Evidence map›Paper›PMID 29213339›Full record

ArticleClinical epigenetics2017

Comparison of quantification algorithms for circulating cell-free DNA methylation biomarkers in blood plasma from cancer patients.

Luka de Vos, Heidrun Gevensleben, Andreas Schröck, Alina Franzen, Glen Kristiansen, Friedrich Bootz, Dimo Dietrich

Open access · goldAbstract readComparative Study
In one paragraph

Article in Clinical epigenetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 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.

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

21 citing papers in PubMed, 3 syntheses or guidelines pooled it, 42 citations in OpenAlex.

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  20. TheJournal of thoracic disease · 2019
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Luka de VosDepartment of Otolaryngology, University Hospital Bonn, Head and Neck Surgery, Sigmund-Freud-Str. 25, 53127 Bonn, Germany.
Heidrun GevenslebenInstitute of Pathology, University Hospital Bonn (UKB), Bonn, Germany.
Andreas SchröckDepartment of Otolaryngology, University Hospital Bonn, Head and Neck Surgery, Sigmund-Freud-Str. 25, 53127 Bonn, Germany.
Alina FranzenDepartment of Otolaryngology, University Hospital Bonn, Head and Neck Surgery, Sigmund-Freud-Str. 25, 53127 Bonn, Germany.
Glen KristiansenInstitute of Pathology, University Hospital Bonn (UKB), Bonn, Germany.
Friedrich BootzDepartment of Otolaryngology, University Hospital Bonn, Head and Neck Surgery, Sigmund-Freud-Str. 25, 53127 Bonn, Germany.
Dimo DietrichDepartment of Otolaryngology, University Hospital Bonn, Head and Neck Surgery, Sigmund-Freud-Str. 25, 53127 Bonn, Germany.ORCID 0000-0001-9794-7927
University Hospital Bonn · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background

methodsMethylation analyses were performed in a training cohort (141 patients with head and neck squamous cell carcinoma [HNSCC], 170 control cases) and a testing cohort (137 HNSCC cases, 102 controls). DNA was extracted from plasma samples, bisulfite-converted, and analyzed via quantitative real-time PCR.

resultsSporadic methylation in control samples necessitated the introduction of cutoffs resulting in 61-63% sensitivity/90-92% specificity (

conclusionThe concordant clinical performance based on different quantification algorithms allows for the application of various diagnostic platforms for the analysis of ccfDNA methylation biomarkers.

Indexed as

DNA MethylationAlgorithmsArea Under CurveBiomarkers, TumorCarcinoma, Squamous CellCase-Control StudiesCell-Free Nucleic AcidsEpigenesis, GeneticHead and Neck NeoplasmsHomeodomain ProteinsHumansSensitivity and SpecificitySeptinsSquamous Cell Carcinoma of Head and NeckBiomarkers, TumorCell-Free Nucleic AcidsHomeodomain ProteinsSEPTIN9 protein, humanSeptinsSHOX2 protein, humanDiagnostic accuracyDNA methylationFree-circulating cell-free DNAQuantitative real-time PCRQuasi-digital PCRRisk stratificationSEPT9SHOX2ΔCT-methodΔΔCT-method

Identifiers

PMID29213339
PMCPMC5709918
OpenAlexW2775416351

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.