Evidence map›Paper›PMID 37710283›Full record

ArticleClinical epigenetics2023

Evaluation of commercial kits for isolation and bisulfite conversion of circulating cell-free tumor DNA from blood.

Stine H Kresse, Sara Brandt-Winge, Heidi Pharo, Bjørnar T B Flatin, Marine Jeanmougin, Hege Marie Vedeld, Guro E Lind

Open access · goldAbstract read
In one paragraph

Article in Clinical epigenetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.2field-weighted citation impact, top 5% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 27 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

7 authors at 3 institutions in 1 country.

Stine H KresseDepartment of Molecular Oncology, Institute for Cancer Research, Norwegian Radium Hospital, Oslo University Hospital, Montebello, 0379, Oslo, Norway.
Sara Brandt-WingeDepartment of Molecular Oncology, Institute for Cancer Research, Norwegian Radium Hospital, Oslo University Hospital, Montebello, 0379, Oslo, Norway.
Heidi PharoDepartment of Molecular Oncology, Institute for Cancer Research, Norwegian Radium Hospital, Oslo University Hospital, Montebello, 0379, Oslo, Norway.
Bjørnar T B FlatinDepartment of Molecular Oncology, Institute for Cancer Research, Norwegian Radium Hospital, Oslo University Hospital, Montebello, 0379, Oslo, Norway.
Marine JeanmouginDepartment of Molecular Oncology, Institute for Cancer Research, Norwegian Radium Hospital, Oslo University Hospital, Montebello, 0379, Oslo, Norway.
Hege Marie VedeldDepartment of Molecular Oncology, Institute for Cancer Research, Norwegian Radium Hospital, Oslo University Hospital, Montebello, 0379, Oslo, Norway.
Guro E LindDepartment of Molecular Oncology, Institute for Cancer Research, Norwegian Radium Hospital, Oslo University Hospital, Montebello, 0379, Oslo, Norway. guro.elisabeth.lind@rr-research.no.
Oslo University Hospital · NONorwegian Cancer Society · NOUniversity of Oslo · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDNA methylation biomarkers in circulating cell-free DNA (cfDNA) have great clinical potential for cancer management. Most methods for DNA methylation analysis require bisulfite conversion, causing DNA degradation and loss. This is particularly challenging for cfDNA, which is naturally fragmented and normally present in low amounts. The aim of the present study was to identify an optimal combination of cfDNA isolation and bisulfite conversion kits for downstream analysis of DNA methylation biomarkers in plasma.

resultsOf the five tested bisulfite conversion kits (EpiJET Bisulfite Conversion Kit, EpiTect Plus DNA Bisulfite Kit (EpiTect), EZ DNA Methylation-Direct Kit, Imprint DNA Modification Kit (Imprint) and Premium Bisulfite Kit), the highest and lowest DNA yield and recovery were achieved using the EpiTect kit and the Imprint kit, respectively, with more than double the amount of DNA for the EpiTect kit. Of the three tested cfDNA isolation kits (Maxwell RSC ccfDNA Plasma Kit, QIAamp Circulating Nucleic Acid Kit (CNA) and QIAamp MinElute ccfDNA Mini Kit), the CNA kit yielded around twice as much cfDNA compared to the two others kits, although with more high molecular weight DNA present. When comparing various combinations of cfDNA isolation kits and bisulfite conversion kits, the CNA kit and the EpiTect kit were identified as the best-performing combination, resulting in the highest yield of bisulfite converted cfDNA from normal plasma, as measured by droplet digital PCR (ddPCR). As a proof of principle, this kit combination was used to process plasma samples from 13 colorectal cancer patients for subsequent ddPCR methylation analysis of BCAT1 and IKZF1. Methylation of BCAT1 and/or IKZF1 was identified in 6/10 (60%) stage IV patients and 1/3 (33%) stage III patients.

conclusionsBased on a thorough evaluation of five bisulfite conversion kits and three cfDNA isolation kits, both individually and in combination, the CNA kit and the EpiTect kit were identified as the best-performing kit combination, with highest DNA yield and recovery across a range of DNA input amounts. The combination was successfully used for detection of clinically relevant DNA methylation biomarkers in plasma from cancer patients.

Indexed as

Cell-Free Nucleic AcidsCirculating Tumor DNANeoplasmsDNA MethylationHumansSulfitesTransaminasesTranscription FactorsBCAT1 protein, humanCell-Free Nucleic AcidsCirculating Tumor DNAhydrogen sulfiteSulfitesTransaminasesTranscription FactorsBiomarkerBisulfite conversioncfDNAcfDNA isolationCirculating cell-free tumor DNActDNAddPCRDNA methylationLiquid biopsyPlasma

Identifiers

PMID37710283
PMCPMC10503171
OpenAlexW4386745322

What OpenQuestion holds

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Registered trials

None linked

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.