Malene Støchkel Frank (MS)

Department of Clinical Oncology & Palliative Care, Zealand University Hospital, Køge, Denmark.
Department of Clinical Medicine, Faculty of Health & Medical Sciences, University of Copenhagen, Copenhagen, Denmark.

Janina Fuß (J)

Institute of Clinical Molecular Biology, Christian Albrechts University Kiel, Kiel 24105, Germany.

Tim Alexander Steiert (TA)

Institute of Clinical Molecular Biology, Christian Albrechts University Kiel, Kiel 24105, Germany.

Greta Streleckiene (G)

Institute for Digestive Research, Lithuanian University of Health Sciences, Kaunas 50161, Lithuania.

Julie Gehl (J)

Department of Clinical Oncology & Palliative Care, Zealand University Hospital, Køge, Denmark.
Department of Clinical Medicine, Faculty of Health & Medical Sciences, University of Copenhagen, Copenhagen, Denmark.

Michael Forster (M)

Institute of Clinical Molecular Biology, Christian Albrechts University Kiel, Kiel 24105, Germany.

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Classifications MeSH