cfDNA-Based NGS IG Analysis in Lymphoma.


Journal

Methods in molecular biology (Clifton, N.J.)
ISSN: 1940-6029
Titre abrégé: Methods Mol Biol
Pays: United States
ID NLM: 9214969

Informations de publication

Date de publication:
2022
Historique:
entrez: 27 5 2022
pubmed: 28 5 2022
medline: 1 6 2022
Statut: ppublish

Résumé

Liquid biopsy is a novel diagnostic approach at first developed to characterize the molecular profile of solid tumors by analyzing body fluids. For cancer patients, it represents a noninvasive way to monitor the status of the solid tumor with respect to representative biomarkers. There is growing interest in the utilization of circulating tumor DNA (ctDNA) analysis also in the diagnostic and prognostic fields of lymphomas. Clonal immunoglobulin (IG) gene rearrangements are fingerprints of the respective lymphoid malignancy and thus are highly suited as specific molecular targets for minimal residual disease (MRD) detection. Tracing of the clonal IG rearrangement patterns in ctDNA pool during treatment can be used for MRD assessment in B-cell lymphomas. Here, we describe a reproducible next-generation sequencing assay to identify and characterize clonal IG gene rearrangements for MRD detection in cell-free DNA.

Identifiants

pubmed: 35622323
doi: 10.1007/978-1-0716-2115-8_7
pmc: PMC9761545
doi:

Substances chimiques

Biomarkers, Tumor 0
Cell-Free Nucleic Acids 0
Circulating Tumor DNA 0
Immunoglobulins 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

101-117

Informations de copyright

© 2022. The Author(s).

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Auteurs

Christiane Pott (C)

Medical Department II, University Hospital Schleswig-Holstein, Kiel, Germany. c.pott@med2.uni-kiel.de.

Michaela Kotrova (M)

Medical Department II, University Hospital Schleswig-Holstein, Kiel, Germany.

Nikos Darzentas (N)

Medical Department II, University Hospital Schleswig-Holstein, Kiel, Germany.

Monika Brüggemann (M)

Medical Department II, University Hospital Schleswig-Holstein, Kiel, Germany.

Mouhamad Khouja (M)

Medical Department II, University Hospital Schleswig-Holstein, Kiel, Germany.

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Classifications MeSH