Multicenter Evaluation of Circulating Cell-Free DNA Extraction and Downstream Analyses for the Development of Standardized (Pre)analytical Work Flows.


Journal

Clinical chemistry
ISSN: 1530-8561
Titre abrégé: Clin Chem
Pays: England
ID NLM: 9421549

Informations de publication

Date de publication:
01 01 2020
Historique:
received: 30 04 2019
accepted: 05 08 2019
pubmed: 20 10 2019
medline: 25 7 2020
entrez: 20 10 2019
Statut: ppublish

Résumé

In cancer patients, circulating cell-free DNA (ccfDNA) can contain tumor-derived DNA (ctDNA), which enables noninvasive diagnosis, real-time monitoring, and treatment susceptibility testing. However, ctDNA fractions are highly variable, which challenges downstream applications. Therefore, established preanalytical work flows in combination with cost-efficient and reproducible reference materials for ccfDNA analyses are crucial for analytical validity and subsequently for clinical decision-making. We describe the efforts of the Innovative Medicines Initiative consortium CANCER-ID (http://www.cancer-id.eu) for comparing different technologies for ccfDNA purification, quantification, and characterization in a multicenter setting. To this end, in-house generated mononucleosomal DNA (mnDNA) from lung cancer cell lines carrying known TP53 mutations was spiked in pools of plasma from healthy donors generated from 2 different blood collection tubes (BCTs). ccfDNA extraction was performed at 15 partner sites according to their respective routine practice. Downstream analysis of ccfDNA with respect to recovery, integrity, and mutation analysis was performed centralized at 4 different sites. We demonstrate suitability of mnDNA as a surrogate for ccfDNA as a process quality control from nucleic acid extraction to mutation detection. Although automated extraction protocols and quantitative PCR-based quantification methods yielded the most consistent and precise results, some kits preferentially recovered spiked mnDNA over endogenous ccfDNA. Mutated TP53 fragments derived from mnDNA were consistently detected using both next-generation sequencing-based deep sequencing and droplet digital PCR independently of BCT. This comprehensive multicenter comparison of ccfDNA preanalytical and analytical work flows is an important contribution to establishing evidence-based guidelines for clinically feasible (pre)analytical work flows.

Sections du résumé

BACKGROUND
In cancer patients, circulating cell-free DNA (ccfDNA) can contain tumor-derived DNA (ctDNA), which enables noninvasive diagnosis, real-time monitoring, and treatment susceptibility testing. However, ctDNA fractions are highly variable, which challenges downstream applications. Therefore, established preanalytical work flows in combination with cost-efficient and reproducible reference materials for ccfDNA analyses are crucial for analytical validity and subsequently for clinical decision-making.
METHODS
We describe the efforts of the Innovative Medicines Initiative consortium CANCER-ID (http://www.cancer-id.eu) for comparing different technologies for ccfDNA purification, quantification, and characterization in a multicenter setting. To this end, in-house generated mononucleosomal DNA (mnDNA) from lung cancer cell lines carrying known TP53 mutations was spiked in pools of plasma from healthy donors generated from 2 different blood collection tubes (BCTs). ccfDNA extraction was performed at 15 partner sites according to their respective routine practice. Downstream analysis of ccfDNA with respect to recovery, integrity, and mutation analysis was performed centralized at 4 different sites.
RESULTS
We demonstrate suitability of mnDNA as a surrogate for ccfDNA as a process quality control from nucleic acid extraction to mutation detection. Although automated extraction protocols and quantitative PCR-based quantification methods yielded the most consistent and precise results, some kits preferentially recovered spiked mnDNA over endogenous ccfDNA. Mutated TP53 fragments derived from mnDNA were consistently detected using both next-generation sequencing-based deep sequencing and droplet digital PCR independently of BCT.
CONCLUSIONS
This comprehensive multicenter comparison of ccfDNA preanalytical and analytical work flows is an important contribution to establishing evidence-based guidelines for clinically feasible (pre)analytical work flows.

Identifiants

pubmed: 31628139
pii: clinchem.2019.306837
doi: 10.1373/clinchem.2019.306837
doi:

Substances chimiques

Cell-Free Nucleic Acids 0
Circulating Tumor DNA 0
Nucleosomes 0
TP53 protein, human 0
Tumor Suppressor Protein p53 0

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

149-160

Commentaires et corrections

Type : CommentIn

Informations de copyright

© 2019 American Association for Clinical Chemistry.

Auteurs

Rita Lampignano (R)

Bayer AG, Biomarker Research, Wuppertal, Germany.

Martin H D Neumann (MHD)

Bayer AG, Biomarker Research, Wuppertal, Germany.

Sabrina Weber (S)

Institute of Human Genetics, Diagnostic and Research Center for Molecular BioMedicine, Medical University of Graz, Graz, Austria.
Christian Doppler Laboratory for Liquid Biopsies for Early Detection of Cancer, Graz, Austria.

Vera Kloten (V)

Bayer AG, Biomarker Research, Wuppertal, Germany.

Andrei Herdean (A)

TATAA Biocenter Ab, Gothenburg, Sweden.

Thorsten Voss (T)

PreAnalytiX GmbH, Hombrechtikon, Switzerland.

Daniel Groelz (D)

PreAnalytiX GmbH, Hombrechtikon, Switzerland.

Anna Babayan (A)

University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Marco Tibbesma (M)

University of Groningen, University Medical Center of Groningen, Groningen, the Netherlands.

Martin Schlumpberger (M)

QIAGEN GmbH, Hilden, Germany.

Francesca Chemi (F)

CR-UK Manchester Institute, University of Manchester, Manchester, UK.

Dominic G Rothwell (DG)

CR-UK Manchester Institute, University of Manchester, Manchester, UK.

Harriet Wikman (H)

University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Jean-Pierre Galizzi (JP)

Servier, Suresnes, France.

Inger Riise Bergheim (I)

Department of Cancer Genetics, Institute of Cancer Research, Oslo University Hospital, Oslo, Norway.

Hege Russnes (H)

Department of Cancer Genetics, Institute of Cancer Research, Oslo University Hospital, Oslo, Norway.

Benedetta Mussolin (B)

Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy.

Serena Bonin (S)

University of Trieste, DSM-Cattinara Hospital, Trieste, Italy.

Christine Voigt (C)

Alacris Theranostics GmbH, Berlin, Germany.

Hanny Musa (H)

Boehringer-Ingelheim, Ingelheim am Rhein, Germany.

Pamela Pinzani (P)

University of Florence, Florence, Italy.

Evi Lianidou (E)

University of Athens, Athens, Greece.

Ged Brady (G)

CR-UK Manchester Institute, University of Manchester, Manchester, UK.

Michael R Speicher (MR)

Institute of Human Genetics, Diagnostic and Research Center for Molecular BioMedicine, Medical University of Graz, Graz, Austria.

Klaus Pantel (K)

University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Fay Betsou (F)

Integrated BioBank of Luxembourg, Dudelange, Luxembourg.

Ed Schuuring (E)

University of Groningen, University Medical Center of Groningen, Groningen, the Netherlands.

Mikael Kubista (M)

TATAA Biocenter Ab, Gothenburg, Sweden.

Wim Ammerlaan (W)

Integrated BioBank of Luxembourg, Dudelange, Luxembourg.

Markus Sprenger-Haussels (M)

QIAGEN GmbH, Hilden, Germany.

Thomas Schlange (T)

Bayer AG, Biomarker Research, Wuppertal, Germany.

Ellen Heitzer (E)

Institute of Human Genetics, Diagnostic and Research Center for Molecular BioMedicine, Medical University of Graz, Graz, Austria.
Christian Doppler Laboratory for Liquid Biopsies for Early Detection of Cancer, Graz, Austria.

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Classifications MeSH