High-throughput and affordable genome-wide methylation profiling of circulating cell-free DNA by methylated DNA sequencing (MeD-seq) of LpnPI digested fragments.


Journal

Clinical epigenetics
ISSN: 1868-7083
Titre abrégé: Clin Epigenetics
Pays: Germany
ID NLM: 101516977

Informations de publication

Date de publication:
20 10 2021
Historique:
received: 27 04 2021
accepted: 10 09 2021
entrez: 21 10 2021
pubmed: 22 10 2021
medline: 19 2 2022
Statut: epublish

Résumé

DNA methylation detection in liquid biopsies provides a highly promising and much needed means for real-time monitoring of disease load in advanced cancer patient care. Compared to the often-used somatic mutations, tissue- and cancer-type specific epigenetic marks affect a larger part of the cancer genome and generally have a high penetrance throughout the tumour. Here, we describe the successful application of the recently described MeD-seq assay for genome-wide DNA methylation profiling on cell-free DNA (cfDNA). The compatibility of the MeD-seq assay with different types of blood collection tubes, cfDNA input amounts, cfDNA isolation methods, and vacuum concentration of samples was evaluated using plasma from both metastatic cancer patients and healthy blood donors (HBDs). To investigate the potential value of cfDNA methylation profiling for tumour load monitoring, we profiled paired samples from 8 patients with resectable colorectal liver metastases (CRLM) before and after surgery. The MeD-seq assay worked on plasma-derived cfDNA from both EDTA and CellSave blood collection tubes when at least 10 ng of cfDNA was used. From the 3 evaluated cfDNA isolation methods, both the manual QIAamp Circulating Nucleic Acid Kit (Qiagen) and the semi-automated Maxwell® RSC ccfDNA Plasma Kit (Promega) were compatible with MeD-seq analysis, whereas the QiaSymphony DSP Circulating DNA Kit (Qiagen) yielded significantly fewer reads when compared to the QIAamp kit (p < 0.001). Vacuum concentration of samples before MeD-seq analysis was possible with samples in AVE buffer (QIAamp) or water, but yielded inconsistent results for samples in EDTA-containing Maxwell buffer. Principal component analysis showed that pre-surgical samples from CRLM patients were very distinct from HBDs, whereas post-surgical samples were more similar. Several described methylation markers for colorectal cancer monitoring in liquid biopsies showed differential methylation between pre-surgical CRLM samples and HBDs in our data, supporting the validity of our approach. Results for MSC, ITGA4, GRIA4, and EYA4 were validated by quantitative methylation specific PCR. The MeD-seq assay provides a promising new method for cfDNA methylation profiling. Potential future applications of the assay include marker discovery specifically for liquid biopsy analysis as well as direct use as a disease load monitoring tool in advanced cancer patients.

Sections du résumé

BACKGROUND
DNA methylation detection in liquid biopsies provides a highly promising and much needed means for real-time monitoring of disease load in advanced cancer patient care. Compared to the often-used somatic mutations, tissue- and cancer-type specific epigenetic marks affect a larger part of the cancer genome and generally have a high penetrance throughout the tumour. Here, we describe the successful application of the recently described MeD-seq assay for genome-wide DNA methylation profiling on cell-free DNA (cfDNA). The compatibility of the MeD-seq assay with different types of blood collection tubes, cfDNA input amounts, cfDNA isolation methods, and vacuum concentration of samples was evaluated using plasma from both metastatic cancer patients and healthy blood donors (HBDs). To investigate the potential value of cfDNA methylation profiling for tumour load monitoring, we profiled paired samples from 8 patients with resectable colorectal liver metastases (CRLM) before and after surgery.
RESULTS
The MeD-seq assay worked on plasma-derived cfDNA from both EDTA and CellSave blood collection tubes when at least 10 ng of cfDNA was used. From the 3 evaluated cfDNA isolation methods, both the manual QIAamp Circulating Nucleic Acid Kit (Qiagen) and the semi-automated Maxwell® RSC ccfDNA Plasma Kit (Promega) were compatible with MeD-seq analysis, whereas the QiaSymphony DSP Circulating DNA Kit (Qiagen) yielded significantly fewer reads when compared to the QIAamp kit (p < 0.001). Vacuum concentration of samples before MeD-seq analysis was possible with samples in AVE buffer (QIAamp) or water, but yielded inconsistent results for samples in EDTA-containing Maxwell buffer. Principal component analysis showed that pre-surgical samples from CRLM patients were very distinct from HBDs, whereas post-surgical samples were more similar. Several described methylation markers for colorectal cancer monitoring in liquid biopsies showed differential methylation between pre-surgical CRLM samples and HBDs in our data, supporting the validity of our approach. Results for MSC, ITGA4, GRIA4, and EYA4 were validated by quantitative methylation specific PCR.
CONCLUSIONS
The MeD-seq assay provides a promising new method for cfDNA methylation profiling. Potential future applications of the assay include marker discovery specifically for liquid biopsy analysis as well as direct use as a disease load monitoring tool in advanced cancer patients.

Identifiants

pubmed: 34670587
doi: 10.1186/s13148-021-01177-4
pii: 10.1186/s13148-021-01177-4
pmc: PMC8529776
doi:

Substances chimiques

Cell-Free Nucleic Acids 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

196

Informations de copyright

© 2021. The Author(s).

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Auteurs

Teoman Deger (T)

Department of Medical Oncology, Erasmus MC Cancer Institute, Erasmus Medical Center, Rotterdam, Netherlands.

Ruben G Boers (RG)

Department of Developmental Biology, Erasmus Medical Center, Rotterdam, Netherlands.

Vanja de Weerd (V)

Department of Medical Oncology, Erasmus MC Cancer Institute, Erasmus Medical Center, Rotterdam, Netherlands.

Lindsay Angus (L)

Department of Medical Oncology, Erasmus MC Cancer Institute, Erasmus Medical Center, Rotterdam, Netherlands.

Marjolijn M J van der Put (MMJ)

Department of Medical Oncology, Erasmus MC Cancer Institute, Erasmus Medical Center, Rotterdam, Netherlands.

Joachim B Boers (JB)

Department of Developmental Biology, Erasmus Medical Center, Rotterdam, Netherlands.

Z Azmani (Z)

Center for Biomics, Erasmus Medical Center, Rotterdam, Netherlands.

Wilfred F J van IJcken (WFJ)

Center for Biomics, Erasmus Medical Center, Rotterdam, Netherlands.

Dirk J Grünhagen (DJ)

Department of Oncologic Surgery, Erasmus MC Cancer Institute, Erasmus Medical Center, Rotterdam, Netherlands.

Lisanne F van Dessel (LF)

Department of Medical Oncology, Erasmus MC Cancer Institute, Erasmus Medical Center, Rotterdam, Netherlands.

Martijn P J K Lolkema (MPJK)

Department of Medical Oncology, Erasmus MC Cancer Institute, Erasmus Medical Center, Rotterdam, Netherlands.

Cornelis Verhoef (C)

Department of Oncologic Surgery, Erasmus MC Cancer Institute, Erasmus Medical Center, Rotterdam, Netherlands.

Stefan Sleijfer (S)

Department of Medical Oncology, Erasmus MC Cancer Institute, Erasmus Medical Center, Rotterdam, Netherlands.

John W M Martens (JWM)

Department of Medical Oncology, Erasmus MC Cancer Institute, Erasmus Medical Center, Rotterdam, Netherlands.

Joost Gribnau (J)

Department of Developmental Biology, Erasmus Medical Center, Rotterdam, Netherlands.

Saskia M Wilting (SM)

Department of Medical Oncology, Erasmus MC Cancer Institute, Erasmus Medical Center, Rotterdam, Netherlands. s.wilting@erasmusmc.nl.

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