Evidence map›Paper›PMID 34670587›Full record

ArticleClinical epigenetics2021

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

Teoman Deger, Ruben G Boers, Vanja de Weerd, Lindsay Angus, Marjolijn M J van der Put, Joachim B Boers, Z Azmani, Wilfred F J van IJcken, Dirk J Grünhagen, Lisanne F van Dessel and 6 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Clinical epigenetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06989814 (Smart Measurement of Circulating Tumor DNA), which is not on this map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06989814 narecruitingnot on this mapstarted 2025, after this paper: background citation

Smart Measurement of Circulating Tumor DNA: a Tumor-agnostic Computational Tool to Improve Colorectal Cancer Care

TypeinterventionalSponsorErasmus Medical CenterRan2025 to 2027Enrolled50ConditionsColorectal Neoplasms, Colorectal Neoplasms Malignant, Colorectal Neoplasms, Hereditary Nonpolyposis, Hereditary Nonpolyposis Colon CancerArmsBlood Product
3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 2 institutions in 1 country.

Teoman Deger *Department of Medical Oncology, Erasmus MC Cancer Institute, Erasmus Medical Center, Rotterdam, Netherlands.
Ruben G Boers *Department of Developmental Biology, Erasmus Medical Center, Rotterdam, Netherlands.
Vanja de WeerdDepartment of Medical Oncology, Erasmus MC Cancer Institute, Erasmus Medical Center, Rotterdam, Netherlands.
Lindsay AngusDepartment of Medical Oncology, Erasmus MC Cancer Institute, Erasmus Medical Center, Rotterdam, Netherlands.
Marjolijn M J van der PutDepartment of Medical Oncology, Erasmus MC Cancer Institute, Erasmus Medical Center, Rotterdam, Netherlands.
Joachim B BoersDepartment of Developmental Biology, Erasmus Medical Center, Rotterdam, Netherlands.
Z AzmaniCenter for Biomics, Erasmus Medical Center, Rotterdam, Netherlands.
Wilfred F J van IJckenCenter for Biomics, Erasmus Medical Center, Rotterdam, Netherlands.
Dirk J GrünhagenDepartment of Oncologic Surgery, Erasmus MC Cancer Institute, Erasmus Medical Center, Rotterdam, Netherlands.
Lisanne F van DesselDepartment of Medical Oncology, Erasmus MC Cancer Institute, Erasmus Medical Center, Rotterdam, Netherlands.
Martijn P J K LolkemaDepartment of Medical Oncology, Erasmus MC Cancer Institute, Erasmus Medical Center, Rotterdam, Netherlands.
Cornelis VerhoefDepartment of Oncologic Surgery, Erasmus MC Cancer Institute, Erasmus Medical Center, Rotterdam, Netherlands.
Stefan SleijferDepartment of Medical Oncology, Erasmus MC Cancer Institute, Erasmus Medical Center, Rotterdam, Netherlands.
John W M MartensDepartment of Medical Oncology, Erasmus MC Cancer Institute, Erasmus Medical Center, Rotterdam, Netherlands.
Joost Gribnau *Department of Developmental Biology, Erasmus Medical Center, Rotterdam, Netherlands.
Saskia M Wilting *Department of Medical Oncology, Erasmus MC Cancer Institute, Erasmus Medical Center, Rotterdam, Netherlands. s.wilting@erasmusmc.nl.
Erasmus MC Cancer Institute · NLErasmus MC · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDNA 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.

resultsThe 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.

conclusionsThe 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.

Indexed as

Cell-Free Nucleic AcidsDNA MethylationGenome-Wide Association StudyHumansLiquid BiopsySequence Analysis, DNACell-Free Nucleic AcidscfDNAColorectal cancer liver metastasesDNA methylationLiquid biopsyLpnPIMeD-seqPlasma

Identifiers

PMID34670587
PMCPMC8529776
OpenAlexW3205071334

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.