Developing Quality Programs for Cell-Free DNA (cfDNA) Extraction from Peripheral Blood.


Journal

The journal of applied laboratory medicine
ISSN: 2576-9456
Titre abrégé: J Appl Lab Med
Pays: England
ID NLM: 101693884

Informations de publication

Date de publication:
01 07 2020
Historique:
received: 23 04 2019
accepted: 09 01 2020
entrez: 1 7 2020
pubmed: 1 7 2020
medline: 20 7 2021
Statut: ppublish

Résumé

Cell-free DNA (cfDNA) analysis using peripheral blood represents an exciting, minimally invasive technology for cancer diagnosis and monitoring. The reliability of testing is dependent on the accuracy and sensitivity of specific molecular analyses to detect tumor-associated genomic variants and on the quantity and quality of cfDNA available for testing. Specific guidelines for standardization and design of appropriate quality programs focused specifically on cfDNA isolation are lacking, as are standardized quality control reagents. This report describes and illustrates quality control and quality assurance processes, supported by generation of in-house quality control material, to ensure the reliability of the preanalytical phase of cfDNA analysis. We have developed a robust quality program to support high-volume automated cfDNA extraction from peripheral blood by implementing processes and procedures designed to monitor the adequacy of specimen collection, specimen stability, efficiency of cfDNA extraction, and cfDNA quality.

Sections du résumé

BACKGROUND
Cell-free DNA (cfDNA) analysis using peripheral blood represents an exciting, minimally invasive technology for cancer diagnosis and monitoring. The reliability of testing is dependent on the accuracy and sensitivity of specific molecular analyses to detect tumor-associated genomic variants and on the quantity and quality of cfDNA available for testing. Specific guidelines for standardization and design of appropriate quality programs focused specifically on cfDNA isolation are lacking, as are standardized quality control reagents.
CONTENT
This report describes and illustrates quality control and quality assurance processes, supported by generation of in-house quality control material, to ensure the reliability of the preanalytical phase of cfDNA analysis.
SUMMARY
We have developed a robust quality program to support high-volume automated cfDNA extraction from peripheral blood by implementing processes and procedures designed to monitor the adequacy of specimen collection, specimen stability, efficiency of cfDNA extraction, and cfDNA quality.

Identifiants

pubmed: 32603443
pii: 5827808
doi: 10.1093/jalm/jfaa050
doi:

Substances chimiques

Circulating Tumor DNA 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

788-797

Subventions

Organisme : NCI NIH HHS
ID : P30 CA008748
Pays : United States

Informations de copyright

© American Association for Clinical Chemistry 2020. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Auteurs

Aliaksandra Samoila (A)

Department of Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.

Jose Sosa (J)

Department of Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.

Jessica Padilla (J)

Department of Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.

Michael Wutkowski (M)

Department of Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.

Katelynd Vanness (K)

Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY.

Agnes Viale (A)

Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY.

Michael Berger (M)

Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY.

Brian Houck-Loomis (B)

Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY.

Melissa Pessin (M)

Department of Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.

Ellinor I Peerschke (EI)

Department of Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.

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Classifications MeSH